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Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_092c8cc71865a09c/cli/conversation.jsonl

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+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10712, "bytes_utf8": 10716, "lines": 267, "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": 764, "bytes_utf8": 764, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15057, "cached_input_tokens": 13696, "output_tokens": 1915, "reasoning_output_tokens": 1712}}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_092c8cc71865a09c/cli/session_summary.json

@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "c18",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c18_092c8cc71865a09c",
+    "api_calls": 0,
+    "input_tokens": 15057,
+    "cached_input_tokens": 13696,
+    "output_tokens": 1915,
+    "total_tokens": 16972,
+    "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": 35605.3,
+    "sql_execution_elapsed_ms_total": 89.07,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_092c8cc71865a09c/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_092c8cc71865a09c/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:43:25.659420+00:00",
+  "ended_at": "2026-05-19T15:44:01.264749+00:00",
+  "elapsed_ms": 35605.3,
+  "prompt_metrics": {
+    "chars": 10712,
+    "bytes_utf8": 10716,
+    "lines": 267,
+    "estimated_tokens": null
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+  "stdout_metrics": {
+    "chars": 1470,
+    "bytes_utf8": 1470,
+    "lines": 5,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 764,
+      "bytes_utf8": 764,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
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+      "cached_input_tokens": 13696,
+      "output_tokens": 1915,
+      "reasoning_output_tokens": 1712
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_092c8cc71865a09c/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,267 @@
+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: c18
+- dataset_name: Wine Reviews
+- table_name: c18
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 13 feature columns and target `country`.
+- task_type: classification
+- target_column: country
+- main_row_count: 129971
+- important_fields:
+- row_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for row id.
+- country: role=target, type=categorical_target. tags=['condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for country.
+- description: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for description.
+- designation: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for designation.
+- points: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for points.
+- price: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for price.
+- province: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for province.
+- region_1: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for region 1.
+- region_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for region 2.
+- taster_name: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster name.
+- taster_twitter_handle: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster twitter handle.
+- title: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for title.
+- variety: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for variety.
+- winery: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for winery.
+- useful_field_combinations: [['points', 'price', 'country'], ['points', 'points', 'country']]
+- fields_requiring_caution: ['country', 'description', 'designation', 'price']
+- source_url: https://www.kaggle.com/datasets/zynicide/wine-reviews
+
+SQLite schema snapshot:
+{
+  "table_name": "c18",
+  "quoted_table_name": "\"c18\"",
+  "row_count": 129971,
+  "columns": [
+    {
+      "name": "row_id",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "description",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "designation",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "points",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "price",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "province",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "region_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "region_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "taster_name",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "taster_twitter_handle",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "title",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "variety",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "winery",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "row_id": "0",
+      "country": "Italy",
+      "description": "Aromas include tropical fruit, broom, brimstone and dried herb. The palate isn't overly expressive, offering unripened apple, citrus and dried sage alongside brisk acidity.",
+      "designation": "Vulkà Bianco",
+      "points": "87",
+      "price": "",
+      "province": "Sicily & Sardinia",
+      "region_1": "Etna",
+      "region_2": "",
+      "taster_name": "Kerin O’Keefe",
+      "taster_twitter_handle": "@kerinokeefe",
+      "title": "Nicosia 2013 Vulkà Bianco  (Etna)",
+      "variety": "White Blend",
+      "winery": "Nicosia"
+    },
+    {
+      "row_id": "1",
+      "country": "Portugal",
+      "description": "This is ripe and fruity, a wine that is smooth while still structured. Firm tannins are filled out with juicy red berry fruits and freshened with acidity. It's  already drinkable, although it will certainly be better from 2016.",
+      "designation": "Avidagos",
+      "points": "87",
+      "price": "15.0",
+      "province": "Douro",
+      "region_1": "",
+      "region_2": "",
+      "taster_name": "Roger Voss",
+      "taster_twitter_handle": "@vossroger",
+      "title": "Quinta dos Avidagos 2011 Avidagos Red (Douro)",
+      "variety": "Portuguese Red",
+      "winery": "Quinta dos Avidagos"
+    },
+    {
+      "row_id": "2",
+      "country": "US",
+      "description": "Tart and snappy, the flavors of lime flesh and rind dominate. Some green pineapple pokes through, with crisp acidity underscoring the flavors. The wine was all stainless-steel fermented.",
+      "designation": "",
+      "points": "87",
+      "price": "14.0",
+      "province": "Oregon",
+      "region_1": "Willamette Valley",
+      "region_2": "Willamette Valley",
+      "taster_name": "Paul Gregutt",
+      "taster_twitter_handle": "@paulgwine",
+      "title": "Rainstorm 2013 Pinot Gris (Willamette Valley)",
+      "variety": "Pinot Gris",
+      "winery": "Rainstorm"
+    },
+    {
+      "row_id": "3",
+      "country": "US",
+      "description": "Pineapple rind, lemon pith and orange blossom start off the aromas. The palate is a bit more opulent, with notes of honey-drizzled guava and mango giving way to a slightly astringent, semidry finish.",
+      "designation": "Reserve Late Harvest",
+      "points": "87",
+      "price": "13.0",
+      "province": "Michigan",
+      "region_1": "Lake Michigan Shore",
+      "region_2": "",
+      "taster_name": "Alexander Peartree",
+      "taster_twitter_handle": "",
+      "title": "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)",
+      "variety": "Riesling",
+      "winery": "St. Julian"
+    },
+    {
+      "row_id": "4",
+      "country": "US",
+      "description": "Much like the regular bottling from 2012, this comes across as rather rough and tannic, with rustic, earthy, herbal characteristics. Nonetheless, if you think of it as a pleasantly unfussy country wine, it's a good companion to a hearty winter stew.",
+      "designation": "Vintner's Reserve Wild Child Block",
+      "points": "87",
+      "price": "65.0",
+      "province": "Oregon",
+      "region_1": "Willamette Valley",
+      "region_2": "Willamette Valley",
+      "taster_name": "Paul Gregutt",
+      "taster_twitter_handle": "@paulgwine",
+      "title": "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)",
+      "variety": "Pinot Noir",
+      "winery": "Sweet Cheeks"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_ratio_two_conditions",
+    "template_name": "Grouped Ratio of Two Conditions",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c18",
+  "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=region_2, condition_col=country.",
+  "planned_template_id": "tpl_m4_group_ratio_two_conditions",
+  "bindings": {
+    "group_col": "region_2",
+    "condition_col": "country",
+    "condition_value": "US",
+    "positive_value": "US",
+    "negative_value": "Portugal",
+    "top_k": 12,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 56702.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_092c8cc71865a09c/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,5 @@
+{"type":"thread.started","thread_id":"019e40e7-fcf9-7c42-a5ae-44ed0d4fb950"}
+{"type":"turn.started"}
+{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1985327, Requested 15692. Please try again in 30ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n    SELECT\\n        \\\"region_2\\\",\\n        SUM(CASE WHEN \\\"country\\\" = 'US' THEN 1 ELSE 0 END) AS numerator_count,\\n        SUM(CASE WHEN \\\"country\\\" = 'Portugal' THEN 1 ELSE 0 END) AS denominator_count\\n    FROM \\\"c18\\\"\\n    GROUP BY \\\"region_2\\\"\\n)\\nSELECT\\n    \\\"region_2\\\",\\n    CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC\\nLIMIT 12;\",\"notes\":\"Instantiates the planned grouped-ratio template with group_col=\\\"region_2\\\" and condition_col=\\\"country\\\", measuring the US-to-Portugal count ratio per region_2. NULLIF preserves SQLite compatibility by returning NULL when a group has zero Portugal rows.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":15057,"cached_input_tokens":13696,"output_tokens":1915,"reasoning_output_tokens":1712}}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_092c8cc71865a09c/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n    SELECT\n        \"region_2\",\n        SUM(CASE WHEN \"country\" = 'US' THEN 1 ELSE 0 END) AS numerator_count,\n        SUM(CASE WHEN \"country\" = 'Portugal' THEN 1 ELSE 0 END) AS denominator_count\n    FROM \"c18\"\n    GROUP BY \"region_2\"\n)\nSELECT\n    \"region_2\",\n    CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC\nLIMIT 12;","notes":"Instantiates the planned grouped-ratio template with group_col=\"region_2\" and condition_col=\"country\", measuring the US-to-Portugal count ratio per region_2. NULLIF preserves SQLite compatibility by returning NULL when a group has zero Portugal rows."}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9805, "bytes_utf8": 9809, "lines": 262, "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": 327, "bytes_utf8": 327, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14822, "cached_input_tokens": 13696, "output_tokens": 532, "reasoning_output_tokens": 443}}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/cli/session_summary.json

