Add files using upload-large-folder tool

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_4a227c4237382f93/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5965, "bytes_utf8": 5965, "lines": 180, "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": 462, "bytes_utf8": 462, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13807, "cached_input_tokens": 12032, "output_tokens": 262, "reasoning_output_tokens": 146}}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_4a227c4237382f93/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": "c20",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c20_4a227c4237382f93",
+    "api_calls": 0,
+    "input_tokens": 13807,
+    "cached_input_tokens": 12032,
+    "output_tokens": 262,
+    "total_tokens": 14069,
+    "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": 9158.94,
+    "sql_execution_elapsed_ms_total": 17.61,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_4a227c4237382f93/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_4a227c4237382f93/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": "2026-05-19T16:03:22.744514+00:00",
+  "ended_at": "2026-05-19T16:03:31.903487+00:00",
+  "elapsed_ms": 9158.94,
+  "prompt_metrics": {
+    "chars": 5965,
+    "bytes_utf8": 5965,
+    "lines": 180,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 820,
+    "bytes_utf8": 820,
+    "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": 462,
+      "bytes_utf8": 462,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13807,
+      "cached_input_tokens": 12032,
+      "output_tokens": 262,
+      "reasoning_output_tokens": 146
+    }
+  },
+  "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_e/c20/artifacts/v2q_c20_4a227c4237382f93/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,180 @@
+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: c20
+- dataset_name: C20
+- table_name: c20
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 6 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 44819
+- important_fields:
+- white_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 strength.
+- white_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 file.
+- white_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 rank.
+- black_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 strength.
+- black_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 file.
+- black_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 rank.
+- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['white_piece0_strength', 'white_piece0_file', 'class'], ['white_piece0_strength', 'white_piece0_strength', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://www.openml.org/d/41027
+
+SQLite schema snapshot:
+{
+  "table_name": "c20",
+  "quoted_table_name": "\"c20\"",
+  "row_count": 44819,
+  "columns": [
+    {
+      "name": "white_piece0_strength",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "white_piece0_file",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "white_piece0_rank",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "black_piece0_strength",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "black_piece0_file",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "black_piece0_rank",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "1",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "2",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "4",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "5",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "6",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c20",
+  "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=white_piece0_strength, measure_col=white_piece0_strength.",
+  "planned_template_id": "tpl_h2o_group_sum",
+  "bindings": {
+    "group_col": "white_piece0_strength",
+    "measure_col": "white_piece0_strength",
+    "top_k": 15,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 6.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_4a227c4237382f93/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fa-410c-7d62-b356-9e65ead0707d"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"white_piece0_strength\\\", SUM(CAST(\\\"white_piece0_strength\\\" AS INTEGER)) AS \\\"total_measure\\\"\\nFROM \\\"c20\\\"\\nGROUP BY \\\"white_piece0_strength\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the required Grouped Numeric Sum template with group_col and measure_col both bound to \\\"white_piece0_strength\\\". Applied CAST(... AS INTEGER) because the schema stores this numeric-discrete field as TEXT in SQLite.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13807,"cached_input_tokens":12032,"output_tokens":262,"reasoning_output_tokens":146}}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_4a227c4237382f93/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"white_piece0_strength\", SUM(CAST(\"white_piece0_strength\" AS INTEGER)) AS \"total_measure\"\nFROM \"c20\"\nGROUP BY \"white_piece0_strength\"\nORDER BY \"total_measure\" DESC;","notes":"Used the required Grouped Numeric Sum template with group_col and measure_col both bound to \"white_piece0_strength\". Applied CAST(... AS INTEGER) because the schema stores this numeric-discrete field as TEXT in SQLite."}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_7345cf3bca771d5b/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": "2026-05-19T16:12:28.571275+00:00",
+  "ended_at": "2026-05-19T16:12:31.982437+00:00",
+  "elapsed_ms": 3411.13,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6274,
+    "bytes_utf8": 6274,
+    "lines": 184,
+    "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_e/c20/artifacts/v2q_c20_7345cf3bca771d5b/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": "2026-05-19T16:12:32.983976+00:00",
+  "ended_at": "2026-05-19T16:12:38.734899+00:00",
+  "elapsed_ms": 5750.86,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6274,
+    "bytes_utf8": 6274,
+    "lines": 184,
+    "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_e/c20/artifacts/v2q_c20_7345cf3bca771d5b/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,184 @@
+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: c20
+- dataset_name: C20
+- table_name: c20
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 6 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 44819
+- important_fields:
+- white_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 strength.
