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Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_02ae4f76f7745eed/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6578, "bytes_utf8": 6578, "lines": 208, "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": 540, "bytes_utf8": 540, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13950, "cached_input_tokens": 12672, "output_tokens": 352, "reasoning_output_tokens": 216}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_02ae4f76f7745eed/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": "c7",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c7_02ae4f76f7745eed",
+    "api_calls": 0,
+    "input_tokens": 13950,
+    "cached_input_tokens": 12672,
+    "output_tokens": 352,
+    "total_tokens": 14302,
+    "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": 9145.64,
+    "sql_execution_elapsed_ms_total": 3.01,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_02ae4f76f7745eed/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_02ae4f76f7745eed/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": "2026-05-19T15:54:56.171594+00:00",
+  "ended_at": "2026-05-19T15:55:05.317278+00:00",
+  "elapsed_ms": 9145.64,
+  "prompt_metrics": {
+    "chars": 6578,
+    "bytes_utf8": 6578,
+    "lines": 208,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 912,
+    "bytes_utf8": 912,
+    "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": 540,
+      "bytes_utf8": 540,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13950,
+      "cached_input_tokens": 12672,
+      "output_tokens": 352,
+      "reasoning_output_tokens": 216
+    }
+  },
+  "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_b/c7/artifacts/v2q_c7_02ae4f76f7745eed/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,208 @@
+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: c7
+- dataset_name: C7
+- table_name: c7
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 8 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 12960
+- important_fields:
+- parents: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for parents.
+- has_nurs: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for has nurs.
+- form: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for form.
+- children: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for children.
+- housing: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing.
+- finance: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for finance.
+- social: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for social.
+- health: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for health.
+- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['parents', 'has_nurs', 'class'], ['parents', 'parents', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://www.openml.org/d/26
+
+SQLite schema snapshot:
+{
+  "table_name": "c7",
+  "quoted_table_name": "\"c7\"",
+  "row_count": 12960,
+  "columns": [
+    {
+      "name": "parents",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "has_nurs",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "form",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "children",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "housing",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "finance",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "social",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "health",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "recommended",
+      "class": "recommend"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "priority",
+      "class": "priority"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "not_recom",
+      "class": "not_recom"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "slightly_prob",
+      "health": "recommended",
+      "class": "recommend"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "slightly_prob",
+      "health": "priority",
+      "class": "priority"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_clickbench_filtered_distinct_topk",
+    "template_name": "Filtered Top-k Distinct Coverage",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, COUNT(DISTINCT {entity_col}) AS distinct_entities\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY distinct_entities DESC\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col",
+      "entity_col",
+      "predicate_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c7",
+  "question": "Use template Filtered Top-k Distinct Coverage to probe internal_profile_stability with semantic role filtered_stable_view. Focus on group_col=social.",
+  "planned_template_id": "tpl_clickbench_filtered_distinct_topk",
+  "bindings": {
+    "group_col": "social",
+    "predicate_col": "social",
+    "predicate_op": "=",
+    "predicate_value": "nonprob",
+    "entity_col": "social",
+    "top_k": 12,
+    "top_n": 3,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 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}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY distinct_entities DESC\nLIMIT {top_k};"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_02ae4f76f7745eed/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f2-863f-7b60-941b-05d5ecc5e0d7"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_filtered_distinct_topk\\nSELECT \\\"social\\\", COUNT(DISTINCT \\\"social\\\") AS distinct_entities\\nFROM \\\"c7\\\"\\nWHERE \\\"social\\\" = 'nonprob'\\nGROUP BY \\\"social\\\"\\nORDER BY distinct_entities DESC\\nLIMIT 12;\",\"notes\":\"Used the required template and fixed bindings exactly as provided. Because \\\"group_col\\\", \\\"entity_col\\\", and \\\"predicate_col\\\" are all \\\"social\\\" and the filter is \\\"social\\\" = 'nonprob', this query will return at most one grouped value with a distinct count of 1 when matching rows exist.