Add files using upload-large-folder tool

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0021f5dfbee080c3/cli/conversation.jsonl

@@ -0,0 +1,4 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 15305, "bytes_utf8": 15305, "lines": 468, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "}
+{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 15305, "bytes_utf8": 15305, "lines": 468, "estimated_tokens": null}}
+{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 1832, "bytes_utf8": 1832, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 17144, "cached_input_tokens": 15744, "output_tokens": 3021, "reasoning_output_tokens": 2389}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0021f5dfbee080c3/cli/session_summary.json

@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 2,
+  "usage_summary": {
+    "dataset_id": "n16",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n16_0021f5dfbee080c3",
+    "api_calls": 0,
+    "input_tokens": 17144,
+    "cached_input_tokens": 15744,
+    "output_tokens": 3021,
+    "total_tokens": 20165,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 2,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 42980.73,
+    "sql_execution_elapsed_ms_total": 1281.27,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0021f5dfbee080c3/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0021f5dfbee080c3/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:55:17.968103+00:00",
+  "ended_at": "2026-05-19T15:55:21.181546+00:00",
+  "elapsed_ms": 3213.41,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 15305,
+    "bytes_utf8": 15305,
+    "lines": 468,
+    "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_c/n16/artifacts/v2q_n16_0021f5dfbee080c3/cli/sql_attempt_2.metadata.json