@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "c18",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c18_09343ebf8928b7de",
+    "api_calls": 0,
+    "input_tokens": 14822,
+    "cached_input_tokens": 13696,
+    "output_tokens": 532,
+    "total_tokens": 15354,
+    "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": 12041.21,
+    "sql_execution_elapsed_ms_total": 67.43,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:33:47.839422+00:00",
+  "ended_at": "2026-05-19T15:33:59.880669+00:00",
+  "elapsed_ms": 12041.21,
+  "prompt_metrics": {
+    "chars": 9805,
+    "bytes_utf8": 9809,
+    "lines": 262,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 681,
+    "bytes_utf8": 681,
+    "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": 327,
+      "bytes_utf8": 327,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14822,
+      "cached_input_tokens": 13696,
+      "output_tokens": 532,
+      "reasoning_output_tokens": 443
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,262 @@
+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: c18
+- dataset_name: Wine Reviews
+- table_name: c18
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 13 feature columns and target `country`.
+- task_type: classification
+- target_column: country
+- main_row_count: 129971
+- important_fields:
+- row_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for row id.
+- country: role=target, type=categorical_target. tags=['condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for country.
+- description: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for description.
+- designation: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for designation.
+- points: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for points.
+- price: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for price.
+- province: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for province.
+- region_1: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for region 1.
+- region_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for region 2.
+- taster_name: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster name.
+- taster_twitter_handle: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster twitter handle.
+- title: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for title.
+- variety: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for variety.
+- winery: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for winery.
+- useful_field_combinations: [['points', 'price', 'country'], ['points', 'points', 'country']]
+- fields_requiring_caution: ['country', 'description', 'designation', 'price']
+- source_url: https://www.kaggle.com/datasets/zynicide/wine-reviews
+
+SQLite schema snapshot:
+{
+  "table_name": "c18",
+  "quoted_table_name": "\"c18\"",
+  "row_count": 129971,
+  "columns": [
+    {
+      "name": "row_id",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "description",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "designation",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "points",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "price",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "province",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "region_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "region_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "taster_name",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "taster_twitter_handle",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "title",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "variety",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "winery",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "row_id": "0",
+      "country": "Italy",
+      "description": "Aromas include tropical fruit, broom, brimstone and dried herb. The palate isn't overly expressive, offering unripened apple, citrus and dried sage alongside brisk acidity.",
+      "designation": "Vulkà Bianco",
+      "points": "87",
+      "price": "",
+      "province": "Sicily & Sardinia",
+      "region_1": "Etna",
+      "region_2": "",
+      "taster_name": "Kerin O’Keefe",
+      "taster_twitter_handle": "@kerinokeefe",
+      "title": "Nicosia 2013 Vulkà Bianco  (Etna)",
+      "variety": "White Blend",
+      "winery": "Nicosia"
+    },
+    {
+      "row_id": "1",
+      "country": "Portugal",
+      "description": "This is ripe and fruity, a wine that is smooth while still structured. Firm tannins are filled out with juicy red berry fruits and freshened with acidity. It's  already drinkable, although it will certainly be better from 2016.",
+      "designation": "Avidagos",
+      "points": "87",
+      "price": "15.0",
+      "province": "Douro",
+      "region_1": "",
+      "region_2": "",
+      "taster_name": "Roger Voss",
+      "taster_twitter_handle": "@vossroger",
+      "title": "Quinta dos Avidagos 2011 Avidagos Red (Douro)",
+      "variety": "Portuguese Red",
+      "winery": "Quinta dos Avidagos"
+    },
+    {
+      "row_id": "2",
+      "country": "US",
+      "description": "Tart and snappy, the flavors of lime flesh and rind dominate. Some green pineapple pokes through, with crisp acidity underscoring the flavors. The wine was all stainless-steel fermented.",
+      "designation": "",
+      "points": "87",
+      "price": "14.0",
+      "province": "Oregon",
+      "region_1": "Willamette Valley",
+      "region_2": "Willamette Valley",
+      "taster_name": "Paul Gregutt",
+      "taster_twitter_handle": "@paulgwine",
+      "title": "Rainstorm 2013 Pinot Gris (Willamette Valley)",
+      "variety": "Pinot Gris",
+      "winery": "Rainstorm"
+    },
+    {
+      "row_id": "3",
+      "country": "US",
+      "description": "Pineapple rind, lemon pith and orange blossom start off the aromas. The palate is a bit more opulent, with notes of honey-drizzled guava and mango giving way to a slightly astringent, semidry finish.",
+      "designation": "Reserve Late Harvest",
+      "points": "87",
+      "price": "13.0",
+      "province": "Michigan",
+      "region_1": "Lake Michigan Shore",
+      "region_2": "",
+      "taster_name": "Alexander Peartree",
+      "taster_twitter_handle": "",
+      "title": "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)",
+      "variety": "Riesling",
+      "winery": "St. Julian"
+    },
+    {
+      "row_id": "4",
+      "country": "US",
+      "description": "Much like the regular bottling from 2012, this comes across as rather rough and tannic, with rustic, earthy, herbal characteristics. Nonetheless, if you think of it as a pleasantly unfussy country wine, it's a good companion to a hearty winter stew.",
+      "designation": "Vintner's Reserve Wild Child Block",
+      "points": "87",
+      "price": "65.0",
+      "province": "Oregon",
+      "region_1": "Willamette Valley",
+      "region_2": "Willamette Valley",
+      "taster_name": "Paul Gregutt",
+      "taster_twitter_handle": "@paulgwine",
+      "title": "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)",
+      "variety": "Pinot Noir",
+      "winery": "Sweet Cheeks"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_clickbench_group_count",
+    "template_name": "Grouped Count by Category",
+    "primary_family": "subgroup_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c18",
+  "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=region_2.",
+  "planned_template_id": "tpl_clickbench_group_count",
+  "bindings": {
+    "group_col": "region_2",
+    "top_k": 12,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 25.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40df-2bca-74f2-baa2-753f4d913c5c"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"region_2\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c18\\\"\\nGROUP BY \\\"region_2\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Grouped count distribution over \\\"region_2\\\" using the planned template, with no filters so all values, including empty or NULL entries, are counted.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14822,"cached_input_tokens":13696,"output_tokens":532,"reasoning_output_tokens":443}}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"region_2\", COUNT(*) AS \"row_count\"\nFROM \"c18\"\nGROUP BY \"region_2\"\nORDER BY \"row_count\" DESC;","notes":"Grouped count distribution over \"region_2\" using the planned template, with no filters so all values, including empty or NULL entries, are counted."}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_124c52fc49fe8c54/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10318, "bytes_utf8": 10322, "lines": 266, "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": 1159, "bytes_utf8": 1159, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14967, "cached_input_tokens": 12032, "output_tokens": 1652, "reasoning_output_tokens": 1297}}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_124c52fc49fe8c54/cli/session_summary.json