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13950,"cached_input_tokens":12672,"output_tokens":352,"reasoning_output_tokens":216}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_02ae4f76f7745eed/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_clickbench_filtered_distinct_topk\nSELECT \"social\", COUNT(DISTINCT \"social\") AS distinct_entities\nFROM \"c7\"\nWHERE \"social\" = 'nonprob'\nGROUP BY \"social\"\nORDER BY distinct_entities DESC\nLIMIT 12;","notes":"Used the required template and fixed bindings exactly as provided. Because \"group_col\", \"entity_col\", and \"predicate_col\" are all \"social\" and the filter is \"social\" = 'nonprob', this query will return at most one grouped value with a distinct count of 1 when matching rows exist."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_03967842cb8b6b0b/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6499, "bytes_utf8": 6499, "lines": 207, "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": 530, "bytes_utf8": 530, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13930, "cached_input_tokens": 12672, "output_tokens": 425, "reasoning_output_tokens": 296}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_03967842cb8b6b0b/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": "c7",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c7_03967842cb8b6b0b",
+    "api_calls": 0,
+    "input_tokens": 13930,
+    "cached_input_tokens": 12672,
+    "output_tokens": 425,
+    "total_tokens": 14355,
+    "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": 15603.46,
+    "sql_execution_elapsed_ms_total": 8.33,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_03967842cb8b6b0b/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_03967842cb8b6b0b/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:34:35.088497+00:00",
+  "ended_at": "2026-05-19T15:34:50.692045+00:00",
+  "elapsed_ms": 15603.46,
+  "prompt_metrics": {
+    "chars": 6499,
+    "bytes_utf8": 6499,
+    "lines": 207,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 893,
+    "bytes_utf8": 893,
+    "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": 530,
+      "bytes_utf8": 530,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13930,
+      "cached_input_tokens": 12672,
+      "output_tokens": 425,
+      "reasoning_output_tokens": 296
+    }
+  },
+  "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_b/c7/artifacts/v2q_c7_03967842cb8b6b0b/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,207 @@
+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: c7
+- dataset_name: C7
+- table_name: c7
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 8 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 12960
+- important_fields:
+- parents: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for parents.
+- has_nurs: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for has nurs.
+- form: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for form.
+- children: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for children.
+- housing: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing.
+- finance: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for finance.
+- social: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for social.
+- health: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for health.
+- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['parents', 'has_nurs', 'class'], ['parents', 'parents', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://www.openml.org/d/26
+
+SQLite schema snapshot:
+{
+  "table_name": "c7",
+  "quoted_table_name": "\"c7\"",
+  "row_count": 12960,
+  "columns": [
+    {
+      "name": "parents",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "has_nurs",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "form",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "children",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "housing",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "finance",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "social",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "health",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "recommended",
+      "class": "recommend"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "priority",
+      "class": "priority"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "not_recom",
+      "class": "not_recom"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "slightly_prob",
+      "health": "recommended",
+      "class": "recommend"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "slightly_prob",
+      "health": "priority",
+      "class": "priority"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c7",
+  "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=children, condition_col=children.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "children",
+    "condition_col": "children",
+    "condition_value": "2",
+    "positive_value": "1",
+    "negative_value": "2",
+    "top_k": 15,
+    "top_n": 6,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 0.0,
+    "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       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_03967842cb8b6b0b/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40df-e493-79d2-990b-0f52d72c9259"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"children\\\",\\n       AVG(CASE WHEN \\\"children\\\" = '2' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"c7\\\"\\nGROUP BY \\\"children\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Applied the provided Grouped Condition Rate template with group_col=\\\"children\\\" and condition_col=\\\"children\\\" using condition_value='2'. Because the grouping and condition columns are the same, this measures whether each children group equals '2', yielding a self-condition rate per group.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13930,"cached_input_tokens":12672,"output_tokens":425,"reasoning_output_tokens":296}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_03967842cb8b6b0b/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"children\",\n       AVG(CASE WHEN \"children\" = '2' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"c7\"\nGROUP BY \"children\"\nORDER BY \"condition_rate\" DESC;","notes":"Applied the provided Grouped Condition Rate template with group_col=\"children\" and condition_col=\"children\" using condition_value='2'. Because the grouping and condition columns are the same, this measures whether each children group equals '2', yielding a self-condition rate per group."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_056b629c2c6e1405/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6439, "bytes_utf8": 6439, "lines": 206, "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": 369, "bytes_utf8": 369, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13918, "cached_input_tokens": 12032, "output_tokens": 227, "reasoning_output_tokens": 130}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_056b629c2c6e1405/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": "c7",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c7_056b629c2c6e1405",