@@ -0,0 +1,45 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:55:22.183694+00:00",
+  "ended_at": "2026-05-19T15:56:01.951050+00:00",
+  "elapsed_ms": 39767.32,
+  "prompt_metrics": {
+    "chars": 15305,
+    "bytes_utf8": 15305,
+    "lines": 468,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 2460,
+    "bytes_utf8": 2460,
+    "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": 1832,
+      "bytes_utf8": 1832,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 17144,
+      "cached_input_tokens": 15744,
+      "output_tokens": 3021,
+      "reasoning_output_tokens": 2389
+    }
+  },
+  "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_c/n16/artifacts/v2q_n16_0021f5dfbee080c3/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,468 @@
+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: n16
+- dataset_name: Creditcardfraud
+- table_name: n16
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 30 feature columns and target `Class`.
+- task_type: classification
+- target_column: Class
+- main_row_count: 284807
+- important_fields:
+- Time: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Time.
+- V1: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V1.
+- V2: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V2.
+- V3: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V3.
+- V4: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V4.
+- V5: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V5.
+- V6: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V6.
+- V7: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V7.
+- V8: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V8.
+- V9: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V9.
+- V10: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V10.
+- V11: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V11.
+- V12: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V12.
+- V13: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V13.
+- V14: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V14.
+- V15: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V15.
+- V16: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V16.
+- V17: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V17.
+- V18: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V18.
+- V19: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V19.
+- V20: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V20.
+- V21: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V21.
+- V22: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V22.
+- V23: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V23.
+- V24: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V24.
+- V25: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V25.
+- V26: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V26.
+- V27: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V27.
+- V28: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V28.
+- Amount: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Amount.
+- Class: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class.
+- useful_field_combinations: [['Class', 'Time', 'Class'], ['Time', 'V1', 'Class']]
+- fields_requiring_caution: ['Class', 'Time', 'V1', 'V2']
+- source_url: https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud
+
+SQLite schema snapshot:
+{
+  "table_name": "n16",
+  "quoted_table_name": "\"n16\"",
+  "row_count": 284807,
+  "columns": [
+    {
+      "name": "Time",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V17",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V18",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V19",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V20",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V21",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V22",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V23",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V24",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V25",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V26",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V27",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V28",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Amount",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "Time": "0",
+      "V1": "-1.3598071336738",
+      "V2": "-0.0727811733098497",
+      "V3": "2.53634673796914",
+      "V4": "1.37815522427443",
+      "V5": "-0.338320769942518",
+      "V6": "0.462387777762292",
+      "V7": "0.239598554061257",
+      "V8": "0.0986979012610507",
+      "V9": "0.363786969611213",
+      "V10": "0.0907941719789316",
+      "V11": "-0.551599533260813",
+      "V12": "-0.617800855762348",
+      "V13": "-0.991389847235408",
+      "V14": "-0.311169353699879",
+      "V15": "1.46817697209427",
+      "V16": "-0.470400525259478",
+      "V17": "0.207971241929242",
+      "V18": "0.0257905801985591",
+      "V19": "0.403992960255733",
+      "V20": "0.251412098239705",
+      "V21": "-0.018306777944153",
+      "V22": "0.277837575558899",
+      "V23": "-0.110473910188767",
+      "V24": "0.0669280749146731",
+      "V25": "0.128539358273528",
+      "V26": "-0.189114843888824",
+      "V27": "0.133558376740387",
+      "V28": "-0.0210530534538215",
+      "Amount": "149.62",
+      "Class": "0"
+    },
+    {
+      "Time": "0",
+      "V1": "1.19185711131486",
+      "V2": "0.26615071205963",
+      "V3": "0.16648011335321",
+      "V4": "0.448154078460911",
+      "V5": "0.0600176492822243",
+      "V6": "-0.0823608088155687",
+      "V7": "-0.0788029833323113",
+      "V8": "0.0851016549148104",
+      "V9": "-0.255425128109186",
+      "V10": "-0.166974414004614",
+      "V11": "1.61272666105479",
+      "V12": "1.06523531137287",
+      "V13": "0.48909501589608",
+      "V14": "-0.143772296441519",
+      "V15": "0.635558093258208",
+      "V16": "0.463917041022171",
+      "V17": "-0.114804663102346",
+      "V18": "-0.183361270123994",
+      "V19": "-0.145783041325259",
+      "V20": "-0.0690831352230203",
+      "V21": "-0.225775248033138",
+      "V22": "-0.638671952771851",
+      "V23": "0.101288021253234",
+      "V24": "-0.339846475529127",
+      "V25": "0.167170404418143",
+      "V26": "0.125894532368176",
+      "V27": "-0.00898309914322813",
+      "V28": "0.0147241691924927",
+      "Amount": "2.69",
+      "Class": "0"
+    },
+    {
+      "Time": "1",
+      "V1": "-1.35835406159823",
+      "V2": "-1.34016307473609",
+      "V3": "1.77320934263119",
+      "V4": "0.379779593034328",
+      "V5": "-0.503198133318193",
+      "V6": "1.80049938079263",
+      "V7": "0.791460956450422",
+      "V8": "0.247675786588991",
+      "V9": "-1.51465432260583",
+      "V10": "0.207642865216696",
+      "V11": "0.624501459424895",
+      "V12": "0.066083685268831",
+      "V13": "0.717292731410831",
+      "V14": "-0.165945922763554",
+      "V15": "2.34586494901581",
+      "V16": "-2.89008319444231",
+      "V17": "1.10996937869599",
+      "V18": "-0.121359313195888",
+      "V19": "-2.26185709530414",
+      "V20": "0.524979725224404",
+      "V21": "0.247998153469754",
+      "V22": "0.771679401917229",
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+      "V27": "-0.0553527940384261",
+      "V28": "-0.0597518405929204",
+      "Amount": "378.66",
+      "Class": "0"
+    },
+    {
+      "Time": "1",
+      "V1": "-0.966271711572087",
+      "V2": "-0.185226008082898",
+      "V3": "1.79299333957872",
+      "V4": "-0.863291275036453",
+      "V5": "-0.0103088796030823",
+      "V6": "1.24720316752486",
+      "V7": "0.23760893977178",
+      "V8": "0.377435874652262",
+      "V9": "-1.38702406270197",
+      "V10": "-0.0549519224713749",
+      "V11": "-0.226487263835401",
+      "V12": "0.178228225877303",
+      "V13": "0.507756869957169",
+      "V14": "-0.28792374549456",
+      "V15": "-0.631418117709045",
+      "V16": "-1.0596472454325",
+      "V17": "-0.684092786345479",
+      "V18": "1.96577500349538",
+      "V19": "-1.2326219700892",
+      "V20": "-0.208037781160366",
+      "V21": "-0.108300452035545",
+      "V22": "0.00527359678253453",
+      "V23": "-0.190320518742841",
+      "V24": "-1.17557533186321",
+      "V25": "0.647376034602038",
+      "V26": "-0.221928844458407",
+      "V27": "0.0627228487293033",
+      "V28": "0.0614576285006353",
+      "Amount": "123.5",
+      "Class": "0"
+    },
+    {
+      "Time": "2",
+      "V1": "-1.15823309349523",
+      "V2": "0.877736754848451",
+      "V3": "1.548717846511",
+      "V4": "0.403033933955121",
+      "V5": "-0.407193377311653",
+      "V6": "0.0959214624684256",
+      "V7": "0.592940745385545",
+      "V8": "-0.270532677192282",
+      "V9": "0.817739308235294",
+      "V10": "0.753074431976354",
+      "V11": "-0.822842877946363",
+      "V12": "0.53819555014995",
+      "V13": "1.3458515932154",
+      "V14": "-1.11966983471731",
+      "V15": "0.175121130008994",
+      "V16": "-0.451449182813529",
+      "V17": "-0.237033239362776",
+      "V18": "-0.0381947870352842",
+      "V19": "0.803486924960175",
+      "V20": "0.408542360392758",
+      "V21": "-0.00943069713232919",
+      "V22": "0.79827849458971",
+      "V23": "-0.137458079619063",
+      "V24": "0.141266983824769",
+      "V25": "-0.206009587619756",
+      "V26": "0.502292224181569",
+      "V27": "0.219422229513348",
+      "V28": "0.215153147499206",
+      "Amount": "69.99",
+      "Class": "0"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n16",
+  "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Class, measure_col=V28.",
+  "planned_template_id": "tpl_grouped_percentile_point",
+  "bindings": {
+    "group_col": "Class",
+    "measure_col": "V28",
+    "top_k": 18,
+    "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": 0.064065,
+    "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},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0021f5dfbee080c3/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,468 @@
+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: n16
+- dataset_name: Creditcardfraud
+- table_name: n16
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 30 feature columns and target `Class`.
+- task_type: classification
+- target_column: Class
+- main_row_count: 284807
+- important_fields:
+- Time: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Time.
+- V1: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V1.
+- V2: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V2.
+- V3: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V3.
+- V4: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V4.
+- V5: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V5.
+- V6: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V6.
+- V7: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V7.
+- V8: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V8.
+- V9: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V9.
+- V10: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V10.
+- V11: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V11.
+- V12: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V12.
+- V13: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V13.
+- V14: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V14.
+- V15: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V15.
+- V16: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V16.
+- V17: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V17.
+- V18: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V18.
+- V19: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V19.
+- V20: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V20.
+- V21: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V21.
+- V22: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V22.
+- V23: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V23.
+- V24: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V24.
+- V25: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V25.
+- V26: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V26.
+- V27: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V27.
+- V28: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for V28.
+- Amount: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Amount.
+- Class: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class.