+- white_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 file.
+- white_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 rank.
+- black_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 strength.
+- black_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 file.
+- black_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 rank.
+- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['white_piece0_strength', 'white_piece0_file', 'class'], ['white_piece0_strength', 'white_piece0_strength', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://www.openml.org/d/41027
+
+SQLite schema snapshot:
+{
+  "table_name": "c20",
+  "quoted_table_name": "\"c20\"",
+  "row_count": 44819,
+  "columns": [
+    {
+      "name": "white_piece0_strength",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "white_piece0_file",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "white_piece0_rank",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "black_piece0_strength",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "black_piece0_file",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "black_piece0_rank",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "1",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "2",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "4",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "5",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "6",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_c2_filtered_group_count_2d",
+    "template_name": "Filtered Two-Dimensional Group Count",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;",
+    "required_roles": [
+      "group_col",
+      "group_col_2",
+      "predicate_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c20",
+  "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=white_piece0_rank, group_col_2=black_piece0_strength.",
+  "planned_template_id": "tpl_c2_filtered_group_count_2d",
+  "bindings": {
+    "group_col": "white_piece0_rank",
+    "group_col_2": "black_piece0_strength",
+    "predicate_col": "black_piece0_file",
+    "predicate_op": ">=",
+    "predicate_value": 5.0,
+    "top_k": 13,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 7.0,
+    "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}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_7345cf3bca771d5b/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,184 @@
+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: c20
+- dataset_name: C20
+- table_name: c20
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 6 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 44819
+- important_fields:
+- white_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 strength.
+- white_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 file.
+- white_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 rank.
+- black_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 strength.
+- black_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 file.
+- black_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 rank.
+- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['white_piece0_strength', 'white_piece0_file', 'class'], ['white_piece0_strength', 'white_piece0_strength', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://www.openml.org/d/41027
+
+SQLite schema snapshot:
+{
+  "table_name": "c20",
+  "quoted_table_name": "\"c20\"",
+  "row_count": 44819,
+  "columns": [
+    {
+      "name": "white_piece0_strength",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "white_piece0_file",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "white_piece0_rank",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "black_piece0_strength",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "black_piece0_file",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "black_piece0_rank",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "1",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "2",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "4",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "5",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "6",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_c2_filtered_group_count_2d",
+    "template_name": "Filtered Two-Dimensional Group Count",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;",
+    "required_roles": [
+      "group_col",
+      "group_col_2",
+      "predicate_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c20",
+  "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=white_piece0_rank, group_col_2=black_piece0_strength.",
+  "planned_template_id": "tpl_c2_filtered_group_count_2d",
+  "bindings": {
+    "group_col": "white_piece0_rank",
+    "group_col_2": "black_piece0_strength",
+    "predicate_col": "black_piece0_file",
+    "predicate_op": ">=",
+    "predicate_value": 5.0,
+    "top_k": 13,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 7.0,
+    "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}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_7345cf3bca771d5b/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4102-9506-7eb3-901f-ff1c6a6283aa"}
+{"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_e/c20/artifacts/v2q_c20_7345cf3bca771d5b/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4102-9506-7eb3-901f-ff1c6a6283aa"}
+{"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_e/c20/artifacts/v2q_c20_7345cf3bca771d5b/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4102-a658-73c0-8a1e-8a3d36283a87"}
+{"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_e/c20/artifacts/v2q_c20_7345cf3bca771d5b/cli/sql_response_attempt_2.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4102-a658-73c0-8a1e-8a3d36283a87"}
+{"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_e/c20/artifacts/v2q_c20_a32145b6ca1060ee/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": "2026-05-19T16:28:22.233493+00:00",
+  "ended_at": "2026-05-19T16:28:25.186114+00:00",
+  "elapsed_ms": 2952.45,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6029,
+    "bytes_utf8": 6029,
+    "lines": 180,
+    "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_e/c20/artifacts/v2q_c20_a32145b6ca1060ee/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": "2026-05-19T16:28:26.188776+00:00",
+  "ended_at": "2026-05-19T16:28:29.569209+00:00",
+  "elapsed_ms": 3380.37,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6029,
+    "bytes_utf8": 6029,
+    "lines": 180,
+    "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_e/c20/artifacts/v2q_c20_a32145b6ca1060ee/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,180 @@
+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: c20
+- dataset_name: C20
+- table_name: c20
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 6 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 44819
+- important_fields:
+- white_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 strength.