+    "api_calls": 0,
+    "input_tokens": 13918,
+    "cached_input_tokens": 12032,
+    "output_tokens": 227,
+    "total_tokens": 14145,
+    "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": 7121.46,
+    "sql_execution_elapsed_ms_total": 3.44,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_056b629c2c6e1405/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_056b629c2c6e1405/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": "2026-05-19T15:51:48.859773+00:00",
+  "ended_at": "2026-05-19T15:51:55.981279+00:00",
+  "elapsed_ms": 7121.46,
+  "prompt_metrics": {
+    "chars": 6439,
+    "bytes_utf8": 6439,
+    "lines": 206,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 725,
+    "bytes_utf8": 725,
+    "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": 369,
+      "bytes_utf8": 369,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13918,
+      "cached_input_tokens": 12032,
+      "output_tokens": 227,
+      "reasoning_output_tokens": 130
+    }
+  },
+  "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_b/c7/artifacts/v2q_c7_056b629c2c6e1405/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,206 @@
+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: c7
+- dataset_name: C7
+- table_name: c7
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 8 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 12960
+- important_fields:
+- parents: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for parents.
+- has_nurs: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for has nurs.
+- form: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for form.
+- children: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for children.
+- housing: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing.
+- finance: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for finance.
+- social: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for social.
+- health: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for health.
+- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['parents', 'has_nurs', 'class'], ['parents', 'parents', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://www.openml.org/d/26
+
+SQLite schema snapshot:
+{
+  "table_name": "c7",
+  "quoted_table_name": "\"c7\"",
+  "row_count": 12960,
+  "columns": [
+    {
+      "name": "parents",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "has_nurs",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "form",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "children",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "housing",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "finance",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "social",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "health",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "recommended",
+      "class": "recommend"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "priority",
+      "class": "priority"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "not_recom",
+      "class": "not_recom"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "slightly_prob",
+      "health": "recommended",
+      "class": "recommend"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "slightly_prob",
+      "health": "priority",
+      "class": "priority"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_clickbench_filtered_topk_group_count",
+    "template_name": "Filtered Top-k Group Count",
+    "primary_family": "subgroup_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col",
+      "predicate_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c7",
+  "question": "Use template Filtered Top-k Group Count to probe subgroup_size_stability with semantic role filtered_stable_view. Focus on group_col=children.",
+  "planned_template_id": "tpl_clickbench_filtered_topk_group_count",
+  "bindings": {
+    "group_col": "children",
+    "predicate_col": "children",
+    "predicate_op": "=",
+    "predicate_value": "more",
+    "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 {group_col}, COUNT(*) AS support\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY support DESC\nLIMIT {top_k};"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_056b629c2c6e1405/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40ef-aa96-7d23-a3e6-273278341fc8"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_filtered_topk_group_count\\nSELECT \\\"children\\\", COUNT(*) AS support\\nFROM \\\"c7\\\"\\nWHERE \\\"children\\\" = 'more'\\nGROUP BY \\\"children\\\"\\nORDER BY support DESC\\nLIMIT 11;\",\"notes\":\"Applied the provided Filtered Top-k Group Count template with group_col=\\\"children\\\", predicate_col=\\\"children\\\", predicate_value='more', and top_k=11.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13918,"cached_input_tokens":12032,"output_tokens":227,"reasoning_output_tokens":130}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_056b629c2c6e1405/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_clickbench_filtered_topk_group_count\nSELECT \"children\", COUNT(*) AS support\nFROM \"c7\"\nWHERE \"children\" = 'more'\nGROUP BY \"children\"\nORDER BY support DESC\nLIMIT 11;","notes":"Applied the provided Filtered Top-k Group Count template with group_col=\"children\", predicate_col=\"children\", predicate_value='more', and top_k=11."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_072a99e789da2a61/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6239, "bytes_utf8": 6239, "lines": 202, "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": 347, "bytes_utf8": 347, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13879, "cached_input_tokens": 12672, "output_tokens": 197, "reasoning_output_tokens": 101}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_072a99e789da2a61/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": "c7",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c7_072a99e789da2a61",