+- useful_field_combinations: [['Class', 'Time', 'Class'], ['Time', 'V1', 'Class']]
+- fields_requiring_caution: ['Class', 'Time', 'V1', 'V2']
+- source_url: https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud
+
+SQLite schema snapshot:
+{
+  "table_name": "n16",
+  "quoted_table_name": "\"n16\"",
+  "row_count": 284807,
+  "columns": [
+    {
+      "name": "Time",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V10",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V11",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V12",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V13",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V14",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V15",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V16",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V17",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V18",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V19",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V20",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V21",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V22",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V23",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V24",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V25",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V26",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V27",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "V28",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Amount",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "Time": "0",
+      "V1": "-1.3598071336738",
+      "V2": "-0.0727811733098497",
+      "V3": "2.53634673796914",
+      "V4": "1.37815522427443",
+      "V5": "-0.338320769942518",
+      "V6": "0.462387777762292",
+      "V7": "0.239598554061257",
+      "V8": "0.0986979012610507",
+      "V9": "0.363786969611213",
+      "V10": "0.0907941719789316",
+      "V11": "-0.551599533260813",
+      "V12": "-0.617800855762348",
+      "V13": "-0.991389847235408",
+      "V14": "-0.311169353699879",
+      "V15": "1.46817697209427",
+      "V16": "-0.470400525259478",
+      "V17": "0.207971241929242",
+      "V18": "0.0257905801985591",
+      "V19": "0.403992960255733",
+      "V20": "0.251412098239705",
+      "V21": "-0.018306777944153",
+      "V22": "0.277837575558899",
+      "V23": "-0.110473910188767",
+      "V24": "0.0669280749146731",
+      "V25": "0.128539358273528",
+      "V26": "-0.189114843888824",
+      "V27": "0.133558376740387",
+      "V28": "-0.0210530534538215",
+      "Amount": "149.62",
+      "Class": "0"
+    },
+    {
+      "Time": "0",
+      "V1": "1.19185711131486",
+      "V2": "0.26615071205963",
+      "V3": "0.16648011335321",
+      "V4": "0.448154078460911",
+      "V5": "0.0600176492822243",
+      "V6": "-0.0823608088155687",
+      "V7": "-0.0788029833323113",
+      "V8": "0.0851016549148104",
+      "V9": "-0.255425128109186",
+      "V10": "-0.166974414004614",
+      "V11": "1.61272666105479",
+      "V12": "1.06523531137287",
+      "V13": "0.48909501589608",
+      "V14": "-0.143772296441519",
+      "V15": "0.635558093258208",
+      "V16": "0.463917041022171",
+      "V17": "-0.114804663102346",
+      "V18": "-0.183361270123994",
+      "V19": "-0.145783041325259",
+      "V20": "-0.0690831352230203",
+      "V21": "-0.225775248033138",
+      "V22": "-0.638671952771851",
+      "V23": "0.101288021253234",
+      "V24": "-0.339846475529127",
+      "V25": "0.167170404418143",
+      "V26": "0.125894532368176",
+      "V27": "-0.00898309914322813",
+      "V28": "0.0147241691924927",
+      "Amount": "2.69",
+      "Class": "0"
+    },
+    {
+      "Time": "1",
+      "V1": "-1.35835406159823",
+      "V2": "-1.34016307473609",
+      "V3": "1.77320934263119",
+      "V4": "0.379779593034328",
+      "V5": "-0.503198133318193",
+      "V6": "1.80049938079263",
+      "V7": "0.791460956450422",
+      "V8": "0.247675786588991",
+      "V9": "-1.51465432260583",
+      "V10": "0.207642865216696",
+      "V11": "0.624501459424895",
+      "V12": "0.066083685268831",
+      "V13": "0.717292731410831",
+      "V14": "-0.165945922763554",
+      "V15": "2.34586494901581",
+      "V16": "-2.89008319444231",
+      "V17": "1.10996937869599",
+      "V18": "-0.121359313195888",
+      "V19": "-2.26185709530414",
+      "V20": "0.524979725224404",
+      "V21": "0.247998153469754",
+      "V22": "0.771679401917229",
+      "V23": "0.909412262347719",
+      "V24": "-0.689280956490685",
+      "V25": "-0.327641833735251",
+      "V26": "-0.139096571514147",
+      "V27": "-0.0553527940384261",
+      "V28": "-0.0597518405929204",
+      "Amount": "378.66",
+      "Class": "0"
+    },
+    {
+      "Time": "1",
+      "V1": "-0.966271711572087",
+      "V2": "-0.185226008082898",
+      "V3": "1.79299333957872",
+      "V4": "-0.863291275036453",
+      "V5": "-0.0103088796030823",
+      "V6": "1.24720316752486",
+      "V7": "0.23760893977178",
+      "V8": "0.377435874652262",
+      "V9": "-1.38702406270197",
+      "V10": "-0.0549519224713749",
+      "V11": "-0.226487263835401",
+      "V12": "0.178228225877303",
+      "V13": "0.507756869957169",
+      "V14": "-0.28792374549456",
+      "V15": "-0.631418117709045",
+      "V16": "-1.0596472454325",
+      "V17": "-0.684092786345479",
+      "V18": "1.96577500349538",
+      "V19": "-1.2326219700892",
+      "V20": "-0.208037781160366",
+      "V21": "-0.108300452035545",
+      "V22": "0.00527359678253453",
+      "V23": "-0.190320518742841",
+      "V24": "-1.17557533186321",
+      "V25": "0.647376034602038",
+      "V26": "-0.221928844458407",
+      "V27": "0.0627228487293033",
+      "V28": "0.0614576285006353",
+      "Amount": "123.5",
+      "Class": "0"
+    },
+    {
+      "Time": "2",
+      "V1": "-1.15823309349523",
+      "V2": "0.877736754848451",
+      "V3": "1.548717846511",
+      "V4": "0.403033933955121",
+      "V5": "-0.407193377311653",
+      "V6": "0.0959214624684256",
+      "V7": "0.592940745385545",
+      "V8": "-0.270532677192282",
+      "V9": "0.817739308235294",
+      "V10": "0.753074431976354",
+      "V11": "-0.822842877946363",
+      "V12": "0.53819555014995",
+      "V13": "1.3458515932154",
+      "V14": "-1.11966983471731",
+      "V15": "0.175121130008994",
+      "V16": "-0.451449182813529",
+      "V17": "-0.237033239362776",
+      "V18": "-0.0381947870352842",
+      "V19": "0.803486924960175",
+      "V20": "0.408542360392758",
+      "V21": "-0.00943069713232919",
+      "V22": "0.79827849458971",
+      "V23": "-0.137458079619063",
+      "V24": "0.141266983824769",
+      "V25": "-0.206009587619756",
+      "V26": "0.502292224181569",
+      "V27": "0.219422229513348",
+      "V28": "0.215153147499206",
+      "Amount": "69.99",
+      "Class": "0"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n16",
+  "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Class, measure_col=V28.",
+  "planned_template_id": "tpl_grouped_percentile_point",
+  "bindings": {
+    "group_col": "Class",
+    "measure_col": "V28",
+    "top_k": 18,
+    "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": 0.064065,
+    "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},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0021f5dfbee080c3/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f2-db5a-79b3-a93d-7e3605195129"}
+{"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_c/n16/artifacts/v2q_n16_0021f5dfbee080c3/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f2-db5a-79b3-a93d-7e3605195129"}
+{"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_c/n16/artifacts/v2q_n16_0021f5dfbee080c3/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f2-ebde-7290-806b-0878596a60bd"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"__base\\\" AS (\\n  SELECT\\n    \\\"Class\\\",\\n    CAST(\\\"V28\\\" AS REAL) AS \\\"V28_value\\\"\\n  FROM \\\"n16\\\"\\n  WHERE NULLIF(TRIM(\\\"Class\\\"), '') IS NOT NULL\\n    AND NULLIF(TRIM(\\\"V28\\\"), '') IS NOT NULL\\n),\\n\\\"__ranked\\\" AS (\\n  SELECT\\n    \\\"Class\\\",\\n    \\\"V28_value\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY \\\"Class\\\"\\n      ORDER BY \\\"V28_value\\\"\\n    ) AS \\\"rn\\\",\\n    COUNT(*) OVER (\\n      PARTITION BY \\\"Class\\\"\\n    ) AS \\\"cnt\\\"\\n  FROM \\\"__base\\\"\\n),\\n\\\"__params\\\" AS (\\n  SELECT DISTINCT\\n    \\\"Class\\\",\\n    (1.0 + (0.9 * (\\\"cnt\\\" - 1))) AS \\\"pos\\\",\\n    CAST(1.0 + (0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"lower_rn\\\",\\n    CAST(1.0 + (0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) + CASE\\n      WHEN (1.0 + (0.9 * (\\\"cnt\\\" - 1))) > CAST(1.0 + (0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) THEN 1\\n      ELSE 0\\n    END AS \\\"upper_rn\\\"\\n  FROM \\\"__ranked\\\"\\n),\\n\\\"__picked\\\" AS (\\n  SELECT\\n    p.\\\"Class\\\",\\n    p.\\\"pos\\\",\\n    p.\\\"lower_rn\\\",\\n    p.\\\"upper_rn\\\",\\n    lr.\\\"V28_value\\\" AS \\\"lower_value\\\",\\n    ur.\\\"V28_value\\\" AS \\\"upper_value\\\"\\n  FROM \\\"__params\\\" AS p\\n  JOIN \\\"__ranked\\\" AS lr\\n    ON lr.\\\"Class\\\" = p.\\\"Class\\\"\\n   AND lr.\\\"rn\\\" = p.\\\"lower_rn\\\"\\n  JOIN \\\"__ranked\\\" AS ur\\n    ON ur.\\\"Class\\\" = p.\\\"Class\\\"\\n   AND ur.\\\"rn\\\" = p.\\\"upper_rn\\\"\\n)\\nSELECT\\n  \\\"Class\\\",\\n  CASE\\n    WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_value\\\"\\n    ELSE \\\"lower_value\\\" + (\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_value\\\" - \\\"lower_value\\\")\\n  END AS \\\"percentile_measure\\\"\\nFROM \\\"__picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"Emulates SQLite-compatible PERCENTILE_CONT(0.9) for grouped percentile by computing the 90th-percentile position within each \\\"Class\\\" and linearly interpolating over CAST(\\\"V28\\\" AS REAL), while filtering null or blank text values.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":17144,"cached_input_tokens":15744,"output_tokens":3021,"reasoning_output_tokens":2389}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0021f5dfbee080c3/cli/sql_response_attempt_2.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"__base\" AS (\n  SELECT\n    \"Class\",\n    CAST(\"V28\" AS REAL) AS \"V28_value\"\n  FROM \"n16\"\n  WHERE NULLIF(TRIM(\"Class\"), '') IS NOT NULL\n    AND NULLIF(TRIM(\"V28\"), '') IS NOT NULL\n),\n\"__ranked\" AS (\n  SELECT\n    \"Class\",\n    \"V28_value\",\n    ROW_NUMBER() OVER (\n      PARTITION BY \"Class\"\n      ORDER BY \"V28_value\"\n    ) AS \"rn\",\n    COUNT(*) OVER (\n      PARTITION BY \"Class\"\n    ) AS \"cnt\"\n  FROM \"__base\"\n),\n\"__params\" AS (\n  SELECT DISTINCT\n    \"Class\",\n    (1.0 + (0.9 * (\"cnt\" - 1))) AS \"pos\",\n    CAST(1.0 + (0.9 * (\"cnt\" - 1)) AS INTEGER) AS \"lower_rn\",\n    CAST(1.0 + (0.9 * (\"cnt\" - 1)) AS INTEGER) + CASE\n      WHEN (1.0 + (0.9 * (\"cnt\" - 1))) > CAST(1.0 + (0.9 * (\"cnt\" - 1)) AS INTEGER) THEN 1\n      ELSE 0\n    END AS \"upper_rn\"\n  FROM \"__ranked\"\n),\n\"__picked\" AS (\n  SELECT\n    p.\"Class\",\n    p.\"pos\",\n    p.\"lower_rn\",\n    p.\"upper_rn\",\n    lr.\"V28_value\" AS \"lower_value\",\n    ur.\"V28_value\" AS \"upper_value\"\n  FROM \"__params\" AS p\n  JOIN \"__ranked\" AS lr\n    ON lr.\"Class\" = p.\"Class\"\n   AND lr.\"rn\" = p.\"lower_rn\"\n  JOIN \"__ranked\" AS ur\n    ON ur.\"Class\" = p.\"Class\"\n   AND ur.\"rn\" = p.\"upper_rn\"\n)\nSELECT\n  \"Class\",\n  CASE\n    WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_value\"\n    ELSE \"lower_value\" + (\"pos\" - \"lower_rn\") * (\"upper_value\" - \"lower_value\")\n  END AS \"percentile_measure\"\nFROM \"__picked\"\nORDER BY \"percentile_measure\" DESC;","notes":"Emulates SQLite-compatible PERCENTILE_CONT(0.9) for grouped percentile by computing the 90th-percentile position within each \"Class\" and linearly interpolating over CAST(\"V28\" AS REAL), while filtering null or blank text values."}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0021f5dfbee080c3/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Class, measure_col=V28.
+Result preview: [{"Class": "1", "percentile_measure": 0.658252606391839}, {"Class": "0", "percentile_measure": 0.17927000732078}]