+- white_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 file.
+- white_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 rank.
+- black_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 strength.
+- black_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 file.
+- black_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 rank.
+- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['white_piece0_strength', 'white_piece0_file', 'class'], ['white_piece0_strength', 'white_piece0_strength', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://www.openml.org/d/41027
+
+SQLite schema snapshot:
+{
+  "table_name": "c20",
+  "quoted_table_name": "\"c20\"",
+  "row_count": 44819,
+  "columns": [
+    {
+      "name": "white_piece0_strength",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "white_piece0_file",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "white_piece0_rank",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "black_piece0_strength",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "black_piece0_file",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "black_piece0_rank",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "1",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "2",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "4",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "5",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "6",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c20",
+  "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=black_piece0_file, measure_col=black_piece0_rank.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "black_piece0_file",
+    "measure_col": "black_piece0_rank",
+    "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": 7.0,
+    "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 DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_a32145b6ca1060ee/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,180 @@
+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: c20
+- dataset_name: C20
+- table_name: c20
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 6 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 44819
+- important_fields:
+- white_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 strength.
+- white_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 file.
+- white_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 rank.
+- black_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 strength.
+- black_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 file.
+- black_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 rank.
+- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['white_piece0_strength', 'white_piece0_file', 'class'], ['white_piece0_strength', 'white_piece0_strength', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://www.openml.org/d/41027
+
+SQLite schema snapshot:
+{
+  "table_name": "c20",
+  "quoted_table_name": "\"c20\"",
+  "row_count": 44819,
+  "columns": [
+    {
+      "name": "white_piece0_strength",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "white_piece0_file",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "white_piece0_rank",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "black_piece0_strength",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "black_piece0_file",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "black_piece0_rank",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "1",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "2",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "4",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "5",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "6",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c20",
+  "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=black_piece0_file, measure_col=black_piece0_rank.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "black_piece0_file",
+    "measure_col": "black_piece0_rank",
+    "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": 7.0,
+    "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 DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_a32145b6ca1060ee/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4111-22c3-7453-b71f-41e466000678"}
+{"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_e/c20/artifacts/v2q_c20_a32145b6ca1060ee/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4111-22c3-7453-b71f-41e466000678"}
+{"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_e/c20/artifacts/v2q_c20_a32145b6ca1060ee/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4111-3247-75b3-92f2-6a9e4efa8e27"}
+{"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_e/c20/artifacts/v2q_c20_a32145b6ca1060ee/cli/sql_response_attempt_2.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4111-3247-75b3-92f2-6a9e4efa8e27"}
+{"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_e/c20/artifacts/v2q_c20_a9edbf1d70a6fe07/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": "2026-05-19T16:25:49.470858+00:00",
+  "ended_at": "2026-05-19T16:25:53.012720+00:00",
+  "elapsed_ms": 3541.82,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 5921,
+    "bytes_utf8": 5921,
+    "lines": 178,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_a9edbf1d70a6fe07/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,178 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: c20
+- dataset_name: C20
+- table_name: c20
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 6 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 44819
+- important_fields:
+- white_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 strength.
+- white_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 file.
+- white_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 rank.
+- black_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 strength.
+- black_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 file.
+- black_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 rank.
+- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['white_piece0_strength', 'white_piece0_file', 'class'], ['white_piece0_strength', 'white_piece0_strength', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://www.openml.org/d/41027
+
+SQLite schema snapshot:
+{
+  "table_name": "c20",
+  "quoted_table_name": "\"c20\"",
+  "row_count": 44819,
+  "columns": [
+    {
+      "name": "white_piece0_strength",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "white_piece0_file",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "white_piece0_rank",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "black_piece0_strength",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "black_piece0_file",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "black_piece0_rank",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "1",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "2",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "4",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "5",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "6",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    }
+  ]
+}
+
+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": "c20",
+  "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=black_piece0_file.",
+  "planned_template_id": "tpl_tail_low_support_group_count_v2",
+  "bindings": {
+    "group_col": "black_piece0_file",
+    "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": 6.0,
+    "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_e/c20/artifacts/v2q_c20_a9edbf1d70a6fe07/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,178 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: c20
+- dataset_name: C20
+- table_name: c20
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 6 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 44819
+- important_fields:
+- white_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 strength.
+- white_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 file.
+- white_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 rank.
