Add files using upload-large-folder tool

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0218be838c624cd4/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7934, "bytes_utf8": 7934, "lines": 219, "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": 677, "bytes_utf8": 677, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14431, "cached_input_tokens": 13696, "output_tokens": 507, "reasoning_output_tokens": 302}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0218be838c624cd4/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": "c9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c9_0218be838c624cd4",
+    "api_calls": 0,
+    "input_tokens": 14431,
+    "cached_input_tokens": 13696,
+    "output_tokens": 507,
+    "total_tokens": 14938,
+    "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": 13950.58,
+    "sql_execution_elapsed_ms_total": 37.12,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0218be838c624cd4/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0218be838c624cd4/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": "2026-05-19T15:40:18.192674+00:00",
+  "ended_at": "2026-05-19T15:40:32.143297+00:00",
+  "elapsed_ms": 13950.58,
+  "prompt_metrics": {
+    "chars": 7934,
+    "bytes_utf8": 7934,
+    "lines": 219,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1040,
+    "bytes_utf8": 1040,
+    "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": 677,
+      "bytes_utf8": 677,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14431,
+      "cached_input_tokens": 13696,
+      "output_tokens": 507,
+      "reasoning_output_tokens": 302
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0218be838c624cd4/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,219 @@
+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: c9
+- dataset_name: Amazon Employee Access Challenge
+- table_name: c9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`.
+- task_type: regression
+- target_column: ROLE_FAMILY
+- main_row_count: 32769
+- important_fields:
+- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION.
+- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE.
+- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID.
+- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1.
+- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2.
+- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME.
+- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE.
+- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC.
+- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY.
+- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE.
+- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']]
+- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE']
+- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge
+
+SQLite schema snapshot:
+{
+  "table_name": "c9",
+  "quoted_table_name": "\"c9\"",
+  "row_count": 32769,
+  "columns": [
+    {
+      "name": "ACTION",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "RESOURCE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "MGR_ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_ROLLUP_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_ROLLUP_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_DEPTNAME",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_TITLE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_FAMILY_DESC",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_FAMILY",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_CODE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "ACTION": "1",
+      "RESOURCE": "39353",
+      "MGR_ID": "85475",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118300",
+      "ROLE_DEPTNAME": "123472",
+      "ROLE_TITLE": "117905",
+      "ROLE_FAMILY_DESC": "117906",
+      "ROLE_FAMILY": "290919",
+      "ROLE_CODE": "117908"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "17183",
+      "MGR_ID": "1540",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118343",
+      "ROLE_DEPTNAME": "123125",
+      "ROLE_TITLE": "118536",
+      "ROLE_FAMILY_DESC": "118536",
+      "ROLE_FAMILY": "308574",
+      "ROLE_CODE": "118539"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "36724",
+      "MGR_ID": "14457",
+      "ROLE_ROLLUP_1": "118219",
+      "ROLE_ROLLUP_2": "118220",
+      "ROLE_DEPTNAME": "117884",
+      "ROLE_TITLE": "117879",
+      "ROLE_FAMILY_DESC": "267952",
+      "ROLE_FAMILY": "19721",
+      "ROLE_CODE": "117880"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "36135",
+      "MGR_ID": "5396",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118343",
+      "ROLE_DEPTNAME": "119993",
+      "ROLE_TITLE": "118321",
+      "ROLE_FAMILY_DESC": "240983",
+      "ROLE_FAMILY": "290919",
+      "ROLE_CODE": "118322"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "42680",
+      "MGR_ID": "5905",
+      "ROLE_ROLLUP_1": "117929",
+      "ROLE_ROLLUP_2": "117930",
+      "ROLE_DEPTNAME": "119569",
+      "ROLE_TITLE": "119323",
+      "ROLE_FAMILY_DESC": "123932",
+      "ROLE_FAMILY": "19793",
+      "ROLE_CODE": "119325"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_ratio_two_conditions",
+    "template_name": "Grouped Ratio of Two Conditions",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c9",
+  "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=ROLE_ROLLUP_1, condition_col=ACTION.",
+  "planned_template_id": "tpl_m4_group_ratio_two_conditions",
+  "bindings": {
+    "group_col": "ROLE_ROLLUP_1",
+    "condition_col": "ACTION",
+    "condition_value": "1",
+    "positive_value": "1",
+    "negative_value": "0",
