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Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03895c4299e6337d/run_manifest.json

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+{
+  "run_id": "v2_cli_20260502_081223_f",
+  "dataset_id": "m8",
+  "started_at": "2026-05-19T16:18:34.934261+00:00",
+  "ended_at": "2026-05-19T16:18:42.314900+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m8_03895c4299e6337d",
+    "problem_id": "v2p_m8_e1113aedb21074fa",
+    "dataset_id": "m8",
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_mass_similarity",
+    "intended_facet_id": "tail_ranked_signal",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=age, measure_col=pdays.",
+    "bindings": {
+      "group_col": "age",
+      "measure_col": "pdays",
+      "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": -1.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;",
+    "notes": [
+      "default_facets=tail_ranked_signal",
+      "template_selection_mode=rule",
+      "problem_index_within_template=4",
+      "sql_variant_index=2/2",
+      "binding_index=75"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 7,
+    "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/m8/artifacts/v2q_m8_03895c4299e6337d/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:18:38.052050+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": 3111.24, "started_at": "2026-05-19T16:18:34.940008+00:00", "ended_at": "2026-05-19T16:18:38.051290+00:00", "prompt_metrics": {"chars": 9500, "bytes_utf8": 9500, "lines": 300, "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\":\"019e4108-2c5a-7843-8a2d-4db9d214b2a8\"}\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": "2026-05-19T16:18:42.314787+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": 3260.16, "started_at": "2026-05-19T16:18:39.053673+00:00", "ended_at": "2026-05-19T16:18:42.313880+00:00", "prompt_metrics": {"chars": 9500, "bytes_utf8": 9500, "lines": 300, "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\":\"019e4108-3c73-7621-af9a-af7e7bdce4be\"}\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/m8/artifacts/v2q_m8_03ef404513d6262f/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": "2026-05-19T16:17:26.903460+00:00",
+  "ended_at": "2026-05-19T16:17:29.912892+00:00",
+  "elapsed_ms": 3009.37,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 9125,
+    "bytes_utf8": 9125,
+    "lines": 298,
+    "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/m8/artifacts/v2q_m8_03ef404513d6262f/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": "2026-05-19T16:17:30.915404+00:00",
+  "ended_at": "2026-05-19T16:17:34.085139+00:00",
+  "elapsed_ms": 3169.68,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 9125,
+    "bytes_utf8": 9125,
+    "lines": 298,
+    "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/m8/artifacts/v2q_m8_03ef404513d6262f/cli/sql_prompt_attempt_1.txt

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+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: m8
+- dataset_name: Bank Marketing
+- table_name: m8
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `y`.
+- task_type: classification
+- target_column: y
+- main_row_count: 45211
+- important_fields:
+- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age.
+- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job.
+- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital.
+- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education.
+- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default.
+- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance.
+- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing.
+- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan.
+- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact.
+- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day.
+- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month.
+- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration.
+- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign.
+- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays.
+- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous.
+- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome.
+- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y.
+- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']]
+- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays']
+- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing
+
+SQLite schema snapshot:
+{
+  "table_name": "m8",
+  "quoted_table_name": "\"m8\"",
+  "row_count": 45211,
+  "columns": [
+    {
+      "name": "age",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "job",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "marital",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "education",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "default",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "balance",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "housing",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "loan",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "contact",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "day",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "month",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "campaign",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "pdays",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "previous",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "poutcome",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "y",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "age": "58",
+      "job": "management",
+      "marital": "married",
+      "education": "tertiary",
+      "default": "no",
+      "balance": "2143",
+      "housing": "yes",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "261",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "44",
+      "job": "technician",
+      "marital": "single",
+      "education": "secondary",
+      "default": "no",
+      "balance": "29",
+      "housing": "yes",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "151",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "33",
+      "job": "entrepreneur",
+      "marital": "married",
+      "education": "secondary",
+      "default": "no",
+      "balance": "2",
+      "housing": "yes",
+      "loan": "yes",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "76",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "47",
+      "job": "blue-collar",
+      "marital": "married",
+      "education": "unknown",
+      "default": "no",
+      "balance": "1506",
+      "housing": "yes",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "92",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "33",
+      "job": "unknown",
+      "marital": "single",
+      "education": "unknown",
+      "default": "no",
+      "balance": "1",
+      "housing": "no",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "198",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    }
+  ]
+}
+
+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": "m8",
+  "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=pdays.",
+  "planned_template_id": "tpl_m4_quantile_tail_slice",
+  "bindings": {
+    "measure_col": "pdays",
+    "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": -1.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "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/m8/artifacts/v2q_m8_03ef404513d6262f/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,298 @@
+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: m8
+- dataset_name: Bank Marketing
+- table_name: m8
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `y`.
