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Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_02ffa6f2c1c401bf/run_manifest.json

@@ -0,0 +1,67 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "n20",
+  "started_at": "2026-05-19T16:05:19.352741+00:00",
+  "ended_at": "2026-05-19T16:05:26.774932+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n20_02ffa6f2c1c401bf",
+    "problem_id": "v2p_n20_bb85b49b3f30ecc3",
+    "dataset_id": "n20",
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_set_consistency",
+    "intended_facet_id": "low_support_extremes",
+    "variant_semantic_role": "rare_extreme_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=V.",
+    "bindings": {
+      "group_col": "V",
+      "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": 1017.26,
+      "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
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "5",
+    "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};",
+    "notes": [
+      "default_facets=low_support_extremes",
+      "template_selection_mode=rule",
+      "problem_index_within_template=7",
+      "sql_variant_index=1/2",
+      "binding_index=126"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 11,
+    "problem_index_within_template": 7,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_02ffa6f2c1c401bf/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:05:22.484127+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3129.55, "started_at": "2026-05-19T16:05:19.353771+00:00", "ended_at": "2026-05-19T16:05:22.483343+00:00", "prompt_metrics": {"chars": 4545, "bytes_utf8": 4545, "lines": 154, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-0879-7ca3-9879-6acefc35fbbb\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T16:05:26.774845+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3288.7, "started_at": "2026-05-19T16:05:23.485423+00:00", "ended_at": "2026-05-19T16:05:26.774167+00:00", "prompt_metrics": {"chars": 4545, "bytes_utf8": 4545, "lines": 154, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-18a1-7890-8ed0-a52fa6daf9b1\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_037b53fea1457fc9/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=V, measure_col=RH.
+Result preview: [{"V": 41.17, "total_measure": 4413.32}, {"V": 70.32, "total_measure": 4264.84}, {"V": 45.87, "total_measure": 3634.61}, {"V": 51.43, "total_measure": 3514.85}, {"V": 41.16, "total_measure": 3418.35}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_037b53fea1457fc9/generated_sql.sql

@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: n20
+-- family_id: subgroup_structure
+-- canonical_subitem_id: internal_profile_stability
+-- intended_facet_id: subgroup_conditional_contrast
+-- variant_semantic_role: collapsed_target_view
+-- template_id: tpl_h2o_group_sum
+-- query_record_id: v2q_n20_037b53fea1457fc9
+-- problem_id: v2p_n20_401133e67cf60692
+-- realization_mode: agent
+-- source_kind: agent
+SELECT CAST("V" AS REAL) AS "V", SUM(CAST("RH" AS REAL)) AS "total_measure"
+FROM "n20"
+GROUP BY CAST("V" AS REAL)
+ORDER BY "total_measure" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_037b53fea1457fc9/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT CAST(\"V\" AS REAL) AS \"V\", SUM(CAST(\"RH\" AS REAL)) AS \"total_measure\"\nFROM \"n20\"\nGROUP BY CAST(\"V\" AS REAL)\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT CAST(\\\"V\\\" AS REAL) AS \\\"V\\\", SUM(CAST(\\\"RH\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n20\\\"\\nGROUP BY CAST(\\\"V\\\" AS REAL)\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"V\", \"total_measure\"], \"rows\": [{\"V\": 41.17, \"total_measure\": 4413.32}, {\"V\": 70.32, \"total_measure\": 4264.84}, {\"V\": 45.87, \"total_measure\": 3634.61}, {\"V\": 51.43, \"total_measure\": 3514.85}, {\"V\": 41.16, \"total_measure\": 3418.35}, {\"V\": 41.26, \"total_measure\": 3403.64}, {\"V\": 45.01, \"total_measure\": 3389.42}, {\"V\": 58.79, \"total_measure\": 3250.72}, {\"V\": 66.54, \"total_measure\": 2976.43}, {\"V\": 44.9, \"total_measure\": 2955.25}, {\"V\": 42.86, \"total_measure\": 2943.41}, {\"V\": 39.64, \"total_measure\": 2933.05}, {\"V\": 40.71, \"total_measure\": 2879.91}, {\"V\": 69.13, \"total_measure\": 2878.47}, {\"V\": 59.21, \"total_measure\": 2876.11}, {\"V\": 40.64, \"total_measure\": 2779.0099999999998}, {\"V\": 40.55, \"total_measure\": 2751.46}, {\"V\": 68.08, \"total_measure\": 2711.83}, {\"V\": 71.14, \"total_measure\": 2662.62}, {\"V\": 39.96, \"total_measure\": 2586.68}, {\"V\": 43.14, \"total_measure\": 2554.34}, {\"V\": 39.61, \"total_measure\": 2446.54}, {\"V\": 39.16, \"total_measure\": 2368.94}, {\"V\": 44.63, \"total_measure\": 2351.21}, {\"V\": 41.01, \"total_measure\": 2326.6}, {\"V\": 40.77, \"total_measure\": 2322.57}, {\"V\": 77.95, \"total_measure\": 2285.67}, {\"V\": 38.91, \"total_measure\": 2279.77}, {\"V\": 63.94, \"total_measure\": 2267.04}, {\"V\": 40.81, \"total_measure\": 2259.39}, {\"V\": 75.6, \"total_measure\": 2254.5}, {\"V\": 46.18, \"total_measure\": 2254.04}, {\"V\": 40.69, \"total_measure\": 2226.75}, {\"V\": 41.54, \"total_measure\": 2206.09}, {\"V\": 41.62, \"total_measure\": 2142.58}, {\"V\": 40.0, \"total_measure\": 2134.18}, {\"V\": 41.79, \"total_measure\": 2121.57}, {\"V\": 41.14, \"total_measure\": 2109.58}, {\"V\": 50.16, \"total_measure\": 2092.33}, {\"V\": 39.72, \"total_measure\": 2067.56}, {\"V\": 51.19, \"total_measure\": 2062.06}, {\"V\": 42.44, \"total_measure\": 2055.17}, {\"V\": 43.67, \"total_measure\": 2038.02}, {\"V\": 41.58, \"total_measure\": 2032.64}, {\"V\": 49.83, \"total_measure\": 2016.64}, {\"V\": 72.24, \"total_measure\": 1994.25}, {\"V\": 40.22, \"total_measure\": 1992.15}, {\"V\": 63.09, \"total_measure\": 1990.58}, {\"V\": 40.1, \"total_measure\": 1977.17}, {\"V\": 53.16, \"total_measure\": 1947.48}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 7.58}"}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_037b53fea1457fc9/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "n20",
+  "started_at": "2026-05-19T15:31:19.073840+00:00",
+  "ended_at": "2026-05-19T15:31:34.268853+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n20_037b53fea1457fc9",
+    "problem_id": "v2p_n20_401133e67cf60692",
+    "dataset_id": "n20",
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "family_id": "subgroup_structure",
+    "canonical_subitem_id": "internal_profile_stability",
+    "intended_facet_id": "subgroup_conditional_contrast",
+    "variant_semantic_role": "collapsed_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=V, measure_col=RH.",
+    "bindings": {
+      "group_col": "V",
+      "measure_col": "RH",
+      "top_k": 17,
+      "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": 81.4522,
+      "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
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "notes": [
+      "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+      "template_selection_mode=rule",
+      "problem_index_within_template=8",
+      "sql_variant_index=2/2",
+      "binding_index=7"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 1,
+    "problem_index_within_template": 8,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n20/sql/v2q_n20_037b53fea1457fc9.sql",
+  "usage_summary": {
+    "dataset_id": "n20",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n20_037b53fea1457fc9",
+    "api_calls": 0,
+    "input_tokens": 13519,
+    "cached_input_tokens": 12032,
+    "output_tokens": 365,
+    "total_tokens": 13884,
+    "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": 15184.05,
+    "sql_execution_elapsed_ms_total": 7.58,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_037b53fea1457fc9/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_037b53fea1457fc9/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:31:34.259882+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15184.05, "started_at": "2026-05-19T15:31:19.075068+00:00", "ended_at": "2026-05-19T15:31:34.259154+00:00", "prompt_metrics": {"chars": 4546, "bytes_utf8": 4546, "lines": 156, "estimated_tokens": null}, "response_metrics": {"chars": 380, "bytes_utf8": 380, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13519, "cached_input_tokens": 12032, "output_tokens": 365, "reasoning_output_tokens": 255}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT CAST(\\\"V\\\" AS REAL) AS \\\"V\\\", SUM(CAST(\\\"RH\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n20\\\"\\nGROUP BY CAST(\\\"V\\\" AS REAL)\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the Grouped Numeric Sum template with group_col=\\\"V\\\" and measure_col=\\\"RH\\\". Casted both columns to REAL because the schema stores numeric values as TEXT.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_037b53fea1457fc9/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n20",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n20_037b53fea1457fc9",
+  "api_calls": 0,
+  "input_tokens": 13519,
+  "cached_input_tokens": 12032,
+  "output_tokens": 365,
+  "total_tokens": 13884,
+  "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": 15184.05,
+  "sql_execution_elapsed_ms_total": 7.58,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_037b53fea1457fc9/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_077857212da6d6b7/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=V, measure_col=AT.
+Result preview: [{"V": 68.94, "percentile_measure": 35.5}, {"V": 73.56, "percentile_measure": 35.3995}, {"V": 68.27, "percentile_measure": 35.054500000000004}, {"V": 74.67, "percentile_measure": 34.6325}, {"V": 73.03, "percentile_measure": 34.562}]