@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "c18",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c18_124c52fc49fe8c54",
+    "api_calls": 0,
+    "input_tokens": 14967,
+    "cached_input_tokens": 12032,
+    "output_tokens": 1652,
+    "total_tokens": 16619,
+    "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": 27236.98,
+    "sql_execution_elapsed_ms_total": 508.89,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_124c52fc49fe8c54/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_124c52fc49fe8c54/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:38:18.139904+00:00",
+  "ended_at": "2026-05-19T15:38:45.376922+00:00",
+  "elapsed_ms": 27236.98,
+  "prompt_metrics": {
+    "chars": 10318,
+    "bytes_utf8": 10322,
+    "lines": 266,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1595,
+    "bytes_utf8": 1595,
+    "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": 1159,
+      "bytes_utf8": 1159,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14967,
+      "cached_input_tokens": 12032,
+      "output_tokens": 1652,
+      "reasoning_output_tokens": 1297
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_124c52fc49fe8c54/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,266 @@
+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: c18
+- dataset_name: Wine Reviews
+- table_name: c18
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 13 feature columns and target `country`.
+- task_type: classification
+- target_column: country
+- main_row_count: 129971
+- important_fields:
+- row_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for row id.
+- country: role=target, type=categorical_target. tags=['condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for country.
+- description: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for description.
+- designation: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for designation.
+- points: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for points.
+- price: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for price.
+- province: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for province.
+- region_1: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for region 1.
+- region_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for region 2.
+- taster_name: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster name.
+- taster_twitter_handle: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster twitter handle.
+- title: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for title.
+- variety: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for variety.
+- winery: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for winery.
+- useful_field_combinations: [['points', 'price', 'country'], ['points', 'points', 'country']]
+- fields_requiring_caution: ['country', 'description', 'designation', 'price']
+- source_url: https://www.kaggle.com/datasets/zynicide/wine-reviews
+
+SQLite schema snapshot:
+{
+  "table_name": "c18",
+  "quoted_table_name": "\"c18\"",
+  "row_count": 129971,
+  "columns": [
+    {
+      "name": "row_id",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "description",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "designation",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "points",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "price",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "province",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "region_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "region_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "taster_name",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "taster_twitter_handle",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "title",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "variety",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "winery",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "row_id": "0",
+      "country": "Italy",
+      "description": "Aromas include tropical fruit, broom, brimstone and dried herb. The palate isn't overly expressive, offering unripened apple, citrus and dried sage alongside brisk acidity.",
+      "designation": "Vulkà Bianco",
+      "points": "87",
+      "price": "",
+      "province": "Sicily & Sardinia",
+      "region_1": "Etna",
+      "region_2": "",
+      "taster_name": "Kerin O’Keefe",
+      "taster_twitter_handle": "@kerinokeefe",
+      "title": "Nicosia 2013 Vulkà Bianco  (Etna)",
+      "variety": "White Blend",
+      "winery": "Nicosia"
+    },
+    {
+      "row_id": "1",
+      "country": "Portugal",
+      "description": "This is ripe and fruity, a wine that is smooth while still structured. Firm tannins are filled out with juicy red berry fruits and freshened with acidity. It's  already drinkable, although it will certainly be better from 2016.",
+      "designation": "Avidagos",
+      "points": "87",
+      "price": "15.0",
+      "province": "Douro",
+      "region_1": "",
+      "region_2": "",
+      "taster_name": "Roger Voss",
+      "taster_twitter_handle": "@vossroger",
+      "title": "Quinta dos Avidagos 2011 Avidagos Red (Douro)",
+      "variety": "Portuguese Red",
+      "winery": "Quinta dos Avidagos"
+    },
+    {
+      "row_id": "2",
+      "country": "US",
+      "description": "Tart and snappy, the flavors of lime flesh and rind dominate. Some green pineapple pokes through, with crisp acidity underscoring the flavors. The wine was all stainless-steel fermented.",
+      "designation": "",
+      "points": "87",
+      "price": "14.0",
+      "province": "Oregon",
+      "region_1": "Willamette Valley",
+      "region_2": "Willamette Valley",
+      "taster_name": "Paul Gregutt",
+      "taster_twitter_handle": "@paulgwine",
+      "title": "Rainstorm 2013 Pinot Gris (Willamette Valley)",
+      "variety": "Pinot Gris",
+      "winery": "Rainstorm"
+    },
+    {
+      "row_id": "3",
+      "country": "US",
+      "description": "Pineapple rind, lemon pith and orange blossom start off the aromas. The palate is a bit more opulent, with notes of honey-drizzled guava and mango giving way to a slightly astringent, semidry finish.",
+      "designation": "Reserve Late Harvest",
+      "points": "87",
+      "price": "13.0",
+      "province": "Michigan",
+      "region_1": "Lake Michigan Shore",
+      "region_2": "",
+      "taster_name": "Alexander Peartree",
+      "taster_twitter_handle": "",
+      "title": "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)",
+      "variety": "Riesling",
+      "winery": "St. Julian"
+    },
+    {
+      "row_id": "4",
+      "country": "US",
+      "description": "Much like the regular bottling from 2012, this comes across as rather rough and tannic, with rustic, earthy, herbal characteristics. Nonetheless, if you think of it as a pleasantly unfussy country wine, it's a good companion to a hearty winter stew.",
+      "designation": "Vintner's Reserve Wild Child Block",
+      "points": "87",
+      "price": "65.0",
+      "province": "Oregon",
+      "region_1": "Willamette Valley",
+      "region_2": "Willamette Valley",
+      "taster_name": "Paul Gregutt",
+      "taster_twitter_handle": "@paulgwine",
+      "title": "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)",
+      "variety": "Pinot Noir",
+      "winery": "Sweet Cheeks"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "required_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c18",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=taster_twitter_handle, measure_col=price.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "taster_twitter_handle",
+    "measure_col": "price",
+    "item_col": "title",
+    "top_k": 14,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 25.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_124c52fc49fe8c54/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e3-4ba5-7f92-b91b-6cadc999de63"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"taster_twitter_handle\\\",\\n  \\\"title\\\",\\n  SUM(CAST(\\\"price\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"price\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"price\\\" AS REAL))) OVER (PARTITION BY \\\"taster_twitter_handle\\\") AS share_within_group\\nFROM \\\"c18\\\"\\nWHERE TRIM(COALESCE(\\\"price\\\", '')) <> ''\\n  AND TRIM(COALESCE(\\\"taster_twitter_handle\\\", '')) <> ''\\n  AND TRIM(COALESCE(\\\"title\\\", '')) <> ''\\n  AND \\\"taster_twitter_handle\\\" IN (\\n    SELECT \\\"taster_twitter_handle\\\"\\n    FROM \\\"c18\\\"\\n    WHERE TRIM(COALESCE(\\\"price\\\", '')) <> ''\\n      AND TRIM(COALESCE(\\\"taster_twitter_handle\\\", '')) <> ''\\n    GROUP BY \\\"taster_twitter_handle\\\"\\n    HAVING COUNT(*) >= 5\\n  )\\nGROUP BY \\\"taster_twitter_handle\\\", \\\"title\\\"\\nORDER BY share_within_group DESC\\nLIMIT 14;\",\"notes\":\"Uses the required template roles with group_col=\\\"taster_twitter_handle\\\", item_col=\\\"title\\\", and measure_col=\\\"price\\\". Because \\\"price\\\" is stored as TEXT, it is cast to REAL; blank price/group/item values are filtered out, min_group_size=5 is enforced at the taster handle level, and top_k=14 is applied with LIMIT 14.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14967,"cached_input_tokens":12032,"output_tokens":1652,"reasoning_output_tokens":1297}}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_124c52fc49fe8c54/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n  \"taster_twitter_handle\",\n  \"title\",\n  SUM(CAST(\"price\" AS REAL)) AS total_measure,\n  SUM(CAST(\"price\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"price\" AS REAL))) OVER (PARTITION BY \"taster_twitter_handle\") AS share_within_group\nFROM \"c18\"\nWHERE TRIM(COALESCE(\"price\", '')) <> ''\n  AND TRIM(COALESCE(\"taster_twitter_handle\", '')) <> ''\n  AND TRIM(COALESCE(\"title\", '')) <> ''\n  AND \"taster_twitter_handle\" IN (\n    SELECT \"taster_twitter_handle\"\n    FROM \"c18\"\n    WHERE TRIM(COALESCE(\"price\", '')) <> ''\n      AND TRIM(COALESCE(\"taster_twitter_handle\", '')) <> ''\n    GROUP BY \"taster_twitter_handle\"\n    HAVING COUNT(*) >= 5\n  )\nGROUP BY \"taster_twitter_handle\", \"title\"\nORDER BY share_within_group DESC\nLIMIT 14;","notes":"Uses the required template roles with group_col=\"taster_twitter_handle\", item_col=\"title\", and measure_col=\"price\". Because \"price\" is stored as TEXT, it is cast to REAL; blank price/group/item values are filtered out, min_group_size=5 is enforced at the taster handle level, and top_k=14 is applied with LIMIT 14."}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10332, "bytes_utf8": 10336, "lines": 266, "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": 709, "bytes_utf8": 709, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14969, "cached_input_tokens": 12032, "output_tokens": 702, "reasoning_output_tokens": 516}}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/cli/session_summary.json