+- task_type: classification
+- target_column: y
+- main_row_count: 45211
+- important_fields:
+- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age.
+- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job.
+- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital.
+- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education.
+- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default.
+- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance.
+- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing.
+- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan.
+- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact.
+- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day.
+- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month.
+- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration.
+- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign.
+- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays.
+- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous.
+- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome.
+- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y.
+- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']]
+- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays']
+- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing
+
+SQLite schema snapshot:
+{
+  "table_name": "m8",
+  "quoted_table_name": "\"m8\"",
+  "row_count": 45211,
+  "columns": [
+    {
+      "name": "age",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "job",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "marital",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "education",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "default",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "balance",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "housing",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "loan",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "contact",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "day",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "month",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "campaign",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "pdays",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "previous",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "poutcome",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "y",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "age": "58",
+      "job": "management",
+      "marital": "married",
+      "education": "tertiary",
+      "default": "no",
+      "balance": "2143",
+      "housing": "yes",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "261",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "44",
+      "job": "technician",
+      "marital": "single",
+      "education": "secondary",
+      "default": "no",
+      "balance": "29",
+      "housing": "yes",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "151",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "33",
+      "job": "entrepreneur",
+      "marital": "married",
+      "education": "secondary",
+      "default": "no",
+      "balance": "2",
+      "housing": "yes",
+      "loan": "yes",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "76",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "47",
+      "job": "blue-collar",
+      "marital": "married",
+      "education": "unknown",
+      "default": "no",
+      "balance": "1506",
+      "housing": "yes",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "92",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "33",
+      "job": "unknown",
+      "marital": "single",
+      "education": "unknown",
+      "default": "no",
+      "balance": "1",
+      "housing": "no",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "198",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    }
+  ]
+}
+
+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": "m8",
+  "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=pdays.",
+  "planned_template_id": "tpl_m4_quantile_tail_slice",
+  "bindings": {
+    "measure_col": "pdays",
+    "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": -1.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "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/m8/artifacts/v2q_m8_03ef404513d6262f/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4107-22d4-7272-9efc-85a3ced12d01"}
+{"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/m8/artifacts/v2q_m8_03ef404513d6262f/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4107-22d4-7272-9efc-85a3ced12d01"}
+{"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/m8/artifacts/v2q_m8_03ef404513d6262f/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4107-3288-7f10-8f8a-149c16df1da2"}
+{"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/m8/artifacts/v2q_m8_03ef404513d6262f/cli/sql_response_attempt_2.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4107-3288-7f10-8f8a-149c16df1da2"}
+{"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/m8/artifacts/v2q_m8_088c9fb9ff5b25c4/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": "2026-05-19T16:14:36.924290+00:00",
+  "ended_at": "2026-05-19T16:14:40.444475+00:00",
+  "elapsed_ms": 3520.16,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 9768,
+    "bytes_utf8": 9768,
+    "lines": 303,
+    "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/m8/artifacts/v2q_m8_088c9fb9ff5b25c4/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": "2026-05-19T16:14:41.446202+00:00",
+  "ended_at": "2026-05-19T16:14:44.307204+00:00",
+  "elapsed_ms": 2860.96,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 9768,
+    "bytes_utf8": 9768,
+    "lines": 303,
+    "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/m8/artifacts/v2q_m8_088c9fb9ff5b25c4/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,303 @@
+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: m8
+- dataset_name: Bank Marketing
+- table_name: m8
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `y`.