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_077857212da6d6b7/generated_sql.sql

@@ -0,0 +1,65 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: n20
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_concentration_consistency
+-- intended_facet_id: rare_target_concentration
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_grouped_percentile_point
+-- query_record_id: v2q_n20_077857212da6d6b7
+-- problem_id: v2p_n20_b69f0ac71e2c79a0
+-- realization_mode: agent
+-- source_kind: agent
+WITH "base" AS (
+  SELECT
+    CAST("V" AS REAL) AS "V_num",
+    CAST("AT" AS REAL) AS "AT_num"
+  FROM "n20"
+  WHERE "V" IS NOT NULL
+    AND "AT" IS NOT NULL
+),
+"ranked" AS (
+  SELECT
+    "V_num",
+    "AT_num",
+    ROW_NUMBER() OVER (PARTITION BY "V_num" ORDER BY "AT_num") AS "rn",
+    COUNT(*) OVER (PARTITION BY "V_num") AS "cnt"
+  FROM "base"
+),
+"params" AS (
+  SELECT DISTINCT
+    "V_num",
+    "cnt",
+    ((0.95 * ("cnt" - 1)) + 1.0) AS "h",
+    CAST(((0.95 * ("cnt" - 1)) + 1.0) AS INTEGER) AS "lower_rn",
+    CAST(((0.95 * ("cnt" - 1)) + 1.0) AS INTEGER) + CASE
+      WHEN ((0.95 * ("cnt" - 1)) + 1.0) > CAST(((0.95 * ("cnt" - 1)) + 1.0) AS INTEGER) THEN 1
+      ELSE 0
+    END AS "upper_rn"
+  FROM "ranked"
+  WHERE "cnt" >= 5
+),
+"bounds" AS (
+  SELECT
+    p."V_num",
+    p."cnt",
+    p."h",
+    MAX(CASE WHEN r."rn" = p."lower_rn" THEN r."AT_num" END) AS "lower_val",
+    MAX(CASE WHEN r."rn" = p."upper_rn" THEN r."AT_num" END) AS "upper_val"
+  FROM "params" AS p
+  JOIN "ranked" AS r
+    ON r."V_num" = p."V_num"
+  GROUP BY p."V_num", p."cnt", p."h"
+)
+SELECT
+  "V_num" AS "V",
+  CASE
+    WHEN "lower_val" IS NULL THEN NULL
+    WHEN "upper_val" IS NULL THEN "lower_val"
+    WHEN "h" = CAST("h" AS INTEGER) THEN "lower_val"
+    ELSE "lower_val" + (("h" - CAST("h" AS INTEGER)) * ("upper_val" - "lower_val"))
+  END AS "percentile_measure"
+FROM "bounds"
+ORDER BY "percentile_measure" DESC, "V" DESC
+LIMIT 12;

