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Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_016279e05b0beb15/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5653, "bytes_utf8": 5653, "lines": 178, "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": 355, "bytes_utf8": 355, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13699, "cached_input_tokens": 12672, "output_tokens": 270, "reasoning_output_tokens": 173}}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_016279e05b0beb15/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": "c2",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c2_016279e05b0beb15",
+    "api_calls": 0,
+    "input_tokens": 13699,
+    "cached_input_tokens": 12672,
+    "output_tokens": 270,
+    "total_tokens": 13969,
+    "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": 7952.52,
+    "sql_execution_elapsed_ms_total": 1.72,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_016279e05b0beb15/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_016279e05b0beb15/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": "2026-05-19T15:02:36.696628+00:00",
+  "ended_at": "2026-05-19T15:02:44.649182+00:00",
+  "elapsed_ms": 7952.52,
+  "prompt_metrics": {
+    "chars": 5653,
+    "bytes_utf8": 5653,
+    "lines": 178,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 716,
+    "bytes_utf8": 716,
+    "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": 355,
+      "bytes_utf8": 355,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13699,
+      "cached_input_tokens": 12672,
+      "output_tokens": 270,
+      "reasoning_output_tokens": 173
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_016279e05b0beb15/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: c2
+- dataset_name: Car Evaluation
+- table_name: c2
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one car configuration described by six ordinal categorical attributes.
+- task_type: classification
+- target_column: class
+- main_row_count: 1728
+- important_fields:
+- buying: role=feature, type=categorical_ordinal. ordered=['low', 'med', 'high', 'vhigh'] tags=['condition_candidate', 'subgroup_candidate'] desc=Buying price category.
+- maint: role=feature, type=categorical_ordinal. ordered=['low', 'med', 'high', 'vhigh'] tags=['condition_candidate', 'subgroup_candidate'] desc=Maintenance cost category.
+- doors: role=feature, type=categorical_ordinal_count_like. ordered=['2', '3', '4', '5more'] tags=['condition_candidate', 'subgroup_candidate'] desc=Number of doors (count-like ordinal category).
+- persons: role=feature, type=categorical_ordinal_count_like. ordered=['2', '4', 'more'] tags=['condition_candidate', 'subgroup_candidate'] desc=Passenger capacity category (count-like).
+- lug_boot: role=feature, type=categorical_ordinal. ordered=['small', 'med', 'big'] tags=['condition_candidate', 'subgroup_candidate'] desc=Luggage boot size category.
+- safety: role=feature, type=categorical_ordinal. ordered=['low', 'med', 'high'] tags=['condition_candidate', 'subgroup_candidate'] desc=Safety rating category.
+- class: role=target, type=categorical_ordinal_target. ordered=['unacc', 'acc', 'good', 'vgood'] tags=['target_candidate'] desc=Car acceptability class label.
+- useful_field_combinations: [['safety', 'persons', 'class'], ['buying', 'maint', 'class'], ['lug_boot', 'safety', 'class']]
+- fields_requiring_caution: ['class', 'doors', 'persons']
+- source_url: https://archive.ics.uci.edu/dataset/19/car+evaluation
+
+SQLite schema snapshot:
+{
+  "table_name": "c2",
+  "quoted_table_name": "\"c2\"",
+  "row_count": 1728,
+  "columns": [
+    {
+      "name": "buying",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "maint",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "doors",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "persons",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "lug_boot",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "safety",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "buying": "vhigh",
+      "maint": "vhigh",
+      "doors": "2",
+      "persons": "2",
+      "lug_boot": "small",
+      "safety": "low",
+      "class": "unacc"
+    },
+    {
+      "buying": "vhigh",
+      "maint": "vhigh",
+      "doors": "2",
+      "persons": "2",
+      "lug_boot": "small",
+      "safety": "med",
+      "class": "unacc"
+    },
+    {
+      "buying": "vhigh",
+      "maint": "vhigh",
+      "doors": "2",
+      "persons": "2",
+      "lug_boot": "small",
+      "safety": "high",
+      "class": "unacc"
+    },
+    {
+      "buying": "vhigh",
+      "maint": "vhigh",
+      "doors": "2",
+      "persons": "2",
+      "lug_boot": "med",
+      "safety": "low",
+      "class": "unacc"
+    },
+    {
+      "buying": "vhigh",
+      "maint": "vhigh",
+      "doors": "2",
+      "persons": "2",
+      "lug_boot": "med",
+      "safety": "med",
+      "class": "unacc"
+    }
+  ]
+}
+
+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": "c2",
+  "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=persons.",
+  "planned_template_id": "tpl_tail_low_support_group_count_v2",
+  "bindings": {
+    "group_col": "persons",
+    "top_k": 11,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 0.0,