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0021f5dfbee080c3/generated_sql.sql

@@ -0,0 +1,69 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_c
+-- sql_source_dataset_id: n16
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_concentration_consistency
+-- intended_facet_id: rare_target_concentration
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_grouped_percentile_point
+-- query_record_id: v2q_n16_0021f5dfbee080c3
+-- problem_id: v2p_n16_2192f807e196e2ec
+-- realization_mode: agent
+-- source_kind: agent
+WITH "__base" AS (
+  SELECT
+    "Class",
+    CAST("V28" AS REAL) AS "V28_value"
+  FROM "n16"
+  WHERE NULLIF(TRIM("Class"), '') IS NOT NULL
+    AND NULLIF(TRIM("V28"), '') IS NOT NULL
+),
+"__ranked" AS (
+  SELECT
+    "Class",
+    "V28_value",
+    ROW_NUMBER() OVER (
+      PARTITION BY "Class"
+      ORDER BY "V28_value"
+    ) AS "rn",
+    COUNT(*) OVER (
+      PARTITION BY "Class"
+    ) AS "cnt"
+  FROM "__base"
+),
+"__params" AS (
+  SELECT DISTINCT
+    "Class",
+    (1.0 + (0.9 * ("cnt" - 1))) AS "pos",
+    CAST(1.0 + (0.9 * ("cnt" - 1)) AS INTEGER) AS "lower_rn",
+    CAST(1.0 + (0.9 * ("cnt" - 1)) AS INTEGER) + CASE
+      WHEN (1.0 + (0.9 * ("cnt" - 1))) > CAST(1.0 + (0.9 * ("cnt" - 1)) AS INTEGER) THEN 1
+      ELSE 0
+    END AS "upper_rn"
+  FROM "__ranked"
+),
+"__picked" AS (
+  SELECT
+    p."Class",
+    p."pos",
+    p."lower_rn",
+    p."upper_rn",
+    lr."V28_value" AS "lower_value",
+    ur."V28_value" AS "upper_value"
+  FROM "__params" AS p
+  JOIN "__ranked" AS lr
+    ON lr."Class" = p."Class"
+   AND lr."rn" = p."lower_rn"
+  JOIN "__ranked" AS ur
+    ON ur."Class" = p."Class"
+   AND ur."rn" = p."upper_rn"
+)
+SELECT
+  "Class",
+  CASE
+    WHEN "lower_rn" = "upper_rn" THEN "lower_value"
+    ELSE "lower_value" + ("pos" - "lower_rn") * ("upper_value" - "lower_value")
+  END AS "percentile_measure"
+FROM "__picked"
+ORDER BY "percentile_measure" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0021f5dfbee080c3/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"__base\" AS (\n  SELECT\n    \"Class\",\n    CAST(\"V28\" AS REAL) AS \"V28_value\"\n  FROM \"n16\"\n  WHERE NULLIF(TRIM(\"Class\"), '') IS NOT NULL\n    AND NULLIF(TRIM(\"V28\"), '') IS NOT NULL\n),\n\"__ranked\" AS (\n  SELECT\n    \"Class\",\n    \"V28_value\",\n    ROW_NUMBER() OVER (\n      PARTITION BY \"Class\"\n      ORDER BY \"V28_value\"\n    ) AS \"rn\",\n    COUNT(*) OVER (\n      PARTITION BY \"Class\"\n    ) AS \"cnt\"\n  FROM \"__base\"\n),\n\"__params\" AS (\n  SELECT DISTINCT\n    \"Class\",\n    (1.0 + (0.9 * (\"cnt\" - 1))) AS \"pos\",\n    CAST(1.0 + (0.9 * (\"cnt\" - 1)) AS INTEGER) AS \"lower_rn\",\n    CAST(1.0 + (0.9 * (\"cnt\" - 1)) AS INTEGER) + CASE\n      WHEN (1.0 + (0.9 * (\"cnt\" - 1))) > CAST(1.0 + (0.9 * (\"cnt\" - 1)) AS INTEGER) THEN 1\n      ELSE 0\n    END AS \"upper_rn\"\n  FROM \"__ranked\"\n),\n\"__picked\" AS (\n  SELECT\n    p.\"Class\",\n    p.\"pos\",\n    p.\"lower_rn\",\n    p.\"upper_rn\",\n    lr.\"V28_value\" AS \"lower_value\",\n    ur.\"V28_value\" AS \"upper_value\"\n  FROM \"__params\" AS p\n  JOIN \"__ranked\" AS lr\n    ON lr.\"Class\" = p.\"Class\"\n   AND lr.\"rn\" = p.\"lower_rn\"\n  JOIN \"__ranked\" AS ur\n    ON ur.\"Class\" = p.\"Class\"\n   AND ur.\"rn\" = p.\"upper_rn\"\n)\nSELECT\n  \"Class\",\n  CASE\n    WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_value\"\n    ELSE \"lower_value\" + (\"pos\" - \"lower_rn\") * (\"upper_value\" - \"lower_value\")\n  END AS \"percentile_measure\"\nFROM \"__picked\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"__base\\\" AS (\\n  SELECT\\n    \\\"Class\\\",\\n    CAST(\\\"V28\\\" AS REAL) AS \\\"V28_value\\\"\\n  FROM \\\"n16\\\"\\n  WHERE NULLIF(TRIM(\\\"Class\\\"), '') IS NOT NULL\\n    AND NULLIF(TRIM(\\\"V28\\\"), '') IS NOT NULL\\n),\\n\\\"__ranked\\\" AS (\\n  SELECT\\n    \\\"Class\\\",\\n    \\\"V28_value\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY \\\"Class\\\"\\n      ORDER BY \\\"V28_value\\\"\\n    ) AS \\\"rn\\\",\\n    COUNT(*) OVER (\\n      PARTITION BY \\\"Class\\\"\\n    ) AS \\\"cnt\\\"\\n  FROM \\\"__base\\\"\\n),\\n\\\"__params\\\" AS (\\n  SELECT DISTINCT\\n    \\\"Class\\\",\\n    (1.0 + (0.9 * (\\\"cnt\\\" - 1))) AS \\\"pos\\\",\\n    CAST(1.0 + (0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"lower_rn\\\",\\n    CAST(1.0 + (0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) + CASE\\n      WHEN (1.0 + (0.9 * (\\\"cnt\\\" - 1))) > CAST(1.0 + (0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) THEN 1\\n      ELSE 0\\n    END AS \\\"upper_rn\\\"\\n  FROM \\\"__ranked\\\"\\n),\\n\\\"__picked\\\" AS (\\n  SELECT\\n    p.\\\"Class\\\",\\n    p.\\\"pos\\\",\\n    p.\\\"lower_rn\\\",\\n    p.\\\"upper_rn\\\",\\n    lr.\\\"V28_value\\\" AS \\\"lower_value\\\",\\n    ur.\\\"V28_value\\\" AS \\\"upper_value\\\"\\n  FROM \\\"__params\\\" AS p\\n  JOIN \\\"__ranked\\\" AS lr\\n    ON lr.\\\"Class\\\" = p.\\\"Class\\\"\\n   AND lr.\\\"rn\\\" = p.\\\"lower_rn\\\"\\n  JOIN \\\"__ranked\\\" AS ur\\n    ON ur.\\\"Class\\\" = p.\\\"Class\\\"\\n   AND ur.\\\"rn\\\" = p.\\\"upper_rn\\\"\\n)\\nSELECT\\n  \\\"Class\\\",\\n  CASE\\n    WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_value\\\"\\n    ELSE \\\"lower_value\\\" + (\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_value\\\" - \\\"lower_value\\\")\\n  END AS \\\"percentile_measure\\\"\\nFROM \\\"__picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"Class\", \"percentile_measure\"], \"rows\": [{\"Class\": \"1\", \"percentile_measure\": 0.658252606391839}, {\"Class\": \"0\", \"percentile_measure\": 0.17927000732078}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1281.27}"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0021f5dfbee080c3/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_c",
+  "dataset_id": "n16",
+  "started_at": "2026-05-19T15:55:17.913470+00:00",
+  "ended_at": "2026-05-19T15:56:03.235446+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n16_0021f5dfbee080c3",
+    "problem_id": "v2p_n16_2192f807e196e2ec",
+    "dataset_id": "n16",
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_concentration_consistency",
+    "intended_facet_id": "rare_target_concentration",
+    "variant_semantic_role": "ranked_signal_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Class, measure_col=V28.",
+    "bindings": {
+      "group_col": "Class",
+      "measure_col": "V28",
+      "top_k": 18,
+      "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": 0.064065,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "notes": [
+      "default_facets=rare_target_concentration",
+      "template_selection_mode=rule",
+      "problem_index_within_template=5",
+      "sql_variant_index=2/2",
+      "binding_index=88"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 8,
+    "problem_index_within_template": 5,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n16/sql/v2q_n16_0021f5dfbee080c3.sql",
+  "usage_summary": {
+    "dataset_id": "n16",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n16_0021f5dfbee080c3",
+    "api_calls": 0,
+    "input_tokens": 17144,
+    "cached_input_tokens": 15744,
+    "output_tokens": 3021,
+    "total_tokens": 20165,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 2,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 42980.73,
+    "sql_execution_elapsed_ms_total": 1281.27,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0021f5dfbee080c3/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0021f5dfbee080c3/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T15:55:21.182400+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": 3213.41, "started_at": "2026-05-19T15:55:17.968103+00:00", "ended_at": "2026-05-19T15:55:21.181546+00:00", "prompt_metrics": {"chars": 15305, "bytes_utf8": 15305, "lines": 468, "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\":\"019e40f2-db5a-79b3-a93d-7e3605195129\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T15:56:01.951844+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 39767.32, "started_at": "2026-05-19T15:55:22.183694+00:00", "ended_at": "2026-05-19T15:56:01.951050+00:00", "prompt_metrics": {"chars": 15305, "bytes_utf8": 15305, "lines": 468, "estimated_tokens": null}, "response_metrics": {"chars": 1832, "bytes_utf8": 1832, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 17144, "cached_input_tokens": 15744, "output_tokens": 3021, "reasoning_output_tokens": 2389}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"__base\\\" AS (\\n  SELECT\\n    \\\"Class\\\",\\n    CAST(\\\"V28\\\" AS REAL) AS \\\"V28_value\\\"\\n  FROM \\\"n16\\\"\\n  WHERE NULLIF(TRIM(\\\"Class\\\"), '') IS NOT NULL\\n    AND NULLIF(TRIM(\\\"V28\\\"), '') IS NOT NULL\\n),\\n\\\"__ranked\\\" AS (\\n  SELECT\\n    \\\"Class\\\",\\n    \\\"V28_value\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY \\\"Class\\\"\\n      ORDER BY \\\"V28_value\\\"\\n    ) AS \\\"rn\\\",\\n    COUNT(*) OVER (\\n      PARTITION BY \\\"Class\\\"\\n    ) AS \\\"cnt\\\"\\n  FROM \\\"__base\\\"\\n),\\n\\\"__params\\\" AS (\\n  SELECT DISTINCT\\n    \\\"Class\\\",\\n    (1.0 + (0.9 * (\\\"cnt\\\" - 1))) AS \\\"pos\\\",\\n    CAST(1.0 + (0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"lower_rn\\\",\\n    CAST(1.0 + (0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) + CASE\\n      WHEN (1.0 + (0.9 * (\\\"cnt\\\" - 1))) > CAST(1.0 + (0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) THEN 1\\n      ELSE 0\\n    END AS \\\"upper_rn\\\"\\n  FROM \\\"__ranked\\\"\\n),\\n\\\"__picked\\\" AS (\\n  SELECT\\n    p.\\\"Class\\\",\\n    p.\\\"pos\\\",\\n    p.\\\"lower_rn\\\",\\n    p.\\\"u"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0021f5dfbee080c3/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n16",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n16_0021f5dfbee080c3",
+  "api_calls": 0,
+  "input_tokens": 17144,
+  "cached_input_tokens": 15744,
+  "output_tokens": 3021,
+  "total_tokens": 20165,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 2,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 42980.73,
+  "sql_execution_elapsed_ms_total": 1281.27,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0021f5dfbee080c3/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_009aa1d7bfbe9b84/run_manifest.json