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_077857212da6d6b7/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"base\" AS (\n  SELECT\n    CAST(\"V\" AS REAL) AS \"V_num\",\n    CAST(\"AT\" AS REAL) AS \"AT_num\"\n  FROM \"n20\"\n  WHERE \"V\" IS NOT NULL\n    AND \"AT\" IS NOT NULL\n),\n\"ranked\" AS (\n  SELECT\n    \"V_num\",\n    \"AT_num\",\n    ROW_NUMBER() OVER (PARTITION BY \"V_num\" ORDER BY \"AT_num\") AS \"rn\",\n    COUNT(*) OVER (PARTITION BY \"V_num\") AS \"cnt\"\n  FROM \"base\"\n),\n\"params\" AS (\n  SELECT DISTINCT\n    \"V_num\",\n    \"cnt\",\n    ((0.95 * (\"cnt\" - 1)) + 1.0) AS \"h\",\n    CAST(((0.95 * (\"cnt\" - 1)) + 1.0) AS INTEGER) AS \"lower_rn\",\n    CAST(((0.95 * (\"cnt\" - 1)) + 1.0) AS INTEGER) + CASE\n      WHEN ((0.95 * (\"cnt\" - 1)) + 1.0) > CAST(((0.95 * (\"cnt\" - 1)) + 1.0) AS INTEGER) THEN 1\n      ELSE 0\n    END AS \"upper_rn\"\n  FROM \"ranked\"\n  WHERE \"cnt\" >= 5\n),\n\"bounds\" AS (\n  SELECT\n    p.\"V_num\",\n    p.\"cnt\",\n    p.\"h\",\n    MAX(CASE WHEN r.\"rn\" = p.\"lower_rn\" THEN r.\"AT_num\" END) AS \"lower_val\",\n    MAX(CASE WHEN r.\"rn\" = p.\"upper_rn\" THEN r.\"AT_num\" END) AS \"upper_val\"\n  FROM \"params\" AS p\n  JOIN \"ranked\" AS r\n    ON r.\"V_num\" = p.\"V_num\"\n  GROUP BY p.\"V_num\", p.\"cnt\", p.\"h\"\n)\nSELECT\n  \"V_num\" AS \"V\",\n  CASE\n    WHEN \"lower_val\" IS NULL THEN NULL\n    WHEN \"upper_val\" IS NULL THEN \"lower_val\"\n    WHEN \"h\" = CAST(\"h\" AS INTEGER) THEN \"lower_val\"\n    ELSE \"lower_val\" + ((\"h\" - CAST(\"h\" AS INTEGER)) * (\"upper_val\" - \"lower_val\"))\n  END AS \"percentile_measure\"\nFROM \"bounds\"\nORDER BY \"percentile_measure\" DESC, \"V\" DESC\nLIMIT 12;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n  SELECT\\n    CAST(\\\"V\\\" AS REAL) AS \\\"V_num\\\",\\n    CAST(\\\"AT\\\" AS REAL) AS \\\"AT_num\\\"\\n  FROM \\\"n20\\\"\\n  WHERE \\\"V\\\" IS NOT NULL\\n    AND \\\"AT\\\" IS NOT NULL\\n),\\n\\\"ranked\\\" AS (\\n  SELECT\\n    \\\"V_num\\\",\\n    \\\"AT_num\\\",\\n    ROW_NUMBER() OVER (PARTITION BY \\\"V_num\\\" ORDER BY \\\"AT_num\\\") AS \\\"rn\\\",\\n    COUNT(*) OVER (PARTITION BY \\\"V_num\\\") AS \\\"cnt\\\"\\n  FROM \\\"base\\\"\\n),\\n\\\"params\\\" AS (\\n  SELECT DISTINCT\\n    \\\"V_num\\\",\\n    \\\"cnt\\\",\\n    ((0.95 * (\\\"cnt\\\" - 1)) + 1.0) AS \\\"h\\\",\\n    CAST(((0.95 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER) AS \\\"lower_rn\\\",\\n    CAST(((0.95 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER) + CASE\\n      WHEN ((0.95 * (\\\"cnt\\\" - 1)) + 1.0) > CAST(((0.95 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER) THEN 1\\n      ELSE 0\\n    END AS \\\"upper_rn\\\"\\n  FROM \\\"ranked\\\"\\n  WHERE \\\"cnt\\\" >= 5\\n),\\n\\\"bounds\\\" AS (\\n  SELECT\\n    p.\\\"V_num\\\",\\n    p.\\\"cnt\\\",\\n    p.\\\"h\\\",\\n    MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN r.\\\"AT_num\\\" END) AS \\\"lower_val\\\",\\n    MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN r.\\\"AT_num\\\" END) AS \\\"upper_val\\\"\\n  FROM \\\"params\\\" AS p\\n  JOIN \\\"ranked\\\" AS r\\n    ON r.\\\"V_num\\\" = p.\\\"V_num\\\"\\n  GROUP BY p.\\\"V_num\\\", p.\\\"cnt\\\", p.\\\"h\\\"\\n)\\nSELECT\\n  \\\"V_num\\\" AS \\\"V\\\",\\n  CASE\\n    WHEN \\\"lower_val\\\" IS NULL THEN NULL\\n    WHEN \\\"upper_val\\\" IS NULL THEN \\\"lower_val\\\"\\n    WHEN \\\"h\\\" = CAST(\\\"h\\\" AS INTEGER) THEN \\\"lower_val\\\"\\n    ELSE \\\"lower_val\\\" + ((\\\"h\\\" - CAST(\\\"h\\\" AS INTEGER)) * (\\\"upper_val\\\" - \\\"lower_val\\\"))\\n  END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\"\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"V\\\" DESC\\nLIMIT 12;\", \"columns\": [\"V\", \"percentile_measure\"], \"rows\": [{\"V\": 68.94, \"percentile_measure\": 35.5}, {\"V\": 73.56, \"percentile_measure\": 35.3995}, {\"V\": 68.27, \"percentile_measure\": 35.054500000000004}, {\"V\": 74.67, \"percentile_measure\": 34.6325}, {\"V\": 73.03, \"percentile_measure\": 34.562}, {\"V\": 74.33, \"percentile_measure\": 34.539}, {\"V\": 74.34, \"percentile_measure\": 34.39}, {\"V\": 69.05, \"percentile_measure\": 34.33}, {\"V\": 68.51, \"percentile_measure\": 34.283}, {\"V\": 77.17, \"percentile_measure\": 33.979}, {\"V\": 68.14, \"percentile_measure\": 33.9365}, {\"V\": 80.18, \"percentile_measure\": 33.894000000000005}], \"row_count_returned\": 12, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 35.6}"}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_077857212da6d6b7/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "n20",
+  "started_at": "2026-05-19T15:57:42.905145+00:00",
+  "ended_at": "2026-05-19T15:58:46.723173+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n20_077857212da6d6b7",
+    "problem_id": "v2p_n20_b69f0ac71e2c79a0",
+    "dataset_id": "n20",
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_concentration_consistency",
+    "intended_facet_id": "rare_target_concentration",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=V, measure_col=AT.",
+    "bindings": {
+      "group_col": "V",
+      "measure_col": "AT",
+      "top_k": 12,
+      "top_n": 3,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 25.72,
+      "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
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "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;",
+    "notes": [
+      "default_facets=rare_target_concentration",
+      "template_selection_mode=rule",
+      "problem_index_within_template=9",
+      "sql_variant_index=1/2",
+      "binding_index=92"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 8,
+    "problem_index_within_template": 9,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n20/sql/v2q_n20_077857212da6d6b7.sql",
+  "usage_summary": {
+    "dataset_id": "n20",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n20_077857212da6d6b7",
+    "api_calls": 0,
+    "input_tokens": 13556,
+    "cached_input_tokens": 12032,
+    "output_tokens": 3740,
+    "total_tokens": 17296,
+    "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": 63777.74,
+    "sql_execution_elapsed_ms_total": 35.6,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_077857212da6d6b7/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_077857212da6d6b7/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:58:46.685954+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 63777.74, "started_at": "2026-05-19T15:57:42.906905+00:00", "ended_at": "2026-05-19T15:58:46.684673+00:00", "prompt_metrics": {"chars": 4721, "bytes_utf8": 4721, "lines": 156, "estimated_tokens": null}, "response_metrics": {"chars": 1880, "bytes_utf8": 1880, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13556, "cached_input_tokens": 12032, "output_tokens": 3740, "reasoning_output_tokens": 3075}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n  SELECT\\n    CAST(\\\"V\\\" AS REAL) AS \\\"V_num\\\",\\n    CAST(\\\"AT\\\" AS REAL) AS \\\"AT_num\\\"\\n  FROM \\\"n20\\\"\\n  WHERE \\\"V\\\" IS NOT NULL\\n    AND \\\"AT\\\" IS NOT NULL\\n),\\n\\\"ranked\\\" AS (\\n  SELECT\\n    \\\"V_num\\\",\\n    \\\"AT_num\\\",\\n    ROW_NUMBER() OVER (PARTITION BY \\\"V_num\\\" ORDER BY \\\"AT_num\\\") AS \\\"rn\\\",\\n    COUNT(*) OVER (PARTITION BY \\\"V_num\\\") AS \\\"cnt\\\"\\n  FROM \\\"base\\\"\\n),\\n\\\"params\\\" AS (\\n  SELECT DISTINCT\\n    \\\"V_num\\\",\\n    \\\"cnt\\\",\\n    ((0.95 * (\\\"cnt\\\" - 1)) + 1.0) AS \\\"h\\\",\\n    CAST(((0.95 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER) AS \\\"lower_rn\\\",\\n    CAST(((0.95 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER) + CASE\\n      WHEN ((0.95 * (\\\"cnt\\\" - 1)) + 1.0) > CAST(((0.95 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER) THEN 1\\n      ELSE 0\\n    END AS \\\"upper_rn\\\"\\n  FROM \\\"ranked\\\"\\n  WHERE \\\"cnt\\\" >= 5\\n),\\n\\\"bounds\\\" AS (\\n  SELECT\\n    p.\\\"V_num\\\",\\n    p.\\\"cnt\\\",\\n    p.\\\"h\\\",\\n    MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"lower_rn\\\" TH"}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_077857212da6d6b7/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n20",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n20_077857212da6d6b7",
+  "api_calls": 0,
+  "input_tokens": 13556,
+  "cached_input_tokens": 12032,
+  "output_tokens": 3740,
+  "total_tokens": 17296,
+  "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": 63777.74,
+  "sql_execution_elapsed_ms_total": 35.6,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_077857212da6d6b7/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_0bbfe0e6cc6a6edf/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=RH.
+Result preview: [{"empirical_cdf_at_threshold": 0.7501045150501672}]

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_0bbfe0e6cc6a6edf/generated_sql.sql

@@ -0,0 +1,15 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: n20
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_set_consistency
+-- intended_facet_id: low_support_extremes
+-- variant_semantic_role: rare_extreme_view
+-- template_id: tpl_threshold_rarity_cdf
+-- query_record_id: v2q_n20_0bbfe0e6cc6a6edf
+-- problem_id: v2p_n20_ddcb46283f1ec339
+-- realization_mode: agent
+-- source_kind: agent
+SELECT AVG(CASE WHEN CAST("RH" AS REAL) <= 84.83 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold"
+FROM "n20";

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_0bbfe0e6cc6a6edf/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"RH\" AS REAL) <= 84.83 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"n20\";", "result": "{\"query\": \"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"RH\\\" AS REAL) <= 84.83 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"n20\\\";\", \"columns\": [\"empirical_cdf_at_threshold\"], \"rows\": [{\"empirical_cdf_at_threshold\": 0.7501045150501672}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.17}"}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_0bbfe0e6cc6a6edf/run_manifest.json

@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "n20",
+  "started_at": "2026-05-19T16:02:32.520902+00:00",
+  "ended_at": "2026-05-19T16:02:40.520289+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n20_0bbfe0e6cc6a6edf",
+    "problem_id": "v2p_n20_ddcb46283f1ec339",
+    "dataset_id": "n20",
+    "template_id": "tpl_threshold_rarity_cdf",
+    "template_name": "Threshold Rarity CDF",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_set_consistency",
+    "intended_facet_id": "low_support_extremes",
+    "variant_semantic_role": "rare_extreme_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=RH.",
+    "bindings": {
+      "measure_col": "RH",
+      "top_k": 11,
+      "top_n": 6,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 84.83,
+      "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
+    },
+    "binding_roles": [
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};",
+    "notes": [
+      "default_facets=low_support_extremes",
+      "template_selection_mode=rule",
+      "problem_index_within_template=4",
+      "sql_variant_index=1/1",
+      "binding_index=111"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 10,
+    "problem_index_within_template": 4,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n20/sql/v2q_n20_0bbfe0e6cc6a6edf.sql",
+  "usage_summary": {
+    "dataset_id": "n20",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n20_0bbfe0e6cc6a6edf",
+    "api_calls": 0,
+    "input_tokens": 13509,
+    "cached_input_tokens": 12672,
+    "output_tokens": 248,
+    "total_tokens": 13757,
+    "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": 7990.88,
+    "sql_execution_elapsed_ms_total": 4.17,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_0bbfe0e6cc6a6edf/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_0bbfe0e6cc6a6edf/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T16:02:40.514237+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 7990.88, "started_at": "2026-05-19T16:02:32.521786+00:00", "ended_at": "2026-05-19T16:02:40.512694+00:00", "prompt_metrics": {"chars": 4492, "bytes_utf8": 4492, "lines": 154, "estimated_tokens": null}, "response_metrics": {"chars": 378, "bytes_utf8": 378, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13509, "cached_input_tokens": 12672, "output_tokens": 248, "reasoning_output_tokens": 138}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"RH\\\" AS REAL) <= 84.83 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"n20\\\";\",\"notes\":\"Used the provided Threshold Rarity CDF template with measure_col bound to \\\"RH\\\" and measure_threshold fixed at 84.83. CAST(\\\"RH\\\" AS REAL) is used because the schema stores numeric values as TEXT.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_0bbfe0e6cc6a6edf/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n20",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n20_0bbfe0e6cc6a6edf",
+  "api_calls": 0,
+  "input_tokens": 13509,
+  "cached_input_tokens": 12672,
+  "output_tokens": 248,
+  "total_tokens": 13757,
+  "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": 7990.88,
+  "sql_execution_elapsed_ms_total": 4.17,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_0bbfe0e6cc6a6edf/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_0bff26a168d15b89/run_manifest.json