+    "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_f/c2/artifacts/v2q_c2_016279e05b0beb15/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40c2-9e83-7913-9c85-ecfda7fa2916"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n    \\\"persons\\\",\\n    COUNT(*) AS \\\"support\\\"\\nFROM \\\"c2\\\"\\nGROUP BY \\\"persons\\\"\\nORDER BY \\\"support\\\" ASC, \\\"persons\\\"\\nLIMIT 11;\",\"notes\":\"Implements the Low-Support Group Count template using \\\"persons\\\" as the grouping column and returns up to 11 groups with the smallest support.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13699,"cached_input_tokens":12672,"output_tokens":270,"reasoning_output_tokens":173}}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_016279e05b0beb15/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n    \"persons\",\n    COUNT(*) AS \"support\"\nFROM \"c2\"\nGROUP BY \"persons\"\nORDER BY \"support\" ASC, \"persons\"\nLIMIT 11;","notes":"Implements the Low-Support Group Count template using \"persons\" as the grouping column and returns up to 11 groups with the smallest support."}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_02b69913d3879aa5/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5970, "bytes_utf8": 5970, "lines": 184, "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": 352, "bytes_utf8": 352, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13780, "cached_input_tokens": 12672, "output_tokens": 359, "reasoning_output_tokens": 252}}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_02b69913d3879aa5/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": "c2",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c2_02b69913d3879aa5",
+    "api_calls": 0,
+    "input_tokens": 13780,
+    "cached_input_tokens": 12672,
+    "output_tokens": 359,
+    "total_tokens": 14139,
+    "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": 9764.14,
+    "sql_execution_elapsed_ms_total": 1.08,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_02b69913d3879aa5/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_02b69913d3879aa5/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": "2026-05-19T15:00:25.967757+00:00",
+  "ended_at": "2026-05-19T15:00:35.731932+00:00",
+  "elapsed_ms": 9764.14,
+  "prompt_metrics": {
+    "chars": 5970,
+    "bytes_utf8": 5970,
+    "lines": 184,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 727,
+    "bytes_utf8": 727,
+    "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": 352,
+      "bytes_utf8": 352,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13780,
+      "cached_input_tokens": 12672,
+      "output_tokens": 359,
+      "reasoning_output_tokens": 252
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_02b69913d3879aa5/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: c2
+- dataset_name: Car Evaluation
+- table_name: c2
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one car configuration described by six ordinal categorical attributes.
+- task_type: classification
+- target_column: class
+- main_row_count: 1728
+- important_fields:
+- buying: role=feature, type=categorical_ordinal. ordered=['low', 'med', 'high', 'vhigh'] tags=['condition_candidate', 'subgroup_candidate'] desc=Buying price category.
+- maint: role=feature, type=categorical_ordinal. ordered=['low', 'med', 'high', 'vhigh'] tags=['condition_candidate', 'subgroup_candidate'] desc=Maintenance cost category.
+- doors: role=feature, type=categorical_ordinal_count_like. ordered=['2', '3', '4', '5more'] tags=['condition_candidate', 'subgroup_candidate'] desc=Number of doors (count-like ordinal category).
+- persons: role=feature, type=categorical_ordinal_count_like. ordered=['2', '4', 'more'] tags=['condition_candidate', 'subgroup_candidate'] desc=Passenger capacity category (count-like).
+- lug_boot: role=feature, type=categorical_ordinal. ordered=['small', 'med', 'big'] tags=['condition_candidate', 'subgroup_candidate'] desc=Luggage boot size category.
+- safety: role=feature, type=categorical_ordinal. ordered=['low', 'med', 'high'] tags=['condition_candidate', 'subgroup_candidate'] desc=Safety rating category.
+- class: role=target, type=categorical_ordinal_target. ordered=['unacc', 'acc', 'good', 'vgood'] tags=['target_candidate'] desc=Car acceptability class label.
+- useful_field_combinations: [['safety', 'persons', 'class'], ['buying', 'maint', 'class'], ['lug_boot', 'safety', 'class']]
+- fields_requiring_caution: ['class', 'doors', 'persons']
+- source_url: https://archive.ics.uci.edu/dataset/19/car+evaluation
+
+SQLite schema snapshot:
+{
+  "table_name": "c2",
+  "quoted_table_name": "\"c2\"",
+  "row_count": 1728,
+  "columns": [
+    {
+      "name": "buying",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "maint",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "doors",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "persons",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "lug_boot",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "safety",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "buying": "vhigh",
+      "maint": "vhigh",
+      "doors": "2",
+      "persons": "2",
+      "lug_boot": "small",
+      "safety": "low",
+      "class": "unacc"
+    },
+    {
+      "buying": "vhigh",
+      "maint": "vhigh",
+      "doors": "2",
+      "persons": "2",
+      "lug_boot": "small",
+      "safety": "med",
+      "class": "unacc"
+    },
+    {
+      "buying": "vhigh",
+      "maint": "vhigh",
+      "doors": "2",
+      "persons": "2",
+      "lug_boot": "small",
+      "safety": "high",
+      "class": "unacc"
+    },
+    {
+      "buying": "vhigh",
+      "maint": "vhigh",
+      "doors": "2",
+      "persons": "2",
+      "lug_boot": "med",
+      "safety": "low",
+      "class": "unacc"
+    },
+    {
+      "buying": "vhigh",
+      "maint": "vhigh",