+- task_type: classification
+- target_column: y
+- main_row_count: 45211
+- important_fields:
+- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age.
+- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job.
+- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital.
+- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education.
+- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default.
+- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance.
+- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing.
+- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan.
+- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact.
+- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day.
+- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month.
+- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration.
+- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign.
+- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays.
+- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous.
+- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome.
+- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y.
+- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']]
+- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays']
+- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing
+
+SQLite schema snapshot:
+{
+  "table_name": "m8",
+  "quoted_table_name": "\"m8\"",
+  "row_count": 45211,
+  "columns": [
+    {
+      "name": "age",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "job",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "marital",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "education",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "default",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "balance",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "housing",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "loan",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "contact",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "day",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "month",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "campaign",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "pdays",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "previous",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "poutcome",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "y",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "age": "58",
+      "job": "management",
+      "marital": "married",
+      "education": "tertiary",
+      "default": "no",
+      "balance": "2143",
+      "housing": "yes",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "261",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "44",
+      "job": "technician",
+      "marital": "single",
+      "education": "secondary",
+      "default": "no",
+      "balance": "29",
+      "housing": "yes",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "151",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "33",
+      "job": "entrepreneur",
+      "marital": "married",
+      "education": "secondary",
+      "default": "no",
+      "balance": "2",
+      "housing": "yes",
+      "loan": "yes",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "76",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "47",
+      "job": "blue-collar",
+      "marital": "married",
+      "education": "unknown",
+      "default": "no",
+      "balance": "1506",
+      "housing": "yes",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "92",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "33",
+      "job": "unknown",
+      "marital": "single",
+      "education": "unknown",
+      "default": "no",
+      "balance": "1",
+      "housing": "no",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "198",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_ratio_two_conditions",
+    "template_name": "Grouped Ratio of Two Conditions",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "m8",
+  "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=previous, condition_col=default.",
+  "planned_template_id": "tpl_m4_group_ratio_two_conditions",
+  "bindings": {
+    "group_col": "previous",
+    "condition_col": "default",
+    "condition_value": "no",
+    "positive_value": "no",
+    "negative_value": "yes",
+    "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": 48.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_088c9fb9ff5b25c4/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,303 @@
+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: m8
+- dataset_name: Bank Marketing
+- table_name: m8
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `y`.
+- task_type: classification
+- target_column: y
+- main_row_count: 45211
+- important_fields:
+- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age.
+- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job.
+- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital.
+- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education.
+- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default.
+- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance.
+- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing.
+- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan.
+- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact.
+- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day.
+- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month.
+- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration.
+- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign.
+- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays.
+- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous.
+- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome.
+- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y.
+- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']]
+- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays']
+- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing
+
+SQLite schema snapshot:
+{
+  "table_name": "m8",
+  "quoted_table_name": "\"m8\"",
+  "row_count": 45211,
+  "columns": [
+    {
+      "name": "age",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "job",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "marital",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "education",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "default",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "balance",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "housing",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "loan",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "contact",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "day",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "month",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "campaign",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "pdays",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "previous",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "poutcome",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "y",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "age": "58",
+      "job": "management",
+      "marital": "married",
+      "education": "tertiary",
+      "default": "no",
+      "balance": "2143",
+      "housing": "yes",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "261",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "44",
+      "job": "technician",
+      "marital": "single",
+      "education": "secondary",
+      "default": "no",
+      "balance": "29",
+      "housing": "yes",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "151",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "33",
+      "job": "entrepreneur",
+      "marital": "married",
+      "education": "secondary",
+      "default": "no",
+      "balance": "2",
+      "housing": "yes",
+      "loan": "yes",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "76",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "47",
+      "job": "blue-collar",
+      "marital": "married",
+      "education": "unknown",
+      "default": "no",
+      "balance": "1506",
+      "housing": "yes",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "92",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "33",
+      "job": "unknown",
+      "marital": "single",
+      "education": "unknown",
+      "default": "no",
+      "balance": "1",
+      "housing": "no",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "198",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_ratio_two_conditions",
+    "template_name": "Grouped Ratio of Two Conditions",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "m8",
+  "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=previous, condition_col=default.",
+  "planned_template_id": "tpl_m4_group_ratio_two_conditions",
+  "bindings": {
+    "group_col": "previous",
+    "condition_col": "default",
+    "condition_value": "no",
+    "positive_value": "no",
+    "negative_value": "yes",
+    "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": 48.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_088c9fb9ff5b25c4/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4104-8a71-72e0-a257-ba0cebcabfa1"}
+{"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/m8/artifacts/v2q_m8_088c9fb9ff5b25c4/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4104-8a71-72e0-a257-ba0cebcabfa1"}
+{"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/m8/artifacts/v2q_m8_088c9fb9ff5b25c4/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4104-9c14-7661-8fe7-c304b39ea37a"}
+{"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/m8/artifacts/v2q_m8_088c9fb9ff5b25c4/cli/sql_response_attempt_2.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4104-9c14-7661-8fe7-c304b39ea37a"}
+{"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/m8/artifacts/v2q_m8_089e3dca82792f37/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": "2026-05-19T16:17:50.523568+00:00",
+  "ended_at": "2026-05-19T16:17:56.534215+00:00",
+  "elapsed_ms": 6010.6,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 9516,
+    "bytes_utf8": 9516,
+    "lines": 300,
+    "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/m8/artifacts/v2q_m8_089e3dca82792f37/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": "2026-05-19T16:17:57.537044+00:00",
+  "ended_at": "2026-05-19T16:18:00.947836+00:00",
+  "elapsed_ms": 3410.73,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 9516,
+    "bytes_utf8": 9516,
+    "lines": 300,
+    "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/m8/artifacts/v2q_m8_089e3dca82792f37/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,300 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: m8
+- dataset_name: Bank Marketing
+- table_name: m8
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `y`.
+- task_type: classification
+- target_column: y
+- main_row_count: 45211
+- important_fields:
+- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age.
+- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job.
+- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital.
+- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education.
+- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default.
+- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance.
+- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing.
+- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan.
+- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact.
+- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day.
+- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month.
+- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration.
+- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign.
+- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays.
+- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous.
+- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome.
+- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y.
+- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']]
+- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays']
+- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing
+
+SQLite schema snapshot:
+{
+  "table_name": "m8",
+  "quoted_table_name": "\"m8\"",
+  "row_count": 45211,
+  "columns": [
+    {
+      "name": "age",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "job",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "marital",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "education",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "default",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "balance",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "housing",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "loan",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "contact",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "day",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "month",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "campaign",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "pdays",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "previous",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "poutcome",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "y",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "age": "58",
+      "job": "management",
+      "marital": "married",
+      "education": "tertiary",
+      "default": "no",
+      "balance": "2143",
+      "housing": "yes",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "261",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "44",
+      "job": "technician",
+      "marital": "single",
+      "education": "secondary",
+      "default": "no",
+      "balance": "29",
+      "housing": "yes",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "151",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "33",
+      "job": "entrepreneur",
+      "marital": "married",
+      "education": "secondary",
+      "default": "no",
+      "balance": "2",
+      "housing": "yes",
+      "loan": "yes",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "76",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "47",
+      "job": "blue-collar",
+      "marital": "married",
+      "education": "unknown",
+      "default": "no",
+      "balance": "1506",
+      "housing": "yes",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "92",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "33",
+      "job": "unknown",
+      "marital": "single",
+      "education": "unknown",
+      "default": "no",
+      "balance": "1",
+      "housing": "no",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "198",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "m8",
+  "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=poutcome, measure_col=duration.",
+  "planned_template_id": "tpl_tpch_relative_total_threshold",
+  "bindings": {
+    "group_col": "poutcome",
+    "measure_col": "duration",
+    "top_k": 13,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 319.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_089e3dca82792f37/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,300 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: m8
+- dataset_name: Bank Marketing
+- table_name: m8
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `y`.