@@ -0,0 +1,69 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "n20",
+  "started_at": "2026-05-19T16:07:33.144683+00:00",
+  "ended_at": "2026-05-19T16:07:40.639410+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n20_0bff26a168d15b89",
+    "problem_id": "v2p_n20_1e1540e7e7bfe8cb",
+    "dataset_id": "n20",
+    "template_id": "tpl_tpch_thresholded_group_ranking",
+    "template_name": "Thresholded Group Ranking",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_mass_similarity",
+    "intended_facet_id": "tail_ranked_signal",
+    "variant_semantic_role": "rare_extreme_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Thresholded Group Ranking to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=V, measure_col=RH.",
+    "bindings": {
+      "group_col": "V",
+      "measure_col": "RH",
+      "top_k": 19,
+      "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": 81.4522,
+      "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
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};",
+    "notes": [
+      "default_facets=tail_ranked_signal",
+      "template_selection_mode=rule",
+      "problem_index_within_template=8",
+      "sql_variant_index=2/2",
+      "binding_index=139"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 12,
+    "problem_index_within_template": 8,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_0bff26a168d15b89/trace.jsonl

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+{"timestamp": "2026-05-19T16:07:40.639324+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3232.33, "started_at": "2026-05-19T16:07:37.406208+00:00", "ended_at": "2026-05-19T16:07:40.638579+00:00", "prompt_metrics": {"chars": 4713, "bytes_utf8": 4713, "lines": 156, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-23ca-7cc3-bfcd-9b162a3cadd3\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_0f3ff690869dd386/run_manifest.json

@@ -0,0 +1,69 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "n20",
+  "started_at": "2026-05-19T16:07:10.971012+00:00",
+  "ended_at": "2026-05-19T16:07:17.904074+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n20_0f3ff690869dd386",
+    "problem_id": "v2p_n20_9af48abed1412f24",
+    "dataset_id": "n20",
+    "template_id": "tpl_tpch_thresholded_group_ranking",
+    "template_name": "Thresholded Group Ranking",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_set_consistency",
+    "intended_facet_id": "low_support_extremes",
+    "variant_semantic_role": "filtered_stable_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Thresholded Group Ranking to probe tail_set_consistency with semantic role filtered_stable_view. Focus on group_col=V, measure_col=AP.",
+    "bindings": {
+      "group_col": "V",
+      "measure_col": "AP",
+      "top_k": 18,
+      "top_n": 6,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 1015.48,
+      "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
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};",
+    "notes": [
+      "default_facets=low_support_extremes",
+      "template_selection_mode=rule",
+      "problem_index_within_template=7",
+      "sql_variant_index=2/2",
+      "binding_index=138"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 12,
+    "problem_index_within_template": 7,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_0f3ff690869dd386/trace.jsonl

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+{"timestamp": "2026-05-19T16:07:17.903934+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3202.01, "started_at": "2026-05-19T16:07:14.700903+00:00", "ended_at": "2026-05-19T16:07:17.902956+00:00", "prompt_metrics": {"chars": 4715, "bytes_utf8": 4715, "lines": 156, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-cb2e-7f82-8641-9391e614b4fa\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_1374fa0b88fff512/run_manifest.json

@@ -0,0 +1,67 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "n20",
+  "started_at": "2026-05-19T16:04:36.461302+00:00",
+  "ended_at": "2026-05-19T16:04:43.779204+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n20_1374fa0b88fff512",
+    "problem_id": "v2p_n20_dc65422554014113",
+    "dataset_id": "n20",
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_mass_similarity",
+    "intended_facet_id": "tail_ranked_signal",
+    "variant_semantic_role": "rare_extreme_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=V.",
+    "bindings": {
+      "group_col": "V",
+      "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": 84.83,
+      "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
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "5",
+    "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};",
+    "notes": [
+      "default_facets=tail_ranked_signal",
+      "template_selection_mode=rule",
+      "problem_index_within_template=4",
+      "sql_variant_index=2/2",
+      "binding_index=123"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 11,
+    "problem_index_within_template": 4,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_1374fa0b88fff512/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:04:39.662261+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3198.38, "started_at": "2026-05-19T16:04:36.463063+00:00", "ended_at": "2026-05-19T16:04:39.661479+00:00", "prompt_metrics": {"chars": 4545, "bytes_utf8": 4545, "lines": 154, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fb-6107-7751-8d8f-f15b1b2bf91e\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T16:04:43.779109+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3114.75, "started_at": "2026-05-19T16:04:40.663533+00:00", "ended_at": "2026-05-19T16:04:43.778332+00:00", "prompt_metrics": {"chars": 4545, "bytes_utf8": 4545, "lines": 154, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fb-715d-7f92-aa5f-7e8d34805b5d\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_149c9deaddbb6c37/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=V, condition_col=PE.
+Result preview: [{"V": "44.34", "condition_rate": 0.30434782608695654}, {"V": "43.34", "condition_rate": 0.05555555555555555}, {"V": "40.89", "condition_rate": 0.05}, {"V": "81.56", "condition_rate": 0.0}, {"V": "80.25", "condition_rate": 0.0}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_149c9deaddbb6c37/generated_sql.sql

@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: n20
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: within_group_proportion
+-- template_id: tpl_m4_group_condition_rate
+-- query_record_id: v2q_n20_149c9deaddbb6c37
+-- problem_id: v2p_n20_bb552b606929f057
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "V",
+       AVG(CASE WHEN CAST("PE" AS REAL) = 468.8 THEN 1 ELSE 0 END) AS "condition_rate"
+FROM "n20"
+GROUP BY "V"
+ORDER BY "condition_rate" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_149c9deaddbb6c37/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"V\",\n       AVG(CASE WHEN CAST(\"PE\" AS REAL) = 468.8 THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"n20\"\nGROUP BY \"V\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"V\\\",\\n       AVG(CASE WHEN CAST(\\\"PE\\\" AS REAL) = 468.8 THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"n20\\\"\\nGROUP BY \\\"V\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"V\", \"condition_rate\"], \"rows\": [{\"V\": \"44.34\", \"condition_rate\": 0.30434782608695654}, {\"V\": \"43.34\", \"condition_rate\": 0.05555555555555555}, {\"V\": \"40.89\", \"condition_rate\": 0.05}, {\"V\": \"81.56\", \"condition_rate\": 0.0}, {\"V\": \"80.25\", \"condition_rate\": 0.0}, {\"V\": \"80.180000000000007\", \"condition_rate\": 0.0}, {\"V\": \"79.739999999999995\", \"condition_rate\": 0.0}, {\"V\": \"79.05\", \"condition_rate\": 0.0}, {\"V\": \"78.92\", \"condition_rate\": 0.0}, {\"V\": \"78.87\", \"condition_rate\": 0.0}, {\"V\": \"78.11\", \"condition_rate\": 0.0}, {\"V\": \"78.05\", \"condition_rate\": 0.0}, {\"V\": \"77.95\", \"condition_rate\": 0.0}, {\"V\": \"77.540000000000006\", \"condition_rate\": 0.0}, {\"V\": \"77.3\", \"condition_rate\": 0.0}, {\"V\": \"77.239999999999995\", \"condition_rate\": 0.0}, {\"V\": \"77.17\", \"condition_rate\": 0.0}, {\"V\": \"76.86\", \"condition_rate\": 0.0}, {\"V\": \"76.2\", \"condition_rate\": 0.0}, {\"V\": \"76.16\", \"condition_rate\": 0.0}, {\"V\": \"76.09\", \"condition_rate\": 0.0}, {\"V\": \"75.599999999999994\", \"condition_rate\": 0.0}, {\"V\": \"75.33\", \"condition_rate\": 0.0}, {\"V\": \"75.23\", \"condition_rate\": 0.0}, {\"V\": \"75.08\", \"condition_rate\": 0.0}, {\"V\": \"74.989999999999995\", \"condition_rate\": 0.0}, {\"V\": \"74.930000000000007\", \"condition_rate\": 0.0}, {\"V\": \"74.900000000000006\", \"condition_rate\": 0.0}, {\"V\": \"74.87\", \"condition_rate\": 0.0}, {\"V\": \"74.78\", \"condition_rate\": 0.0}, {\"V\": \"74.67\", \"condition_rate\": 0.0}, {\"V\": \"74.34\", \"condition_rate\": 0.0}, {\"V\": \"74.33\", \"condition_rate\": 0.0}, {\"V\": \"74.22\", \"condition_rate\": 0.0}, {\"V\": \"74.16\", \"condition_rate\": 0.0}, {\"V\": \"73.91\", \"condition_rate\": 0.0}, {\"V\": \"73.900000000000006\", \"condition_rate\": 0.0}, {\"V\": \"73.88\", \"condition_rate\": 0.0}, {\"V\": \"73.77\", \"condition_rate\": 0.0}, {\"V\": \"73.680000000000007\", \"condition_rate\": 0.0}, {\"V\": \"73.67\", \"condition_rate\": 0.0}, {\"V\": \"73.56\", \"condition_rate\": 0.0}, {\"V\": \"73.5\", \"condition_rate\": 0.0}, {\"V\": \"73.459999999999994\", \"condition_rate\": 0.0}, {\"V\": \"73.42\", \"condition_rate\": 0.0}, {\"V\": \"73.400000000000006\", \"condition_rate\": 0.0}, {\"V\": \"73.209999999999994\", \"condition_rate\": 0.0}, {\"V\": \"73.180000000000007\", \"condition_rate\": 0.0}, {\"V\": \"73.17\", \"condition_rate\": 0.0}, {\"V\": \"73.11\", \"condition_rate\": 0.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 6.4}"}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_149c9deaddbb6c37/run_manifest.json