+    "api_calls": 0,
+    "input_tokens": 13879,
+    "cached_input_tokens": 12672,
+    "output_tokens": 197,
+    "total_tokens": 14076,
+    "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": 6930.01,
+    "sql_execution_elapsed_ms_total": 4.72,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_072a99e789da2a61/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_072a99e789da2a61/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": "2026-05-19T15:41:19.419262+00:00",
+  "ended_at": "2026-05-19T15:41:26.349295+00:00",
+  "elapsed_ms": 6930.01,
+  "prompt_metrics": {
+    "chars": 6239,
+    "bytes_utf8": 6239,
+    "lines": 202,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 704,
+    "bytes_utf8": 704,
+    "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": 347,
+      "bytes_utf8": 347,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13879,
+      "cached_input_tokens": 12672,
+      "output_tokens": 197,
+      "reasoning_output_tokens": 101
+    }
+  },
+  "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_b/c7/artifacts/v2q_c7_072a99e789da2a61/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,202 @@
+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: c7
+- dataset_name: C7
+- table_name: c7
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 8 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 12960
+- important_fields:
+- parents: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for parents.
+- has_nurs: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for has nurs.
+- form: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for form.
+- children: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for children.
+- housing: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing.
+- finance: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for finance.
+- social: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for social.
+- health: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for health.
+- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['parents', 'has_nurs', 'class'], ['parents', 'parents', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://www.openml.org/d/26
+
+SQLite schema snapshot:
+{
+  "table_name": "c7",
+  "quoted_table_name": "\"c7\"",
+  "row_count": 12960,
+  "columns": [
+    {
+      "name": "parents",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "has_nurs",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "form",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "children",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "housing",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "finance",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "social",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "health",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "recommended",
+      "class": "recommend"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "priority",
+      "class": "priority"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "not_recom",
+      "class": "not_recom"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "slightly_prob",
+      "health": "recommended",
+      "class": "recommend"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "slightly_prob",
+      "health": "priority",
+      "class": "priority"
+    }
+  ]
+}
+
+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": "c7",
+  "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=housing.",
+  "planned_template_id": "tpl_tail_low_support_group_count_v2",
+  "bindings": {
+    "group_col": "housing",
+    "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": 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_b/c7/artifacts/v2q_c7_072a99e789da2a61/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e6-0fbf-7e03-b6de-14fa1223bd72"}
+{"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    \\\"housing\\\",\\n    COUNT(*) AS \\\"support\\\"\\nFROM \\\"c7\\\"\\nGROUP BY \\\"housing\\\"\\nORDER BY \\\"support\\\" ASC, \\\"housing\\\"\\nLIMIT 12;\",\"notes\":\"Applies the Low-Support Group Count template with group_col bound to housing and top_k=12 to surface the lowest-support housing groups.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13879,"cached_input_tokens":12672,"output_tokens":197,"reasoning_output_tokens":101}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_072a99e789da2a61/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n    \"housing\",\n    COUNT(*) AS \"support\"\nFROM \"c7\"\nGROUP BY \"housing\"\nORDER BY \"support\" ASC, \"housing\"\nLIMIT 12;","notes":"Applies the Low-Support Group Count template with group_col bound to housing and top_k=12 to surface the lowest-support housing groups."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_073eb368986f1940/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6239, "bytes_utf8": 6239, "lines": 202, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 327, "bytes_utf8": 327, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13881, "cached_input_tokens": 12672, "output_tokens": 175, "reasoning_output_tokens": 84}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_073eb368986f1940/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": "c7",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c7_073eb368986f1940",
+    "api_calls": 0,
+    "input_tokens": 13881,
+    "cached_input_tokens": 12672,
+    "output_tokens": 175,
+    "total_tokens": 14056,
+    "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": 6556.26,
+    "sql_execution_elapsed_ms_total": 4.29,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_073eb368986f1940/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_073eb368986f1940/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": "2026-05-19T15:39:26.035967+00:00",
+  "ended_at": "2026-05-19T15:39:32.592252+00:00",
