Add files using upload-large-folder tool

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_43f3e0b05589c349/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": "c17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c17_43f3e0b05589c349",
+    "api_calls": 0,
+    "input_tokens": 14645,
+    "cached_input_tokens": 12032,
+    "output_tokens": 508,
+    "total_tokens": 15153,
+    "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": 11914.3,
+    "sql_execution_elapsed_ms_total": 8.85,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_43f3e0b05589c349/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_43f3e0b05589c349/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": "2026-05-19T15:29:15.225969+00:00",
+  "ended_at": "2026-05-19T15:29:27.140292+00:00",
+  "elapsed_ms": 11914.3,
+  "prompt_metrics": {
+    "chars": 9177,
+    "bytes_utf8": 9179,
+    "lines": 240,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 717,
+    "bytes_utf8": 717,
+    "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": 363,
+      "bytes_utf8": 363,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14645,
+      "cached_input_tokens": 12032,
+      "output_tokens": 508,
+      "reasoning_output_tokens": 416
+    }
+  },
+  "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/c17/artifacts/v2q_c17_43f3e0b05589c349/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,240 @@
+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: c17
+- dataset_name: Netflix Shows
+- table_name: c17
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 11 feature columns and target `type`.
+- task_type: classification
+- target_column: type
+- main_row_count: 8807
+- important_fields:
+- show_id: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for show id.
+- type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for type.
+- title: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for title.
+- director: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for director.
+- cast: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate', 'missingness_candidate'] desc=Identifier-like field for cast.
+- country: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for country.
+- date_added: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for date added.
+- release_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for release year.
+- rating: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for rating.
+- duration: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for duration.
+- listed_in: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for listed in.
+- description: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for description.
+- useful_field_combinations: [['type', 'release_year', 'type'], ['release_year', 'rating', 'type']]
+- fields_requiring_caution: ['type', 'director', 'country', 'date_added', 'cast']
+- source_url: https://www.kaggle.com/datasets/shivamb/netflix-shows
+
+SQLite schema snapshot:
+{
+  "table_name": "c17",
+  "quoted_table_name": "\"c17\"",
+  "row_count": 8807,
+  "columns": [
+    {
+      "name": "show_id",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "type",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "title",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "director",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "cast",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "date_added",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "release_year",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "rating",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "listed_in",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "description",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "show_id": "s1",
+      "type": "Movie",
+      "title": "Dick Johnson Is Dead",
+      "director": "Kirsten Johnson",
+      "cast": "",
+      "country": "United States",
+      "date_added": "September 25, 2021",
+      "release_year": "2020",
+      "rating": "PG-13",
+      "duration": "90 min",
+      "listed_in": "Documentaries",
+      "description": "As her father nears the end of his life, filmmaker Kirsten Johnson stages his death in inventive and comical ways to help them both face the inevitable."
+    },
+    {
+      "show_id": "s2",
+      "type": "TV Show",
+      "title": "Blood & Water",
+      "director": "",
+      "cast": "Ama Qamata, Khosi Ngema, Gail Mabalane, Thabang Molaba, Dillon Windvogel, Natasha Thahane, Arno Greeff, Xolile Tshabalala, Getmore Sithole, Cindy Mahlangu, Ryle De Morny, Greteli Fincham, Sello Maake Ka-Ncube, Odwa Gwanya, Mekaila Mathys, Sandi Schultz, Duane Williams, Shamilla Miller, Patrick Mofokeng",
+      "country": "South Africa",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "2 Seasons",
+      "listed_in": "International TV Shows, TV Dramas, TV Mysteries",
+      "description": "After crossing paths at a party, a Cape Town teen sets out to prove whether a private-school swimming star is her sister who was abducted at birth."
+    },
+    {
+      "show_id": "s3",
+      "type": "TV Show",
+      "title": "Ganglands",
+      "director": "Julien Leclercq",
+      "cast": "Sami Bouajila, Tracy Gotoas, Samuel Jouy, Nabiha Akkari, Sofia Lesaffre, Salim Kechiouche, Noureddine Farihi, Geert Van Rampelberg, Bakary Diombera",
+      "country": "",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "1 Season",
+      "listed_in": "Crime TV Shows, International TV Shows, TV Action & Adventure",
+      "description": "To protect his family from a powerful drug lord, skilled thief Mehdi and his expert team of robbers are pulled into a violent and deadly turf war."