@@ -0,0 +1,67 @@
+{
+  "run_id": "v2_cli_20260502_081223_c",
+  "dataset_id": "n16",
+  "started_at": "2026-05-19T16:02:39.009670+00:00",
+  "ended_at": "2026-05-19T16:02:46.857863+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n16_009aa1d7bfbe9b84",
+    "problem_id": "v2p_n16_ed16464e919691e3",
+    "dataset_id": "n16",
+    "template_id": "tpl_threshold_rarity_cdf",
+    "template_name": "Threshold Rarity CDF",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_set_consistency",
+    "intended_facet_id": "low_support_extremes",
+    "variant_semantic_role": "rare_extreme_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=V24.",
+    "bindings": {
+      "measure_col": "V24",
+      "top_k": 14,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 0.150969,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};",
+    "notes": [
+      "default_facets=low_support_extremes",
+      "template_selection_mode=rule",
+      "problem_index_within_template=7",
+      "sql_variant_index=1/1",
+      "binding_index=114"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 10,
+    "problem_index_within_template": 7,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_009aa1d7bfbe9b84/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:02:42.501022+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": 3436.29, "started_at": "2026-05-19T16:02:39.063779+00:00", "ended_at": "2026-05-19T16:02:42.500095+00:00", "prompt_metrics": {"chars": 15069, "bytes_utf8": 15069, "lines": 466, "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\":\"019e40f9-9669-72c3-a152-ae8c0c646dbf\"}\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": "2026-05-19T16:02:46.857767+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": 3354.02, "started_at": "2026-05-19T16:02:43.502888+00:00", "ended_at": "2026-05-19T16:02:46.856958+00:00", "prompt_metrics": {"chars": 15069, "bytes_utf8": 15069, "lines": 466, "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\":\"019e40f9-a7af-7143-8858-5c85f26b1907\"}\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_c/n16/artifacts/v2q_n16_06cf7c2c7a3b4e91/final_answer.txt

@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"V5": "-0.562776680773863", "support": 77, "avg_response": 0.488305742562781}, {"V5": "2.46307225982454", "support": 77, "avg_response": -2.75204095570008}, {"V5": "0.298310371498215", "support": 62, "avg_response": -1.68183566862495}, {"V5": "1.32662310684685", "support": 60, "avg_response": -0.681986192919261}, {"V5": "2.60935827084169", "support": 53, "avg_response": -2.9559336648319494}]}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_06cf7c2c7a3b4e91/generated_sql.sql

@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_c
+-- sql_source_dataset_id: n16
+-- family_id: cardinality_structure
+-- canonical_subitem_id: high_cardinality_response_stability
+-- intended_facet_id: target_cardinality_cross_section
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_cardinality_high_card_response_stability
+-- query_record_id: v2q_n16_06cf7c2c7a3b4e91
+-- problem_id: v2p_n16_6a7801ce8d3d9633
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "V5",
+    COUNT(*) AS support,
+    AVG("V3") AS avg_response
+FROM "n16"
+GROUP BY "V5"
+HAVING COUNT(*) >= 5.0
+ORDER BY support DESC, avg_response DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_06cf7c2c7a3b4e91/query_results.jsonl

