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Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_02140e5b66b708aa/run_manifest.json

@@ -0,0 +1,67 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c8",
+  "started_at": "2026-05-19T16:04:16.909167+00:00",
+  "ended_at": "2026-05-19T16:04:27.090344+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c8_02140e5b66b708aa",
+    "problem_id": "v2p_c8_d3a9ad575acf32f4",
+    "dataset_id": "c8",
+    "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": "count_distribution",
+    "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 count_distribution. Focus on group_col=Google_Index.",
+    "bindings": {
+      "group_col": "Google_Index",
+      "top_k": 15,
+      "top_n": 4,
+      "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": -1.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "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=1",
+      "sql_variant_index=2/2",
+      "binding_index=120"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 11,
+    "problem_index_within_template": 1,
+    "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_b/c8/artifacts/v2q_c8_02140e5b66b708aa/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:04:20.203792+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": 3291.42, "started_at": "2026-05-19T16:04:16.910854+00:00", "ended_at": "2026-05-19T16:04:20.202299+00:00", "prompt_metrics": {"chars": 15467, "bytes_utf8": 15467, "lines": 466, "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-1496-7c22-a01c-353d12cd1746\"}\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": "2026-05-19T16:04:27.090233+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": 5883.29, "started_at": "2026-05-19T16:04:21.205978+00:00", "ended_at": "2026-05-19T16:04:27.089335+00:00", "prompt_metrics": {"chars": 15467, "bytes_utf8": 15467, "lines": 466, "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-257c-7ff2-901c-7047ea0a29d2\"}\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_b/c8/artifacts/v2q_c8_02ee1c24d49a0efb/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=URL_of_Anchor, condition_col=URL_of_Anchor.
+Result preview: [{"URL_of_Anchor": "-1", "condition_ratio": 0.0}, {"URL_of_Anchor": "0", "condition_ratio": null}, {"URL_of_Anchor": "1", "condition_ratio": null}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_02ee1c24d49a0efb/generated_sql.sql

@@ -0,0 +1,24 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c8
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: contrastive_conditional_view
+-- template_id: tpl_m4_group_ratio_two_conditions
+-- query_record_id: v2q_c8_02ee1c24d49a0efb
+-- problem_id: v2p_c8_6511253a866a6ae7
+-- realization_mode: agent
+-- source_kind: agent
+WITH "grouped" AS (
+    SELECT "URL_of_Anchor",
+           SUM(CASE WHEN "URL_of_Anchor" = '0' THEN 1 ELSE 0 END) AS "numerator_count",
+           SUM(CASE WHEN "URL_of_Anchor" = '-1' THEN 1 ELSE 0 END) AS "denominator_count"
+    FROM "c8"
+    GROUP BY "URL_of_Anchor"
+)
+SELECT "URL_of_Anchor",
+       CAST("numerator_count" AS FLOAT) / NULLIF("denominator_count", 0) AS "condition_ratio"
+FROM "grouped"
+ORDER BY "condition_ratio" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_02ee1c24d49a0efb/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_ratio_two_conditions\nWITH \"grouped\" AS (\n    SELECT \"URL_of_Anchor\",\n           SUM(CASE WHEN \"URL_of_Anchor\" = '0' THEN 1 ELSE 0 END) AS \"numerator_count\",\n           SUM(CASE WHEN \"URL_of_Anchor\" = '-1' THEN 1 ELSE 0 END) AS \"denominator_count\"\n    FROM \"c8\"\n    GROUP BY \"URL_of_Anchor\"\n)\nSELECT \"URL_of_Anchor\",\n       CAST(\"numerator_count\" AS FLOAT) / NULLIF(\"denominator_count\", 0) AS \"condition_ratio\"\nFROM \"grouped\"\nORDER BY \"condition_ratio\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH \\\"grouped\\\" AS (\\n    SELECT \\\"URL_of_Anchor\\\",\\n           SUM(CASE WHEN \\\"URL_of_Anchor\\\" = '0' THEN 1 ELSE 0 END) AS \\\"numerator_count\\\",\\n           SUM(CASE WHEN \\\"URL_of_Anchor\\\" = '-1' THEN 1 ELSE 0 END) AS \\\"denominator_count\\\"\\n    FROM \\\"c8\\\"\\n    GROUP BY \\\"URL_of_Anchor\\\"\\n)\\nSELECT \\\"URL_of_Anchor\\\",\\n       CAST(\\\"numerator_count\\\" AS FLOAT) / NULLIF(\\\"denominator_count\\\", 0) AS \\\"condition_ratio\\\"\\nFROM \\\"grouped\\\"\\nORDER BY \\\"condition_ratio\\\" DESC;\", \"columns\": [\"URL_of_Anchor\", \"condition_ratio\"], \"rows\": [{\"URL_of_Anchor\": \"-1\", \"condition_ratio\": 0.0}, {\"URL_of_Anchor\": \"0\", \"condition_ratio\": null}, {\"URL_of_Anchor\": \"1\", \"condition_ratio\": null}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.38}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_02ee1c24d49a0efb/run_manifest.json