+    },
+    {
+      "show_id": "s4",
+      "type": "TV Show",
+      "title": "Jailbirds New Orleans",
+      "director": "",
+      "cast": "",
+      "country": "",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "1 Season",
+      "listed_in": "Docuseries, Reality TV",
+      "description": "Feuds, flirtations and toilet talk go down among the incarcerated women at the Orleans Justice Center in New Orleans on this gritty reality series."
+    },
+    {
+      "show_id": "s5",
+      "type": "TV Show",
+      "title": "Kota Factory",
+      "director": "",
+      "cast": "Mayur More, Jitendra Kumar, Ranjan Raj, Alam Khan, Ahsaas Channa, Revathi Pillai, Urvi Singh, Arun Kumar",
+      "country": "India",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "2 Seasons",
+      "listed_in": "International TV Shows, Romantic TV Shows, TV Comedies",
+      "description": "In a city of coaching centers known to train India’s finest collegiate minds, an earnest but unexceptional student and his friends navigate campus life."
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c17",
+  "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=duration, measure_col=release_year.",
+  "planned_template_id": "tpl_h2o_group_sum",
+  "bindings": {
+    "group_col": "duration",
+    "measure_col": "release_year",
+    "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": 2019.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_43f3e0b05589c349/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40db-02e6-79c1-b5dd-d4b9862826fe"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"duration\\\", SUM(CAST(\\\"release_year\\\" AS INTEGER)) AS total_measure\\nFROM \\\"c17\\\"\\nGROUP BY \\\"duration\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the provided grouped numeric sum template with \\\"duration\\\" as the grouping column and casts TEXT \\\"release_year\\\" to INTEGER so SQLite can sum it numerically.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14645,"cached_input_tokens":12032,"output_tokens":508,"reasoning_output_tokens":416}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6e0e202ca7499c4d/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9174, "bytes_utf8": 9176, "lines": 240, "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": 468, "bytes_utf8": 468, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14645, "cached_input_tokens": 13696, "output_tokens": 381, "reasoning_output_tokens": 262}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_c6884bd73a9cd9cf/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9367, "bytes_utf8": 9369, "lines": 240, "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": 699, "bytes_utf8": 699, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14685, "cached_input_tokens": 13696, "output_tokens": 685, "reasoning_output_tokens": 513}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_c6884bd73a9cd9cf/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": "c17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c17_c6884bd73a9cd9cf",
+    "api_calls": 0,
+    "input_tokens": 14685,
+    "cached_input_tokens": 13696,
+    "output_tokens": 685,
+    "total_tokens": 15370,
+    "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": 13879.6,
+    "sql_execution_elapsed_ms_total": 6.21,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_c6884bd73a9cd9cf/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_c6884bd73a9cd9cf/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": "2026-05-19T15:48:00.791578+00:00",
+  "ended_at": "2026-05-19T15:48:14.671212+00:00",
+  "elapsed_ms": 13879.6,
+  "prompt_metrics": {
+    "chars": 9367,
+    "bytes_utf8": 9369,
+    "lines": 240,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1066,
+    "bytes_utf8": 1066,
+    "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": 699,
+      "bytes_utf8": 699,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14685,
+      "cached_input_tokens": 13696,
+      "output_tokens": 685,
+      "reasoning_output_tokens": 513
+    }
+  },
+  "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/c17/artifacts/v2q_c17_c6884bd73a9cd9cf/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,240 @@
+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: c17
+- dataset_name: Netflix Shows
+- table_name: c17
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 11 feature columns and target `type`.
+- task_type: classification
+- target_column: type
+- main_row_count: 8807
+- important_fields:
+- show_id: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for show id.
+- type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for type.
+- title: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for title.
+- director: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for director.
+- cast: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate', 'missingness_candidate'] desc=Identifier-like field for cast.
+- country: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for country.
+- date_added: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for date added.
+- release_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for release year.
+- rating: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for rating.
+- duration: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for duration.
+- listed_in: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for listed in.
+- description: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for description.