+  "elapsed_ms": 6556.26,
+  "prompt_metrics": {
+    "chars": 6239,
+    "bytes_utf8": 6239,
+    "lines": 202,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 679,
+    "bytes_utf8": 679,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 327,
+      "bytes_utf8": 327,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13881,
+      "cached_input_tokens": 12672,
+      "output_tokens": 175,
+      "reasoning_output_tokens": 84
+    }
+  },
+  "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_b/c7/artifacts/v2q_c7_073eb368986f1940/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,202 @@
+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: c7
+- dataset_name: C7
+- table_name: c7
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 8 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 12960
+- important_fields:
+- parents: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for parents.
+- has_nurs: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for has nurs.
+- form: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for form.
+- children: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for children.
+- housing: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing.
+- finance: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for finance.
+- social: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for social.
+- health: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for health.
+- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['parents', 'has_nurs', 'class'], ['parents', 'parents', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://www.openml.org/d/26
+
+SQLite schema snapshot:
+{
+  "table_name": "c7",
+  "quoted_table_name": "\"c7\"",
+  "row_count": 12960,
+  "columns": [
+    {
+      "name": "parents",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "has_nurs",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "form",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "children",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "housing",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "finance",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "social",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "health",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "recommended",
+      "class": "recommend"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "priority",
+      "class": "priority"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "not_recom",
+      "class": "not_recom"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "slightly_prob",
+      "health": "recommended",
+      "class": "recommend"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "slightly_prob",
+      "health": "priority",
+      "class": "priority"
+    }
+  ]
+}
+
+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": "c7",
+  "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=health.",
+  "planned_template_id": "tpl_tail_low_support_group_count_v2",
+  "bindings": {
+    "group_col": "health",
+    "top_k": 16,
+    "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": 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_b/c7/artifacts/v2q_c7_073eb368986f1940/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e4-54cd-7e61-9587-7ad1c6133233"}
+{"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    \\\"health\\\",\\n    COUNT(*) AS support\\nFROM \\\"c7\\\"\\nGROUP BY \\\"health\\\"\\nORDER BY support ASC, \\\"health\\\"\\nLIMIT 16;\",\"notes\":\"Applied Low-Support Group Count with group_col bound to \\\"health\\\" and top_k=16 to list the least-supported health categories.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13881,"cached_input_tokens":12672,"output_tokens":175,"reasoning_output_tokens":84}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_073eb368986f1940/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n    \"health\",\n    COUNT(*) AS support\nFROM \"c7\"\nGROUP BY \"health\"\nORDER BY support ASC, \"health\"\nLIMIT 16;","notes":"Applied Low-Support Group Count with group_col bound to \"health\" and top_k=16 to list the least-supported health categories."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_0e61ac514c7b928e/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6516, "bytes_utf8": 6516, "lines": 207, "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": 375, "bytes_utf8": 375, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13934, "cached_input_tokens": 12032, "output_tokens": 486, "reasoning_output_tokens": 382}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_0e61ac514c7b928e/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": "c7",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c7_0e61ac514c7b928e",
+    "api_calls": 0,
+    "input_tokens": 13934,
+    "cached_input_tokens": 12032,
+    "output_tokens": 486,
+    "total_tokens": 14420,
+    "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": 12982.24,
+    "sql_execution_elapsed_ms_total": 10.05,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_0e61ac514c7b928e/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_0e61ac514c7b928e/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": "2026-05-19T15:31:47.699970+00:00",
+  "ended_at": "2026-05-19T15:32:00.682249+00:00",
+  "elapsed_ms": 12982.24,
+  "prompt_metrics": {
+    "chars": 6516,
+    "bytes_utf8": 6516,
+    "lines": 207,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 738,
+    "bytes_utf8": 738,
+    "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": 375,
+      "bytes_utf8": 375,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13934,
+      "cached_input_tokens": 12032,
+      "output_tokens": 486,
+      "reasoning_output_tokens": 382
+    }
+  },
+  "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_b/c7/artifacts/v2q_c7_0e61ac514c7b928e/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,207 @@
+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: c7
+- dataset_name: C7
+- table_name: c7
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 8 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 12960
+- important_fields:
+- parents: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for parents.