+      "doors": "2",
+      "persons": "2",
+      "lug_boot": "med",
+      "safety": "med",
+      "class": "unacc"
+    }
+  ]
+}
+
+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": "c2",
+  "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=doors, group_col_2=lug_boot.",
+  "planned_template_id": "tpl_c2_filtered_group_count_2d",
+  "bindings": {
+    "group_col": "doors",
+    "group_col_2": "lug_boot",
+    "predicate_col": "safety",
+    "predicate_op": "=",
+    "predicate_value": "high",
+    "top_k": 14,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 0.0,
+    "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_f/c2/artifacts/v2q_c2_02b69913d3879aa5/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40c0-9fe8-7ec0-b99a-f1b9590d3b5b"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"doors\\\", \\\"lug_boot\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c2\\\"\\nWHERE \\\"safety\\\" = 'high'\\nGROUP BY \\\"doors\\\", \\\"lug_boot\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the planned template with \\\"doors\\\" and \\\"lug_boot\\\" as grouping columns, filtered to rows where \\\"safety\\\" = 'high'.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13780,"cached_input_tokens":12672,"output_tokens":359,"reasoning_output_tokens":252}}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_02b69913d3879aa5/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"doors\", \"lug_boot\", COUNT(*) AS \"row_count\"\nFROM \"c2\"\nWHERE \"safety\" = 'high'\nGROUP BY \"doors\", \"lug_boot\"\nORDER BY \"row_count\" DESC;","notes":"Uses the planned template with \"doors\" and \"lug_boot\" as grouping columns, filtered to rows where \"safety\" = 'high'."}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_07071d372558517c/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5649, "bytes_utf8": 5649, "lines": 178, "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": 346, "bytes_utf8": 346, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13699, "cached_input_tokens": 0, "output_tokens": 230, "reasoning_output_tokens": 137}}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_07071d372558517c/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": "c2",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c2_07071d372558517c",
+    "api_calls": 0,
+    "input_tokens": 13699,
+    "cached_input_tokens": 0,
+    "output_tokens": 230,
+    "total_tokens": 13929,
+    "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": 8361.01,
+    "sql_execution_elapsed_ms_total": 1.2,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_07071d372558517c/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_07071d372558517c/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": "2026-05-19T15:01:33.072889+00:00",
+  "ended_at": "2026-05-19T15:01:41.433938+00:00",
+  "elapsed_ms": 8361.01,
+  "prompt_metrics": {
+    "chars": 5649,
+    "bytes_utf8": 5649,
+    "lines": 178,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 695,
+    "bytes_utf8": 695,
+    "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": 346,
+      "bytes_utf8": 346,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13699,
+      "cached_input_tokens": 0,
+      "output_tokens": 230,
+      "reasoning_output_tokens": 137
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_07071d372558517c/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: c2
+- dataset_name: Car Evaluation
+- table_name: c2
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one car configuration described by six ordinal categorical attributes.
+- task_type: classification
+- target_column: class
+- main_row_count: 1728
+- important_fields:
+- buying: role=feature, type=categorical_ordinal. ordered=['low', 'med', 'high', 'vhigh'] tags=['condition_candidate', 'subgroup_candidate'] desc=Buying price category.
+- maint: role=feature, type=categorical_ordinal. ordered=['low', 'med', 'high', 'vhigh'] tags=['condition_candidate', 'subgroup_candidate'] desc=Maintenance cost category.
+- doors: role=feature, type=categorical_ordinal_count_like. ordered=['2', '3', '4', '5more'] tags=['condition_candidate', 'subgroup_candidate'] desc=Number of doors (count-like ordinal category).
+- persons: role=feature, type=categorical_ordinal_count_like. ordered=['2', '4', 'more'] tags=['condition_candidate', 'subgroup_candidate'] desc=Passenger capacity category (count-like).
+- lug_boot: role=feature, type=categorical_ordinal. ordered=['small', 'med', 'big'] tags=['condition_candidate', 'subgroup_candidate'] desc=Luggage boot size category.
+- safety: role=feature, type=categorical_ordinal. ordered=['low', 'med', 'high'] tags=['condition_candidate', 'subgroup_candidate'] desc=Safety rating category.
+- class: role=target, type=categorical_ordinal_target. ordered=['unacc', 'acc', 'good', 'vgood'] tags=['target_candidate'] desc=Car acceptability class label.
+- useful_field_combinations: [['safety', 'persons', 'class'], ['buying', 'maint', 'class'], ['lug_boot', 'safety', 'class']]
+- fields_requiring_caution: ['class', 'doors', 'persons']
+- source_url: https://archive.ics.uci.edu/dataset/19/car+evaluation
+
+SQLite schema snapshot:
+{
+  "table_name": "c2",
+  "quoted_table_name": "\"c2\"",
+  "row_count": 1728,
+  "columns": [
+    {
+      "name": "buying",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "maint",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "doors",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "persons",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "lug_boot",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "safety",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "buying": "vhigh",