+- useful_field_combinations: [['type', 'release_year', 'type'], ['release_year', 'rating', 'type']]
+- fields_requiring_caution: ['type', 'director', 'country', 'date_added', 'cast']
+- source_url: https://www.kaggle.com/datasets/shivamb/netflix-shows
+
+SQLite schema snapshot:
+{
+  "table_name": "c17",
+  "quoted_table_name": "\"c17\"",
+  "row_count": 8807,
+  "columns": [
+    {
+      "name": "show_id",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "type",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "title",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "director",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "cast",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "date_added",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "release_year",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "rating",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "listed_in",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "description",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "show_id": "s1",
+      "type": "Movie",
+      "title": "Dick Johnson Is Dead",
+      "director": "Kirsten Johnson",
+      "cast": "",
+      "country": "United States",
+      "date_added": "September 25, 2021",
+      "release_year": "2020",
+      "rating": "PG-13",
+      "duration": "90 min",
+      "listed_in": "Documentaries",
+      "description": "As her father nears the end of his life, filmmaker Kirsten Johnson stages his death in inventive and comical ways to help them both face the inevitable."
+    },
+    {
+      "show_id": "s2",
+      "type": "TV Show",
+      "title": "Blood & Water",
+      "director": "",
+      "cast": "Ama Qamata, Khosi Ngema, Gail Mabalane, Thabang Molaba, Dillon Windvogel, Natasha Thahane, Arno Greeff, Xolile Tshabalala, Getmore Sithole, Cindy Mahlangu, Ryle De Morny, Greteli Fincham, Sello Maake Ka-Ncube, Odwa Gwanya, Mekaila Mathys, Sandi Schultz, Duane Williams, Shamilla Miller, Patrick Mofokeng",
+      "country": "South Africa",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "2 Seasons",
+      "listed_in": "International TV Shows, TV Dramas, TV Mysteries",
+      "description": "After crossing paths at a party, a Cape Town teen sets out to prove whether a private-school swimming star is her sister who was abducted at birth."
+    },
+    {
+      "show_id": "s3",
+      "type": "TV Show",
+      "title": "Ganglands",
+      "director": "Julien Leclercq",
+      "cast": "Sami Bouajila, Tracy Gotoas, Samuel Jouy, Nabiha Akkari, Sofia Lesaffre, Salim Kechiouche, Noureddine Farihi, Geert Van Rampelberg, Bakary Diombera",
+      "country": "",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "1 Season",
+      "listed_in": "Crime TV Shows, International TV Shows, TV Action & Adventure",
+      "description": "To protect his family from a powerful drug lord, skilled thief Mehdi and his expert team of robbers are pulled into a violent and deadly turf war."
+    },
+    {
+      "show_id": "s4",
+      "type": "TV Show",
+      "title": "Jailbirds New Orleans",
+      "director": "",
+      "cast": "",
+      "country": "",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "1 Season",
+      "listed_in": "Docuseries, Reality TV",
+      "description": "Feuds, flirtations and toilet talk go down among the incarcerated women at the Orleans Justice Center in New Orleans on this gritty reality series."
+    },
+    {
+      "show_id": "s5",
+      "type": "TV Show",
+      "title": "Kota Factory",
+      "director": "",
+      "cast": "Mayur More, Jitendra Kumar, Ranjan Raj, Alam Khan, Ahsaas Channa, Revathi Pillai, Urvi Singh, Arun Kumar",
+      "country": "India",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "2 Seasons",
+      "listed_in": "International TV Shows, Romantic TV Shows, TV Comedies",
+      "description": "In a city of coaching centers known to train India’s finest collegiate minds, an earnest but unexceptional student and his friends navigate campus life."