+    "top_k": 12,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 120006.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0218be838c624cd4/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e5-20ab-7d92-b2b8-fa6499c0dcde"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n    SELECT\\n        \\\"ROLE_ROLLUP_1\\\",\\n        SUM(CASE WHEN \\\"ACTION\\\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\\n        SUM(CASE WHEN \\\"ACTION\\\" = '0' THEN 1 ELSE 0 END) AS denominator_count\\n    FROM \\\"c9\\\"\\n    GROUP BY \\\"ROLE_ROLLUP_1\\\"\\n)\\nSELECT\\n    \\\"ROLE_ROLLUP_1\\\",\\n    CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Computes, for each ROLE_ROLLUP_1 group, the ratio of rows with ACTION='1' to rows with ACTION='0'. Uses NULLIF to avoid division by zero when a group has no ACTION='0' rows.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14431,"cached_input_tokens":13696,"output_tokens":507,"reasoning_output_tokens":302}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0218be838c624cd4/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n    SELECT\n        \"ROLE_ROLLUP_1\",\n        SUM(CASE WHEN \"ACTION\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\n        SUM(CASE WHEN \"ACTION\" = '0' THEN 1 ELSE 0 END) AS denominator_count\n    FROM \"c9\"\n    GROUP BY \"ROLE_ROLLUP_1\"\n)\nSELECT\n    \"ROLE_ROLLUP_1\",\n    CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Computes, for each ROLE_ROLLUP_1 group, the ratio of rows with ACTION='1' to rows with ACTION='0'. Uses NULLIF to avoid division by zero when a group has no ACTION='0' rows."}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_02c33d9132bcb8e6/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7314, "bytes_utf8": 7314, "lines": 216, "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": 2021, "bytes_utf8": 2021, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14258, "cached_input_tokens": 12032, "output_tokens": 2750, "reasoning_output_tokens": 2064}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_02c33d9132bcb8e6/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": "c9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c9_02c33d9132bcb8e6",
+    "api_calls": 0,
+    "input_tokens": 14258,
+    "cached_input_tokens": 12032,
+    "output_tokens": 2750,
+    "total_tokens": 17008,
+    "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": 37319.57,
+    "sql_execution_elapsed_ms_total": 119.8,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_02c33d9132bcb8e6/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_02c33d9132bcb8e6/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:00:24.529978+00:00",
+  "ended_at": "2026-05-19T16:01:01.849589+00:00",
+  "elapsed_ms": 37319.57,
+  "prompt_metrics": {
+    "chars": 7314,
+    "bytes_utf8": 7314,
+    "lines": 216,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 2687,
+    "bytes_utf8": 2687,
+    "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": 2021,
+      "bytes_utf8": 2021,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14258,
+      "cached_input_tokens": 12032,
+      "output_tokens": 2750,
+      "reasoning_output_tokens": 2064
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_02c33d9132bcb8e6/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,216 @@
+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: c9
+- dataset_name: Amazon Employee Access Challenge
+- table_name: c9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`.
+- task_type: regression
+- target_column: ROLE_FAMILY
+- main_row_count: 32769
+- important_fields:
+- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION.
+- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE.
+- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID.
+- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1.
+- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2.
+- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME.
+- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE.
+- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC.
+- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY.
+- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE.
+- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']]
+- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE']
+- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge
+
+SQLite schema snapshot:
+{
+  "table_name": "c9",
+  "quoted_table_name": "\"c9\"",
+  "row_count": 32769,
+  "columns": [
+    {
+      "name": "ACTION",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "RESOURCE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "MGR_ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_ROLLUP_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_ROLLUP_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_DEPTNAME",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_TITLE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_FAMILY_DESC",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_FAMILY",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_CODE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "ACTION": "1",
+      "RESOURCE": "39353",
+      "MGR_ID": "85475",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118300",
+      "ROLE_DEPTNAME": "123472",
+      "ROLE_TITLE": "117905",
+      "ROLE_FAMILY_DESC": "117906",
+      "ROLE_FAMILY": "290919",
+      "ROLE_CODE": "117908"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "17183",
+      "MGR_ID": "1540",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118343",
+      "ROLE_DEPTNAME": "123125",
+      "ROLE_TITLE": "118536",
+      "ROLE_FAMILY_DESC": "118536",
+      "ROLE_FAMILY": "308574",
+      "ROLE_CODE": "118539"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "36724",
+      "MGR_ID": "14457",
+      "ROLE_ROLLUP_1": "118219",
+      "ROLE_ROLLUP_2": "118220",
+      "ROLE_DEPTNAME": "117884",
+      "ROLE_TITLE": "117879",
+      "ROLE_FAMILY_DESC": "267952",
+      "ROLE_FAMILY": "19721",
+      "ROLE_CODE": "117880"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "36135",
+      "MGR_ID": "5396",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118343",