+      "maint": "vhigh",
+      "doors": "2",
+      "persons": "2",
+      "lug_boot": "small",
+      "safety": "low",
+      "class": "unacc"
+    },
+    {
+      "buying": "vhigh",
+      "maint": "vhigh",
+      "doors": "2",
+      "persons": "2",
+      "lug_boot": "small",
+      "safety": "med",
+      "class": "unacc"
+    },
+    {
+      "buying": "vhigh",
+      "maint": "vhigh",
+      "doors": "2",
+      "persons": "2",
+      "lug_boot": "small",
+      "safety": "high",
+      "class": "unacc"
+    },
+    {
+      "buying": "vhigh",
+      "maint": "vhigh",
+      "doors": "2",
+      "persons": "2",
+      "lug_boot": "med",
+      "safety": "low",
+      "class": "unacc"
+    },
+    {
+      "buying": "vhigh",
+      "maint": "vhigh",
+      "doors": "2",
+      "persons": "2",
+      "lug_boot": "med",
+      "safety": "med",
+      "class": "unacc"
+    }
+  ]
+}
+
+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": "c2",
+  "question": "Use template Low-Support Group Count to probe tail_set_consistency 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": 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": 0.0,
+    "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_f/c2/artifacts/v2q_c2_07071d372558517c/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40c1-a60b-7001-86c4-b5e495fbe4c2"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n    \\\"class\\\",\\n    COUNT(*) AS support\\nFROM \\\"c2\\\"\\nGROUP BY \\\"class\\\"\\nORDER BY support ASC, \\\"class\\\"\\nLIMIT 12;\",\"notes\":\"Applies the Low-Support Group Count template with group_col bound to \\\"class\\\", counting rows per class and ordering from lowest support to highest.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13699,"cached_input_tokens":0,"output_tokens":230,"reasoning_output_tokens":137}}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_07071d372558517c/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n    \"class\",\n    COUNT(*) AS support\nFROM \"c2\"\nGROUP BY \"class\"\nORDER BY support ASC, \"class\"\nLIMIT 12;","notes":"Applies the Low-Support Group Count template with group_col bound to \"class\", counting rows per class and ordering from lowest support to highest."}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_0869bd81c27dcee3/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5823, "bytes_utf8": 5823, "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": 382, "bytes_utf8": 382, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13764, "cached_input_tokens": 12672, "output_tokens": 199, "reasoning_output_tokens": 88}}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_0869bd81c27dcee3/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": "c2",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c2_0869bd81c27dcee3",
+    "api_calls": 0,
+    "input_tokens": 13764,
+    "cached_input_tokens": 12672,
+    "output_tokens": 199,
+    "total_tokens": 13963,
+    "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": 6735.81,
+    "sql_execution_elapsed_ms_total": 2.39,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_0869bd81c27dcee3/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_0869bd81c27dcee3/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": "2026-05-19T15:03:24.932751+00:00",
+  "ended_at": "2026-05-19T15:03:31.668590+00:00",
+  "elapsed_ms": 6735.81,
+  "prompt_metrics": {
+    "chars": 5823,
+    "bytes_utf8": 5823,
+    "lines": 180,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 755,
+    "bytes_utf8": 755,
+    "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": 382,
+      "bytes_utf8": 382,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13764,
+      "cached_input_tokens": 12672,
+      "output_tokens": 199,
+      "reasoning_output_tokens": 88
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_0869bd81c27dcee3/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: c2
+- dataset_name: Car Evaluation
+- table_name: c2
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one car configuration described by six ordinal categorical attributes.
+- task_type: classification
+- target_column: class
+- main_row_count: 1728
+- important_fields:
+- buying: role=feature, type=categorical_ordinal. ordered=['low', 'med', 'high', 'vhigh'] tags=['condition_candidate', 'subgroup_candidate'] desc=Buying price category.
+- maint: role=feature, type=categorical_ordinal. ordered=['low', 'med', 'high', 'vhigh'] tags=['condition_candidate', 'subgroup_candidate'] desc=Maintenance cost category.
+- doors: role=feature, type=categorical_ordinal_count_like. ordered=['2', '3', '4', '5more'] tags=['condition_candidate', 'subgroup_candidate'] desc=Number of doors (count-like ordinal category).
+- persons: role=feature, type=categorical_ordinal_count_like. ordered=['2', '4', 'more'] tags=['condition_candidate', 'subgroup_candidate'] desc=Passenger capacity category (count-like).
+- lug_boot: role=feature, type=categorical_ordinal. ordered=['small', 'med', 'big'] tags=['condition_candidate', 'subgroup_candidate'] desc=Luggage boot size category.
+- safety: role=feature, type=categorical_ordinal. ordered=['low', 'med', 'high'] tags=['condition_candidate', 'subgroup_candidate'] desc=Safety rating category.
+- class: role=target, type=categorical_ordinal_target. ordered=['unacc', 'acc', 'good', 'vgood'] tags=['target_candidate'] desc=Car acceptability class label.