+    }
+  ]
+}
+
+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": "c17",
+  "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=release_year, measure_col=release_year.",
+  "planned_template_id": "tpl_grouped_percentile_point",
+  "bindings": {
+    "group_col": "release_year",
+    "measure_col": "release_year",
+    "top_k": 15,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 2018.0,
+    "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_b/c17/artifacts/v2q_c17_c6884bd73a9cd9cf/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40ec-301d-77b3-b480-16047457bdbb"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nSELECT\\n  \\\"release_year\\\",\\n  MAX(CAST(\\\"release_year\\\" AS INTEGER)) AS percentile_measure\\nFROM \\\"c17\\\"\\nWHERE \\\"release_year\\\" IS NOT NULL\\n  AND TRIM(\\\"release_year\\\") <> ''\\nGROUP BY \\\"release_year\\\"\\nHAVING COUNT(*) >= 5\\nORDER BY percentile_measure DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT. Because the grouping column and measure column are both \\\"release_year\\\", every value within a group is identical, so the 95th percentile for each group equals that release_year value; MAX(CAST(\\\"release_year\\\" AS INTEGER)) is a SQLite-compatible equivalent. Included HAVING COUNT(*) >= 5 from the provided min_group_size binding.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14685,"cached_input_tokens":13696,"output_tokens":685,"reasoning_output_tokens":513}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_c6884bd73a9cd9cf/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_grouped_percentile_point\nSELECT\n  \"release_year\",\n  MAX(CAST(\"release_year\" AS INTEGER)) AS percentile_measure\nFROM \"c17\"\nWHERE \"release_year\" IS NOT NULL\n  AND TRIM(\"release_year\") <> ''\nGROUP BY \"release_year\"\nHAVING COUNT(*) >= 5\nORDER BY percentile_measure DESC;","notes":"SQLite does not support PERCENTILE_CONT. Because the grouping column and measure column are both \"release_year\", every value within a group is identical, so the 95th percentile for each group equals that release_year value; MAX(CAST(\"release_year\" AS INTEGER)) is a SQLite-compatible equivalent. Included HAVING COUNT(*) >= 5 from the provided min_group_size binding."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_da51c0affede7910/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9174, "bytes_utf8": 9176, "lines": 240, "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": 374, "bytes_utf8": 374, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14645, "cached_input_tokens": 12032, "output_tokens": 395, "reasoning_output_tokens": 298}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_da51c0affede7910/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": "c17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c17_da51c0affede7910",
+    "api_calls": 0,
+    "input_tokens": 14645,
+    "cached_input_tokens": 12032,
+    "output_tokens": 395,
+    "total_tokens": 15040,
+    "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": 27690.85,
+    "sql_execution_elapsed_ms_total": 10.73,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_da51c0affede7910/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_da51c0affede7910/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": "2026-05-19T15:30:20.072002+00:00",
+  "ended_at": "2026-05-19T15:30:47.762894+00:00",
+  "elapsed_ms": 27690.85,
+  "prompt_metrics": {
+    "chars": 9174,
+    "bytes_utf8": 9176,
+    "lines": 240,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 2064,
+    "bytes_utf8": 2064,
+    "lines": 8,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 374,
+      "bytes_utf8": 374,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14645,
+      "cached_input_tokens": 12032,
+      "output_tokens": 395,
+      "reasoning_output_tokens": 298
+    }
+  },
+  "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/c17/artifacts/v2q_c17_da51c0affede7910/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,240 @@
+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: c17
+- dataset_name: Netflix Shows
+- table_name: c17
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 11 feature columns and target `type`.
+- task_type: classification
+- target_column: type
+- main_row_count: 8807
+- important_fields:
+- show_id: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for show id.
+- type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for type.
+- title: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for title.
+- director: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for director.
+- cast: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate', 'missingness_candidate'] desc=Identifier-like field for cast.
+- country: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for country.
+- date_added: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for date added.
+- release_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for release year.
+- rating: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for rating.
+- duration: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for duration.
+- listed_in: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for listed in.
+- description: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for description.
+- useful_field_combinations: [['type', 'release_year', 'type'], ['release_year', 'rating', 'type']]
+- fields_requiring_caution: ['type', 'director', 'country', 'date_added', 'cast']
+- source_url: https://www.kaggle.com/datasets/shivamb/netflix-shows
+
+SQLite schema snapshot:
+{
+  "table_name": "c17",
+  "quoted_table_name": "\"c17\"",
+  "row_count": 8807,
+  "columns": [
+    {
+      "name": "show_id",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "type",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "title",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "director",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "cast",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "date_added",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "release_year",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "rating",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "listed_in",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "description",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "show_id": "s1",
+      "type": "Movie",
+      "title": "Dick Johnson Is Dead",
+      "director": "Kirsten Johnson",
+      "cast": "",
+      "country": "United States",
+      "date_added": "September 25, 2021",
+      "release_year": "2020",
+      "rating": "PG-13",
+      "duration": "90 min",
+      "listed_in": "Documentaries",
+      "description": "As her father nears the end of his life, filmmaker Kirsten Johnson stages his death in inventive and comical ways to help them both face the inevitable."