+- has_nurs: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for has nurs.
+- form: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for form.
+- children: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for children.
+- housing: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing.
+- finance: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for finance.
+- social: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for social.
+- health: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for health.
+- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['parents', 'has_nurs', 'class'], ['parents', 'parents', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://www.openml.org/d/26
+
+SQLite schema snapshot:
+{
+  "table_name": "c7",
+  "quoted_table_name": "\"c7\"",
+  "row_count": 12960,
+  "columns": [
+    {
+      "name": "parents",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "has_nurs",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "form",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "children",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "housing",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "finance",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "social",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "health",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "recommended",
+      "class": "recommend"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "priority",
+      "class": "priority"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "not_recom",
+      "class": "not_recom"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "slightly_prob",
+      "health": "recommended",
+      "class": "recommend"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "slightly_prob",
+      "health": "priority",
+      "class": "priority"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c7",
+  "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=social, condition_col=social.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "social",
+    "condition_col": "social",
+    "condition_value": "nonprob",
+    "positive_value": "nonprob",
+    "negative_value": "problematic",
+    "top_k": 14,
+    "top_n": 3,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 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},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_0e61ac514c7b928e/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40dd-5669-7100-bb74-83d5e8018a04"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"social\\\",\\n       AVG(CASE WHEN \\\"social\\\" = 'nonprob' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"c7\\\"\\nGROUP BY \\\"social\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Applied the Grouped Condition Rate template exactly as bound: group_col=\\\"social\\\", condition_col=\\\"social\\\", condition_value='nonprob'.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13934,"cached_input_tokens":12032,"output_tokens":486,"reasoning_output_tokens":382}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_0e61ac514c7b928e/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"social\",\n       AVG(CASE WHEN \"social\" = 'nonprob' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"c7\"\nGROUP BY \"social\"\nORDER BY \"condition_rate\" DESC;","notes":"Applied the Grouped Condition Rate template exactly as bound: group_col=\"social\", condition_col=\"social\", condition_value='nonprob'."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_189816d0ee3318b4/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:55:34.560973+00:00",
+  "ended_at": "2026-05-19T15:55:38.803083+00:00",
+  "elapsed_ms": 4242.04,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6570,
+    "bytes_utf8": 6570,
+    "lines": 208,
+    "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_b/c7/artifacts/v2q_c7_189816d0ee3318b4/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": "2026-05-19T15:55:39.805852+00:00",
+  "ended_at": "2026-05-19T15:55:43.307525+00:00",
+  "elapsed_ms": 3501.62,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6570,
+    "bytes_utf8": 6570,
+    "lines": 208,
+    "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_b/c7/artifacts/v2q_c7_189816d0ee3318b4/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,208 @@
+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: c7
+- dataset_name: C7
+- table_name: c7
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 8 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 12960
+- important_fields:
+- parents: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for parents.
+- has_nurs: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for has nurs.
+- form: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for form.