@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "n20",
+  "started_at": "2026-05-19T16:00:51.433367+00:00",
+  "ended_at": "2026-05-19T16:01:05.015672+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n20_149c9deaddbb6c37",
+    "problem_id": "v2p_n20_bb552b606929f057",
+    "dataset_id": "n20",
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "dependency_strength_similarity",
+    "intended_facet_id": "pairwise_conditional_dependency",
+    "variant_semantic_role": "within_group_proportion",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=V, condition_col=PE.",
+    "bindings": {
+      "group_col": "V",
+      "condition_col": "PE",
+      "condition_value": "468.8",
+      "positive_value": "468.8",
+      "negative_value": "434.01",
+      "top_k": 10,
+      "top_n": 3,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 25.72,
+      "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
+    },
+    "binding_roles": [
+      "group_col",
+      "condition_col"
+    ],
+    "coverage_target_min": "5",
+    "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;",
+    "notes": [
+      "default_facets=pairwise_conditional_dependency",
+      "template_selection_mode=rule",
+      "problem_index_within_template=5",
+      "sql_variant_index=1/2",
+      "binding_index=100"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 9,
+    "problem_index_within_template": 5,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n20/sql/v2q_n20_149c9deaddbb6c37.sql",
+  "usage_summary": {
+    "dataset_id": "n20",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n20_149c9deaddbb6c37",
+    "api_calls": 0,
+    "input_tokens": 13586,
+    "cached_input_tokens": 12672,
+    "output_tokens": 625,
+    "total_tokens": 14211,
+    "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": 13572.41,
+    "sql_execution_elapsed_ms_total": 6.4,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_149c9deaddbb6c37/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_149c9deaddbb6c37/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T16:01:05.007649+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13572.41, "started_at": "2026-05-19T16:00:51.434306+00:00", "ended_at": "2026-05-19T16:01:05.006741+00:00", "prompt_metrics": {"chars": 4805, "bytes_utf8": 4805, "lines": 159, "estimated_tokens": null}, "response_metrics": {"chars": 376, "bytes_utf8": 376, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13586, "cached_input_tokens": 12672, "output_tokens": 625, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"V\\\",\\n       AVG(CASE WHEN CAST(\\\"PE\\\" AS REAL) = 468.8 THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"n20\\\"\\nGROUP BY \\\"V\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses grouped condition rate with group_col=\\\"V\\\" and condition_col=\\\"PE\\\"; CAST is applied because the schema stores numeric values as TEXT.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_149c9deaddbb6c37/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n20",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n20_149c9deaddbb6c37",
+  "api_calls": 0,
+  "input_tokens": 13586,
+  "cached_input_tokens": 12672,
+  "output_tokens": 625,
+  "total_tokens": 14211,
+  "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": 13572.41,
+  "sql_execution_elapsed_ms_total": 6.4,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_149c9deaddbb6c37/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_164482180ebc56af/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=V, measure_col=RH.
+Result preview: [{"V": "41.17", "total_measure": 4413.32}, {"V": "70.319999999999993", "total_measure": 4264.84}, {"V": "45.87", "total_measure": 3634.61}, {"V": "51.43", "total_measure": 3514.85}, {"V": "41.16", "total_measure": 3418.35}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_164482180ebc56af/generated_sql.sql