@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c8",
+  "started_at": "2026-05-19T15:42:06.487331+00:00",
+  "ended_at": "2026-05-19T15:42:30.841737+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c8_02ee1c24d49a0efb",
+    "problem_id": "v2p_c8_6511253a866a6ae7",
+    "dataset_id": "c8",
+    "template_id": "tpl_m4_group_ratio_two_conditions",
+    "template_name": "Grouped Ratio of Two Conditions",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "direction_consistency",
+    "intended_facet_id": "conditional_rate_shift",
+    "variant_semantic_role": "contrastive_conditional_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=URL_of_Anchor, condition_col=URL_of_Anchor.",
+    "bindings": {
+      "group_col": "URL_of_Anchor",
+      "condition_col": "URL_of_Anchor",
+      "condition_value": "0",
+      "positive_value": "0",
+      "negative_value": "-1",
+      "top_k": 14,
+      "top_n": 3,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 1.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "condition_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+    "notes": [
+      "default_facets=conditional_rate_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=9",
+      "sql_variant_index=1/1",
+      "binding_index=44"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 4,
+    "problem_index_within_template": 9,
+    "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_b/c8/sql/v2q_c8_02ee1c24d49a0efb.sql",
+  "usage_summary": {
+    "dataset_id": "c8",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c8_02ee1c24d49a0efb",
+    "api_calls": 0,
+    "input_tokens": 16720,
+    "cached_input_tokens": 12032,
+    "output_tokens": 1004,
+    "total_tokens": 17724,
+    "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": 24342.49,
+    "sql_execution_elapsed_ms_total": 5.38,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_02ee1c24d49a0efb/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_02ee1c24d49a0efb/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:42:30.834259+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": 24342.49, "started_at": "2026-05-19T15:42:06.490807+00:00", "ended_at": "2026-05-19T15:42:30.833340+00:00", "prompt_metrics": {"chars": 16294, "bytes_utf8": 16294, "lines": 471, "estimated_tokens": null}, "response_metrics": {"chars": 736, "bytes_utf8": 736, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16720, "cached_input_tokens": 12032, "output_tokens": 1004, "reasoning_output_tokens": 790}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH \\\"grouped\\\" AS (\\n    SELECT \\\"URL_of_Anchor\\\",\\n           SUM(CASE WHEN \\\"URL_of_Anchor\\\" = '0' THEN 1 ELSE 0 END) AS \\\"numerator_count\\\",\\n           SUM(CASE WHEN \\\"URL_of_Anchor\\\" = '-1' THEN 1 ELSE 0 END) AS \\\"denominator_count\\\"\\n    FROM \\\"c8\\\"\\n    GROUP BY \\\"URL_of_Anchor\\\"\\n)\\nSELECT \\\"URL_of_Anchor\\\",\\n       CAST(\\\"numerator_count\\\" AS FLOAT) / NULLIF(\\\"denominator_count\\\", 0) AS \\\"condition_ratio\\\"\\nFROM \\\"grouped\\\"\\nORDER BY \\\"condition_ratio\\\" DESC;\",\"notes\":\"Applied the provided Grouped Ratio of Two Conditions template with both \\\"group_col\\\" and \\\"condition_col\\\" bound to \\\"URL_of_Anchor\\\", using TEXT-safe literals '0' and '-1' from the schema.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_02ee1c24d49a0efb/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c8",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c8_02ee1c24d49a0efb",
+  "api_calls": 0,
+  "input_tokens": 16720,
+  "cached_input_tokens": 12032,
+  "output_tokens": 1004,
+  "total_tokens": 17724,
+  "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": 24342.49,
+  "sql_execution_elapsed_ms_total": 5.38,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_02ee1c24d49a0efb/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_06f2210c2bd0e05e/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=web_traffic, measure_col=having_IP_Address.