+      "ROLE_DEPTNAME": "119993",
+      "ROLE_TITLE": "118321",
+      "ROLE_FAMILY_DESC": "240983",
+      "ROLE_FAMILY": "290919",
+      "ROLE_CODE": "118322"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "42680",
+      "MGR_ID": "5905",
+      "ROLE_ROLLUP_1": "117929",
+      "ROLE_ROLLUP_2": "117930",
+      "ROLE_DEPTNAME": "119569",
+      "ROLE_TITLE": "119323",
+      "ROLE_FAMILY_DESC": "123932",
+      "ROLE_FAMILY": "19793",
+      "ROLE_CODE": "119325"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c9",
+  "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=ROLE_DEPTNAME, measure_col=ROLE_TITLE.",
+  "planned_template_id": "tpl_grouped_percentile_point",
+  "bindings": {
+    "group_col": "ROLE_DEPTNAME",
+    "measure_col": "ROLE_TITLE",
+    "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": 120006.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_02c33d9132bcb8e6/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f7-88ce-7a00-ba96-a25ecc362712"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n  SELECT\\n    \\\"ROLE_DEPTNAME\\\" AS \\\"group_col\\\",\\n    CAST(\\\"ROLE_TITLE\\\" AS REAL) AS \\\"measure_val\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY \\\"ROLE_DEPTNAME\\\"\\n      ORDER BY CAST(\\\"ROLE_TITLE\\\" AS REAL)\\n    ) AS \\\"rn\\\",\\n    COUNT(*) OVER (\\n      PARTITION BY \\\"ROLE_DEPTNAME\\\"\\n    ) AS \\\"cnt\\\"\\n  FROM \\\"c9\\\"\\n  WHERE \\\"ROLE_DEPTNAME\\\" IS NOT NULL\\n    AND \\\"ROLE_TITLE\\\" IS NOT NULL\\n),\\n\\\"group_stats\\\" AS (\\n  SELECT DISTINCT\\n    \\\"group_col\\\",\\n    \\\"cnt\\\",\\n    (0.9 * (\\\"cnt\\\" - 1) + 1.0) AS \\\"p\\\",\\n    CAST((0.9 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER) AS \\\"lo_rn\\\",\\n    CASE\\n      WHEN (0.9 * (\\\"cnt\\\" - 1) + 1.0) = CAST((0.9 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER) THEN CAST((0.9 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER)\\n      ELSE CAST((0.9 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER) + 1\\n    END AS \\\"hi_rn\\\"\\n  FROM \\\"ranked\\\"\\n  WHERE \\\"cnt\\\" >= 5\\n),\\n\\\"picked\\\" AS (\\n  SELECT\\n    \\\"group_stats\\\".\\\"group_col\\\",\\n    \\\"group_stats\\\".\\\"p\\\",\\n    MAX(CASE WHEN \\\"ranked\\\".\\\"rn\\\" = \\\"group_stats\\\".\\\"lo_rn\\\" THEN \\\"ranked\\\".\\\"measure_val\\\" END) AS \\\"lo_val\\\",\\n    MAX(CASE WHEN \\\"ranked\\\".\\\"rn\\\" = \\\"group_stats\\\".\\\"hi_rn\\\" THEN \\\"ranked\\\".\\\"measure_val\\\" END) AS \\\"hi_val\\\"\\n  FROM \\\"group_stats\\\"\\n  JOIN \\\"ranked\\\"\\n    ON \\\"ranked\\\".\\\"group_col\\\" = \\\"group_stats\\\".\\\"group_col\\\"\\n  GROUP BY\\n    \\\"group_stats\\\".\\\"group_col\\\",\\n    \\\"group_stats\\\".\\\"p\\\"\\n)\\nSELECT\\n  \\\"group_col\\\" AS \\\"ROLE_DEPTNAME\\\",\\n  CASE\\n    WHEN \\\"lo_val\\\" IS NULL THEN NULL\\n    WHEN \\\"hi_val\\\" IS NULL THEN \\\"lo_val\\\"\\n    ELSE \\\"lo_val\\\" + (\\\"p\\\" - CAST(\\\"p\\\" AS INTEGER)) * (\\\"hi_val\\\" - \\\"lo_val\\\")\\n  END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"ROLE_DEPTNAME\\\";\",\"notes\":\"SQLite-compatible emulation of PERCENTILE_CONT(0.9) using window functions and linear interpolation over CAST(\\\"ROLE_TITLE\\\" AS REAL), grouped by \\\"ROLE_DEPTNAME\\\" and limited to groups with at least 5 rows from the provided bindings.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14258,"cached_input_tokens":12032,"output_tokens":2750,"reasoning_output_tokens":2064}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_02c33d9132bcb8e6/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n  SELECT\n    \"ROLE_DEPTNAME\" AS \"group_col\",\n    CAST(\"ROLE_TITLE\" AS REAL) AS \"measure_val\",\n    ROW_NUMBER() OVER (\n      PARTITION BY \"ROLE_DEPTNAME\"\n      ORDER BY CAST(\"ROLE_TITLE\" AS REAL)\n    ) AS \"rn\",\n    COUNT(*) OVER (\n      PARTITION BY \"ROLE_DEPTNAME\"\n    ) AS \"cnt\"\n  FROM \"c9\"\n  WHERE \"ROLE_DEPTNAME\" IS NOT NULL\n    AND \"ROLE_TITLE\" IS NOT NULL\n),\n\"group_stats\" AS (\n  SELECT DISTINCT\n    \"group_col\",\n    \"cnt\",\n    (0.9 * (\"cnt\" - 1) + 1.0) AS \"p\",\n    CAST((0.9 * (\"cnt\" - 1) + 1.0) AS INTEGER) AS \"lo_rn\",\n    CASE\n      WHEN (0.9 * (\"cnt\" - 1) + 1.0) = CAST((0.9 * (\"cnt\" - 1) + 1.0) AS INTEGER) THEN CAST((0.9 * (\"cnt\" - 1) + 1.0) AS INTEGER)\n      ELSE CAST((0.9 * (\"cnt\" - 1) + 1.0) AS INTEGER) + 1\n    END AS \"hi_rn\"\n  FROM \"ranked\"\n  WHERE \"cnt\" >= 5\n),\n\"picked\" AS (\n  SELECT\n    \"group_stats\".\"group_col\",\n    \"group_stats\".\"p\",\n    MAX(CASE WHEN \"ranked\".\"rn\" = \"group_stats\".\"lo_rn\" THEN \"ranked\".\"measure_val\" END) AS \"lo_val\",\n    MAX(CASE WHEN \"ranked\".\"rn\" = \"group_stats\".\"hi_rn\" THEN \"ranked\".\"measure_val\" END) AS \"hi_val\"\n  FROM \"group_stats\"\n  JOIN \"ranked\"\n    ON \"ranked\".\"group_col\" = \"group_stats\".\"group_col\"\n  GROUP BY\n    \"group_stats\".\"group_col\",\n    \"group_stats\".\"p\"\n)\nSELECT\n  \"group_col\" AS \"ROLE_DEPTNAME\",\n  CASE\n    WHEN \"lo_val\" IS NULL THEN NULL\n    WHEN \"hi_val\" IS NULL THEN \"lo_val\"\n    ELSE \"lo_val\" + (\"p\" - CAST(\"p\" AS INTEGER)) * (\"hi_val\" - \"lo_val\")\n  END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC, \"ROLE_DEPTNAME\";","notes":"SQLite-compatible emulation of PERCENTILE_CONT(0.9) using window functions and linear interpolation over CAST(\"ROLE_TITLE\" AS REAL), grouped by \"ROLE_DEPTNAME\" and limited to groups with at least 5 rows from the provided bindings."}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_04dea3b833db58f1/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7404, "bytes_utf8": 7404, "lines": 219, "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": 392, "bytes_utf8": 392, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14291, "cached_input_tokens": 12032, "output_tokens": 402, "reasoning_output_tokens": 284}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_04dea3b833db58f1/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": "c9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c9_04dea3b833db58f1",