+- useful_field_combinations: [['safety', 'persons', 'class'], ['buying', 'maint', 'class'], ['lug_boot', 'safety', 'class']]
+- fields_requiring_caution: ['class', 'doors', 'persons']
+- source_url: https://archive.ics.uci.edu/dataset/19/car+evaluation
+
+SQLite schema snapshot:
+{
+  "table_name": "c2",
+  "quoted_table_name": "\"c2\"",
+  "row_count": 1728,
+  "columns": [
+    {
+      "name": "buying",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "maint",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "doors",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "persons",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "lug_boot",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "safety",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "buying": "vhigh",
+      "maint": "vhigh",
+      "doors": "2",
+      "persons": "2",
+      "lug_boot": "small",
+      "safety": "low",
+      "class": "unacc"
+    },
+    {
+      "buying": "vhigh",
+      "maint": "vhigh",
+      "doors": "2",
+      "persons": "2",
+      "lug_boot": "small",
+      "safety": "med",
+      "class": "unacc"
+    },
+    {
+      "buying": "vhigh",
+      "maint": "vhigh",
+      "doors": "2",
+      "persons": "2",
+      "lug_boot": "small",
+      "safety": "high",
+      "class": "unacc"
+    },
+    {
+      "buying": "vhigh",
+      "maint": "vhigh",
+      "doors": "2",
+      "persons": "2",
+      "lug_boot": "med",
+      "safety": "low",
+      "class": "unacc"
+    },
+    {
+      "buying": "vhigh",
+      "maint": "vhigh",
+      "doors": "2",
+      "persons": "2",
+      "lug_boot": "med",
+      "safety": "med",
+      "class": "unacc"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tail_pairwise_sparse_slice_v2",
+    "template_name": "Pairwise Sparse Slice Count",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT\n    {group_col},\n    {group_col_2},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col",
+      "group_col_2"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c2",
+  "question": "Use template Pairwise Sparse Slice Count to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=maint, group_col_2=class.",
+  "planned_template_id": "tpl_tail_pairwise_sparse_slice_v2",
+  "bindings": {
+    "group_col": "maint",
+    "group_col_2": "class",
+    "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": 0.0,
+    "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    {group_col_2},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}, {group_col_2}\nORDER BY support ASC, {group_col}, {group_col_2}\nLIMIT {top_k};"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_0869bd81c27dcee3/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40c3-5af2-74b3-b9de-2ca4e97d04d3"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_pairwise_sparse_slice_v2\\nSELECT\\n    \\\"maint\\\",\\n    \\\"class\\\",\\n    COUNT(*) AS support\\nFROM \\\"c2\\\"\\nGROUP BY \\\"maint\\\", \\\"class\\\"\\nORDER BY support ASC, \\\"maint\\\", \\\"class\\\"\\nLIMIT 13;\",\"notes\":\"Applied the requested Pairwise Sparse Slice Count template with group_col=\\\"maint\\\", group_col_2=\\\"class\\\", and top_k=13 on the single table \\\"c2\\\".\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13764,"cached_input_tokens":12672,"output_tokens":199,"reasoning_output_tokens":88}}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_0869bd81c27dcee3/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tail_pairwise_sparse_slice_v2\nSELECT\n    \"maint\",\n    \"class\",\n    COUNT(*) AS support\nFROM \"c2\"\nGROUP BY \"maint\", \"class\"\nORDER BY support ASC, \"maint\", \"class\"\nLIMIT 13;","notes":"Applied the requested Pairwise Sparse Slice Count template with group_col=\"maint\", group_col_2=\"class\", and top_k=13 on the single table \"c2\"."}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_086fe3c25c36bc81/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5995, "bytes_utf8": 5995, "lines": 181, "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": 459, "bytes_utf8": 459, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13804, "cached_input_tokens": 12672, "output_tokens": 522, "reasoning_output_tokens": 375}}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_086fe3c25c36bc81/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": "c2",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c2_086fe3c25c36bc81",
+    "api_calls": 0,
+    "input_tokens": 13804,
+    "cached_input_tokens": 12672,
+    "output_tokens": 522,
+    "total_tokens": 14326,
+    "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": 11149.26,
+    "sql_execution_elapsed_ms_total": 1.78,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_086fe3c25c36bc81/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_086fe3c25c36bc81/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": "2026-05-19T15:07:11.083856+00:00",
+  "ended_at": "2026-05-19T15:07:22.233145+00:00",
+  "elapsed_ms": 11149.26,
+  "prompt_metrics": {
+    "chars": 5995,
+    "bytes_utf8": 5995,
+    "lines": 181,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 834,
+    "bytes_utf8": 834,
+    "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": 459,
+      "bytes_utf8": 459,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13804,
+      "cached_input_tokens": 12672,
+      "output_tokens": 522,
+      "reasoning_output_tokens": 375
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_086fe3c25c36bc81/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,181 @@
+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: c2
+- dataset_name: Car Evaluation
+- table_name: c2
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one car configuration described by six ordinal categorical attributes.
+- task_type: classification
+- target_column: class
+- main_row_count: 1728
+- important_fields:
+- buying: role=feature, type=categorical_ordinal. ordered=['low', 'med', 'high', 'vhigh'] tags=['condition_candidate', 'subgroup_candidate'] desc=Buying price category.
+- maint: role=feature, type=categorical_ordinal. ordered=['low', 'med', 'high', 'vhigh'] tags=['condition_candidate', 'subgroup_candidate'] desc=Maintenance cost category.
+- doors: role=feature, type=categorical_ordinal_count_like. ordered=['2', '3', '4', '5more'] tags=['condition_candidate', 'subgroup_candidate'] desc=Number of doors (count-like ordinal category).
+- persons: role=feature, type=categorical_ordinal_count_like. ordered=['2', '4', 'more'] tags=['condition_candidate', 'subgroup_candidate'] desc=Passenger capacity category (count-like).
+- lug_boot: role=feature, type=categorical_ordinal. ordered=['small', 'med', 'big'] tags=['condition_candidate', 'subgroup_candidate'] desc=Luggage boot size category.
+- safety: role=feature, type=categorical_ordinal. ordered=['low', 'med', 'high'] tags=['condition_candidate', 'subgroup_candidate'] desc=Safety rating category.
+- class: role=target, type=categorical_ordinal_target. ordered=['unacc', 'acc', 'good', 'vgood'] tags=['target_candidate'] desc=Car acceptability class label.