@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: n20
+-- family_id: subgroup_structure
+-- canonical_subitem_id: internal_profile_stability
+-- intended_facet_id: subgroup_rank_order
+-- variant_semantic_role: collapsed_target_view
+-- template_id: tpl_h2o_group_sum
+-- query_record_id: v2q_n20_164482180ebc56af
+-- problem_id: v2p_n20_b57ba9ea446d6be7
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "V", SUM(CAST("RH" AS REAL)) AS "total_measure"
+FROM "n20"
+GROUP BY "V"
+ORDER BY "total_measure" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_164482180ebc56af/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"V\", SUM(CAST(\"RH\" AS REAL)) AS \"total_measure\"\nFROM \"n20\"\nGROUP BY \"V\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"V\\\", SUM(CAST(\\\"RH\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n20\\\"\\nGROUP BY \\\"V\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"V\", \"total_measure\"], \"rows\": [{\"V\": \"41.17\", \"total_measure\": 4413.32}, {\"V\": \"70.319999999999993\", \"total_measure\": 4264.84}, {\"V\": \"45.87\", \"total_measure\": 3634.61}, {\"V\": \"51.43\", \"total_measure\": 3514.85}, {\"V\": \"41.16\", \"total_measure\": 3418.35}, {\"V\": \"41.26\", \"total_measure\": 3403.64}, {\"V\": \"45.01\", \"total_measure\": 3389.42}, {\"V\": \"58.79\", \"total_measure\": 3250.72}, {\"V\": \"66.540000000000006\", \"total_measure\": 2976.43}, {\"V\": \"44.9\", \"total_measure\": 2955.25}, {\"V\": \"42.86\", \"total_measure\": 2943.41}, {\"V\": \"39.64\", \"total_measure\": 2933.05}, {\"V\": \"40.71\", \"total_measure\": 2879.91}, {\"V\": \"69.13\", \"total_measure\": 2878.47}, {\"V\": \"59.21\", \"total_measure\": 2876.11}, {\"V\": \"40.64\", \"total_measure\": 2779.0099999999998}, {\"V\": \"40.549999999999997\", \"total_measure\": 2751.46}, {\"V\": \"68.08\", \"total_measure\": 2711.83}, {\"V\": \"71.14\", \"total_measure\": 2662.62}, {\"V\": \"39.96\", \"total_measure\": 2586.68}, {\"V\": \"43.14\", \"total_measure\": 2554.34}, {\"V\": \"39.61\", \"total_measure\": 2446.54}, {\"V\": \"39.159999999999997\", \"total_measure\": 2368.94}, {\"V\": \"44.63\", \"total_measure\": 2351.21}, {\"V\": \"41.01\", \"total_measure\": 2326.6}, {\"V\": \"40.770000000000003\", \"total_measure\": 2322.57}, {\"V\": \"77.95\", \"total_measure\": 2285.67}, {\"V\": \"38.909999999999997\", \"total_measure\": 2279.77}, {\"V\": \"63.94\", \"total_measure\": 2267.04}, {\"V\": \"40.81\", \"total_measure\": 2259.39}, {\"V\": \"75.599999999999994\", \"total_measure\": 2254.5}, {\"V\": \"46.18\", \"total_measure\": 2254.04}, {\"V\": \"40.69\", \"total_measure\": 2226.75}, {\"V\": \"41.54\", \"total_measure\": 2206.09}, {\"V\": \"41.62\", \"total_measure\": 2142.58}, {\"V\": \"40\", \"total_measure\": 2134.18}, {\"V\": \"41.79\", \"total_measure\": 2121.57}, {\"V\": \"41.14\", \"total_measure\": 2109.58}, {\"V\": \"50.16\", \"total_measure\": 2092.33}, {\"V\": \"39.72\", \"total_measure\": 2067.56}, {\"V\": \"51.19\", \"total_measure\": 2062.06}, {\"V\": \"42.44\", \"total_measure\": 2055.17}, {\"V\": \"43.67\", \"total_measure\": 2038.02}, {\"V\": \"41.58\", \"total_measure\": 2032.64}, {\"V\": \"49.83\", \"total_measure\": 2016.64}, {\"V\": \"72.239999999999995\", \"total_measure\": 1994.25}, {\"V\": \"40.22\", \"total_measure\": 1992.15}, {\"V\": \"63.09\", \"total_measure\": 1990.58}, {\"V\": \"40.1\", \"total_measure\": 1977.17}, {\"V\": \"53.16\", \"total_measure\": 1947.48}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 5.99}"}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_164482180ebc56af/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "n20",
+  "started_at": "2026-05-19T15:29:29.395060+00:00",
+  "ended_at": "2026-05-19T15:29:39.615826+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n20_164482180ebc56af",
+    "problem_id": "v2p_n20_b57ba9ea446d6be7",
+    "dataset_id": "n20",
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "family_id": "subgroup_structure",
+    "canonical_subitem_id": "internal_profile_stability",
+    "intended_facet_id": "subgroup_rank_order",
+    "variant_semantic_role": "collapsed_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=V, measure_col=RH.",
+    "bindings": {
+      "group_col": "V",
+      "measure_col": "RH",
+      "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": 81.4522,
+      "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
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "notes": [
+      "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+      "template_selection_mode=rule",
+      "problem_index_within_template=4",
+      "sql_variant_index=2/2",
+      "binding_index=3"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 1,
+    "problem_index_within_template": 4,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n20/sql/v2q_n20_164482180ebc56af.sql",
+  "usage_summary": {
+    "dataset_id": "n20",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n20_164482180ebc56af",
+    "api_calls": 0,
+    "input_tokens": 13519,
+    "cached_input_tokens": 12032,
+    "output_tokens": 305,
+    "total_tokens": 13824,
+    "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": 10211.23,
+    "sql_execution_elapsed_ms_total": 5.99,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_164482180ebc56af/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_164482180ebc56af/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:29:39.608425+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10211.23, "started_at": "2026-05-19T15:29:29.396461+00:00", "ended_at": "2026-05-19T15:29:39.607719+00:00", "prompt_metrics": {"chars": 4546, "bytes_utf8": 4546, "lines": 156, "estimated_tokens": null}, "response_metrics": {"chars": 351, "bytes_utf8": 351, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13519, "cached_input_tokens": 12032, "output_tokens": 305, "reasoning_output_tokens": 204}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"V\\\", SUM(CAST(\\\"RH\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n20\\\"\\nGROUP BY \\\"V\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the required template with group_col=\\\"V\\\" and measure_col=\\\"RH\\\". CAST(\\\"RH\\\" AS REAL) is applied because the schema stores numeric-looking fields as TEXT in SQLite.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_164482180ebc56af/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n20",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n20_164482180ebc56af",
+  "api_calls": 0,
+  "input_tokens": 13519,
+  "cached_input_tokens": 12032,
+  "output_tokens": 305,
+  "total_tokens": 13824,
+  "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": 10211.23,
+  "sql_execution_elapsed_ms_total": 5.99,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_164482180ebc56af/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_1b1eb730683025a7/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=V, measure_col=AP.
+Result preview: [{"V": 41.82, "percentile_measure": 1033.293}, {"V": 40.02, "percentile_measure": 1032.098}, {"V": 42.86, "percentile_measure": 1032.0}, {"V": 41.92, "percentile_measure": 1031.961}, {"V": 40.11, "percentile_measure": 1031.186}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_1b1eb730683025a7/generated_sql.sql