+- black_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 strength.
+- black_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 file.
+- black_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 rank.
+- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['white_piece0_strength', 'white_piece0_file', 'class'], ['white_piece0_strength', 'white_piece0_strength', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://www.openml.org/d/41027
+
+SQLite schema snapshot:
+{
+  "table_name": "c20",
+  "quoted_table_name": "\"c20\"",
+  "row_count": 44819,
+  "columns": [
+    {
+      "name": "white_piece0_strength",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "white_piece0_file",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "white_piece0_rank",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "black_piece0_strength",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "black_piece0_file",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "black_piece0_rank",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "1",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "2",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "4",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "5",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "6",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    }
+  ]
+}
+
+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": "c20",
+  "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=black_piece0_file.",
+  "planned_template_id": "tpl_tail_low_support_group_count_v2",
+  "bindings": {
+    "group_col": "black_piece0_file",
+    "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": 6.0,
+    "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_e/c20/artifacts/v2q_c20_a9edbf1d70a6fe07/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e410e-ce22-7d61-8473-a0671c3abd12"}
+{"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_e/c20/artifacts/v2q_c20_a9edbf1d70a6fe07/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e410e-ce22-7d61-8473-a0671c3abd12"}
+{"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_e/c20/artifacts/v2q_c20_a9edbf1d70a6fe07/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e410e-dfe7-7671-96ef-35c143bfe9ba"}
+{"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_e/c20/artifacts/v2q_c20_a9edbf1d70a6fe07/cli/sql_response_attempt_2.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e410e-dfe7-7671-96ef-35c143bfe9ba"}
+{"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_e/c20/artifacts/v2q_c20_b043fb896c5c1bd9/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,180 @@
+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: c20
+- dataset_name: C20
+- table_name: c20
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 6 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 44819
+- important_fields:
+- white_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 strength.
+- white_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 file.
+- white_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 rank.
+- black_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 strength.
+- black_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 file.
+- black_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 rank.
+- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['white_piece0_strength', 'white_piece0_file', 'class'], ['white_piece0_strength', 'white_piece0_strength', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://www.openml.org/d/41027
+
+SQLite schema snapshot:
+{
+  "table_name": "c20",
+  "quoted_table_name": "\"c20\"",
+  "row_count": 44819,
+  "columns": [
+    {
+      "name": "white_piece0_strength",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "white_piece0_file",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "white_piece0_rank",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "black_piece0_strength",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "black_piece0_file",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "black_piece0_rank",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "1",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "2",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "4",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "5",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "6",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    }
+  ]
+}
+
+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": "c20",
+  "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=white_piece0_strength, measure_col=white_piece0_file.",
+  "planned_template_id": "tpl_grouped_percentile_point",
+  "bindings": {
+    "group_col": "white_piece0_strength",
+    "measure_col": "white_piece0_file",
+    "top_k": 16,
+    "top_n": 7,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 4.0,
+    "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_e/c20/artifacts/v2q_c20_b043fb896c5c1bd9/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4108-f5db-7e60-bccd-7433e4d5ccb6"}
+{"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_e/c20/artifacts/v2q_c20_b043fb896c5c1bd9/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4109-0590-7283-bead-617fa370cf2d"}
+{"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_e/c20/artifacts/v2q_c20_c04e5d98379f3bfa/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": "2026-05-19T16:26:25.412442+00:00",
+  "ended_at": "2026-05-19T16:26:29.145405+00:00",
+  "elapsed_ms": 3732.91,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 5897,
+    "bytes_utf8": 5897,
+    "lines": 178,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_c04e5d98379f3bfa/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,178 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: c20
+- dataset_name: C20
+- table_name: c20
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 6 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 44819
+- important_fields:
+- white_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 strength.
+- white_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 file.
+- white_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 rank.
+- black_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 strength.
+- black_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 file.
+- black_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 rank.
+- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['white_piece0_strength', 'white_piece0_file', 'class'], ['white_piece0_strength', 'white_piece0_strength', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://www.openml.org/d/41027
+
+SQLite schema snapshot:
+{
+  "table_name": "c20",
+  "quoted_table_name": "\"c20\"",
+  "row_count": 44819,
+  "columns": [
+    {
+      "name": "white_piece0_strength",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "white_piece0_file",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "white_piece0_rank",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "black_piece0_strength",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "black_piece0_file",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "black_piece0_rank",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "1",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "2",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "4",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "5",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "6",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    }
+  ]
+}
+
+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": "c20",
+  "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=class.",
+  "planned_template_id": "tpl_tail_low_support_group_count_v2",
+  "bindings": {
+    "group_col": "class",
+    "top_k": 15,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 7.0,
+    "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_e/c20/artifacts/v2q_c20_c04e5d98379f3bfa/cli/sql_response_attempt_2.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e410f-5a81-7e61-a03c-8fd0818be602"}
+{"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_e/c20/artifacts/v2q_c20_ca0bf334cf0e0775/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5955, "bytes_utf8": 5955, "lines": 180, "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": 452, "bytes_utf8": 452, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13807, "cached_input_tokens": 12032, "output_tokens": 488, "reasoning_output_tokens": 372}}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_ca0bf334cf0e0775/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": "c20",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c20_ca0bf334cf0e0775",
+    "api_calls": 0,
+    "input_tokens": 13807,
+    "cached_input_tokens": 12032,
+    "output_tokens": 488,
+    "total_tokens": 14295,
+    "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": 11643.64,
+    "sql_execution_elapsed_ms_total": 13.07,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_ca0bf334cf0e0775/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_ca0bf334cf0e0775/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": "2026-05-19T16:05:22.376152+00:00",
+  "ended_at": "2026-05-19T16:05:34.019820+00:00",
+  "elapsed_ms": 11643.64,
+  "prompt_metrics": {
+    "chars": 5955,
+    "bytes_utf8": 5955,
+    "lines": 180,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 814,
+    "bytes_utf8": 814,
+    "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": 452,
+      "bytes_utf8": 452,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13807,
+      "cached_input_tokens": 12032,
+      "output_tokens": 488,
+      "reasoning_output_tokens": 372
+    }
+  },
+  "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_e/c20/artifacts/v2q_c20_ca0bf334cf0e0775/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,180 @@
+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: c20
+- dataset_name: C20
+- table_name: c20
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 6 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 44819
+- important_fields:
+- white_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 strength.
+- white_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 file.
+- white_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 rank.
+- black_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 strength.
+- black_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 file.
+- black_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 rank.
+- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['white_piece0_strength', 'white_piece0_file', 'class'], ['white_piece0_strength', 'white_piece0_strength', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://www.openml.org/d/41027
+
+SQLite schema snapshot:
+{
+  "table_name": "c20",
+  "quoted_table_name": "\"c20\"",
+  "row_count": 44819,
+  "columns": [
+    {
+      "name": "white_piece0_strength",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "white_piece0_file",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "white_piece0_rank",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "black_piece0_strength",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "black_piece0_file",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "black_piece0_rank",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "1",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "2",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "4",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "5",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    },
+    {
+      "white_piece0_strength": "0",
+      "white_piece0_file": "6",
+      "white_piece0_rank": "8",
+      "black_piece0_strength": "0",
+      "black_piece0_file": "0",
+      "black_piece0_rank": "8",
+      "class": "w"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c20",
+  "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=white_piece0_strength, measure_col=white_piece0_file.",
+  "planned_template_id": "tpl_h2o_group_sum",
+  "bindings": {
+    "group_col": "white_piece0_strength",
+    "measure_col": "white_piece0_file",
+    "top_k": 12,
+    "top_n": 6,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 5.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_ca0bf334cf0e0775/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fc-1458-7130-a214-ace079de8c2b"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"white_piece0_strength\\\", SUM(CAST(\\\"white_piece0_file\\\" AS INTEGER)) AS \\\"total_measure\\\"\\nFROM \\\"c20\\\"\\nGROUP BY \\\"white_piece0_strength\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the planned Grouped Numeric Sum template with \\\"white_piece0_strength\\\" as group_col and \\\"white_piece0_file\\\" as measure_col. CAST was added because the schema stores these numeric-discrete fields as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13807,"cached_input_tokens":12032,"output_tokens":488,"reasoning_output_tokens":372}}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_ca0bf334cf0e0775/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"white_piece0_strength\", SUM(CAST(\"white_piece0_file\" AS INTEGER)) AS \"total_measure\"\nFROM \"c20\"\nGROUP BY \"white_piece0_strength\"\nORDER BY \"total_measure\" DESC;","notes":"Applied the planned Grouped Numeric Sum template with \"white_piece0_strength\" as group_col and \"white_piece0_file\" as measure_col. CAST was added because the schema stores these numeric-discrete fields as TEXT."}