+- useful_field_combinations: [['safety', 'persons', 'class'], ['buying', 'maint', 'class'], ['lug_boot', 'safety', 'class']]
+- fields_requiring_caution: ['class', 'doors', 'persons']
+- source_url: https://archive.ics.uci.edu/dataset/19/car+evaluation
+
+SQLite schema snapshot:
+{
+  "table_name": "c2",
+  "quoted_table_name": "\"c2\"",
+  "row_count": 1728,
+  "columns": [
+    {
+      "name": "buying",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "maint",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "doors",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "persons",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "lug_boot",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "safety",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "buying": "vhigh",
+      "maint": "vhigh",
+      "doors": "2",
+      "persons": "2",
+      "lug_boot": "small",
+      "safety": "low",
+      "class": "unacc"
+    },
+    {
+      "buying": "vhigh",
+      "maint": "vhigh",
+      "doors": "2",
+      "persons": "2",
+      "lug_boot": "small",
+      "safety": "med",
+      "class": "unacc"
+    },
+    {
+      "buying": "vhigh",
+      "maint": "vhigh",
+      "doors": "2",
+      "persons": "2",
+      "lug_boot": "small",
+      "safety": "high",
+      "class": "unacc"
+    },
+    {
+      "buying": "vhigh",
+      "maint": "vhigh",
+      "doors": "2",
+      "persons": "2",
+      "lug_boot": "med",
+      "safety": "low",
+      "class": "unacc"
+    },
+    {
+      "buying": "vhigh",
+      "maint": "vhigh",
+      "doors": "2",
+      "persons": "2",
+      "lug_boot": "med",
+      "safety": "med",
+      "class": "unacc"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tail_target_rate_extremes_v2",
+    "template_name": "Tail Target-Rate Extremes",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support,\n    AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col",
+      "target_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c2",
+  "question": "Use template Tail Target-Rate Extremes to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=buying, target_col=class.",
+  "planned_template_id": "tpl_tail_target_rate_extremes_v2",
+  "bindings": {
+    "group_col": "buying",
+    "target_col": "class",
+    "target_value": "vgood",
+    "top_k": 11,
+    "top_n": 6,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 0.0,
+    "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,\n    AVG(CASE WHEN {target_col} = {target_value} THEN 1 ELSE 0 END) AS focus_rate\nFROM {table}\nGROUP BY {group_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY focus_rate DESC, support ASC\nLIMIT {top_k};"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_086fe3c25c36bc81/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40c6-ce5e-7d32-8ff5-3e0c9ed455ef"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_target_rate_extremes_v2\\nSELECT\\n  \\\"buying\\\",\\n  COUNT(*) AS \\\"support\\\",\\n  AVG(CASE WHEN \\\"class\\\" = 'vgood' THEN 1 ELSE 0 END) AS \\\"focus_rate\\\"\\nFROM \\\"c2\\\"\\nGROUP BY \\\"buying\\\"\\nHAVING COUNT(*) >= 5\\nORDER BY \\\"focus_rate\\\" DESC, \\\"support\\\" ASC\\nLIMIT 11;\",\"notes\":\"Uses the planned Tail Target-Rate Extremes template with group_col=\\\"buying\\\", target_col=\\\"class\\\", target_value='vgood', min_support=5, and top_k=11.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13804,"cached_input_tokens":12672,"output_tokens":522,"reasoning_output_tokens":375}}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_086fe3c25c36bc81/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tail_target_rate_extremes_v2\nSELECT\n  \"buying\",\n  COUNT(*) AS \"support\",\n  AVG(CASE WHEN \"class\" = 'vgood' THEN 1 ELSE 0 END) AS \"focus_rate\"\nFROM \"c2\"\nGROUP BY \"buying\"\nHAVING COUNT(*) >= 5\nORDER BY \"focus_rate\" DESC, \"support\" ASC\nLIMIT 11;","notes":"Uses the planned Tail Target-Rate Extremes template with group_col=\"buying\", target_col=\"class\", target_value='vgood', min_support=5, and top_k=11."}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_08b20ac2ad20d6ba/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5569, "bytes_utf8": 5569, "lines": 178, "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": 320, "bytes_utf8": 320, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13661, "cached_input_tokens": 0, "output_tokens": 195, "reasoning_output_tokens": 117}}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_08b20ac2ad20d6ba/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": "c2",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c2_08b20ac2ad20d6ba",
+    "api_calls": 0,
+    "input_tokens": 13661,
+    "cached_input_tokens": 0,
+    "output_tokens": 195,
+    "total_tokens": 13856,
+    "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": 7364.15,
+    "sql_execution_elapsed_ms_total": 1.59,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_08b20ac2ad20d6ba/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_08b20ac2ad20d6ba/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": "2026-05-19T14:53:49.874545+00:00",
+  "ended_at": "2026-05-19T14:53:57.238718+00:00",
+  "elapsed_ms": 7364.15,
+  "prompt_metrics": {
+    "chars": 5569,
+    "bytes_utf8": 5569,
+    "lines": 178,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 662,
+    "bytes_utf8": 662,
+    "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": 320,
+      "bytes_utf8": 320,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13661,
+      "cached_input_tokens": 0,
+      "output_tokens": 195,
+      "reasoning_output_tokens": 117
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_08b20ac2ad20d6ba/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: c2
+- dataset_name: Car Evaluation
+- table_name: c2
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one car configuration described by six ordinal categorical attributes.
+- task_type: classification
+- target_column: class
+- main_row_count: 1728
+- important_fields:
+- buying: role=feature, type=categorical_ordinal. ordered=['low', 'med', 'high', 'vhigh'] tags=['condition_candidate', 'subgroup_candidate'] desc=Buying price category.