@@ -0,0 +1,60 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: n20
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_concentration_consistency
+-- intended_facet_id: rare_target_concentration
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_grouped_percentile_point
+-- query_record_id: v2q_n20_1b1eb730683025a7
+-- problem_id: v2p_n20_5dc294f1381825f8
+-- realization_mode: agent
+-- source_kind: agent
+WITH "ordered" AS (
+  SELECT
+    CAST("V" AS REAL) AS "V",
+    CAST("AP" AS REAL) AS "AP",
+    ROW_NUMBER() OVER (
+      PARTITION BY CAST("V" AS REAL)
+      ORDER BY CAST("AP" AS REAL)
+    ) AS "rn",
+    COUNT(*) OVER (
+      PARTITION BY CAST("V" AS REAL)
+    ) AS "cnt"
+  FROM "n20"
+  WHERE "V" IS NOT NULL AND "AP" IS NOT NULL
+),
+"pos" AS (
+  SELECT DISTINCT
+    "V",
+    (1.0 + 0.95 * ("cnt" - 1)) AS "pos",
+    CAST((1.0 + 0.95 * ("cnt" - 1)) AS INTEGER) AS "lo_rn",
+    CASE
+      WHEN (1.0 + 0.95 * ("cnt" - 1)) = CAST((1.0 + 0.95 * ("cnt" - 1)) AS INTEGER)
+        THEN CAST((1.0 + 0.95 * ("cnt" - 1)) AS INTEGER)
+      ELSE CAST((1.0 + 0.95 * ("cnt" - 1)) AS INTEGER) + 1
+    END AS "hi_rn"
+  FROM "ordered"
+),
+"picked" AS (
+  SELECT
+    p."V",
+    p."pos",
+    p."lo_rn",
+    p."hi_rn",
+    MAX(CASE WHEN o."rn" = p."lo_rn" THEN o."AP" END) AS "lo_val",
+    MAX(CASE WHEN o."rn" = p."hi_rn" THEN o."AP" END) AS "hi_val"
+  FROM "pos" p
+  JOIN "ordered" o
+    ON o."V" = p."V"
+  GROUP BY p."V", p."pos", p."lo_rn", p."hi_rn"
+)
+SELECT
+  "V",
+  CASE
+    WHEN "lo_rn" = "hi_rn" THEN "lo_val"
+    ELSE "lo_val" + (("pos" - "lo_rn") * ("hi_val" - "lo_val"))
+  END AS "percentile_measure"
+FROM "picked"
+ORDER BY "percentile_measure" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_1b1eb730683025a7/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n  SELECT\n    CAST(\"V\" AS REAL) AS \"V\",\n    CAST(\"AP\" AS REAL) AS \"AP\",\n    ROW_NUMBER() OVER (\n      PARTITION BY CAST(\"V\" AS REAL)\n      ORDER BY CAST(\"AP\" AS REAL)\n    ) AS \"rn\",\n    COUNT(*) OVER (\n      PARTITION BY CAST(\"V\" AS REAL)\n    ) AS \"cnt\"\n  FROM \"n20\"\n  WHERE \"V\" IS NOT NULL AND \"AP\" IS NOT NULL\n),\n\"pos\" AS (\n  SELECT DISTINCT\n    \"V\",\n    (1.0 + 0.95 * (\"cnt\" - 1)) AS \"pos\",\n    CAST((1.0 + 0.95 * (\"cnt\" - 1)) AS INTEGER) AS \"lo_rn\",\n    CASE\n      WHEN (1.0 + 0.95 * (\"cnt\" - 1)) = CAST((1.0 + 0.95 * (\"cnt\" - 1)) AS INTEGER)\n        THEN CAST((1.0 + 0.95 * (\"cnt\" - 1)) AS INTEGER)\n      ELSE CAST((1.0 + 0.95 * (\"cnt\" - 1)) AS INTEGER) + 1\n    END AS \"hi_rn\"\n  FROM \"ordered\"\n),\n\"picked\" AS (\n  SELECT\n    p.\"V\",\n    p.\"pos\",\n    p.\"lo_rn\",\n    p.\"hi_rn\",\n    MAX(CASE WHEN o.\"rn\" = p.\"lo_rn\" THEN o.\"AP\" END) AS \"lo_val\",\n    MAX(CASE WHEN o.\"rn\" = p.\"hi_rn\" THEN o.\"AP\" END) AS \"hi_val\"\n  FROM \"pos\" p\n  JOIN \"ordered\" o\n    ON o.\"V\" = p.\"V\"\n  GROUP BY p.\"V\", p.\"pos\", p.\"lo_rn\", p.\"hi_rn\"\n)\nSELECT\n  \"V\",\n  CASE\n    WHEN \"lo_rn\" = \"hi_rn\" THEN \"lo_val\"\n    ELSE \"lo_val\" + ((\"pos\" - \"lo_rn\") * (\"hi_val\" - \"lo_val\"))\n  END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n  SELECT\\n    CAST(\\\"V\\\" AS REAL) AS \\\"V\\\",\\n    CAST(\\\"AP\\\" AS REAL) AS \\\"AP\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY CAST(\\\"V\\\" AS REAL)\\n      ORDER BY CAST(\\\"AP\\\" AS REAL)\\n    ) AS \\\"rn\\\",\\n    COUNT(*) OVER (\\n      PARTITION BY CAST(\\\"V\\\" AS REAL)\\n    ) AS \\\"cnt\\\"\\n  FROM \\\"n20\\\"\\n  WHERE \\\"V\\\" IS NOT NULL AND \\\"AP\\\" IS NOT NULL\\n),\\n\\\"pos\\\" AS (\\n  SELECT DISTINCT\\n    \\\"V\\\",\\n    (1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS \\\"pos\\\",\\n    CAST((1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"lo_rn\\\",\\n    CASE\\n      WHEN (1.0 + 0.95 * (\\\"cnt\\\" - 1)) = CAST((1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n        THEN CAST((1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n      ELSE CAST((1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER) + 1\\n    END AS \\\"hi_rn\\\"\\n  FROM \\\"ordered\\\"\\n),\\n\\\"picked\\\" AS (\\n  SELECT\\n    p.\\\"V\\\",\\n    p.\\\"pos\\\",\\n    p.\\\"lo_rn\\\",\\n    p.\\\"hi_rn\\\",\\n    MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lo_rn\\\" THEN o.\\\"AP\\\" END) AS \\\"lo_val\\\",\\n    MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"hi_rn\\\" THEN o.\\\"AP\\\" END) AS \\\"hi_val\\\"\\n  FROM \\\"pos\\\" p\\n  JOIN \\\"ordered\\\" o\\n    ON o.\\\"V\\\" = p.\\\"V\\\"\\n  GROUP BY p.\\\"V\\\", p.\\\"pos\\\", p.\\\"lo_rn\\\", p.\\\"hi_rn\\\"\\n)\\nSELECT\\n  \\\"V\\\",\\n  CASE\\n    WHEN \\\"lo_rn\\\" = \\\"hi_rn\\\" THEN \\\"lo_val\\\"\\n    ELSE \\\"lo_val\\\" + ((\\\"pos\\\" - \\\"lo_rn\\\") * (\\\"hi_val\\\" - \\\"lo_val\\\"))\\n  END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"V\", \"percentile_measure\"], \"rows\": [{\"V\": 41.82, \"percentile_measure\": 1033.293}, {\"V\": 40.02, \"percentile_measure\": 1032.098}, {\"V\": 42.86, \"percentile_measure\": 1032.0}, {\"V\": 41.92, \"percentile_measure\": 1031.961}, {\"V\": 40.11, \"percentile_measure\": 1031.186}, {\"V\": 41.4, \"percentile_measure\": 1030.686}, {\"V\": 44.47, \"percentile_measure\": 1030.208}, {\"V\": 36.25, \"percentile_measure\": 1029.6775}, {\"V\": 42.74, \"percentile_measure\": 1029.3310000000001}, {\"V\": 39.42, \"percentile_measure\": 1028.5015}, {\"V\": 40.8, \"percentile_measure\": 1028.1375}, {\"V\": 41.14, \"percentile_measure\": 1028.1335000000001}, {\"V\": 34.69, \"percentile_measure\": 1028.0235}, {\"V\": 36.3, \"percentile_measure\": 1027.884}, {\"V\": 36.66, \"percentile_measure\": 1027.8174999999999}, {\"V\": 35.57, \"percentile_measure\": 1027.145}, {\"V\": 41.04, \"percentile_measure\": 1026.886}, {\"V\": 40.81, \"percentile_measure\": 1026.531}, {\"V\": 52.72, \"percentile_measure\": 1026.41}, {\"V\": 49.64, \"percentile_measure\": 1026.3825}, {\"V\": 39.96, \"percentile_measure\": 1026.2715}, {\"V\": 52.75, \"percentile_measure\": 1026.19}, {\"V\": 40.43, \"percentile_measure\": 1025.875}, {\"V\": 40.71, \"percentile_measure\": 1025.7}, {\"V\": 43.71, \"percentile_measure\": 1025.66}, {\"V\": 44.92, \"percentile_measure\": 1025.54}, {\"V\": 36.71, \"percentile_measure\": 1025.4785}, {\"V\": 40.78, \"percentile_measure\": 1025.4470000000001}, {\"V\": 45.78, \"percentile_measure\": 1025.27}, {\"V\": 40.96, \"percentile_measure\": 1025.2160000000001}, {\"V\": 44.0, \"percentile_measure\": 1025.184}, {\"V\": 41.01, \"percentile_measure\": 1025.1465}, {\"V\": 45.08, \"percentile_measure\": 1024.9775}, {\"V\": 44.84, \"percentile_measure\": 1024.8525}, {\"V\": 39.18, \"percentile_measure\": 1024.607}, {\"V\": 41.76, \"percentile_measure\": 1024.04}, {\"V\": 39.04, \"percentile_measure\": 1023.95}, {\"V\": 37.73, \"percentile_measure\": 1023.9359999999999}, {\"V\": 40.72, \"percentile_measure\": 1023.874}, {\"V\": 45.0, \"percentile_measure\": 1023.8075}, {\"V\": 44.68, \"percentile_measure\": 1023.4625000000001}, {\"V\": 36.43, \"percentile_measure\": 1023.42}, {\"V\": 43.99, \"percentile_measure\": 1023.396}, {\"V\": 38.01, \"percentile_measure\": 1023.3389999999999}, {\"V\": 40.56, \"percentile_measure\": 1023.25}, {\"V\": 40.92, \"percentile_measure\": 1023.242}, {\"V\": 43.8, \"percentile_measure\": 1023.2045}, {\"V\": 41.16, \"percentile_measure\": 1023.1709999999999}, {\"V\": 41.93, \"percentile_measure\": 1023.124}, {\"V\": 40.55, \"percentile_measure\": 1023.106}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 59.59}"}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_1b1eb730683025a7/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "n20",
+  "started_at": "2026-05-19T15:56:05.154355+00:00",
+  "ended_at": "2026-05-19T15:56:28.296173+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n20_1b1eb730683025a7",
+    "problem_id": "v2p_n20_5dc294f1381825f8",
+    "dataset_id": "n20",
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_concentration_consistency",
+    "intended_facet_id": "rare_target_concentration",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=V, measure_col=AP.",
+    "bindings": {
+      "group_col": "V",
+      "measure_col": "AP",
+      "top_k": 10,
+      "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": 1017.26,
+      "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
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "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;",
+    "notes": [
+      "default_facets=rare_target_concentration",
+      "template_selection_mode=rule",
+      "problem_index_within_template=7",
+      "sql_variant_index=1/2",
+      "binding_index=90"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 8,
+    "problem_index_within_template": 7,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n20/sql/v2q_n20_1b1eb730683025a7.sql",
+  "usage_summary": {
+    "dataset_id": "n20",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n20_1b1eb730683025a7",
+    "api_calls": 0,
+    "input_tokens": 13557,
+    "cached_input_tokens": 12032,
+    "output_tokens": 1107,
+    "total_tokens": 14664,
+    "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": 23077.99,
+    "sql_execution_elapsed_ms_total": 59.59,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_1b1eb730683025a7/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_1b1eb730683025a7/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:56:28.234452+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 23077.99, "started_at": "2026-05-19T15:56:05.155181+00:00", "ended_at": "2026-05-19T15:56:28.233204+00:00", "prompt_metrics": {"chars": 4723, "bytes_utf8": 4723, "lines": 156, "estimated_tokens": null}, "response_metrics": {"chars": 1582, "bytes_utf8": 1582, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13557, "cached_input_tokens": 12032, "output_tokens": 1107, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n  SELECT\\n    CAST(\\\"V\\\" AS REAL) AS \\\"V\\\",\\n    CAST(\\\"AP\\\" AS REAL) AS \\\"AP\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY CAST(\\\"V\\\" AS REAL)\\n      ORDER BY CAST(\\\"AP\\\" AS REAL)\\n    ) AS \\\"rn\\\",\\n    COUNT(*) OVER (\\n      PARTITION BY CAST(\\\"V\\\" AS REAL)\\n    ) AS \\\"cnt\\\"\\n  FROM \\\"n20\\\"\\n  WHERE \\\"V\\\" IS NOT NULL AND \\\"AP\\\" IS NOT NULL\\n),\\n\\\"pos\\\" AS (\\n  SELECT DISTINCT\\n    \\\"V\\\",\\n    (1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS \\\"pos\\\",\\n    CAST((1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"lo_rn\\\",\\n    CASE\\n      WHEN (1.0 + 0.95 * (\\\"cnt\\\" - 1)) = CAST((1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n        THEN CAST((1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n      ELSE CAST((1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER) + 1\\n    END AS \\\"hi_rn\\\"\\n  FROM \\\"ordered\\\"\\n),\\n\\\"picked\\\" AS (\\n  SELECT\\n    p.\\\"V\\\",\\n    p.\\\"pos\\\",\\n    p.\\\"lo_rn\\\",\\n    p.\\\"hi_rn\\\",\\n    MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lo_rn\\\" THEN o.\\\"AP\\\" E"}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_1b1eb730683025a7/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n20",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n20_1b1eb730683025a7",
+  "api_calls": 0,
+  "input_tokens": 13557,
+  "cached_input_tokens": 12032,
+  "output_tokens": 1107,
+  "total_tokens": 14664,
+  "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": 23077.99,
+  "sql_execution_elapsed_ms_total": 59.59,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_1b1eb730683025a7/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_1de8ef00f6589c74/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=V, measure_col=AP.
+Result preview: [{"V": 41.17, "total_measure": 62158.35}, {"V": 70.32, "total_measure": 61584.49}, {"V": 51.43, "total_measure": 47427.15}, {"V": 45.01, "total_measure": 46674.95}, {"V": 68.08, "total_measure": 45538.24}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_1de8ef00f6589c74/generated_sql.sql