@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "c18",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c18_199e33f2bf505854",
+    "api_calls": 0,
+    "input_tokens": 14969,
+    "cached_input_tokens": 12032,
+    "output_tokens": 702,
+    "total_tokens": 15671,
+    "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": 14102.9,
+    "sql_execution_elapsed_ms_total": 330.32,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:34:52.691296+00:00",
+  "ended_at": "2026-05-19T15:35:06.794238+00:00",
+  "elapsed_ms": 14102.9,
+  "prompt_metrics": {
+    "chars": 10332,
+    "bytes_utf8": 10336,
+    "lines": 266,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1094,
+    "bytes_utf8": 1094,
+    "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": 709,
+      "bytes_utf8": 709,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14969,
+      "cached_input_tokens": 12032,
+      "output_tokens": 702,
+      "reasoning_output_tokens": 516
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,266 @@
+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: c18
+- dataset_name: Wine Reviews
+- table_name: c18
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 13 feature columns and target `country`.
+- task_type: classification
+- target_column: country
+- main_row_count: 129971
+- important_fields:
+- row_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for row id.
+- country: role=target, type=categorical_target. tags=['condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for country.
+- description: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for description.
+- designation: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for designation.
+- points: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for points.
+- price: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for price.
+- province: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for province.
+- region_1: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for region 1.
+- region_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for region 2.
+- taster_name: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster name.
+- taster_twitter_handle: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster twitter handle.
+- title: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for title.
+- variety: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for variety.
+- winery: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for winery.
+- useful_field_combinations: [['points', 'price', 'country'], ['points', 'points', 'country']]
+- fields_requiring_caution: ['country', 'description', 'designation', 'price']
+- source_url: https://www.kaggle.com/datasets/zynicide/wine-reviews
+
+SQLite schema snapshot:
+{
+  "table_name": "c18",
+  "quoted_table_name": "\"c18\"",
+  "row_count": 129971,
+  "columns": [
+    {
+      "name": "row_id",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "description",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "designation",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "points",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "price",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "province",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "region_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "region_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "taster_name",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "taster_twitter_handle",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "title",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "variety",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "winery",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "row_id": "0",
+      "country": "Italy",
+      "description": "Aromas include tropical fruit, broom, brimstone and dried herb. The palate isn't overly expressive, offering unripened apple, citrus and dried sage alongside brisk acidity.",
+      "designation": "Vulkà Bianco",
+      "points": "87",
+      "price": "",
+      "province": "Sicily & Sardinia",
+      "region_1": "Etna",
+      "region_2": "",
+      "taster_name": "Kerin O’Keefe",
+      "taster_twitter_handle": "@kerinokeefe",
+      "title": "Nicosia 2013 Vulkà Bianco  (Etna)",
+      "variety": "White Blend",
+      "winery": "Nicosia"
+    },
+    {
+      "row_id": "1",
+      "country": "Portugal",
+      "description": "This is ripe and fruity, a wine that is smooth while still structured. Firm tannins are filled out with juicy red berry fruits and freshened with acidity. It's  already drinkable, although it will certainly be better from 2016.",
+      "designation": "Avidagos",
+      "points": "87",
+      "price": "15.0",
+      "province": "Douro",
+      "region_1": "",
+      "region_2": "",
+      "taster_name": "Roger Voss",
+      "taster_twitter_handle": "@vossroger",
+      "title": "Quinta dos Avidagos 2011 Avidagos Red (Douro)",
+      "variety": "Portuguese Red",
+      "winery": "Quinta dos Avidagos"
+    },
+    {
+      "row_id": "2",
+      "country": "US",
+      "description": "Tart and snappy, the flavors of lime flesh and rind dominate. Some green pineapple pokes through, with crisp acidity underscoring the flavors. The wine was all stainless-steel fermented.",
+      "designation": "",
+      "points": "87",
+      "price": "14.0",
+      "province": "Oregon",
+      "region_1": "Willamette Valley",
+      "region_2": "Willamette Valley",
+      "taster_name": "Paul Gregutt",
+      "taster_twitter_handle": "@paulgwine",
+      "title": "Rainstorm 2013 Pinot Gris (Willamette Valley)",
+      "variety": "Pinot Gris",
+      "winery": "Rainstorm"
+    },
+    {
+      "row_id": "3",
+      "country": "US",
+      "description": "Pineapple rind, lemon pith and orange blossom start off the aromas. The palate is a bit more opulent, with notes of honey-drizzled guava and mango giving way to a slightly astringent, semidry finish.",
+      "designation": "Reserve Late Harvest",
+      "points": "87",
+      "price": "13.0",
+      "province": "Michigan",
+      "region_1": "Lake Michigan Shore",
+      "region_2": "",
+      "taster_name": "Alexander Peartree",
+      "taster_twitter_handle": "",
+      "title": "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)",
+      "variety": "Riesling",
+      "winery": "St. Julian"
+    },
+    {
+      "row_id": "4",
+      "country": "US",
+      "description": "Much like the regular bottling from 2012, this comes across as rather rough and tannic, with rustic, earthy, herbal characteristics. Nonetheless, if you think of it as a pleasantly unfussy country wine, it's a good companion to a hearty winter stew.",
+      "designation": "Vintner's Reserve Wild Child Block",
+      "points": "87",
+      "price": "65.0",
+      "province": "Oregon",
+      "region_1": "Willamette Valley",
+      "region_2": "Willamette Valley",
+      "taster_name": "Paul Gregutt",
+      "taster_twitter_handle": "@paulgwine",
+      "title": "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)",
+      "variety": "Pinot Noir",
+      "winery": "Sweet Cheeks"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "required_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c18",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=taster_twitter_handle, measure_col=row_id.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "taster_twitter_handle",
+    "measure_col": "row_id",
+    "item_col": "designation",
+    "top_k": 19,
+    "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": 51170.96,
+    "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}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e0-2926-7e10-9bdf-a1b764d52531"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"taster_twitter_handle\\\", \\\"designation\\\",\\n       SUM(CAST(NULLIF(\\\"row_id\\\", '') AS INTEGER)) AS total_measure,\\n       SUM(CAST(NULLIF(\\\"row_id\\\", '') AS INTEGER)) * 100.0\\n         / SUM(SUM(CAST(NULLIF(\\\"row_id\\\", '') AS INTEGER))) OVER (PARTITION BY \\\"taster_twitter_handle\\\") AS share_within_group\\nFROM \\\"c18\\\"\\nGROUP BY \\\"taster_twitter_handle\\\", \\\"designation\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the required template with group_col=\\\"taster_twitter_handle\\\", item_col=\\\"designation\\\", and measure_col=\\\"row_id\\\". Cast \\\"row_id\\\" from TEXT to INTEGER for SQLite-compatible aggregation and treated empty strings as NULL.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14969,"cached_input_tokens":12032,"output_tokens":702,"reasoning_output_tokens":516}}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"taster_twitter_handle\", \"designation\",\n       SUM(CAST(NULLIF(\"row_id\", '') AS INTEGER)) AS total_measure,\n       SUM(CAST(NULLIF(\"row_id\", '') AS INTEGER)) * 100.0\n         / SUM(SUM(CAST(NULLIF(\"row_id\", '') AS INTEGER))) OVER (PARTITION BY \"taster_twitter_handle\") AS share_within_group\nFROM \"c18\"\nGROUP BY \"taster_twitter_handle\", \"designation\"\nORDER BY share_within_group DESC;","notes":"Used the required template with group_col=\"taster_twitter_handle\", item_col=\"designation\", and measure_col=\"row_id\". Cast \"row_id\" from TEXT to INTEGER for SQLite-compatible aggregation and treated empty strings as NULL."}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10070, "bytes_utf8": 10074, "lines": 264, "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": 1837, "bytes_utf8": 1837, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14883, "cached_input_tokens": 12032, "output_tokens": 1659, "reasoning_output_tokens": 1034}}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/cli/session_summary.json