+Result preview: [{"web_traffic": "-1", "percentile_measure": 1.0}, {"web_traffic": "0", "percentile_measure": 1.0}, {"web_traffic": "1", "percentile_measure": 1.0}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_06f2210c2bd0e05e/generated_sql.sql

@@ -0,0 +1,32 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c8
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_concentration_consistency
+-- intended_facet_id: rare_target_concentration
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_grouped_percentile_point
+-- query_record_id: v2q_c8_06f2210c2bd0e05e
+-- problem_id: v2p_c8_0d281ce928230c99
+-- realization_mode: agent
+-- source_kind: agent
+WITH ranked AS (
+  SELECT
+    "web_traffic",
+    CAST("having_IP_Address" AS REAL) AS measure_value,
+    ROW_NUMBER() OVER (
+      PARTITION BY "web_traffic"
+      ORDER BY CAST("having_IP_Address" AS REAL)
+    ) AS rn,
+    COUNT(*) OVER (PARTITION BY "web_traffic") AS cnt
+  FROM "c8"
+  WHERE "web_traffic" IS NOT NULL
+    AND "having_IP_Address" IS NOT NULL
+)
+SELECT
+  "web_traffic",
+  measure_value AS percentile_measure
+FROM ranked
+WHERE rn = ((9 * cnt) + 9) / 10
+ORDER BY percentile_measure DESC, "web_traffic";

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_06f2210c2bd0e05e/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 ranked AS (\n  SELECT\n    \"web_traffic\",\n    CAST(\"having_IP_Address\" AS REAL) AS measure_value,\n    ROW_NUMBER() OVER (\n      PARTITION BY \"web_traffic\"\n      ORDER BY CAST(\"having_IP_Address\" AS REAL)\n    ) AS rn,\n    COUNT(*) OVER (PARTITION BY \"web_traffic\") AS cnt\n  FROM \"c8\"\n  WHERE \"web_traffic\" IS NOT NULL\n    AND \"having_IP_Address\" IS NOT NULL\n)\nSELECT\n  \"web_traffic\",\n  measure_value AS percentile_measure\nFROM ranked\nWHERE rn = ((9 * cnt) + 9) / 10\nORDER BY percentile_measure DESC, \"web_traffic\";", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH ranked AS (\\n  SELECT\\n    \\\"web_traffic\\\",\\n    CAST(\\\"having_IP_Address\\\" AS REAL) AS measure_value,\\n    ROW_NUMBER() OVER (\\n      PARTITION BY \\\"web_traffic\\\"\\n      ORDER BY CAST(\\\"having_IP_Address\\\" AS REAL)\\n    ) AS rn,\\n    COUNT(*) OVER (PARTITION BY \\\"web_traffic\\\") AS cnt\\n  FROM \\\"c8\\\"\\n  WHERE \\\"web_traffic\\\" IS NOT NULL\\n    AND \\\"having_IP_Address\\\" IS NOT NULL\\n)\\nSELECT\\n  \\\"web_traffic\\\",\\n  measure_value AS percentile_measure\\nFROM ranked\\nWHERE rn = ((9 * cnt) + 9) / 10\\nORDER BY percentile_measure DESC, \\\"web_traffic\\\";\", \"columns\": [\"web_traffic\", \"percentile_measure\"], \"rows\": [{\"web_traffic\": \"-1\", \"percentile_measure\": 1.0}, {\"web_traffic\": \"0\", \"percentile_measure\": 1.0}, {\"web_traffic\": \"1\", \"percentile_measure\": 1.0}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 23.16}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_06f2210c2bd0e05e/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c8",
+  "started_at": "2026-05-19T15:53:41.152943+00:00",
+  "ended_at": "2026-05-19T15:54:03.265247+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c8_06f2210c2bd0e05e",
+    "problem_id": "v2p_c8_0d281ce928230c99",
+    "dataset_id": "c8",