@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: n20
+-- family_id: subgroup_structure
+-- canonical_subitem_id: internal_profile_stability
+-- intended_facet_id: subgroup_distribution_shift
+-- variant_semantic_role: collapsed_target_view
+-- template_id: tpl_h2o_group_sum
+-- query_record_id: v2q_n20_1de8ef00f6589c74
+-- problem_id: v2p_n20_58a7ef93a542099f
+-- realization_mode: agent
+-- source_kind: agent
+SELECT CAST("V" AS REAL) AS "V", SUM(CAST("AP" AS REAL)) AS "total_measure"
+FROM "n20"
+GROUP BY CAST("V" AS REAL)
+ORDER BY "total_measure" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_1de8ef00f6589c74/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT CAST(\"V\" AS REAL) AS \"V\", SUM(CAST(\"AP\" AS REAL)) AS \"total_measure\"\nFROM \"n20\"\nGROUP BY CAST(\"V\" AS REAL)\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT CAST(\\\"V\\\" AS REAL) AS \\\"V\\\", SUM(CAST(\\\"AP\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n20\\\"\\nGROUP BY CAST(\\\"V\\\" AS REAL)\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"V\", \"total_measure\"], \"rows\": [{\"V\": 41.17, \"total_measure\": 62158.35}, {\"V\": 70.32, \"total_measure\": 61584.49}, {\"V\": 51.43, \"total_measure\": 47427.15}, {\"V\": 45.01, \"total_measure\": 46674.95}, {\"V\": 68.08, \"total_measure\": 45538.24}, {\"V\": 66.54, \"total_measure\": 44324.13}, {\"V\": 45.87, \"total_measure\": 42369.7}, {\"V\": 58.79, \"total_measure\": 41573.0}, {\"V\": 69.13, \"total_measure\": 41267.63}, {\"V\": 59.21, \"total_measure\": 40624.15}, {\"V\": 41.16, \"total_measure\": 40568.72}, {\"V\": 44.9, \"total_measure\": 39563.05}, {\"V\": 71.14, \"total_measure\": 39540.91}, {\"V\": 41.26, \"total_measure\": 38634.05}, {\"V\": 40.71, \"total_measure\": 37765.090000000004}, {\"V\": 42.86, \"total_measure\": 37739.93}, {\"V\": 39.64, \"total_measure\": 37396.39}, {\"V\": 75.6, \"total_measure\": 36636.68}, {\"V\": 43.14, \"total_measure\": 34488.06}, {\"V\": 44.63, \"total_measure\": 33528.14}, {\"V\": 63.94, \"total_measure\": 33519.08}, {\"V\": 77.95, \"total_measure\": 33415.81}, {\"V\": 39.61, \"total_measure\": 32611.97}, {\"V\": 40.55, \"total_measure\": 32314.53}, {\"V\": 39.72, \"total_measure\": 32284.89}, {\"V\": 40.64, \"total_measure\": 30625.07}, {\"V\": 41.54, \"total_measure\": 30556.78}, {\"V\": 39.16, \"total_measure\": 29380.35}, {\"V\": 39.96, \"total_measure\": 28636.87}, {\"V\": 38.91, \"total_measure\": 28442.9}, {\"V\": 41.79, \"total_measure\": 28330.37}, {\"V\": 70.02, \"total_measure\": 28292.4}, {\"V\": 71.32, \"total_measure\": 28187.18}, {\"V\": 40.81, \"total_measure\": 27589.95}, {\"V\": 40.0, \"total_measure\": 27503.260000000002}, {\"V\": 40.69, \"total_measure\": 27444.51}, {\"V\": 40.77, \"total_measure\": 26433.66}, {\"V\": 41.14, \"total_measure\": 24644.27}, {\"V\": 45.0, \"total_measure\": 24545.45}, {\"V\": 41.01, \"total_measure\": 24523.39}, {\"V\": 41.38, \"total_measure\": 24514.53}, {\"V\": 56.65, \"total_measure\": 24496.31}, {\"V\": 41.58, \"total_measure\": 24461.03}, {\"V\": 44.2, \"total_measure\": 24453.06}, {\"V\": 44.71, \"total_measure\": 24425.01}, {\"V\": 57.76, \"total_measure\": 24421.55}, {\"V\": 44.58, \"total_measure\": 24419.21}, {\"V\": 54.3, \"total_measure\": 24413.39}, {\"V\": 59.87, \"total_measure\": 24406.96}, {\"V\": 43.13, \"total_measure\": 24404.28}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 14.16}"}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_1de8ef00f6589c74/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "n20",
+  "started_at": "2026-05-19T15:30:33.289318+00:00",
+  "ended_at": "2026-05-19T15:30:48.569631+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n20_1de8ef00f6589c74",
+    "problem_id": "v2p_n20_58a7ef93a542099f",
+    "dataset_id": "n20",
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "family_id": "subgroup_structure",
+    "canonical_subitem_id": "internal_profile_stability",
+    "intended_facet_id": "subgroup_distribution_shift",
+    "variant_semantic_role": "collapsed_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=V, measure_col=AP.",
+    "bindings": {
+      "group_col": "V",
+      "measure_col": "AP",
+      "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": 1017.26,
+      "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
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "notes": [
+      "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+      "template_selection_mode=rule",
+      "problem_index_within_template=7",
+      "sql_variant_index=1/2",
+      "binding_index=6"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 1,
+    "problem_index_within_template": 7,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n20/sql/v2q_n20_1de8ef00f6589c74.sql",
+  "usage_summary": {
+    "dataset_id": "n20",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n20_1de8ef00f6589c74",
+    "api_calls": 0,
+    "input_tokens": 13519,
+    "cached_input_tokens": 12032,
+    "output_tokens": 401,
+    "total_tokens": 13920,
+    "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": 15261.31,
+    "sql_execution_elapsed_ms_total": 14.16,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_1de8ef00f6589c74/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_1de8ef00f6589c74/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:30:48.552739+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15261.31, "started_at": "2026-05-19T15:30:33.290251+00:00", "ended_at": "2026-05-19T15:30:48.551591+00:00", "prompt_metrics": {"chars": 4544, "bytes_utf8": 4544, "lines": 156, "estimated_tokens": null}, "response_metrics": {"chars": 399, "bytes_utf8": 399, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13519, "cached_input_tokens": 12032, "output_tokens": 401, "reasoning_output_tokens": 289}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT CAST(\\\"V\\\" AS REAL) AS \\\"V\\\", SUM(CAST(\\\"AP\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n20\\\"\\nGROUP BY CAST(\\\"V\\\" AS REAL)\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the provided Grouped Numeric Sum template with group_col=\\\"V\\\" and measure_col=\\\"AP\\\". Cast both columns to REAL because the SQLite schema stores numeric-looking values as TEXT.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_1de8ef00f6589c74/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n20",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n20_1de8ef00f6589c74",
+  "api_calls": 0,
+  "input_tokens": 13519,
+  "cached_input_tokens": 12032,
+  "output_tokens": 401,
+  "total_tokens": 13920,
+  "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": 15261.31,
+  "sql_execution_elapsed_ms_total": 14.16,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n20/artifacts/v2q_n20_1de8ef00f6589c74/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}