@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "c18",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c18_1f610802f615ad79",
+    "api_calls": 0,
+    "input_tokens": 14883,
+    "cached_input_tokens": 12032,
+    "output_tokens": 1659,
+    "total_tokens": 16542,
+    "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": 24889.45,
+    "sql_execution_elapsed_ms_total": 460.38,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:57:35.974768+00:00",
+  "ended_at": "2026-05-19T15:58:00.864246+00:00",
+  "elapsed_ms": 24889.45,
+  "prompt_metrics": {
+    "chars": 10070,
+    "bytes_utf8": 10074,
+    "lines": 264,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 2463,
+    "bytes_utf8": 2463,
+    "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": 1837,
+      "bytes_utf8": 1837,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14883,
+      "cached_input_tokens": 12032,
+      "output_tokens": 1659,
+      "reasoning_output_tokens": 1034
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,264 @@
+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: c18
+- dataset_name: Wine Reviews
+- table_name: c18
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 13 feature columns and target `country`.
+- task_type: classification
+- target_column: country
+- main_row_count: 129971
+- important_fields:
+- row_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for row id.
+- country: role=target, type=categorical_target. tags=['condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for country.
+- description: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for description.
+- designation: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for designation.
+- points: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for points.
+- price: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for price.
+- province: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for province.
+- region_1: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for region 1.
+- region_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for region 2.
+- taster_name: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster name.
+- taster_twitter_handle: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster twitter handle.
+- title: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for title.
+- variety: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for variety.
+- winery: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for winery.
+- useful_field_combinations: [['points', 'price', 'country'], ['points', 'points', 'country']]
+- fields_requiring_caution: ['country', 'description', 'designation', 'price']
+- source_url: https://www.kaggle.com/datasets/zynicide/wine-reviews
+
+SQLite schema snapshot:
+{
+  "table_name": "c18",
+  "quoted_table_name": "\"c18\"",
+  "row_count": 129971,
+  "columns": [
+    {
+      "name": "row_id",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "description",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "designation",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "points",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "price",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "province",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "region_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "region_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "taster_name",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "taster_twitter_handle",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "title",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "variety",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "winery",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "row_id": "0",
+      "country": "Italy",
+      "description": "Aromas include tropical fruit, broom, brimstone and dried herb. The palate isn't overly expressive, offering unripened apple, citrus and dried sage alongside brisk acidity.",
+      "designation": "Vulkà Bianco",
+      "points": "87",
+      "price": "",
+      "province": "Sicily & Sardinia",
+      "region_1": "Etna",
+      "region_2": "",
+      "taster_name": "Kerin O’Keefe",
+      "taster_twitter_handle": "@kerinokeefe",
+      "title": "Nicosia 2013 Vulkà Bianco  (Etna)",
+      "variety": "White Blend",
+      "winery": "Nicosia"
+    },
+    {
+      "row_id": "1",
+      "country": "Portugal",
+      "description": "This is ripe and fruity, a wine that is smooth while still structured. Firm tannins are filled out with juicy red berry fruits and freshened with acidity. It's  already drinkable, although it will certainly be better from 2016.",
+      "designation": "Avidagos",
+      "points": "87",
+      "price": "15.0",
+      "province": "Douro",
+      "region_1": "",
+      "region_2": "",
+      "taster_name": "Roger Voss",
+      "taster_twitter_handle": "@vossroger",
+      "title": "Quinta dos Avidagos 2011 Avidagos Red (Douro)",
+      "variety": "Portuguese Red",
+      "winery": "Quinta dos Avidagos"
+    },
+    {
+      "row_id": "2",
+      "country": "US",
+      "description": "Tart and snappy, the flavors of lime flesh and rind dominate. Some green pineapple pokes through, with crisp acidity underscoring the flavors. The wine was all stainless-steel fermented.",
+      "designation": "",
+      "points": "87",
+      "price": "14.0",
+      "province": "Oregon",
+      "region_1": "Willamette Valley",
+      "region_2": "Willamette Valley",
+      "taster_name": "Paul Gregutt",
+      "taster_twitter_handle": "@paulgwine",
+      "title": "Rainstorm 2013 Pinot Gris (Willamette Valley)",
+      "variety": "Pinot Gris",
+      "winery": "Rainstorm"
+    },
+    {
+      "row_id": "3",
+      "country": "US",
+      "description": "Pineapple rind, lemon pith and orange blossom start off the aromas. The palate is a bit more opulent, with notes of honey-drizzled guava and mango giving way to a slightly astringent, semidry finish.",