+    "api_calls": 0,
+    "input_tokens": 14291,
+    "cached_input_tokens": 12032,
+    "output_tokens": 402,
+    "total_tokens": 14693,
+    "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": 9691.58,
+    "sql_execution_elapsed_ms_total": 38.79,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_04dea3b833db58f1/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_04dea3b833db58f1/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:02:53.546796+00:00",
+  "ended_at": "2026-05-19T16:03:03.238408+00:00",
+  "elapsed_ms": 9691.58,
+  "prompt_metrics": {
+    "chars": 7404,
+    "bytes_utf8": 7404,
+    "lines": 219,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 747,
+    "bytes_utf8": 747,
+    "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": 392,
+      "bytes_utf8": 392,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14291,
+      "cached_input_tokens": 12032,
+      "output_tokens": 402,
+      "reasoning_output_tokens": 284
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_04dea3b833db58f1/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,219 @@
+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: c9
+- dataset_name: Amazon Employee Access Challenge
+- table_name: c9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`.
+- task_type: regression
+- target_column: ROLE_FAMILY
+- main_row_count: 32769
+- important_fields:
+- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION.
+- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE.
+- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID.
+- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1.
+- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2.
+- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME.
+- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE.
+- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC.
+- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY.
+- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE.
+- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']]
+- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE']
+- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge
+
+SQLite schema snapshot:
+{
+  "table_name": "c9",
+  "quoted_table_name": "\"c9\"",
+  "row_count": 32769,
+  "columns": [
+    {
+      "name": "ACTION",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "RESOURCE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "MGR_ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_ROLLUP_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_ROLLUP_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_DEPTNAME",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_TITLE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_FAMILY_DESC",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_FAMILY",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_CODE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "ACTION": "1",
+      "RESOURCE": "39353",
+      "MGR_ID": "85475",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118300",
+      "ROLE_DEPTNAME": "123472",
+      "ROLE_TITLE": "117905",
+      "ROLE_FAMILY_DESC": "117906",
+      "ROLE_FAMILY": "290919",
+      "ROLE_CODE": "117908"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "17183",
+      "MGR_ID": "1540",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118343",
+      "ROLE_DEPTNAME": "123125",
+      "ROLE_TITLE": "118536",
+      "ROLE_FAMILY_DESC": "118536",
+      "ROLE_FAMILY": "308574",
+      "ROLE_CODE": "118539"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "36724",
+      "MGR_ID": "14457",
+      "ROLE_ROLLUP_1": "118219",
+      "ROLE_ROLLUP_2": "118220",
+      "ROLE_DEPTNAME": "117884",
+      "ROLE_TITLE": "117879",
+      "ROLE_FAMILY_DESC": "267952",
+      "ROLE_FAMILY": "19721",
+      "ROLE_CODE": "117880"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "36135",
+      "MGR_ID": "5396",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118343",
+      "ROLE_DEPTNAME": "119993",
+      "ROLE_TITLE": "118321",
+      "ROLE_FAMILY_DESC": "240983",
+      "ROLE_FAMILY": "290919",
+      "ROLE_CODE": "118322"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "42680",
+      "MGR_ID": "5905",
+      "ROLE_ROLLUP_1": "117929",
+      "ROLE_ROLLUP_2": "117930",
+      "ROLE_DEPTNAME": "119569",
+      "ROLE_TITLE": "119323",
+      "ROLE_FAMILY_DESC": "123932",
+      "ROLE_FAMILY": "19793",
+      "ROLE_CODE": "119325"
+    }
+  ]
+}
+
+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": "c9",
+  "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=ROLE_ROLLUP_2, condition_col=ROLE_FAMILY.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "ROLE_ROLLUP_2",
+    "condition_col": "ROLE_FAMILY",
+    "condition_value": "290919",
+    "positive_value": "290919",
+    "negative_value": "118424",
+    "top_k": 13,
+    "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": 117961.0,
+    "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_c/c9/artifacts/v2q_c9_04dea3b833db58f1/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f9-cef3-7010-b504-9fdaf7fba478"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"ROLE_ROLLUP_2\\\",\\n       AVG(CASE WHEN \\\"ROLE_FAMILY\\\" = '290919' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"c9\\\"\\nGROUP BY \\\"ROLE_ROLLUP_2\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the Grouped Condition Rate template with group_col=\\\"ROLE_ROLLUP_2\\\" and condition_col=\\\"ROLE_FAMILY\\\", using condition_value '290919'.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14291,"cached_input_tokens":12032,"output_tokens":402,"reasoning_output_tokens":284}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_04dea3b833db58f1/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"ROLE_ROLLUP_2\",\n       AVG(CASE WHEN \"ROLE_FAMILY\" = '290919' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"c9\"\nGROUP BY \"ROLE_ROLLUP_2\"\nORDER BY condition_rate DESC;","notes":"Applied the Grouped Condition Rate template with group_col=\"ROLE_ROLLUP_2\" and condition_col=\"ROLE_FAMILY\", using condition_value '290919'."}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0752c3ad7c250b10/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:09:52.141017+00:00",