+- task_type: classification
+- target_column: y
+- main_row_count: 45211
+- important_fields:
+- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age.
+- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job.
+- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital.
+- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education.
+- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default.
+- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance.
+- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing.
+- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan.
+- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact.
+- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day.
+- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month.
+- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration.
+- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign.
+- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays.
+- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous.
+- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome.
+- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y.
+- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']]
+- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays']
+- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing
+
+SQLite schema snapshot:
+{
+  "table_name": "m8",
+  "quoted_table_name": "\"m8\"",
+  "row_count": 45211,
+  "columns": [
+    {
+      "name": "age",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "job",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "marital",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "education",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "default",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "balance",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "housing",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "loan",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "contact",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "day",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "month",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "campaign",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "pdays",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "previous",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "poutcome",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "y",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "age": "58",
+      "job": "management",
+      "marital": "married",
+      "education": "tertiary",
+      "default": "no",
+      "balance": "2143",
+      "housing": "yes",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "261",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "44",
+      "job": "technician",
+      "marital": "single",
+      "education": "secondary",
+      "default": "no",
+      "balance": "29",
+      "housing": "yes",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "151",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "33",
+      "job": "entrepreneur",
+      "marital": "married",
+      "education": "secondary",
+      "default": "no",
+      "balance": "2",
+      "housing": "yes",
+      "loan": "yes",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "76",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "47",
+      "job": "blue-collar",
+      "marital": "married",
+      "education": "unknown",
+      "default": "no",
+      "balance": "1506",
+      "housing": "yes",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "92",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "33",
+      "job": "unknown",
+      "marital": "single",
+      "education": "unknown",
+      "default": "no",
+      "balance": "1",
+      "housing": "no",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "198",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "m8",
+  "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=poutcome, measure_col=duration.",
+  "planned_template_id": "tpl_tpch_relative_total_threshold",
+  "bindings": {
+    "group_col": "poutcome",
+    "measure_col": "duration",
+    "top_k": 13,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 319.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_089e3dca82792f37/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4107-7f30-7ba1-9410-f38640adabe7"}
+{"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/m8/artifacts/v2q_m8_089e3dca82792f37/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4107-7f30-7ba1-9410-f38640adabe7"}
+{"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/m8/artifacts/v2q_m8_089e3dca82792f37/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4107-9aab-7751-bed8-09a5de93cfbd"}
+{"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/m8/artifacts/v2q_m8_089e3dca82792f37/cli/sql_response_attempt_2.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4107-9aab-7751-bed8-09a5de93cfbd"}
+{"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/m8/artifacts/v2q_m8_0ad7ca2c7a113f6d/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": "2026-05-19T16:07:56.278156+00:00",
+  "ended_at": "2026-05-19T16:08:01.079540+00:00",
+  "elapsed_ms": 4801.36,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 8949,
+    "bytes_utf8": 8949,
+    "lines": 300,
+    "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/m8/artifacts/v2q_m8_0ad7ca2c7a113f6d/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": "2026-05-19T16:08:02.081069+00:00",
+  "ended_at": "2026-05-19T16:08:05.118100+00:00",
+  "elapsed_ms": 3037.01,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 8949,
+    "bytes_utf8": 8949,
+    "lines": 300,
+    "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/m8/artifacts/v2q_m8_0ad7ca2c7a113f6d/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,300 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: m8
+- dataset_name: Bank Marketing
+- table_name: m8
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `y`.
+- task_type: classification
+- target_column: y
+- main_row_count: 45211
+- important_fields:
+- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age.
+- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job.
+- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital.
+- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education.
+- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default.
+- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance.
+- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing.
+- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan.
+- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact.
+- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day.
+- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month.
+- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration.
+- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign.
+- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays.
+- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous.
+- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome.
+- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y.
+- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']]
+- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays']
+- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing
+
+SQLite schema snapshot:
+{
+  "table_name": "m8",
+  "quoted_table_name": "\"m8\"",
+  "row_count": 45211,
+  "columns": [
+    {
+      "name": "age",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "job",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "marital",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "education",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "default",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "balance",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "housing",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "loan",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "contact",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "day",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "month",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "campaign",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "pdays",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "previous",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "poutcome",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "y",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "age": "58",
+      "job": "management",
+      "marital": "married",
+      "education": "tertiary",
+      "default": "no",
+      "balance": "2143",
+      "housing": "yes",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "261",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "44",
+      "job": "technician",
+      "marital": "single",
+      "education": "secondary",
+      "default": "no",
+      "balance": "29",
+      "housing": "yes",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "151",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "33",
+      "job": "entrepreneur",
+      "marital": "married",
+      "education": "secondary",
+      "default": "no",
+      "balance": "2",
+      "housing": "yes",
+      "loan": "yes",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "76",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "47",
+      "job": "blue-collar",
+      "marital": "married",
+      "education": "unknown",
+      "default": "no",
+      "balance": "1506",
+      "housing": "yes",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "92",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "33",
+      "job": "unknown",
+      "marital": "single",
+      "education": "unknown",
+      "default": "no",
+      "balance": "1",
+      "housing": "no",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "198",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "m8",
+  "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=job, measure_col=balance.",
+  "planned_template_id": "tpl_h2o_group_sum",
+  "bindings": {
+    "group_col": "job",
+    "measure_col": "balance",
+    "top_k": 11,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 1428.0,
+    "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}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ad7ca2c7a113f6d/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,300 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: m8
+- dataset_name: Bank Marketing
+- table_name: m8
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `y`.
+- task_type: classification
+- target_column: y
+- main_row_count: 45211
+- important_fields:
+- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age.
+- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job.
+- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital.
+- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education.
+- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default.
+- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance.
+- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing.
+- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan.
+- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact.
+- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day.
+- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month.
+- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration.
+- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign.
+- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays.
+- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous.
+- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome.
+- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y.
+- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']]
+- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays']
+- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing
+
+SQLite schema snapshot:
+{
+  "table_name": "m8",
+  "quoted_table_name": "\"m8\"",
+  "row_count": 45211,
+  "columns": [
+    {
+      "name": "age",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "job",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "marital",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "education",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "default",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "balance",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "housing",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "loan",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "contact",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "day",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "month",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "campaign",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "pdays",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "previous",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "poutcome",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "y",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "age": "58",
+      "job": "management",
+      "marital": "married",
+      "education": "tertiary",
+      "default": "no",
+      "balance": "2143",