+    "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": "ranked_signal_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 ranked_signal_view. Focus on group_col=web_traffic, measure_col=having_IP_Address.",
+    "bindings": {
+      "group_col": "web_traffic",
+      "measure_col": "having_IP_Address",
+      "top_k": 12,
+      "top_n": 6,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 1.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "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=4",
+      "sql_variant_index=1/2",
+      "binding_index=87"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 8,
+    "problem_index_within_template": 4,
+    "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_b/c8/sql/v2q_c8_06f2210c2bd0e05e.sql",
+  "usage_summary": {
+    "dataset_id": "c8",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c8_06f2210c2bd0e05e",
+    "api_calls": 0,
+    "input_tokens": 16545,
+    "cached_input_tokens": 15744,
+    "output_tokens": 1390,
+    "total_tokens": 17935,
+    "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": 22084.48,
+    "sql_execution_elapsed_ms_total": 23.16,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_06f2210c2bd0e05e/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_06f2210c2bd0e05e/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:54:03.239740+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": 22084.48, "started_at": "2026-05-19T15:53:41.154431+00:00", "ended_at": "2026-05-19T15:54:03.238936+00:00", "prompt_metrics": {"chars": 15668, "bytes_utf8": 15668, "lines": 468, "estimated_tokens": null}, "response_metrics": {"chars": 822, "bytes_utf8": 822, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16545, "cached_input_tokens": 15744, "output_tokens": 1390, "reasoning_output_tokens": 1162}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH ranked AS (\\n  SELECT\\n    \\\"web_traffic\\\",\\n    CAST(\\\"having_IP_Address\\\" AS REAL) AS measure_value,\\n    ROW_NUMBER() OVER (\\n      PARTITION BY \\\"web_traffic\\\"\\n      ORDER BY CAST(\\\"having_IP_Address\\\" AS REAL)\\n    ) AS rn,\\n    COUNT(*) OVER (PARTITION BY \\\"web_traffic\\\") AS cnt\\n  FROM \\\"c8\\\"\\n  WHERE \\\"web_traffic\\\" IS NOT NULL\\n    AND \\\"having_IP_Address\\\" IS NOT NULL\\n)\\nSELECT\\n  \\\"web_traffic\\\",\\n  measure_value AS percentile_measure\\nFROM ranked\\nWHERE rn = ((9 * cnt) + 9) / 10\\nORDER BY percentile_measure DESC, \\\"web_traffic\\\";\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses the nearest-rank 90th percentile within each \\\"web_traffic\\\" group and casts the TEXT measure column \\\"having_IP_Address\\\" to REAL before ordering.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_06f2210c2bd0e05e/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c8",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c8_06f2210c2bd0e05e",
+  "api_calls": 0,
+  "input_tokens": 16545,
+  "cached_input_tokens": 15744,
+  "output_tokens": 1390,
+  "total_tokens": 17935,
+  "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": 22084.48,
+  "sql_execution_elapsed_ms_total": 23.16,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_06f2210c2bd0e05e/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_07a71c79e7536ffc/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=SSLfinal_State, condition_col=SSLfinal_State.