+  "ended_at": "2026-05-19T16:09:54.908241+00:00",
+  "elapsed_ms": 2767.2,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 7201,
+    "bytes_utf8": 7201,
+    "lines": 216,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0752c3ad7c250b10/cli/sql_attempt_2.metadata.json

@@ -0,0 +1,43 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:09:55.909849+00:00",
+  "ended_at": "2026-05-19T16:10:00.076924+00:00",
+  "elapsed_ms": 4167.04,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 7201,
+    "bytes_utf8": 7201,
+    "lines": 216,
+    "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_c/c9/artifacts/v2q_c9_0752c3ad7c250b10/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,216 @@
+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: c9
+- dataset_name: Amazon Employee Access Challenge
+- table_name: c9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`.
+- task_type: regression
+- target_column: ROLE_FAMILY
+- main_row_count: 32769
+- important_fields:
+- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION.
+- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE.
+- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID.
+- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1.
+- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2.
+- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME.
+- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE.
+- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC.
+- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY.
+- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE.
+- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']]
+- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE']
+- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge
+
+SQLite schema snapshot:
+{
+  "table_name": "c9",
+  "quoted_table_name": "\"c9\"",
+  "row_count": 32769,
+  "columns": [
+    {
+      "name": "ACTION",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "RESOURCE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "MGR_ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_ROLLUP_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_ROLLUP_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_DEPTNAME",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_TITLE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_FAMILY_DESC",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_FAMILY",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_CODE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "ACTION": "1",
+      "RESOURCE": "39353",
+      "MGR_ID": "85475",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118300",
+      "ROLE_DEPTNAME": "123472",
+      "ROLE_TITLE": "117905",
+      "ROLE_FAMILY_DESC": "117906",
+      "ROLE_FAMILY": "290919",
+      "ROLE_CODE": "117908"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "17183",
+      "MGR_ID": "1540",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118343",
+      "ROLE_DEPTNAME": "123125",
+      "ROLE_TITLE": "118536",
+      "ROLE_FAMILY_DESC": "118536",
+      "ROLE_FAMILY": "308574",
+      "ROLE_CODE": "118539"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "36724",
+      "MGR_ID": "14457",
+      "ROLE_ROLLUP_1": "118219",
+      "ROLE_ROLLUP_2": "118220",
+      "ROLE_DEPTNAME": "117884",
+      "ROLE_TITLE": "117879",
+      "ROLE_FAMILY_DESC": "267952",
+      "ROLE_FAMILY": "19721",
+      "ROLE_CODE": "117880"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "36135",
+      "MGR_ID": "5396",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118343",
+      "ROLE_DEPTNAME": "119993",
+      "ROLE_TITLE": "118321",
+      "ROLE_FAMILY_DESC": "240983",
+      "ROLE_FAMILY": "290919",
+      "ROLE_CODE": "118322"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "42680",
+      "MGR_ID": "5905",
+      "ROLE_ROLLUP_1": "117929",
+      "ROLE_ROLLUP_2": "117930",
+      "ROLE_DEPTNAME": "119569",
+      "ROLE_TITLE": "119323",
+      "ROLE_FAMILY_DESC": "123932",
+      "ROLE_FAMILY": "19793",
+      "ROLE_CODE": "119325"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c9",
+  "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=ROLE_CODE, measure_col=MGR_ID.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "ROLE_CODE",
+    "measure_col": "MGR_ID",
+    "top_k": 12,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 42034.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0752c3ad7c250b10/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,216 @@
+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: c9
+- dataset_name: Amazon Employee Access Challenge
+- table_name: c9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`.
+- task_type: regression
+- target_column: ROLE_FAMILY
+- main_row_count: 32769
+- important_fields:
+- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION.
+- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE.
+- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID.
+- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1.
+- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2.
+- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME.
+- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE.
+- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC.
+- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY.
+- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE.
+- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']]
+- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE']
+- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge
+
+SQLite schema snapshot:
+{
+  "table_name": "c9",
+  "quoted_table_name": "\"c9\"",
+  "row_count": 32769,
+  "columns": [
+    {
+      "name": "ACTION",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "RESOURCE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "MGR_ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_ROLLUP_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_ROLLUP_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_DEPTNAME",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_TITLE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_FAMILY_DESC",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_FAMILY",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_CODE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "ACTION": "1",
+      "RESOURCE": "39353",
+      "MGR_ID": "85475",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118300",
+      "ROLE_DEPTNAME": "123472",
+      "ROLE_TITLE": "117905",
+      "ROLE_FAMILY_DESC": "117906",
+      "ROLE_FAMILY": "290919",
+      "ROLE_CODE": "117908"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "17183",
+      "MGR_ID": "1540",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118343",
+      "ROLE_DEPTNAME": "123125",
+      "ROLE_TITLE": "118536",
+      "ROLE_FAMILY_DESC": "118536",
+      "ROLE_FAMILY": "308574",
+      "ROLE_CODE": "118539"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "36724",
+      "MGR_ID": "14457",
+      "ROLE_ROLLUP_1": "118219",
+      "ROLE_ROLLUP_2": "118220",
+      "ROLE_DEPTNAME": "117884",
+      "ROLE_TITLE": "117879",
+      "ROLE_FAMILY_DESC": "267952",
+      "ROLE_FAMILY": "19721",
+      "ROLE_CODE": "117880"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "36135",
+      "MGR_ID": "5396",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118343",
+      "ROLE_DEPTNAME": "119993",
+      "ROLE_TITLE": "118321",
+      "ROLE_FAMILY_DESC": "240983",
+      "ROLE_FAMILY": "290919",
+      "ROLE_CODE": "118322"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "42680",
+      "MGR_ID": "5905",
+      "ROLE_ROLLUP_1": "117929",
+      "ROLE_ROLLUP_2": "117930",
+      "ROLE_DEPTNAME": "119569",
+      "ROLE_TITLE": "119323",
+      "ROLE_FAMILY_DESC": "123932",
+      "ROLE_FAMILY": "19793",
+      "ROLE_CODE": "119325"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c9",
+  "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=ROLE_CODE, measure_col=MGR_ID.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "ROLE_CODE",
+    "measure_col": "MGR_ID",
+    "top_k": 12,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 42034.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0752c3ad7c250b10/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4100-31fe-7c42-a25f-47427138067f"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0752c3ad7c250b10/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4100-31fe-7c42-a25f-47427138067f"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0752c3ad7c250b10/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4100-40b9-7850-8cf0-e2411593d0bd"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0752c3ad7c250b10/cli/sql_response_attempt_2.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4100-40b9-7850-8cf0-e2411593d0bd"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_095ac59961ba3759/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:04:50.384849+00:00",
+  "ended_at": "2026-05-19T16:04:53.356210+00:00",
+  "elapsed_ms": 2971.33,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 7365,
+    "bytes_utf8": 7365,
+    "lines": 219,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_095ac59961ba3759/cli/sql_attempt_2.metadata.json

@@ -0,0 +1,43 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:04:54.358868+00:00",
+  "ended_at": "2026-05-19T16:04:57.611425+00:00",
+  "elapsed_ms": 3252.5,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 7365,
+    "bytes_utf8": 7365,
+    "lines": 219,
+    "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_c/c9/artifacts/v2q_c9_095ac59961ba3759/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,219 @@
+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: c9
+- dataset_name: Amazon Employee Access Challenge
+- table_name: c9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`.
+- task_type: regression
+- target_column: ROLE_FAMILY
+- main_row_count: 32769
+- important_fields:
+- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION.
+- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE.
+- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID.
+- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1.
+- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2.
+- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME.
+- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE.
+- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC.
+- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY.
+- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE.
+- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']]
+- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE']
+- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge
+
+SQLite schema snapshot:
+{
+  "table_name": "c9",
+  "quoted_table_name": "\"c9\"",
+  "row_count": 32769,
+  "columns": [
+    {
+      "name": "ACTION",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "RESOURCE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "MGR_ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_ROLLUP_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_ROLLUP_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_DEPTNAME",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_TITLE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_FAMILY_DESC",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_FAMILY",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_CODE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "ACTION": "1",
+      "RESOURCE": "39353",
+      "MGR_ID": "85475",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118300",
+      "ROLE_DEPTNAME": "123472",
+      "ROLE_TITLE": "117905",
+      "ROLE_FAMILY_DESC": "117906",
+      "ROLE_FAMILY": "290919",
+      "ROLE_CODE": "117908"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "17183",
+      "MGR_ID": "1540",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118343",
+      "ROLE_DEPTNAME": "123125",
+      "ROLE_TITLE": "118536",
+      "ROLE_FAMILY_DESC": "118536",
+      "ROLE_FAMILY": "308574",
+      "ROLE_CODE": "118539"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "36724",
+      "MGR_ID": "14457",
+      "ROLE_ROLLUP_1": "118219",
+      "ROLE_ROLLUP_2": "118220",
+      "ROLE_DEPTNAME": "117884",
+      "ROLE_TITLE": "117879",
+      "ROLE_FAMILY_DESC": "267952",
+      "ROLE_FAMILY": "19721",
+      "ROLE_CODE": "117880"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "36135",
+      "MGR_ID": "5396",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118343",
+      "ROLE_DEPTNAME": "119993",
+      "ROLE_TITLE": "118321",
+      "ROLE_FAMILY_DESC": "240983",
+      "ROLE_FAMILY": "290919",
+      "ROLE_CODE": "118322"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "42680",
+      "MGR_ID": "5905",
+      "ROLE_ROLLUP_1": "117929",
+      "ROLE_ROLLUP_2": "117930",
+      "ROLE_DEPTNAME": "119569",
+      "ROLE_TITLE": "119323",
+      "ROLE_FAMILY_DESC": "123932",
+      "ROLE_FAMILY": "19793",
+      "ROLE_CODE": "119325"
+    }
+  ]
+}
+
+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": "c9",
+  "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=ROLE_ROLLUP_1, condition_col=ACTION.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "ROLE_ROLLUP_1",
+    "condition_col": "ACTION",
+    "condition_value": "1",
+    "positive_value": "1",
+    "negative_value": "0",
+    "top_k": 13,
+    "top_n": 6,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 119348.0,
+    "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_c/c9/artifacts/v2q_c9_095ac59961ba3759/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,219 @@
+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: c9
+- dataset_name: Amazon Employee Access Challenge
+- table_name: c9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`.