+      "housing": "yes",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "261",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "44",
+      "job": "technician",
+      "marital": "single",
+      "education": "secondary",
+      "default": "no",
+      "balance": "29",
+      "housing": "yes",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "151",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "33",
+      "job": "entrepreneur",
+      "marital": "married",
+      "education": "secondary",
+      "default": "no",
+      "balance": "2",
+      "housing": "yes",
+      "loan": "yes",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "76",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "47",
+      "job": "blue-collar",
+      "marital": "married",
+      "education": "unknown",
+      "default": "no",
+      "balance": "1506",
+      "housing": "yes",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "92",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "33",
+      "job": "unknown",
+      "marital": "single",
+      "education": "unknown",
+      "default": "no",
+      "balance": "1",
+      "housing": "no",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "198",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "m8",
+  "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=job, measure_col=balance.",
+  "planned_template_id": "tpl_h2o_group_sum",
+  "bindings": {
+    "group_col": "job",
+    "measure_col": "balance",
+    "top_k": 11,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 1428.0,
+    "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}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ad7ca2c7a113f6d/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fe-6d7a-78d2-af49-4aa9838038f5"}
+{"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/m8/artifacts/v2q_m8_0ad7ca2c7a113f6d/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fe-6d7a-78d2-af49-4aa9838038f5"}
+{"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/m8/artifacts/v2q_m8_0ad7ca2c7a113f6d/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fe-8431-7fe3-8d04-3fe4f853f7d9"}
+{"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/m8/artifacts/v2q_m8_0ad7ca2c7a113f6d/cli/sql_response_attempt_2.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fe-8431-7fe3-8d04-3fe4f853f7d9"}
+{"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/m8/artifacts/v2q_m8_0c4031cf0e95f112/run_manifest.json

@@ -0,0 +1,71 @@
+{
+  "run_id": "v2_cli_20260502_081223_f",
+  "dataset_id": "m8",
+  "started_at": "2026-05-19T16:12:20.517402+00:00",
+  "ended_at": "2026-05-19T16:12:28.007460+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m8_0c4031cf0e95f112",
+    "problem_id": "v2p_m8_3b2e3ebc4dbcce81",
+    "dataset_id": "m8",
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "dependency_strength_similarity",
+    "intended_facet_id": "pairwise_conditional_dependency",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=y, measure_col=balance.",
+    "bindings": {
+      "group_col": "y",
+      "measure_col": "balance",
+      "item_col": "day",
+      "top_k": 14,
+      "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": 1428.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "notes": [
+      "default_facets=pairwise_conditional_dependency",
+      "template_selection_mode=rule",
+      "problem_index_within_template=6",
+      "sql_variant_index=1/2",
+      "binding_index=29"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 3,
+    "problem_index_within_template": 6,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}

Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0c4031cf0e95f112/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:12:23.754560+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": 3232.97, "started_at": "2026-05-19T16:12:20.520459+00:00", "ended_at": "2026-05-19T16:12:23.753458+00:00", "prompt_metrics": {"chars": 9346, "bytes_utf8": 9346, "lines": 302, "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\":\"019e4102-75a9-72d1-9776-6ec7b9785575\"}\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": "2026-05-19T16:12:28.007349+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": 3249.95, "started_at": "2026-05-19T16:12:24.756412+00:00", "ended_at": "2026-05-19T16:12:28.006405+00:00", "prompt_metrics": {"chars": 9346, "bytes_utf8": 9346, "lines": 302, "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\":\"019e4102-8637-7111-9252-109afd1e35e9\"}\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/m8/artifacts/v2q_m8_0ceb98ace664f54d/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": "2026-05-19T16:07:49.054523+00:00",
+  "ended_at": "2026-05-19T16:07:51.935270+00:00",
+  "elapsed_ms": 2880.71,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 8941,
+    "bytes_utf8": 8941,
+    "lines": 300,
+    "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/m8/artifacts/v2q_m8_0ceb98ace664f54d/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": "2026-05-19T16:07:52.937200+00:00",
+  "ended_at": "2026-05-19T16:07:56.273891+00:00",
+  "elapsed_ms": 3336.66,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 8941,
+    "bytes_utf8": 8941,
+    "lines": 300,
+    "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/m8/artifacts/v2q_m8_0ceb98ace664f54d/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,300 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: m8
+- dataset_name: Bank Marketing
+- table_name: m8
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `y`.
+- task_type: classification
+- target_column: y
+- main_row_count: 45211
+- important_fields:
+- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age.
+- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job.
+- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital.
+- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education.
+- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default.
+- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance.
+- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing.
+- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan.
+- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact.
+- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day.
+- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month.
+- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration.
+- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign.
+- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays.
+- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous.
+- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome.
+- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y.
+- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']]
+- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays']
+- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing
+
+SQLite schema snapshot:
+{
+  "table_name": "m8",
+  "quoted_table_name": "\"m8\"",
+  "row_count": 45211,
+  "columns": [
+    {
+      "name": "age",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "job",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "marital",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "education",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "default",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "balance",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "housing",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "loan",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "contact",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "day",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "month",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "campaign",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "pdays",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "previous",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "poutcome",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "y",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "age": "58",
+      "job": "management",
+      "marital": "married",
+      "education": "tertiary",
+      "default": "no",
+      "balance": "2143",
+      "housing": "yes",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "261",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "44",
+      "job": "technician",
+      "marital": "single",
+      "education": "secondary",
+      "default": "no",
+      "balance": "29",
+      "housing": "yes",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "151",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "33",
+      "job": "entrepreneur",
+      "marital": "married",
+      "education": "secondary",
+      "default": "no",
+      "balance": "2",
+      "housing": "yes",
+      "loan": "yes",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "76",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "47",
+      "job": "blue-collar",
+      "marital": "married",
+      "education": "unknown",
+      "default": "no",
+      "balance": "1506",
+      "housing": "yes",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "92",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "33",
+      "job": "unknown",
+      "marital": "single",
+      "education": "unknown",
+      "default": "no",
+      "balance": "1",
+      "housing": "no",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "198",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "m8",
+  "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=age, measure_col=age.",
+  "planned_template_id": "tpl_h2o_group_sum",
+  "bindings": {
+    "group_col": "age",
+    "measure_col": "age",
+    "top_k": 15,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 45.0,
+    "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}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ceb98ace664f54d/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,300 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: m8
+- dataset_name: Bank Marketing
+- table_name: m8
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 16 feature columns and target `y`.
+- task_type: classification
+- target_column: y
+- main_row_count: 45211
+- important_fields:
+- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age.
+- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job.
+- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital.
+- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education.
+- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default.
+- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance.
+- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing.
+- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan.
+- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact.
+- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day.
+- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month.
+- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration.
+- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign.
+- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays.
+- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous.
+- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome.
+- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y.
+- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']]
+- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays']
+- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing
+
+SQLite schema snapshot:
+{
+  "table_name": "m8",
+  "quoted_table_name": "\"m8\"",
+  "row_count": 45211,
+  "columns": [
+    {
+      "name": "age",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "job",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "marital",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "education",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "default",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "balance",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "housing",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "loan",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "contact",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "day",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "month",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "campaign",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "pdays",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "previous",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "poutcome",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "y",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "age": "58",
+      "job": "management",
+      "marital": "married",
+      "education": "tertiary",
+      "default": "no",
+      "balance": "2143",
+      "housing": "yes",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "261",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "44",
+      "job": "technician",
+      "marital": "single",
+      "education": "secondary",
+      "default": "no",
+      "balance": "29",
+      "housing": "yes",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "151",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "33",
+      "job": "entrepreneur",
+      "marital": "married",
+      "education": "secondary",
+      "default": "no",
+      "balance": "2",
+      "housing": "yes",
+      "loan": "yes",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "76",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "47",
+      "job": "blue-collar",
+      "marital": "married",
+      "education": "unknown",
+      "default": "no",
+      "balance": "1506",
+      "housing": "yes",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "92",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    },
+    {
+      "age": "33",
+      "job": "unknown",
+      "marital": "single",
+      "education": "unknown",
+      "default": "no",
+      "balance": "1",
+      "housing": "no",
+      "loan": "no",
+      "contact": "unknown",
+      "day": "5",
+      "month": "may",
+      "duration": "198",
+      "campaign": "1",
+      "pdays": "-1",
+      "previous": "0",
+      "poutcome": "unknown",
+      "y": "no"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "m8",
+  "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=age, measure_col=age.",
+  "planned_template_id": "tpl_h2o_group_sum",
+  "bindings": {
+    "group_col": "age",
+    "measure_col": "age",
+    "top_k": 15,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 45.0,
+    "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}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ceb98ace664f54d/cli/sql_response_attempt_1.raw.txt

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+{"type":"turn.started"}
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+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}

Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ceb98ace664f54d/cli/sql_response_attempt_1.txt

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+{"type":"turn.started"}
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+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}