+      "designation": "Reserve Late Harvest",
+      "points": "87",
+      "price": "13.0",
+      "province": "Michigan",
+      "region_1": "Lake Michigan Shore",
+      "region_2": "",
+      "taster_name": "Alexander Peartree",
+      "taster_twitter_handle": "",
+      "title": "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)",
+      "variety": "Riesling",
+      "winery": "St. Julian"
+    },
+    {
+      "row_id": "4",
+      "country": "US",
+      "description": "Much like the regular bottling from 2012, this comes across as rather rough and tannic, with rustic, earthy, herbal characteristics. Nonetheless, if you think of it as a pleasantly unfussy country wine, it's a good companion to a hearty winter stew.",
+      "designation": "Vintner's Reserve Wild Child Block",
+      "points": "87",
+      "price": "65.0",
+      "province": "Oregon",
+      "region_1": "Willamette Valley",
+      "region_2": "Willamette Valley",
+      "taster_name": "Paul Gregutt",
+      "taster_twitter_handle": "@paulgwine",
+      "title": "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)",
+      "variety": "Pinot Noir",
+      "winery": "Sweet Cheeks"
+    }
+  ]
+}
+
+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": "c18",
+  "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=points, measure_col=row_id.",
+  "planned_template_id": "tpl_grouped_percentile_point",
+  "bindings": {
+    "group_col": "points",
+    "measure_col": "row_id",
+    "top_k": 10,
+    "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": 56702.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\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_d/c18/artifacts/v2q_c18_1f610802f615ad79/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f4-f687-7851-ae68-9da560cc042c"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n  SELECT\\n    \\\"points\\\",\\n    CAST(\\\"row_id\\\" AS REAL) AS \\\"measure_value\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY \\\"points\\\"\\n      ORDER BY CAST(\\\"row_id\\\" AS REAL)\\n    ) AS \\\"rn\\\",\\n    COUNT(*) OVER (\\n      PARTITION BY \\\"points\\\"\\n    ) AS \\\"cnt\\\"\\n  FROM \\\"c18\\\"\\n  WHERE \\\"points\\\" IS NOT NULL\\n    AND \\\"points\\\" <> ''\\n    AND \\\"row_id\\\" IS NOT NULL\\n    AND \\\"row_id\\\" <> ''\\n),\\n\\\"percentile_pos\\\" AS (\\n  SELECT DISTINCT\\n    \\\"points\\\",\\n    \\\"cnt\\\",\\n    1.0 + 0.95 * (\\\"cnt\\\" - 1) AS \\\"pos\\\",\\n    CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER) AS \\\"lower_rn\\\",\\n    CASE\\n      WHEN (1.0 + 0.95 * (\\\"cnt\\\" - 1)) = CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER)\\n        THEN CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER)\\n      ELSE CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER) + 1\\n    END AS \\\"upper_rn\\\"\\n  FROM \\\"ranked\\\"\\n),\\n\\\"picked\\\" AS (\\n  SELECT\\n    p.\\\"points\\\",\\n    p.\\\"pos\\\",\\n    p.\\\"lower_rn\\\",\\n    p.\\\"upper_rn\\\",\\n    l.\\\"measure_value\\\" AS \\\"lower_value\\\",\\n    u.\\\"measure_value\\\" AS \\\"upper_value\\\"\\n  FROM \\\"percentile_pos\\\" AS p\\n  JOIN \\\"ranked\\\" AS l\\n    ON l.\\\"points\\\" = p.\\\"points\\\"\\n   AND l.\\\"rn\\\" = p.\\\"lower_rn\\\"\\n  JOIN \\\"ranked\\\" AS u\\n    ON u.\\\"points\\\" = p.\\\"points\\\"\\n   AND u.\\\"rn\\\" = p.\\\"upper_rn\\\"\\n)\\nSELECT\\n  \\\"points\\\",\\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\":\"SQLite does not support PERCENTILE_CONT, so this emulates the 0.95 continuous percentile per \\\"points\\\" with window functions and linear interpolation. \\\"row_id\\\" is cast to REAL because the schema stores it as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14883,"cached_input_tokens":12032,"output_tokens":1659,"reasoning_output_tokens":1034}}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n  SELECT\n    \"points\",\n    CAST(\"row_id\" AS REAL) AS \"measure_value\",\n    ROW_NUMBER() OVER (\n      PARTITION BY \"points\"\n      ORDER BY CAST(\"row_id\" AS REAL)\n    ) AS \"rn\",\n    COUNT(*) OVER (\n      PARTITION BY \"points\"\n    ) AS \"cnt\"\n  FROM \"c18\"\n  WHERE \"points\" IS NOT NULL\n    AND \"points\" <> ''\n    AND \"row_id\" IS NOT NULL\n    AND \"row_id\" <> ''\n),\n\"percentile_pos\" AS (\n  SELECT DISTINCT\n    \"points\",\n    \"cnt\",\n    1.0 + 0.95 * (\"cnt\" - 1) AS \"pos\",\n    CAST(1.0 + 0.95 * (\"cnt\" - 1) AS INTEGER) AS \"lower_rn\",\n    CASE\n      WHEN (1.0 + 0.95 * (\"cnt\" - 1)) = CAST(1.0 + 0.95 * (\"cnt\" - 1) AS INTEGER)\n        THEN CAST(1.0 + 0.95 * (\"cnt\" - 1) AS INTEGER)\n      ELSE CAST(1.0 + 0.95 * (\"cnt\" - 1) AS INTEGER) + 1\n    END AS \"upper_rn\"\n  FROM \"ranked\"\n),\n\"picked\" AS (\n  SELECT\n    p.\"points\",\n    p.\"pos\",\n    p.\"lower_rn\",\n    p.\"upper_rn\",\n    l.\"measure_value\" AS \"lower_value\",\n    u.\"measure_value\" AS \"upper_value\"\n  FROM \"percentile_pos\" AS p\n  JOIN \"ranked\" AS l\n    ON l.\"points\" = p.\"points\"\n   AND l.\"rn\" = p.\"lower_rn\"\n  JOIN \"ranked\" AS u\n    ON u.\"points\" = p.\"points\"\n   AND u.\"rn\" = p.\"upper_rn\"\n)\nSELECT\n  \"points\",\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":"SQLite does not support PERCENTILE_CONT, so this emulates the 0.95 continuous percentile per \"points\" with window functions and linear interpolation. \"row_id\" is cast to REAL because the schema stores it as TEXT."}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2043ae1f5db0e283/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:05:27.973656+00:00",
+  "ended_at": "2026-05-19T16:05:31.212241+00:00",
+  "elapsed_ms": 3238.55,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 9896,
+    "bytes_utf8": 9900,
+    "lines": 262,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2043ae1f5db0e283/cli/sql_attempt_2.metadata.json