+- task_type: regression
+- target_column: ROLE_FAMILY
+- main_row_count: 32769
+- important_fields:
+- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION.
+- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE.
+- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID.
+- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1.
+- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2.
+- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME.
+- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE.
+- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC.
+- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY.
+- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE.
+- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']]
+- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE']
+- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge
+
+SQLite schema snapshot:
+{
+  "table_name": "c9",
+  "quoted_table_name": "\"c9\"",
+  "row_count": 32769,
+  "columns": [
+    {
+      "name": "ACTION",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "RESOURCE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "MGR_ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_ROLLUP_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_ROLLUP_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_DEPTNAME",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_TITLE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_FAMILY_DESC",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_FAMILY",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_CODE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "ACTION": "1",
+      "RESOURCE": "39353",
+      "MGR_ID": "85475",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118300",
+      "ROLE_DEPTNAME": "123472",
+      "ROLE_TITLE": "117905",
+      "ROLE_FAMILY_DESC": "117906",
+      "ROLE_FAMILY": "290919",
+      "ROLE_CODE": "117908"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "17183",
+      "MGR_ID": "1540",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118343",
+      "ROLE_DEPTNAME": "123125",
+      "ROLE_TITLE": "118536",
+      "ROLE_FAMILY_DESC": "118536",
+      "ROLE_FAMILY": "308574",
+      "ROLE_CODE": "118539"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "36724",
+      "MGR_ID": "14457",
+      "ROLE_ROLLUP_1": "118219",
+      "ROLE_ROLLUP_2": "118220",
+      "ROLE_DEPTNAME": "117884",
+      "ROLE_TITLE": "117879",
+      "ROLE_FAMILY_DESC": "267952",
+      "ROLE_FAMILY": "19721",
+      "ROLE_CODE": "117880"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "36135",
+      "MGR_ID": "5396",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118343",
+      "ROLE_DEPTNAME": "119993",
+      "ROLE_TITLE": "118321",
+      "ROLE_FAMILY_DESC": "240983",
+      "ROLE_FAMILY": "290919",
+      "ROLE_CODE": "118322"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "42680",
+      "MGR_ID": "5905",
+      "ROLE_ROLLUP_1": "117929",
+      "ROLE_ROLLUP_2": "117930",
+      "ROLE_DEPTNAME": "119569",
+      "ROLE_TITLE": "119323",
+      "ROLE_FAMILY_DESC": "123932",
+      "ROLE_FAMILY": "19793",
+      "ROLE_CODE": "119325"
+    }
+  ]
+}
+
+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": "c9",
+  "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=ROLE_ROLLUP_1, condition_col=ACTION.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "ROLE_ROLLUP_1",
+    "condition_col": "ACTION",
+    "condition_value": "1",
+    "positive_value": "1",
+    "negative_value": "0",
+    "top_k": 13,
+    "top_n": 6,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 119348.0,
+    "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_c/c9/artifacts/v2q_c9_095ac59961ba3759/cli/sql_response_attempt_1.raw.txt

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+{"type":"thread.started","thread_id":"019e40fb-976c-7870-a813-45a0e14f4976"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_095ac59961ba3759/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fb-976c-7870-a813-45a0e14f4976"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_095ac59961ba3759/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fb-a6d3-7560-94f1-f95c5bf3affd"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_095ac59961ba3759/cli/sql_response_attempt_2.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fb-a6d3-7560-94f1-f95c5bf3affd"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_095c9c6645a92420/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7534, "bytes_utf8": 7534, "lines": 218, "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": 614, "bytes_utf8": 614, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14343, "cached_input_tokens": 12032, "output_tokens": 708, "reasoning_output_tokens": 516}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_095c9c6645a92420/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": "c9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c9_095c9c6645a92420",
+    "api_calls": 0,
+    "input_tokens": 14343,
+    "cached_input_tokens": 12032,
+    "output_tokens": 708,
+    "total_tokens": 15051,
+    "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": 14502.77,
+    "sql_execution_elapsed_ms_total": 54.13,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_095c9c6645a92420/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_095c9c6645a92420/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": "2026-05-19T15:34:32.977089+00:00",
+  "ended_at": "2026-05-19T15:34:47.479893+00:00",
+  "elapsed_ms": 14502.77,
+  "prompt_metrics": {
+    "chars": 7534,
+    "bytes_utf8": 7534,
+    "lines": 218,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 996,
+    "bytes_utf8": 996,
+    "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": 614,
+      "bytes_utf8": 614,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14343,
+      "cached_input_tokens": 12032,
+      "output_tokens": 708,
+      "reasoning_output_tokens": 516
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_095c9c6645a92420/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,218 @@
+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: c9
+- dataset_name: Amazon Employee Access Challenge
+- table_name: c9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`.