@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: n16\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_n16_06cf7c2c7a3b4e91\n-- problem_id: v2p_n16_6a7801ce8d3d9633\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n    \"V5\",\n    COUNT(*) AS support,\n    AVG(\"V3\") AS avg_response\nFROM \"n16\"\nGROUP BY \"V5\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: n16\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_n16_06cf7c2c7a3b4e91\\n-- problem_id: v2p_n16_6a7801ce8d3d9633\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n    \\\"V5\\\",\\n    COUNT(*) AS support,\\n    AVG(\\\"V3\\\") AS avg_response\\nFROM \\\"n16\\\"\\nGROUP BY \\\"V5\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"V5\", \"support\", \"avg_response\"], \"rows\": [{\"V5\": \"-0.562776680773863\", \"support\": 77, \"avg_response\": 0.488305742562781}, {\"V5\": \"2.46307225982454\", \"support\": 77, \"avg_response\": -2.75204095570008}, {\"V5\": \"0.298310371498215\", \"support\": 62, \"avg_response\": -1.68183566862495}, {\"V5\": \"1.32662310684685\", \"support\": 60, \"avg_response\": -0.681986192919261}, {\"V5\": \"2.60935827084169\", \"support\": 53, \"avg_response\": -2.9559336648319494}, {\"V5\": \"3.51011694221752\", \"support\": 48, \"avg_response\": -4.50820053235418}, {\"V5\": \"2.6413512514436\", \"support\": 45, \"avg_response\": -2.16559660467804}, {\"V5\": \"1.69843605562986\", \"support\": 40, \"avg_response\": -1.68981370722484}, {\"V5\": \"2.58323382235421\", \"support\": 39, \"avg_response\": -2.05776277666682}, {\"V5\": \"2.70504105264306\", \"support\": 36, \"avg_response\": -0.495757487926775}, {\"V5\": \"2.02993119987457\", \"support\": 36, \"avg_response\": -1.089984305864}, {\"V5\": \"2.90533911366884\", \"support\": 35, \"avg_response\": -3.38606713157333}, {\"V5\": \"2.38738012703753\", \"support\": 30, \"avg_response\": -2.544064912957}, {\"V5\": \"0.554091347766426\", \"support\": 28, \"avg_response\": -0.0832970050956021}, {\"V5\": \"2.13925691147085\", \"support\": 27, \"avg_response\": -1.29283240438097}, {\"V5\": \"1.71386543663058\", \"support\": 27, \"avg_response\": -1.70314738910013}, {\"V5\": \"0.984771817919677\", \"support\": 26, \"avg_response\": -1.1474165961909}, {\"V5\": \"2.19375276155309\", \"support\": 25, \"avg_response\": -1.15430596848204}, {\"V5\": \"0.479881645809919\", \"support\": 25, \"avg_response\": -1.41192659426633}, {\"V5\": \"-0.813686024523601\", \"support\": 24, \"avg_response\": 1.85700244402965}, {\"V5\": \"-0.820666341453509\", \"support\": 24, \"avg_response\": 0.944493471089686}, {\"V5\": \"1.16217269118593\", \"support\": 24, \"avg_response\": -1.5764729802572102}, {\"V5\": \"1.39041938248929\", \"support\": 23, \"avg_response\": -0.551952323858379}, {\"V5\": \"0.979840585023387\", \"support\": 23, \"avg_response\": -1.15302314309776}, {\"V5\": \"1.54326472348786\", \"support\": 21, \"avg_response\": -0.311003049729314}, {\"V5\": \"1.43318641459256\", \"support\": 21, \"avg_response\": -0.353180978426263}, {\"V5\": \"2.60956976701555\", \"support\": 21, \"avg_response\": -1.9404501081865402}, {\"V5\": \"3.05967908788535\", \"support\": 21, \"avg_response\": -3.84855215332571}, {\"V5\": \"2.38845513580892\", \"support\": 20, \"avg_response\": -2.54284268573131}, {\"V5\": \"-0.827569264653689\", \"support\": 19, \"avg_response\": 1.08436747001898}, {\"V5\": \"0.0704373792074676\", \"support\": 19, \"avg_response\": -0.06140746339052159}, {\"V5\": \"1.00997793933474\", \"support\": 19, \"avg_response\": -0.613265525662223}, {\"V5\": \"1.00201864485655\", \"support\": 19, \"avg_response\": -2.57198147036998}, {\"V5\": \"3.35398834275341\", \"support\": 19, \"avg_response\": -3.18759877794988}, {\"V5\": \"1.53866275885454\", \"support\": 18, \"avg_response\": 2.88927678247126}, {\"V5\": \"1.51170585039417\", \"support\": 18, \"avg_response\": 2.88397582172791}, {\"V5\": \"2.61043327961308\", \"support\": 18, \"avg_response\": -2.95471143760626}, {\"V5\": \"-0.934654737693392\", \"support\": 17, \"avg_response\": 1.02375758890386}, {\"V5\": \"-0.888183075550988\", \"support\": 16, \"avg_response\": 1.71480236818089}, {\"V5\": \"2.03100620864596\", \"support\": 16, \"avg_response\": -1.08876207863831}, {\"V5\": \"0.0975936476455785\", \"support\": 16, \"avg_response\": -1.44084151474614}, {\"V5\": \"0.237136835559532\", \"support\": 16, \"avg_response\": -1.49162818099244}, {\"V5\": \"1.24601023049379\", \"support\": 16, \"avg_response\": -1.92362649915904}, {\"V5\": \"1.17095423731921\", \"support\": 16, \"avg_response\": -2.3573959768048}, {\"V5\": \"1.00200878239076\", \"support\": 16, \"avg_response\": -2.57199268346379}, {\"V5\": \"3.25125744647895\", \"support\": 16, \"avg_response\": -3.62387261423161}, {\"V5\": \"-0.587187173225152\", \"support\": 15, \"avg_response\": 0.597975812818421}, {\"V5\": \"0.287800832056747\", \"support\": 15, \"avg_response\": -0.292709065195996}, {\"V5\": \"0.974909352127097\", \"support\": 15, \"avg_response\": -1.15862969000462}, {\"V5\": \"1.50649856351881\", \"support\": 15, \"avg_response\": -1.20448512852008}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 343.63}"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_06cf7c2c7a3b4e91/run_manifest.json

@@ -0,0 +1,60 @@
+{
+  "run_id": "v2_cli_20260502_081223_c",
+  "dataset_id": "n16",
+  "started_at": "2026-05-19T16:07:38.554038+00:00",
+  "ended_at": "2026-05-19T16:07:38.901156+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n16_06cf7c2c7a3b4e91",
+    "problem_id": "v2p_n16_6a7801ce8d3d9633",
+    "dataset_id": "n16",
+    "template_id": "tpl_cardinality_high_card_response_stability",
+    "template_name": "High-Cardinality Response Stability",
+    "family_id": "cardinality_structure",
+    "canonical_subitem_id": "high_cardinality_response_stability",
+    "intended_facet_id": "target_cardinality_cross_section",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": true,
+    "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=V3, key_col=V5.",
+    "bindings": {
+      "key_col": "V5",
+      "measure_col": "V3",
+      "min_support": 5
+    },
+    "binding_roles": [
+      "key_col",
+      "target_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "SELECT\n    {key_col},\n    COUNT(*) AS support,\n    AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;",
+    "notes": [
+      "default_facets=target_cardinality_cross_section",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=4",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 4,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n16/sql/v2q_n16_06cf7c2c7a3b4e91.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_06cf7c2c7a3b4e91/usage_summary.json

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

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0754ecff423f0836/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Class, measure_col=V1.
+Result preview: [{"Class": "0", "percentile_measure": 2.0814451868311}, {"Class": "1", "percentile_measure": 1.20493424160812}]

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0754ecff423f0836/generated_sql.sql