+Result preview: [{"SSLfinal_State": "-1", "condition_rate": 1.0}, {"SSLfinal_State": "1", "condition_rate": 0.0}, {"SSLfinal_State": "0", "condition_rate": 0.0}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_07a71c79e7536ffc/generated_sql.sql

@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c8
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_m4_group_condition_rate
+-- query_record_id: v2q_c8_07a71c79e7536ffc
+-- problem_id: v2p_c8_e853c17dcd35547a
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "SSLfinal_State",
+       AVG(CASE WHEN "SSLfinal_State" = '-1' THEN 1 ELSE 0 END) AS condition_rate
+FROM "c8"
+GROUP BY "SSLfinal_State"
+ORDER BY condition_rate DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_07a71c79e7536ffc/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 \"SSLfinal_State\",\n       AVG(CASE WHEN \"SSLfinal_State\" = '-1' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"c8\"\nGROUP BY \"SSLfinal_State\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"SSLfinal_State\\\",\\n       AVG(CASE WHEN \\\"SSLfinal_State\\\" = '-1' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"c8\\\"\\nGROUP BY \\\"SSLfinal_State\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"SSLfinal_State\", \"condition_rate\"], \"rows\": [{\"SSLfinal_State\": \"-1\", \"condition_rate\": 1.0}, {\"SSLfinal_State\": \"1\", \"condition_rate\": 0.0}, {\"SSLfinal_State\": \"0\", \"condition_rate\": 0.0}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 9.67}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_07a71c79e7536ffc/run_manifest.json

@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c8",
+  "started_at": "2026-05-19T16:01:15.669969+00:00",
+  "ended_at": "2026-05-19T16:01:24.102545+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c8_07a71c79e7536ffc",
+    "problem_id": "v2p_c8_e853c17dcd35547a",
+    "dataset_id": "c8",
+    "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": "focused_target_view",
+    "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 focused_target_view. Focus on group_col=SSLfinal_State, condition_col=SSLfinal_State.",
+    "bindings": {
+      "group_col": "SSLfinal_State",
+      "condition_col": "SSLfinal_State",
+      "condition_value": "-1",
+      "positive_value": "1",
+      "negative_value": "-1",
+      "top_k": 15,
+      "top_n": 4,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 0.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "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=2/2",
+      "binding_index=100"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 9,
+    "problem_index_within_template": 5,
+    "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_b/c8/sql/v2q_c8_07a71c79e7536ffc.sql",
+  "usage_summary": {
+    "dataset_id": "c8",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c8_07a71c79e7536ffc",
+    "api_calls": 0,
+    "input_tokens": 16568,
+    "cached_input_tokens": 12288,
+    "output_tokens": 258,
+    "total_tokens": 16826,
+    "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": 8416.45,
+    "sql_execution_elapsed_ms_total": 9.67,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_07a71c79e7536ffc/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_07a71c79e7536ffc/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T16:01:24.090041+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": 8416.45, "started_at": "2026-05-19T16:01:15.671809+00:00", "ended_at": "2026-05-19T16:01:24.088298+00:00", "prompt_metrics": {"chars": 15740, "bytes_utf8": 15740, "lines": 471, "estimated_tokens": null}, "response_metrics": {"chars": 400, "bytes_utf8": 400, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16568, "cached_input_tokens": 12288, "output_tokens": 258, "reasoning_output_tokens": 150}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"SSLfinal_State\\\",\\n       AVG(CASE WHEN \\\"SSLfinal_State\\\" = '-1' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"c8\\\"\\nGROUP BY \\\"SSLfinal_State\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the required Grouped Condition Rate template with both group_col and condition_col bound to \\\"SSLfinal_State\\\" and condition_value fixed to '-1'.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_07a71c79e7536ffc/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c8",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c8_07a71c79e7536ffc",
+  "api_calls": 0,
+  "input_tokens": 16568,
+  "cached_input_tokens": 12288,
+  "output_tokens": 258,
+  "total_tokens": 16826,
+  "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": 8416.45,
+  "sql_execution_elapsed_ms_total": 9.67,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_07a71c79e7536ffc/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_08fa2b6aa41d46ef/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=having_IP_Address, measure_col=having_IP_Address.