+    },
+    {
+      "show_id": "s2",
+      "type": "TV Show",
+      "title": "Blood & Water",
+      "director": "",
+      "cast": "Ama Qamata, Khosi Ngema, Gail Mabalane, Thabang Molaba, Dillon Windvogel, Natasha Thahane, Arno Greeff, Xolile Tshabalala, Getmore Sithole, Cindy Mahlangu, Ryle De Morny, Greteli Fincham, Sello Maake Ka-Ncube, Odwa Gwanya, Mekaila Mathys, Sandi Schultz, Duane Williams, Shamilla Miller, Patrick Mofokeng",
+      "country": "South Africa",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "2 Seasons",
+      "listed_in": "International TV Shows, TV Dramas, TV Mysteries",
+      "description": "After crossing paths at a party, a Cape Town teen sets out to prove whether a private-school swimming star is her sister who was abducted at birth."
+    },
+    {
+      "show_id": "s3",
+      "type": "TV Show",
+      "title": "Ganglands",
+      "director": "Julien Leclercq",
+      "cast": "Sami Bouajila, Tracy Gotoas, Samuel Jouy, Nabiha Akkari, Sofia Lesaffre, Salim Kechiouche, Noureddine Farihi, Geert Van Rampelberg, Bakary Diombera",
+      "country": "",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "1 Season",
+      "listed_in": "Crime TV Shows, International TV Shows, TV Action & Adventure",
+      "description": "To protect his family from a powerful drug lord, skilled thief Mehdi and his expert team of robbers are pulled into a violent and deadly turf war."
+    },
+    {
+      "show_id": "s4",
+      "type": "TV Show",
+      "title": "Jailbirds New Orleans",
+      "director": "",
+      "cast": "",
+      "country": "",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "1 Season",
+      "listed_in": "Docuseries, Reality TV",
+      "description": "Feuds, flirtations and toilet talk go down among the incarcerated women at the Orleans Justice Center in New Orleans on this gritty reality series."
+    },
+    {
+      "show_id": "s5",
+      "type": "TV Show",
+      "title": "Kota Factory",
+      "director": "",
+      "cast": "Mayur More, Jitendra Kumar, Ranjan Raj, Alam Khan, Ahsaas Channa, Revathi Pillai, Urvi Singh, Arun Kumar",
+      "country": "India",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "2 Seasons",
+      "listed_in": "International TV Shows, Romantic TV Shows, TV Comedies",
+      "description": "In a city of coaching centers known to train India’s finest collegiate minds, an earnest but unexceptional student and his friends navigate campus life."
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c17",
+  "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=rating, measure_col=release_year.",
+  "planned_template_id": "tpl_h2o_group_sum",
+  "bindings": {
+    "group_col": "rating",
+    "measure_col": "release_year",
+    "top_k": 11,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 2019.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_da51c0affede7910/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,8 @@
+{"type":"thread.started","thread_id":"019e40dc-0026-7ce2-9062-ad51d28be3ad"}
+{"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 1991048, Requested 15280. Please try again in 189ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"}
+{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15280. Please try again in 458ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"}
+{"type":"error","message":"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15280. Please try again in 458ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"}
+{"type":"error","message":"Reconnecting... 5/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15280. Please try again in 458ms. 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_h2o_group_sum\\nSELECT \\\"rating\\\", SUM(CAST(\\\"release_year\\\" AS INTEGER)) AS total_measure\\nFROM \\\"c17\\\"\\nGROUP BY \\\"rating\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned grouped numeric sum template with group_col=\\\"rating\\\" and measure_col=\\\"release_year\\\". CAST is applied because \\\"release_year\\\" is stored as TEXT in the schema.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14645,"cached_input_tokens":12032,"output_tokens":395,"reasoning_output_tokens":298}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_da51c0affede7910/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"rating\", SUM(CAST(\"release_year\" AS INTEGER)) AS total_measure\nFROM \"c17\"\nGROUP BY \"rating\"\nORDER BY total_measure DESC;","notes":"Used the planned grouped numeric sum template with group_col=\"rating\" and measure_col=\"release_year\". CAST is applied because \"release_year\" is stored as TEXT in the schema."}