Add files using upload-large-folder tool

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_3478860f66083be3/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6155, "bytes_utf8": 6155, "lines": 202, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 285, "bytes_utf8": 285, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13844, "cached_input_tokens": 12032, "output_tokens": 388, "reasoning_output_tokens": 312}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_3478860f66083be3/cli/session_summary.json

@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "c7",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c7_3478860f66083be3",
+    "api_calls": 0,
+    "input_tokens": 13844,
+    "cached_input_tokens": 12032,
+    "output_tokens": 388,
+    "total_tokens": 14232,
+    "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": 10059.14,
+    "sql_execution_elapsed_ms_total": 4.1,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_3478860f66083be3/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_3478860f66083be3/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": "2026-05-19T15:30:56.785356+00:00",
+  "ended_at": "2026-05-19T15:31:06.844524+00:00",
+  "elapsed_ms": 10059.14,
+  "prompt_metrics": {
+    "chars": 6155,
+    "bytes_utf8": 6155,
+    "lines": 202,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 639,
+    "bytes_utf8": 639,
+    "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": 285,
+      "bytes_utf8": 285,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13844,
+      "cached_input_tokens": 12032,
+      "output_tokens": 388,
+      "reasoning_output_tokens": 312
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_3478860f66083be3/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,202 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: c7
+- dataset_name: C7
+- table_name: c7
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 8 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 12960
+- important_fields:
+- parents: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for parents.
+- has_nurs: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for has nurs.
+- form: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for form.
+- children: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for children.
+- housing: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing.
+- finance: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for finance.
+- social: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for social.
+- health: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for health.
+- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['parents', 'has_nurs', 'class'], ['parents', 'parents', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://www.openml.org/d/26
+
+SQLite schema snapshot:
+{
+  "table_name": "c7",
+  "quoted_table_name": "\"c7\"",
+  "row_count": 12960,
+  "columns": [
+    {
+      "name": "parents",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "has_nurs",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "form",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "children",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "housing",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "finance",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "social",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "health",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "recommended",
+      "class": "recommend"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "priority",
+      "class": "priority"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "not_recom",
+      "class": "not_recom"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "slightly_prob",
+      "health": "recommended",
+      "class": "recommend"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "slightly_prob",
+      "health": "priority",
+      "class": "priority"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_clickbench_group_count",
+    "template_name": "Grouped Count by Category",
+    "primary_family": "subgroup_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c7",
+  "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=class.",
+  "planned_template_id": "tpl_clickbench_group_count",
+  "bindings": {
+    "group_col": "class",
+    "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": 0.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_3478860f66083be3/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40dc-8f95-7612-8c6f-835e7e80c7e6"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"class\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c7\\\"\\nGROUP BY \\\"class\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the planned grouped-count template with group_col bound to \\\"class\\\" to measure the class count distribution.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13844,"cached_input_tokens":12032,"output_tokens":388,"reasoning_output_tokens":312}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_3478860f66083be3/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"class\", COUNT(*) AS \"row_count\"\nFROM \"c7\"\nGROUP BY \"class\"\nORDER BY \"row_count\" DESC;","notes":"Uses the planned grouped-count template with group_col bound to \"class\" to measure the class count distribution."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_6b666367570035f9/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6241, "bytes_utf8": 6241, "lines": 202, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 333, "bytes_utf8": 333, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13881, "cached_input_tokens": 12032, "output_tokens": 269, "reasoning_output_tokens": 181}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_6b666367570035f9/cli/session_summary.json