+- maint: role=feature, type=categorical_ordinal. ordered=['low', 'med', 'high', 'vhigh'] tags=['condition_candidate', 'subgroup_candidate'] desc=Maintenance cost category.
+- doors: role=feature, type=categorical_ordinal_count_like. ordered=['2', '3', '4', '5more'] tags=['condition_candidate', 'subgroup_candidate'] desc=Number of doors (count-like ordinal category).
+- persons: role=feature, type=categorical_ordinal_count_like. ordered=['2', '4', 'more'] tags=['condition_candidate', 'subgroup_candidate'] desc=Passenger capacity category (count-like).
+- lug_boot: role=feature, type=categorical_ordinal. ordered=['small', 'med', 'big'] tags=['condition_candidate', 'subgroup_candidate'] desc=Luggage boot size category.
+- safety: role=feature, type=categorical_ordinal. ordered=['low', 'med', 'high'] tags=['condition_candidate', 'subgroup_candidate'] desc=Safety rating category.
+- class: role=target, type=categorical_ordinal_target. ordered=['unacc', 'acc', 'good', 'vgood'] tags=['target_candidate'] desc=Car acceptability class label.
+- useful_field_combinations: [['safety', 'persons', 'class'], ['buying', 'maint', 'class'], ['lug_boot', 'safety', 'class']]
+- fields_requiring_caution: ['class', 'doors', 'persons']
+- source_url: https://archive.ics.uci.edu/dataset/19/car+evaluation
+
+SQLite schema snapshot:
+{
+  "table_name": "c2",
+  "quoted_table_name": "\"c2\"",
+  "row_count": 1728,
+  "columns": [
+    {
+      "name": "buying",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "maint",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "doors",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "persons",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "lug_boot",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "safety",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "buying": "vhigh",
+      "maint": "vhigh",
+      "doors": "2",
+      "persons": "2",
+      "lug_boot": "small",
+      "safety": "low",
+      "class": "unacc"
+    },
+    {
+      "buying": "vhigh",
+      "maint": "vhigh",
+      "doors": "2",
+      "persons": "2",
+      "lug_boot": "small",
+      "safety": "med",
+      "class": "unacc"
+    },
+    {
+      "buying": "vhigh",
+      "maint": "vhigh",
+      "doors": "2",
+      "persons": "2",
+      "lug_boot": "small",
+      "safety": "high",
+      "class": "unacc"
+    },
+    {
+      "buying": "vhigh",
+      "maint": "vhigh",
+      "doors": "2",
+      "persons": "2",
+      "lug_boot": "med",
+      "safety": "low",
+      "class": "unacc"
+    },
+    {
+      "buying": "vhigh",
+      "maint": "vhigh",
+      "doors": "2",
+      "persons": "2",
+      "lug_boot": "med",
+      "safety": "med",
+      "class": "unacc"
+    }
+  ]
+}
+
+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": "c2",
+  "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=maint.",
+  "planned_template_id": "tpl_clickbench_group_count",
+  "bindings": {
+    "group_col": "maint",
+    "top_k": 10,
+    "top_n": 6,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 0.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_08b20ac2ad20d6ba/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40ba-94c2-77c0-bfcd-21756bd11a46"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"maint\\\", COUNT(*) AS row_count\\nFROM \\\"c2\\\"\\nGROUP BY \\\"maint\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the provided grouped-count template with group_col bound to \\\"maint\\\" to show the count distribution of car configurations by maintenance cost category.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13661,"cached_input_tokens":0,"output_tokens":195,"reasoning_output_tokens":117}}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_08b20ac2ad20d6ba/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"maint\", COUNT(*) AS row_count\nFROM \"c2\"\nGROUP BY \"maint\"\nORDER BY row_count DESC;","notes":"Uses the provided grouped-count template with group_col bound to \"maint\" to show the count distribution of car configurations by maintenance cost category."}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_0adfb55328c67d56/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5776, "bytes_utf8": 5776, "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": 440, "bytes_utf8": 440, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13715, "cached_input_tokens": 0, "output_tokens": 281, "reasoning_output_tokens": 166}}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_0adfb55328c67d56/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": "c2",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c2_0adfb55328c67d56",
+    "api_calls": 0,
+    "input_tokens": 13715,
+    "cached_input_tokens": 0,
+    "output_tokens": 281,
+    "total_tokens": 13996,
+    "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": 8809.46,
+    "sql_execution_elapsed_ms_total": 1.15,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_0adfb55328c67d56/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_0adfb55328c67d56/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": "2026-05-19T14:51:25.082898+00:00",
+  "ended_at": "2026-05-19T14:51:33.892396+00:00",
+  "elapsed_ms": 8809.46,
+  "prompt_metrics": {
+    "chars": 5776,
+    "bytes_utf8": 5776,
+    "lines": 180,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 799,
+    "bytes_utf8": 799,
+    "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": 440,
+      "bytes_utf8": 440,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13715,
+      "cached_input_tokens": 0,
+      "output_tokens": 281,
+      "reasoning_output_tokens": 166
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_0adfb55328c67d56/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: c2
+- dataset_name: Car Evaluation
+- table_name: c2
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one car configuration described by six ordinal categorical attributes.
+- task_type: classification
+- target_column: class
+- main_row_count: 1728
+- important_fields:
+- buying: role=feature, type=categorical_ordinal. ordered=['low', 'med', 'high', 'vhigh'] tags=['condition_candidate', 'subgroup_candidate'] desc=Buying price category.