@@ -0,0 +1,40 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_c
+-- sql_source_dataset_id: n16
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_concentration_consistency
+-- intended_facet_id: rare_target_concentration
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_grouped_percentile_point
+-- query_record_id: v2q_n16_0754ecff423f0836
+-- problem_id: v2p_n16_5b633e1017171759
+-- realization_mode: agent
+-- source_kind: agent
+WITH "ranked" AS (
+  SELECT
+    "Class",
+    CAST("V1" AS REAL) AS "v1_value",
+    ROW_NUMBER() OVER (
+      PARTITION BY "Class"
+      ORDER BY CAST("V1" AS REAL)
+    ) AS "rn",
+    COUNT(*) OVER (
+      PARTITION BY "Class"
+    ) AS "cnt"
+  FROM "n16"
+  WHERE "Class" IS NOT NULL
+    AND "V1" IS NOT NULL
+),
+"picked" AS (
+  SELECT
+    "Class",
+    "v1_value"
+  FROM "ranked"
+  WHERE "rn" = (("cnt" * 95 + 99) / 100)
+)
+SELECT
+  "Class",
+  "v1_value" AS "percentile_measure"
+FROM "picked"
+ORDER BY "percentile_measure" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0754ecff423f0836/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n  SELECT\n    \"Class\",\n    CAST(\"V1\" AS REAL) AS \"v1_value\",\n    ROW_NUMBER() OVER (\n      PARTITION BY \"Class\"\n      ORDER BY CAST(\"V1\" AS REAL)\n    ) AS \"rn\",\n    COUNT(*) OVER (\n      PARTITION BY \"Class\"\n    ) AS \"cnt\"\n  FROM \"n16\"\n  WHERE \"Class\" IS NOT NULL\n    AND \"V1\" IS NOT NULL\n),\n\"picked\" AS (\n  SELECT\n    \"Class\",\n    \"v1_value\"\n  FROM \"ranked\"\n  WHERE \"rn\" = ((\"cnt\" * 95 + 99) / 100)\n)\nSELECT\n  \"Class\",\n  \"v1_value\" AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n  SELECT\\n    \\\"Class\\\",\\n    CAST(\\\"V1\\\" AS REAL) AS \\\"v1_value\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY \\\"Class\\\"\\n      ORDER BY CAST(\\\"V1\\\" AS REAL)\\n    ) AS \\\"rn\\\",\\n    COUNT(*) OVER (\\n      PARTITION BY \\\"Class\\\"\\n    ) AS \\\"cnt\\\"\\n  FROM \\\"n16\\\"\\n  WHERE \\\"Class\\\" IS NOT NULL\\n    AND \\\"V1\\\" IS NOT NULL\\n),\\n\\\"picked\\\" AS (\\n  SELECT\\n    \\\"Class\\\",\\n    \\\"v1_value\\\"\\n  FROM \\\"ranked\\\"\\n  WHERE \\\"rn\\\" = ((\\\"cnt\\\" * 95 + 99) / 100)\\n)\\nSELECT\\n  \\\"Class\\\",\\n  \\\"v1_value\\\" AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"Class\", \"percentile_measure\"], \"rows\": [{\"Class\": \"0\", \"percentile_measure\": 2.0814451868311}, {\"Class\": \"1\", \"percentile_measure\": 1.20493424160812}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 922.38}"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0754ecff423f0836/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_c",
+  "dataset_id": "n16",
+  "started_at": "2026-05-19T15:58:26.645933+00:00",
+  "ended_at": "2026-05-19T15:58:43.607035+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n16_0754ecff423f0836",
+    "problem_id": "v2p_n16_5b633e1017171759",
+    "dataset_id": "n16",
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_concentration_consistency",
+    "intended_facet_id": "rare_target_concentration",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Class, measure_col=V1.",
+    "bindings": {
+      "group_col": "Class",
+      "measure_col": "V1",
+      "top_k": 16,
+      "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": 0.80862,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "notes": [
+      "default_facets=rare_target_concentration",
+      "template_selection_mode=rule",
+      "problem_index_within_template=8",
+      "sql_variant_index=2/2",
+      "binding_index=91"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 8,
+    "problem_index_within_template": 8,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n16/sql/v2q_n16_0754ecff423f0836.sql",
+  "usage_summary": {
+    "dataset_id": "n16",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n16_0754ecff423f0836",
+    "api_calls": 0,
+    "input_tokens": 17144,
+    "cached_input_tokens": 12032,
+    "output_tokens": 787,
+    "total_tokens": 17931,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 15981.27,
+    "sql_execution_elapsed_ms_total": 922.38,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0754ecff423f0836/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0754ecff423f0836/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:58:42.682896+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15981.27, "started_at": "2026-05-19T15:58:26.700355+00:00", "ended_at": "2026-05-19T15:58:42.681656+00:00", "prompt_metrics": {"chars": 15304, "bytes_utf8": 15304, "lines": 468, "estimated_tokens": null}, "response_metrics": {"chars": 858, "bytes_utf8": 858, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 17144, "cached_input_tokens": 12032, "output_tokens": 787, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n  SELECT\\n    \\\"Class\\\",\\n    CAST(\\\"V1\\\" AS REAL) AS \\\"v1_value\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY \\\"Class\\\"\\n      ORDER BY CAST(\\\"V1\\\" AS REAL)\\n    ) AS \\\"rn\\\",\\n    COUNT(*) OVER (\\n      PARTITION BY \\\"Class\\\"\\n    ) AS \\\"cnt\\\"\\n  FROM \\\"n16\\\"\\n  WHERE \\\"Class\\\" IS NOT NULL\\n    AND \\\"V1\\\" IS NOT NULL\\n),\\n\\\"picked\\\" AS (\\n  SELECT\\n    \\\"Class\\\",\\n    \\\"v1_value\\\"\\n  FROM \\\"ranked\\\"\\n  WHERE \\\"rn\\\" = ((\\\"cnt\\\" * 95 + 99) / 100)\\n)\\nSELECT\\n  \\\"Class\\\",\\n  \\\"v1_value\\\" AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 95th percentile per \\\"Class\\\" with window functions and CAST(\\\"V1\\\" AS REAL) because the schema stores numeric fields as TEXT.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0754ecff423f0836/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n16",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n16_0754ecff423f0836",
+  "api_calls": 0,
+  "input_tokens": 17144,
+  "cached_input_tokens": 12032,
+  "output_tokens": 787,
+  "total_tokens": 17931,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 15981.27,
+  "sql_execution_elapsed_ms_total": 922.38,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0754ecff423f0836/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_08817705c0b5f58c/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Class.
+Result preview: [{"Class": "1", "support": 492}, {"Class": "0", "support": 284315}]

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_08817705c0b5f58c/generated_sql.sql

@@ -0,0 +1,20 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_c
+-- sql_source_dataset_id: n16
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_tail_low_support_group_count_v2
+-- query_record_id: v2q_n16_08817705c0b5f58c
+-- problem_id: v2p_n16_9d5610049c696ed0
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+    "Class",
+    COUNT(*) AS support
+FROM "n16"
+GROUP BY "Class"
+ORDER BY support ASC, "Class"
+LIMIT 13;

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_08817705c0b5f58c/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n    \"Class\",\n    COUNT(*) AS support\nFROM \"n16\"\nGROUP BY \"Class\"\nORDER BY support ASC, \"Class\"\nLIMIT 13;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n    \\\"Class\\\",\\n    COUNT(*) AS support\\nFROM \\\"n16\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY support ASC, \\\"Class\\\"\\nLIMIT 13;\", \"columns\": [\"Class\", \"support\"], \"rows\": [{\"Class\": \"1\", \"support\": 492}, {\"Class\": \"0\", \"support\": 284315}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 153.79}"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_08817705c0b5f58c/run_manifest.json

@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_c",
+  "dataset_id": "n16",
+  "started_at": "2026-05-19T16:03:56.582031+00:00",
+  "ended_at": "2026-05-19T16:04:09.366138+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n16_08817705c0b5f58c",
+    "problem_id": "v2p_n16_9d5610049c696ed0",
+    "dataset_id": "n16",
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_mass_similarity",
+    "intended_facet_id": "tail_ranked_signal",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Class.",
+    "bindings": {
+      "group_col": "Class",
+      "top_k": 13,
+      "top_n": 6,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 0.559176,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "notes": [
+      "default_facets=tail_ranked_signal",
+      "template_selection_mode=rule",
+      "problem_index_within_template=4",
+      "sql_variant_index=1/2",
+      "binding_index=123"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 11,
+    "problem_index_within_template": 4,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n16/sql/v2q_n16_08817705c0b5f58c.sql",
+  "usage_summary": {
+    "dataset_id": "n16",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n16_08817705c0b5f58c",
+    "api_calls": 0,
+    "input_tokens": 17114,
+    "cached_input_tokens": 12032,
+    "output_tokens": 247,
+    "total_tokens": 17361,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 2,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 11568.72,
+    "sql_execution_elapsed_ms_total": 153.79,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_08817705c0b5f58c/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_08817705c0b5f58c/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:04:00.027779+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": 3388.41, "started_at": "2026-05-19T16:03:56.638499+00:00", "ended_at": "2026-05-19T16:04:00.026943+00:00", "prompt_metrics": {"chars": 15125, "bytes_utf8": 15125, "lines": 466, "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\":\"019e40fa-c59c-73e3-a3b6-52b5ac03dc91\"}\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": "2026-05-19T16:04:09.209932+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8180.31, "started_at": "2026-05-19T16:04:01.028808+00:00", "ended_at": "2026-05-19T16:04:09.209150+00:00", "prompt_metrics": {"chars": 15125, "bytes_utf8": 15125, "lines": 466, "estimated_tokens": null}, "response_metrics": {"chars": 303, "bytes_utf8": 303, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 17114, "cached_input_tokens": 12032, "output_tokens": 247, "reasoning_output_tokens": 158}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n    \\\"Class\\\",\\n    COUNT(*) AS support\\nFROM \\\"n16\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY support ASC, \\\"Class\\\"\\nLIMIT 13;\",\"notes\":\"Uses the planned Low-Support Group Count template with group_col bound to \\\"Class\\\" and top_k set to 13.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_08817705c0b5f58c/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n16",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n16_08817705c0b5f58c",
+  "api_calls": 0,
+  "input_tokens": 17114,
+  "cached_input_tokens": 12032,
+  "output_tokens": 247,
+  "total_tokens": 17361,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 2,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 11568.72,
+  "sql_execution_elapsed_ms_total": 153.79,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_08817705c0b5f58c/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_08e1ff53842a706c/final_answer.txt