@@ -0,0 +1,43 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:05:32.214158+00:00",
+  "ended_at": "2026-05-19T16:05:35.690676+00:00",
+  "elapsed_ms": 3476.48,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 9896,
+    "bytes_utf8": 9900,
+    "lines": 262,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2043ae1f5db0e283/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,262 @@
+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: c18
+- dataset_name: Wine Reviews
+- table_name: c18
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 13 feature columns and target `country`.
+- task_type: classification
+- target_column: country
+- main_row_count: 129971
+- important_fields:
+- row_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for row id.
+- country: role=target, type=categorical_target. tags=['condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for country.
+- description: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for description.
+- designation: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for designation.
+- points: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for points.
+- price: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for price.
+- province: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for province.
+- region_1: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for region 1.
+- region_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for region 2.
+- taster_name: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster name.
+- taster_twitter_handle: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster twitter handle.
+- title: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for title.
+- variety: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for variety.
+- winery: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for winery.
+- useful_field_combinations: [['points', 'price', 'country'], ['points', 'points', 'country']]
+- fields_requiring_caution: ['country', 'description', 'designation', 'price']
+- source_url: https://www.kaggle.com/datasets/zynicide/wine-reviews
+
+SQLite schema snapshot:
+{
+  "table_name": "c18",
+  "quoted_table_name": "\"c18\"",
+  "row_count": 129971,
+  "columns": [
+    {
+      "name": "row_id",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "description",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "designation",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "points",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "price",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "province",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "region_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "region_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "taster_name",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "taster_twitter_handle",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "title",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "variety",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "winery",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "row_id": "0",
+      "country": "Italy",
+      "description": "Aromas include tropical fruit, broom, brimstone and dried herb. The palate isn't overly expressive, offering unripened apple, citrus and dried sage alongside brisk acidity.",
+      "designation": "Vulkà Bianco",
+      "points": "87",
+      "price": "",
+      "province": "Sicily & Sardinia",
+      "region_1": "Etna",
+      "region_2": "",
+      "taster_name": "Kerin O’Keefe",
+      "taster_twitter_handle": "@kerinokeefe",
+      "title": "Nicosia 2013 Vulkà Bianco  (Etna)",
+      "variety": "White Blend",
+      "winery": "Nicosia"
+    },
+    {
+      "row_id": "1",
+      "country": "Portugal",
+      "description": "This is ripe and fruity, a wine that is smooth while still structured. Firm tannins are filled out with juicy red berry fruits and freshened with acidity. It's  already drinkable, although it will certainly be better from 2016.",
+      "designation": "Avidagos",
+      "points": "87",
+      "price": "15.0",
+      "province": "Douro",
+      "region_1": "",
+      "region_2": "",
+      "taster_name": "Roger Voss",
+      "taster_twitter_handle": "@vossroger",
+      "title": "Quinta dos Avidagos 2011 Avidagos Red (Douro)",
+      "variety": "Portuguese Red",
+      "winery": "Quinta dos Avidagos"
+    },
+    {
+      "row_id": "2",
+      "country": "US",
+      "description": "Tart and snappy, the flavors of lime flesh and rind dominate. Some green pineapple pokes through, with crisp acidity underscoring the flavors. The wine was all stainless-steel fermented.",
+      "designation": "",
+      "points": "87",
+      "price": "14.0",
+      "province": "Oregon",
+      "region_1": "Willamette Valley",
+      "region_2": "Willamette Valley",
+      "taster_name": "Paul Gregutt",
+      "taster_twitter_handle": "@paulgwine",
+      "title": "Rainstorm 2013 Pinot Gris (Willamette Valley)",
+      "variety": "Pinot Gris",
+      "winery": "Rainstorm"
+    },
+    {
+      "row_id": "3",
+      "country": "US",
+      "description": "Pineapple rind, lemon pith and orange blossom start off the aromas. The palate is a bit more opulent, with notes of honey-drizzled guava and mango giving way to a slightly astringent, semidry finish.",
+      "designation": "Reserve Late Harvest",
+      "points": "87",
+      "price": "13.0",
+      "province": "Michigan",
+      "region_1": "Lake Michigan Shore",
+      "region_2": "",
+      "taster_name": "Alexander Peartree",
+      "taster_twitter_handle": "",
+      "title": "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)",
+      "variety": "Riesling",
+      "winery": "St. Julian"
+    },
+    {
+      "row_id": "4",
+      "country": "US",
+      "description": "Much like the regular bottling from 2012, this comes across as rather rough and tannic, with rustic, earthy, herbal characteristics. Nonetheless, if you think of it as a pleasantly unfussy country wine, it's a good companion to a hearty winter stew.",
+      "designation": "Vintner's Reserve Wild Child Block",
+      "points": "87",
+      "price": "65.0",
+      "province": "Oregon",
+      "region_1": "Willamette Valley",
+      "region_2": "Willamette Valley",
+      "taster_name": "Paul Gregutt",
+      "taster_twitter_handle": "@paulgwine",
+      "title": "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)",
+      "variety": "Pinot Noir",
+      "winery": "Sweet Cheeks"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c18",
+  "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=taster_name.",
+  "planned_template_id": "tpl_tail_low_support_group_count_v2",
+  "bindings": {
+    "group_col": "taster_name",
+    "top_k": 18,
+    "top_n": 7,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 56702.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2043ae1f5db0e283/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,262 @@
+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: c18
+- dataset_name: Wine Reviews
+- table_name: c18
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 13 feature columns and target `country`.
+- task_type: classification
+- target_column: country
+- main_row_count: 129971
+- important_fields:
+- row_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for row id.
+- country: role=target, type=categorical_target. tags=['condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for country.
+- description: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for description.
+- designation: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for designation.
+- points: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for points.
+- price: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for price.
+- province: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for province.
+- region_1: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for region 1.
+- region_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for region 2.
+- taster_name: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster name.
+- taster_twitter_handle: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster twitter handle.
+- title: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for title.
+- variety: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for variety.
+- winery: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for winery.
+- useful_field_combinations: [['points', 'price', 'country'], ['points', 'points', 'country']]
+- fields_requiring_caution: ['country', 'description', 'designation', 'price']
+- source_url: https://www.kaggle.com/datasets/zynicide/wine-reviews
+
+SQLite schema snapshot:
+{
+  "table_name": "c18",
+  "quoted_table_name": "\"c18\"",
+  "row_count": 129971,
+  "columns": [
+    {
+      "name": "row_id",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "description",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "designation",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "points",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "price",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "province",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "region_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "region_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "taster_name",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "taster_twitter_handle",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "title",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "variety",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "winery",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "row_id": "0",
+      "country": "Italy",
+      "description": "Aromas include tropical fruit, broom, brimstone and dried herb. The palate isn't overly expressive, offering unripened apple, citrus and dried sage alongside brisk acidity.",
+      "designation": "Vulkà Bianco",
+      "points": "87",
+      "price": "",
+      "province": "Sicily & Sardinia",
+      "region_1": "Etna",
+      "region_2": "",
+      "taster_name": "Kerin O’Keefe",
+      "taster_twitter_handle": "@kerinokeefe",
+      "title": "Nicosia 2013 Vulkà Bianco  (Etna)",
+      "variety": "White Blend",
+      "winery": "Nicosia"
+    },
+    {
+      "row_id": "1",
+      "country": "Portugal",
+      "description": "This is ripe and fruity, a wine that is smooth while still structured. Firm tannins are filled out with juicy red berry fruits and freshened with acidity. It's  already drinkable, although it will certainly be better from 2016.",
+      "designation": "Avidagos",
+      "points": "87",
+      "price": "15.0",
+      "province": "Douro",
+      "region_1": "",
+      "region_2": "",
+      "taster_name": "Roger Voss",
+      "taster_twitter_handle": "@vossroger",
+      "title": "Quinta dos Avidagos 2011 Avidagos Red (Douro)",
+      "variety": "Portuguese Red",
+      "winery": "Quinta dos Avidagos"
+    },
+    {
+      "row_id": "2",
+      "country": "US",
+      "description": "Tart and snappy, the flavors of lime flesh and rind dominate. Some green pineapple pokes through, with crisp acidity underscoring the flavors. The wine was all stainless-steel fermented.",
+      "designation": "",
+      "points": "87",
+      "price": "14.0",
+      "province": "Oregon",
+      "region_1": "Willamette Valley",
+      "region_2": "Willamette Valley",
+      "taster_name": "Paul Gregutt",
+      "taster_twitter_handle": "@paulgwine",
+      "title": "Rainstorm 2013 Pinot Gris (Willamette Valley)",
+      "variety": "Pinot Gris",
+      "winery": "Rainstorm"
+    },
+    {
+      "row_id": "3",
+      "country": "US",
+      "description": "Pineapple rind, lemon pith and orange blossom start off the aromas. The palate is a bit more opulent, with notes of honey-drizzled guava and mango giving way to a slightly astringent, semidry finish.",
+      "designation": "Reserve Late Harvest",
+      "points": "87",
+      "price": "13.0",
+      "province": "Michigan",
+      "region_1": "Lake Michigan Shore",
+      "region_2": "",
+      "taster_name": "Alexander Peartree",
+      "taster_twitter_handle": "",
+      "title": "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)",
+      "variety": "Riesling",
+      "winery": "St. Julian"
+    },
+    {
+      "row_id": "4",
+      "country": "US",
+      "description": "Much like the regular bottling from 2012, this comes across as rather rough and tannic, with rustic, earthy, herbal characteristics. Nonetheless, if you think of it as a pleasantly unfussy country wine, it's a good companion to a hearty winter stew.",
+      "designation": "Vintner's Reserve Wild Child Block",
+      "points": "87",
+      "price": "65.0",
+      "province": "Oregon",
+      "region_1": "Willamette Valley",
+      "region_2": "Willamette Valley",
+      "taster_name": "Paul Gregutt",
+      "taster_twitter_handle": "@paulgwine",
+      "title": "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)",
+      "variety": "Pinot Noir",
+      "winery": "Sweet Cheeks"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c18",
+  "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=taster_name.",
+  "planned_template_id": "tpl_tail_low_support_group_count_v2",
+  "bindings": {
+    "group_col": "taster_name",
+    "top_k": 18,
+    "top_n": 7,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 56702.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2043ae1f5db0e283/cli/sql_response_attempt_1.raw.txt