+- task_type: regression
+- target_column: ROLE_FAMILY
+- main_row_count: 32769
+- important_fields:
+- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION.
+- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE.
+- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID.
+- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1.
+- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2.
+- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME.
+- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE.
+- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC.
+- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY.
+- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE.
+- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']]
+- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE']
+- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge
+
+SQLite schema snapshot:
+{
+  "table_name": "c9",
+  "quoted_table_name": "\"c9\"",
+  "row_count": 32769,
+  "columns": [
+    {
+      "name": "ACTION",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "RESOURCE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "MGR_ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_ROLLUP_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_ROLLUP_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_DEPTNAME",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_TITLE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_FAMILY_DESC",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_FAMILY",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_CODE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "ACTION": "1",
+      "RESOURCE": "39353",
+      "MGR_ID": "85475",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118300",
+      "ROLE_DEPTNAME": "123472",
+      "ROLE_TITLE": "117905",
+      "ROLE_FAMILY_DESC": "117906",
+      "ROLE_FAMILY": "290919",
+      "ROLE_CODE": "117908"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "17183",
+      "MGR_ID": "1540",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118343",
+      "ROLE_DEPTNAME": "123125",
+      "ROLE_TITLE": "118536",
+      "ROLE_FAMILY_DESC": "118536",
+      "ROLE_FAMILY": "308574",
+      "ROLE_CODE": "118539"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "36724",
+      "MGR_ID": "14457",
+      "ROLE_ROLLUP_1": "118219",
+      "ROLE_ROLLUP_2": "118220",
+      "ROLE_DEPTNAME": "117884",
+      "ROLE_TITLE": "117879",
+      "ROLE_FAMILY_DESC": "267952",
+      "ROLE_FAMILY": "19721",
+      "ROLE_CODE": "117880"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "36135",
+      "MGR_ID": "5396",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118343",
+      "ROLE_DEPTNAME": "119993",
+      "ROLE_TITLE": "118321",
+      "ROLE_FAMILY_DESC": "240983",
+      "ROLE_FAMILY": "290919",
+      "ROLE_CODE": "118322"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "42680",
+      "MGR_ID": "5905",
+      "ROLE_ROLLUP_1": "117929",
+      "ROLE_ROLLUP_2": "117930",
+      "ROLE_DEPTNAME": "119569",
+      "ROLE_TITLE": "119323",
+      "ROLE_FAMILY_DESC": "123932",
+      "ROLE_FAMILY": "19793",
+      "ROLE_CODE": "119325"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "required_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c9",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=ROLE_ROLLUP_1, measure_col=MGR_ID.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "ROLE_ROLLUP_1",
+    "measure_col": "MGR_ID",
+    "item_col": "ROLE_CODE",
+    "top_k": 10,
+    "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": 42034.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_095c9c6645a92420/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40df-dc1c-7463-a569-c94303e0c565"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"ROLE_ROLLUP_1\\\",\\n  \\\"ROLE_CODE\\\",\\n  SUM(CAST(\\\"MGR_ID\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"MGR_ID\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"MGR_ID\\\" AS REAL))) OVER (PARTITION BY \\\"ROLE_ROLLUP_1\\\") AS share_within_group\\nFROM \\\"c9\\\"\\nGROUP BY \\\"ROLE_ROLLUP_1\\\", \\\"ROLE_CODE\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the requested Within-Group Share of Total template with group_col=\\\"ROLE_ROLLUP_1\\\", item_col=\\\"ROLE_CODE\\\", and measure_col=\\\"MGR_ID\\\". CAST to REAL is applied because the schema stores all fields as TEXT in SQLite.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14343,"cached_input_tokens":12032,"output_tokens":708,"reasoning_output_tokens":516}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_095c9c6645a92420/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n  \"ROLE_ROLLUP_1\",\n  \"ROLE_CODE\",\n  SUM(CAST(\"MGR_ID\" AS REAL)) AS total_measure,\n  SUM(CAST(\"MGR_ID\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"MGR_ID\" AS REAL))) OVER (PARTITION BY \"ROLE_ROLLUP_1\") AS share_within_group\nFROM \"c9\"\nGROUP BY \"ROLE_ROLLUP_1\", \"ROLE_CODE\"\nORDER BY share_within_group DESC;","notes":"Used the requested Within-Group Share of Total template with group_col=\"ROLE_ROLLUP_1\", item_col=\"ROLE_CODE\", and measure_col=\"MGR_ID\". CAST to REAL is applied because the schema stores all fields as TEXT in SQLite."}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b005fc25af43c8b/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:07:51.449472+00:00",
+  "ended_at": "2026-05-19T16:07:54.109698+00:00",
+  "elapsed_ms": 2660.2,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 7114,
+    "bytes_utf8": 7114,
+    "lines": 214,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b005fc25af43c8b/cli/sql_attempt_2.metadata.json

@@ -0,0 +1,43 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:07:55.111555+00:00",
+  "ended_at": "2026-05-19T16:07:58.304173+00:00",
+  "elapsed_ms": 3192.59,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 7114,
+    "bytes_utf8": 7114,
+    "lines": 214,
+    "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"
+}