+- maint: role=feature, type=categorical_ordinal. ordered=['low', 'med', 'high', 'vhigh'] tags=['condition_candidate', 'subgroup_candidate'] desc=Maintenance cost category.
+- doors: role=feature, type=categorical_ordinal_count_like. ordered=['2', '3', '4', '5more'] tags=['condition_candidate', 'subgroup_candidate'] desc=Number of doors (count-like ordinal category).
+- persons: role=feature, type=categorical_ordinal_count_like. ordered=['2', '4', 'more'] tags=['condition_candidate', 'subgroup_candidate'] desc=Passenger capacity category (count-like).
+- lug_boot: role=feature, type=categorical_ordinal. ordered=['small', 'med', 'big'] tags=['condition_candidate', 'subgroup_candidate'] desc=Luggage boot size category.
+- safety: role=feature, type=categorical_ordinal. ordered=['low', 'med', 'high'] tags=['condition_candidate', 'subgroup_candidate'] desc=Safety rating category.
+- class: role=target, type=categorical_ordinal_target. ordered=['unacc', 'acc', 'good', 'vgood'] tags=['target_candidate'] desc=Car acceptability class label.
+- useful_field_combinations: [['safety', 'persons', 'class'], ['buying', 'maint', 'class'], ['lug_boot', 'safety', 'class']]
+- fields_requiring_caution: ['class', 'doors', 'persons']
+- source_url: https://archive.ics.uci.edu/dataset/19/car+evaluation
+
+SQLite schema snapshot:
+{
+  "table_name": "c2",
+  "quoted_table_name": "\"c2\"",
+  "row_count": 1728,
+  "columns": [
+    {
+      "name": "buying",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "maint",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "doors",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "persons",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "lug_boot",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "safety",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "buying": "vhigh",
+      "maint": "vhigh",
+      "doors": "2",
+      "persons": "2",
+      "lug_boot": "small",
+      "safety": "low",
+      "class": "unacc"
+    },
+    {
+      "buying": "vhigh",
+      "maint": "vhigh",
+      "doors": "2",
+      "persons": "2",
+      "lug_boot": "small",
+      "safety": "med",
+      "class": "unacc"
+    },
+    {
+      "buying": "vhigh",
+      "maint": "vhigh",
+      "doors": "2",
+      "persons": "2",
+      "lug_boot": "small",
+      "safety": "high",
+      "class": "unacc"
+    },
+    {
+      "buying": "vhigh",
+      "maint": "vhigh",
+      "doors": "2",
+      "persons": "2",
+      "lug_boot": "med",
+      "safety": "low",
+      "class": "unacc"
+    },
+    {
+      "buying": "vhigh",
+      "maint": "vhigh",
+      "doors": "2",
+      "persons": "2",
+      "lug_boot": "med",
+      "safety": "med",
+      "class": "unacc"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_clickbench_group_distinct_topk",
+    "template_name": "Top-k Groups by Distinct Entity Coverage",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, COUNT(DISTINCT {entity_col}) AS distinct_entities\nFROM {table}\nGROUP BY {group_col}\nORDER BY distinct_entities DESC\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col",
+      "entity_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c2",
+  "question": "Use template Top-k Groups by Distinct Entity Coverage to probe internal_profile_stability with semantic role ranked_signal_view. Focus on group_col=buying.",
+  "planned_template_id": "tpl_clickbench_group_distinct_topk",
+  "bindings": {
+    "group_col": "buying",
+    "entity_col": "buying",
+    "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": 0.0,
+    "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(DISTINCT {entity_col}) AS distinct_entities\nFROM {table}\nGROUP BY {group_col}\nORDER BY distinct_entities DESC\nLIMIT {top_k};"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_0adfb55328c67d56/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40b8-5f29-7590-bee1-ac912b9316dc"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_distinct_topk\\nSELECT \\\"buying\\\", COUNT(DISTINCT \\\"buying\\\") AS \\\"distinct_entities\\\"\\nFROM \\\"c2\\\"\\nGROUP BY \\\"buying\\\"\\nORDER BY \\\"distinct_entities\\\" DESC\\nLIMIT 15;\",\"notes\":\"Applied the provided template with group_col=\\\"buying\\\" and entity_col=\\\"buying\\\" exactly as bound. Because the grouped column and distinct entity column are the same, each group's distinct_entities value will be 1.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13715,"cached_input_tokens":0,"output_tokens":281,"reasoning_output_tokens":166}}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_0adfb55328c67d56/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_clickbench_group_distinct_topk\nSELECT \"buying\", COUNT(DISTINCT \"buying\") AS \"distinct_entities\"\nFROM \"c2\"\nGROUP BY \"buying\"\nORDER BY \"distinct_entities\" DESC\nLIMIT 15;","notes":"Applied the provided template with group_col=\"buying\" and entity_col=\"buying\" exactly as bound. Because the grouped column and distinct entity column are the same, each group's distinct_entities value will be 1."}

Query/sql/v2/runs/v2_cli_20260502_081223_f/c2/artifacts/v2q_c2_10f4b64efb8f00b2/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5655, "bytes_utf8": 5655, "lines": 178, "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": 311, "bytes_utf8": 311, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13698, "cached_input_tokens": 12672, "output_tokens": 318, "reasoning_output_tokens": 223}}