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

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2043ae1f5db0e283/cli/sql_response_attempt_1.txt

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

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2043ae1f5db0e283/cli/sql_response_attempt_2.raw.txt

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

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2043ae1f5db0e283/cli/sql_response_attempt_2.txt

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+{"type":"thread.started","thread_id":"019e40fc-3ab4-75b2-9718-dbd991e275e9"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a97704c0a2c0ebc/cli/conversation.jsonl

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+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10708, "bytes_utf8": 10712, "lines": 267, "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": 818, "bytes_utf8": 818, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15056, "cached_input_tokens": 12032, "output_tokens": 1293, "reasoning_output_tokens": 1068}}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a97704c0a2c0ebc/cli/session_summary.json

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+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "c18",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c18_3a97704c0a2c0ebc",
+    "api_calls": 0,
+    "input_tokens": 15056,
+    "cached_input_tokens": 12032,
+    "output_tokens": 1293,
+    "total_tokens": 16349,
+    "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": 23432.72,
+    "sql_execution_elapsed_ms_total": 56.23,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a97704c0a2c0ebc/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a97704c0a2c0ebc/cli/sql_attempt_1.metadata.json

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+{
+  "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": "2026-05-19T15:41:45.603011+00:00",
+  "ended_at": "2026-05-19T15:42:09.035758+00:00",
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+  "prompt_metrics": {
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+    "bytes_utf8": 10712,
+    "lines": 267,
+    "estimated_tokens": null
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+  "stdout_metrics": {
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+    "bytes_utf8": 1198,
+    "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": 818,
+      "bytes_utf8": 818,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 15056,
+      "cached_input_tokens": 12032,
+      "output_tokens": 1293,
+      "reasoning_output_tokens": 1068
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a97704c0a2c0ebc/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,267 @@
+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: c18
+- dataset_name: Wine Reviews
+- table_name: c18
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 13 feature columns and target `country`.
+- task_type: classification
+- target_column: country
+- main_row_count: 129971
+- important_fields:
+- row_id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for row id.
+- country: role=target, type=categorical_target. tags=['condition_candidate', 'target_candidate', 'missingness_candidate'] desc=Target field for country.
+- description: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for description.
+- designation: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for designation.
+- points: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for points.
+- price: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for price.
+- province: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for province.
+- region_1: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for region 1.
+- region_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for region 2.
+- taster_name: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster name.
+- taster_twitter_handle: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for taster twitter handle.
+- title: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for title.
+- variety: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for variety.
+- winery: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for winery.
+- useful_field_combinations: [['points', 'price', 'country'], ['points', 'points', 'country']]
+- fields_requiring_caution: ['country', 'description', 'designation', 'price']
+- source_url: https://www.kaggle.com/datasets/zynicide/wine-reviews
+
+SQLite schema snapshot:
+{
+  "table_name": "c18",
+  "quoted_table_name": "\"c18\"",
+  "row_count": 129971,
+  "columns": [
+    {
+      "name": "row_id",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "description",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "designation",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "points",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "price",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "province",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "region_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "region_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "taster_name",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "taster_twitter_handle",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "title",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "variety",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "winery",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "row_id": "0",
+      "country": "Italy",
+      "description": "Aromas include tropical fruit, broom, brimstone and dried herb. The palate isn't overly expressive, offering unripened apple, citrus and dried sage alongside brisk acidity.",
+      "designation": "Vulkà Bianco",
+      "points": "87",
+      "price": "",
+      "province": "Sicily & Sardinia",
+      "region_1": "Etna",
+      "region_2": "",
+      "taster_name": "Kerin O’Keefe",
+      "taster_twitter_handle": "@kerinokeefe",
+      "title": "Nicosia 2013 Vulkà Bianco  (Etna)",
+      "variety": "White Blend",
+      "winery": "Nicosia"
+    },
+    {
+      "row_id": "1",
+      "country": "Portugal",
+      "description": "This is ripe and fruity, a wine that is smooth while still structured. Firm tannins are filled out with juicy red berry fruits and freshened with acidity. It's  already drinkable, although it will certainly be better from 2016.",
+      "designation": "Avidagos",
+      "points": "87",
+      "price": "15.0",
+      "province": "Douro",
+      "region_1": "",
+      "region_2": "",
+      "taster_name": "Roger Voss",
+      "taster_twitter_handle": "@vossroger",
+      "title": "Quinta dos Avidagos 2011 Avidagos Red (Douro)",
+      "variety": "Portuguese Red",
+      "winery": "Quinta dos Avidagos"
+    },
+    {
+      "row_id": "2",
+      "country": "US",
+      "description": "Tart and snappy, the flavors of lime flesh and rind dominate. Some green pineapple pokes through, with crisp acidity underscoring the flavors. The wine was all stainless-steel fermented.",
+      "designation": "",
+      "points": "87",
+      "price": "14.0",
+      "province": "Oregon",
+      "region_1": "Willamette Valley",
+      "region_2": "Willamette Valley",
+      "taster_name": "Paul Gregutt",
+      "taster_twitter_handle": "@paulgwine",
+      "title": "Rainstorm 2013 Pinot Gris (Willamette Valley)",
+      "variety": "Pinot Gris",
+      "winery": "Rainstorm"
+    },
+    {
+      "row_id": "3",
+      "country": "US",
+      "description": "Pineapple rind, lemon pith and orange blossom start off the aromas. The palate is a bit more opulent, with notes of honey-drizzled guava and mango giving way to a slightly astringent, semidry finish.",
+      "designation": "Reserve Late Harvest",
+      "points": "87",
+      "price": "13.0",
+      "province": "Michigan",
+      "region_1": "Lake Michigan Shore",
+      "region_2": "",
+      "taster_name": "Alexander Peartree",
+      "taster_twitter_handle": "",
+      "title": "St. Julian 2013 Reserve Late Harvest Riesling (Lake Michigan Shore)",
+      "variety": "Riesling",
+      "winery": "St. Julian"
+    },
+    {
+      "row_id": "4",
+      "country": "US",
+      "description": "Much like the regular bottling from 2012, this comes across as rather rough and tannic, with rustic, earthy, herbal characteristics. Nonetheless, if you think of it as a pleasantly unfussy country wine, it's a good companion to a hearty winter stew.",
+      "designation": "Vintner's Reserve Wild Child Block",
+      "points": "87",
+      "price": "65.0",
+      "province": "Oregon",
+      "region_1": "Willamette Valley",
+      "region_2": "Willamette Valley",
+      "taster_name": "Paul Gregutt",
+      "taster_twitter_handle": "@paulgwine",
+      "title": "Sweet Cheeks 2012 Vintner's Reserve Wild Child Block Pinot Noir (Willamette Valley)",
+      "variety": "Pinot Noir",
+      "winery": "Sweet Cheeks"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_ratio_two_conditions",
+    "template_name": "Grouped Ratio of Two Conditions",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c18",
+  "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=region_2, condition_col=country.",
+  "planned_template_id": "tpl_m4_group_ratio_two_conditions",
+  "bindings": {
+    "group_col": "region_2",
+    "condition_col": "country",
+    "condition_value": "US",
+    "positive_value": "US",
+    "negative_value": "Portugal",
+    "top_k": 12,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 90.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a97704c0a2c0ebc/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e6-760c-7041-a869-02ba478172bc"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n    SELECT\\n        \\\"region_2\\\",\\n        SUM(CASE WHEN \\\"country\\\" = 'US' THEN 1 ELSE 0 END) AS numerator_count,\\n        SUM(CASE WHEN \\\"country\\\" = 'Portugal' THEN 1 ELSE 0 END) AS denominator_count\\n    FROM \\\"c18\\\"\\n    WHERE \\\"region_2\\\" IS NOT NULL AND \\\"region_2\\\" <> ''\\n    GROUP BY \\\"region_2\\\"\\n)\\nSELECT\\n    \\\"region_2\\\",\\n    CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nWHERE denominator_count >= 5\\nORDER BY condition_ratio DESC\\nLIMIT 12;\",\"notes\":\"Applies the grouped ratio template with \\\"region_2\\\" as the grouping column and computes the US-to-Portugal count ratio by region_2, excluding blank groups and requiring at least 5 Portugal rows per group for stability.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":15056,"cached_input_tokens":12032,"output_tokens":1293,"reasoning_output_tokens":1068}}