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

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_08e1ff53842a706c/generated_sql.sql

@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_c
+-- sql_source_dataset_id: n16
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_m4_group_condition_rate
+-- query_record_id: v2q_n16_08e1ff53842a706c
+-- problem_id: v2p_n16_b7279801a5d62969
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "Class",
+       AVG(CASE WHEN "Class" = '1' THEN 1 ELSE 0 END) AS condition_rate
+FROM "n16"
+GROUP BY "Class"
+ORDER BY condition_rate DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_08e1ff53842a706c/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"Class\",\n       AVG(CASE WHEN \"Class\" = '1' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n16\"\nGROUP BY \"Class\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Class\\\",\\n       AVG(CASE WHEN \\\"Class\\\" = '1' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n16\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"Class\", \"condition_rate\"], \"rows\": [{\"Class\": \"1\", \"condition_rate\": 1.0}, {\"Class\": \"0\", \"condition_rate\": 0.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 147.31}"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_08e1ff53842a706c/run_manifest.json

@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_c",
+  "dataset_id": "n16",
+  "started_at": "2026-05-19T16:00:14.120832+00:00",
+  "ended_at": "2026-05-19T16:00:22.191512+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n16_08e1ff53842a706c",
+    "problem_id": "v2p_n16_b7279801a5d62969",
+    "dataset_id": "n16",
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "dependency_strength_similarity",
+    "intended_facet_id": "pairwise_conditional_dependency",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Class, condition_col=Class.",
+    "bindings": {
+      "group_col": "Class",
+      "condition_col": "Class",
+      "condition_value": "1",
+      "positive_value": "0",
+      "negative_value": "1",
+      "top_k": 18,
+      "top_n": 6,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 0.125246,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "condition_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "notes": [
+      "default_facets=pairwise_conditional_dependency",
+      "template_selection_mode=rule",
+      "problem_index_within_template=3",
+      "sql_variant_index=2/2",
+      "binding_index=98"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 9,
+    "problem_index_within_template": 3,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n16/sql/v2q_n16_08e1ff53842a706c.sql",
+  "usage_summary": {
+    "dataset_id": "n16",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n16_08e1ff53842a706c",
+    "api_calls": 0,
+    "input_tokens": 17165,
+    "cached_input_tokens": 12032,
+    "output_tokens": 254,
+    "total_tokens": 17419,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 7866.29,
+    "sql_execution_elapsed_ms_total": 147.31,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_08e1ff53842a706c/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_08e1ff53842a706c/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T16:00:22.042362+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 7866.29, "started_at": "2026-05-19T16:00:14.175274+00:00", "ended_at": "2026-05-19T16:00:22.041589+00:00", "prompt_metrics": {"chars": 15377, "bytes_utf8": 15377, "lines": 471, "estimated_tokens": null}, "response_metrics": {"chars": 394, "bytes_utf8": 394, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 17165, "cached_input_tokens": 12032, "output_tokens": 254, "reasoning_output_tokens": 152}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Class\\\",\\n       AVG(CASE WHEN \\\"Class\\\" = '1' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n16\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the provided Grouped Condition Rate template with both group_col and condition_col bound to \\\"Class\\\", using condition_value '1' and SQLite-compatible aggregation.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_08e1ff53842a706c/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n16",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n16_08e1ff53842a706c",
+  "api_calls": 0,
+  "input_tokens": 17165,
+  "cached_input_tokens": 12032,
+  "output_tokens": 254,
+  "total_tokens": 17419,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 7866.29,
+  "sql_execution_elapsed_ms_total": 147.31,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_08e1ff53842a706c/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_09cc22e51e3ce823/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=Class.
+Result preview: [{"Class": "1", "support": 492}, {"Class": "0", "support": 284315}]

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_09cc22e51e3ce823/generated_sql.sql

@@ -0,0 +1,20 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_c
+-- sql_source_dataset_id: n16
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_set_consistency
+-- intended_facet_id: low_support_extremes
+-- variant_semantic_role: rare_extreme_view
+-- template_id: tpl_tail_low_support_group_count_v2
+-- query_record_id: v2q_n16_09cc22e51e3ce823
+-- problem_id: v2p_n16_f88cf6ed0cc26cf3
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+    "Class",
+    COUNT(*) AS support
+FROM "n16"
+GROUP BY "Class"
+ORDER BY support ASC, "Class"
+LIMIT 11;

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_09cc22e51e3ce823/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n    \"Class\",\n    COUNT(*) AS support\nFROM \"n16\"\nGROUP BY \"Class\"\nORDER BY support ASC, \"Class\"\nLIMIT 11;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n    \\\"Class\\\",\\n    COUNT(*) AS support\\nFROM \\\"n16\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY support ASC, \\\"Class\\\"\\nLIMIT 11;\", \"columns\": [\"Class\", \"support\"], \"rows\": [{\"Class\": \"1\", \"support\": 492}, {\"Class\": \"0\", \"support\": 284315}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 156.38}"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_09cc22e51e3ce823/run_manifest.json

@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_c",
+  "dataset_id": "n16",
+  "started_at": "2026-05-19T16:04:48.254130+00:00",
+  "ended_at": "2026-05-19T16:04:55.758696+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n16_09cc22e51e3ce823",
+    "problem_id": "v2p_n16_f88cf6ed0cc26cf3",
+    "dataset_id": "n16",
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_set_consistency",
+    "intended_facet_id": "low_support_extremes",
+    "variant_semantic_role": "rare_extreme_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=Class.",
+    "bindings": {
+      "group_col": "Class",
+      "top_k": 11,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 0.141649,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "notes": [
+      "default_facets=low_support_extremes",
+      "template_selection_mode=rule",
+      "problem_index_within_template=7",
+      "sql_variant_index=1/2",
+      "binding_index=126"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 11,
+    "problem_index_within_template": 7,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n16/sql/v2q_n16_09cc22e51e3ce823.sql",
+  "usage_summary": {
+    "dataset_id": "n16",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n16_09cc22e51e3ce823",
+    "api_calls": 0,
+    "input_tokens": 17117,
+    "cached_input_tokens": 12032,
+    "output_tokens": 191,
+    "total_tokens": 17308,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 7290.22,
+    "sql_execution_elapsed_ms_total": 156.38,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_09cc22e51e3ce823/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_09cc22e51e3ce823/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T16:04:55.600439+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 7290.22, "started_at": "2026-05-19T16:04:48.309382+00:00", "ended_at": "2026-05-19T16:04:55.599628+00:00", "prompt_metrics": {"chars": 15125, "bytes_utf8": 15125, "lines": 466, "estimated_tokens": null}, "response_metrics": {"chars": 306, "bytes_utf8": 306, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 17117, "cached_input_tokens": 12032, "output_tokens": 191, "reasoning_output_tokens": 102}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n    \\\"Class\\\",\\n    COUNT(*) AS support\\nFROM \\\"n16\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY support ASC, \\\"Class\\\"\\nLIMIT 11;\",\"notes\":\"Applied the planned Low-Support Group Count template with group_col bound to \\\"Class\\\" and top_k set to 11.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_09cc22e51e3ce823/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n16",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n16_09cc22e51e3ce823",
+  "api_calls": 0,
+  "input_tokens": 17117,
+  "cached_input_tokens": 12032,
+  "output_tokens": 191,
+  "total_tokens": 17308,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 7290.22,
+  "sql_execution_elapsed_ms_total": 156.38,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_09cc22e51e3ce823/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n16/artifacts/v2q_n16_0b730db30452939e/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=Class, measure_col=V24.
+Result preview: [{"Class": "0", "avg_measure": 0.00018192536544853248}, {"Class": "1", "avg_measure": -0.1051303054394829}]