@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "c7",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c7_6b666367570035f9",
+    "api_calls": 0,
+    "input_tokens": 13881,
+    "cached_input_tokens": 12032,
+    "output_tokens": 269,
+    "total_tokens": 14150,
+    "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": 17040.19,
+    "sql_execution_elapsed_ms_total": 4.15,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_6b666367570035f9/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_6b666367570035f9/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": "2026-05-19T15:40:03.000378+00:00",
+  "ended_at": "2026-05-19T15:40:20.040600+00:00",
+  "elapsed_ms": 17040.19,
+  "prompt_metrics": {
+    "chars": 6241,
+    "bytes_utf8": 6241,
+    "lines": 202,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1019,
+    "bytes_utf8": 1019,
+    "lines": 5,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 333,
+      "bytes_utf8": 333,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13881,
+      "cached_input_tokens": 12032,
+      "output_tokens": 269,
+      "reasoning_output_tokens": 181
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_6b666367570035f9/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,202 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: c7
+- dataset_name: C7
+- table_name: c7
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 8 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 12960
+- important_fields:
+- parents: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for parents.
+- has_nurs: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for has nurs.
+- form: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for form.
+- children: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for children.
+- housing: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing.
+- finance: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for finance.
+- social: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for social.
+- health: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for health.
+- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['parents', 'has_nurs', 'class'], ['parents', 'parents', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://www.openml.org/d/26
+
+SQLite schema snapshot:
+{
+  "table_name": "c7",
+  "quoted_table_name": "\"c7\"",
+  "row_count": 12960,
+  "columns": [
+    {
+      "name": "parents",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "has_nurs",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "form",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "children",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "housing",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "finance",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "social",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "health",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "recommended",
+      "class": "recommend"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "priority",
+      "class": "priority"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "nonprob",
+      "health": "not_recom",
+      "class": "not_recom"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "slightly_prob",
+      "health": "recommended",
+      "class": "recommend"
+    },
+    {
+      "parents": "usual",
+      "has_nurs": "proper",
+      "form": "complete",
+      "children": "1",
+      "housing": "convenient",
+      "finance": "convenient",
+      "social": "slightly_prob",
+      "health": "priority",
+      "class": "priority"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c7",
+  "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=parents.",
+  "planned_template_id": "tpl_tail_low_support_group_count_v2",
+  "bindings": {
+    "group_col": "parents",
+    "top_k": 18,
+    "top_n": 7,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 0.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_6b666367570035f9/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,5 @@
+{"type":"thread.started","thread_id":"019e40e4-e528-7561-89f4-731622c1c269"}
+{"type":"turn.started"}
+{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1992783, Requested 14516. Please try again in 218ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n    \\\"parents\\\",\\n    COUNT(*) AS support\\nFROM \\\"c7\\\"\\nGROUP BY \\\"parents\\\"\\nORDER BY support ASC, \\\"parents\\\"\\nLIMIT 18;\",\"notes\":\"Uses the Low-Support Group Count template with group_col bound to \\\"parents\\\", returning the least-supported parent groups first.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13881,"cached_input_tokens":12032,"output_tokens":269,"reasoning_output_tokens":181}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_6b666367570035f9/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n    \"parents\",\n    COUNT(*) AS support\nFROM \"c7\"\nGROUP BY \"parents\"\nORDER BY support ASC, \"parents\"\nLIMIT 18;","notes":"Uses the Low-Support Group Count template with group_col bound to \"parents\", returning the least-supported parent groups first."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_86ba9a6bca06cbc9/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6158, "bytes_utf8": 6158, "lines": 202, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 247, "bytes_utf8": 247, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13844, "cached_input_tokens": 12032, "output_tokens": 252, "reasoning_output_tokens": 183}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_86ba9a6bca06cbc9/cli/session_summary.json

@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "c7",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c7_86ba9a6bca06cbc9",
+    "api_calls": 0,
+    "input_tokens": 13844,
+    "cached_input_tokens": 12032,
+    "output_tokens": 252,
+    "total_tokens": 14096,
+    "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": 10687.95,
+    "sql_execution_elapsed_ms_total": 4.3,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_86ba9a6bca06cbc9/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_86ba9a6bca06cbc9/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": "2026-05-19T15:30:46.087816+00:00",
+  "ended_at": "2026-05-19T15:30:56.775816+00:00",
+  "elapsed_ms": 10687.95,
+  "prompt_metrics": {
+    "chars": 6158,
+    "bytes_utf8": 6158,
+    "lines": 202,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 601,
+    "bytes_utf8": 601,
+    "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": 247,
+      "bytes_utf8": 247,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13844,
+      "cached_input_tokens": 12032,
+      "output_tokens": 252,
+      "reasoning_output_tokens": 183
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c7/artifacts/v2q_c7_86ba9a6bca06cbc9/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"health\", COUNT(*) AS \"row_count\"\nFROM \"c7\"\nGROUP BY \"health\"\nORDER BY \"row_count\" DESC;","notes":"Grouped count by \"health\" to inspect the distribution of subgroup sizes."}