+- children: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for children.
+- housing: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing.
+- finance: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for finance.
+- social: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for social.
+- health: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for health.
+- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['parents', 'has_nurs', 'class'], ['parents', 'parents', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://www.openml.org/d/26
+
+SQLite schema snapshot:
+{
+  "table_name": "c7",
+  "quoted_table_name": "\"c7\"",
+  "row_count": 12960,
+  "columns": [
+    {
+      "name": "parents",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "has_nurs",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "form",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "children",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "housing",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "finance",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "social",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "health",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "recommended",
+      "class": "recommend"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "priority",
+      "class": "priority"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "not_recom",
+      "class": "not_recom"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "slightly_prob",
+      "health": "recommended",
+      "class": "recommend"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "slightly_prob",
+      "health": "priority",
+      "class": "priority"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_clickbench_filtered_distinct_topk",
+    "template_name": "Filtered Top-k Distinct Coverage",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, COUNT(DISTINCT {entity_col}) AS distinct_entities\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY distinct_entities DESC\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col",
+      "entity_col",
+      "predicate_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c7",
+  "question": "Use template Filtered Top-k Distinct Coverage to probe internal_profile_stability with semantic role ranked_signal_view. Focus on group_col=class.",
+  "planned_template_id": "tpl_clickbench_filtered_distinct_topk",
+  "bindings": {
+    "group_col": "class",
+    "predicate_col": "children",
+    "predicate_op": "=",
+    "predicate_value": "3",
+    "entity_col": "class",
+    "top_k": 19,
+    "top_n": 6,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 0.0,
+    "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}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY distinct_entities DESC\nLIMIT {top_k};"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_189816d0ee3318b4/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,208 @@
+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: c7
+- dataset_name: C7
+- table_name: c7
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 8 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 12960
+- important_fields:
+- parents: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for parents.
+- has_nurs: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for has nurs.
+- form: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for form.
+- children: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for children.
+- housing: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing.
+- finance: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for finance.
+- social: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for social.
+- health: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for health.
+- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['parents', 'has_nurs', 'class'], ['parents', 'parents', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://www.openml.org/d/26
+
+SQLite schema snapshot:
+{
+  "table_name": "c7",
+  "quoted_table_name": "\"c7\"",
+  "row_count": 12960,
+  "columns": [
+    {
+      "name": "parents",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "has_nurs",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "form",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "children",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "housing",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "finance",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "social",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "health",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "recommended",
+      "class": "recommend"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "priority",
+      "class": "priority"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "not_recom",
+      "class": "not_recom"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "slightly_prob",
+      "health": "recommended",
+      "class": "recommend"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "slightly_prob",
+      "health": "priority",
+      "class": "priority"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_clickbench_filtered_distinct_topk",
+    "template_name": "Filtered Top-k Distinct Coverage",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, COUNT(DISTINCT {entity_col}) AS distinct_entities\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY distinct_entities DESC\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col",
+      "entity_col",
+      "predicate_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c7",
+  "question": "Use template Filtered Top-k Distinct Coverage to probe internal_profile_stability with semantic role ranked_signal_view. Focus on group_col=class.",
+  "planned_template_id": "tpl_clickbench_filtered_distinct_topk",
+  "bindings": {
+    "group_col": "class",
+    "predicate_col": "children",
+    "predicate_op": "=",
+    "predicate_value": "3",
+    "entity_col": "class",
+    "top_k": 19,
+    "top_n": 6,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 0.0,
+    "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}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}\nORDER BY distinct_entities DESC\nLIMIT {top_k};"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_189816d0ee3318b4/cli/sql_response_attempt_1.raw.txt

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

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_189816d0ee3318b4/cli/sql_response_attempt_1.txt

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

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_189816d0ee3318b4/cli/sql_response_attempt_2.raw.txt

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

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_189816d0ee3318b4/cli/sql_response_attempt_2.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f3-30ac-7242-baec-079a84428209"}
+{"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."}}