+Result preview: [{"having_IP_Address": "1", "total_measure": 7262.0}, {"having_IP_Address": "-1", "total_measure": -3793.0}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_08fa2b6aa41d46ef/generated_sql.sql

@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c8
+-- 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_c8_08fa2b6aa41d46ef
+-- problem_id: v2p_c8_8e397c4aa5b6b103
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "having_IP_Address", SUM(CAST("having_IP_Address" AS REAL)) AS "total_measure"
+FROM "c8"
+GROUP BY "having_IP_Address"
+ORDER BY "total_measure" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_08fa2b6aa41d46ef/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 \"having_IP_Address\", SUM(CAST(\"having_IP_Address\" AS REAL)) AS \"total_measure\"\nFROM \"c8\"\nGROUP BY \"having_IP_Address\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"having_IP_Address\\\", SUM(CAST(\\\"having_IP_Address\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"c8\\\"\\nGROUP BY \\\"having_IP_Address\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"having_IP_Address\", \"total_measure\"], \"rows\": [{\"having_IP_Address\": \"1\", \"total_measure\": 7262.0}, {\"having_IP_Address\": \"-1\", \"total_measure\": -3793.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.92}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_08fa2b6aa41d46ef/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c8",
+  "started_at": "2026-05-19T15:28:28.330954+00:00",
+  "ended_at": "2026-05-19T15:28:37.163656+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c8_08fa2b6aa41d46ef",
+    "problem_id": "v2p_c8_8e397c4aa5b6b103",
+    "dataset_id": "c8",
+    "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=having_IP_Address, measure_col=having_IP_Address.",
+    "bindings": {
+      "group_col": "having_IP_Address",
+      "measure_col": "having_IP_Address",
+      "top_k": 15,
+      "top_n": 4,
+      "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": 1.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "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=1",
+      "sql_variant_index=2/2",
+      "binding_index=0"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 1,
+    "problem_index_within_template": 1,
+    "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_b/c8/sql/v2q_c8_08fa2b6aa41d46ef.sql",
+  "usage_summary": {
+    "dataset_id": "c8",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c8_08fa2b6aa41d46ef",
+    "api_calls": 0,
+    "input_tokens": 16507,
+    "cached_input_tokens": 4480,
+    "output_tokens": 285,
+    "total_tokens": 16792,
+    "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": 8825.2,
+    "sql_execution_elapsed_ms_total": 3.92,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_08fa2b6aa41d46ef/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_08fa2b6aa41d46ef/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:28:37.158463+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": 8825.2, "started_at": "2026-05-19T15:28:28.332432+00:00", "ended_at": "2026-05-19T15:28:37.157662+00:00", "prompt_metrics": {"chars": 15504, "bytes_utf8": 15504, "lines": 468, "estimated_tokens": null}, "response_metrics": {"chars": 437, "bytes_utf8": 437, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16507, "cached_input_tokens": 4480, "output_tokens": 285, "reasoning_output_tokens": 174}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"having_IP_Address\\\", SUM(CAST(\\\"having_IP_Address\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"c8\\\"\\nGROUP BY \\\"having_IP_Address\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the required grouped-sum template with \\\"having_IP_Address\\\" as both group and measure. Added CAST to REAL because the schema stores values as TEXT, and SQLite will then sum the numeric-coded values safely.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_08fa2b6aa41d46ef/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c8",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c8_08fa2b6aa41d46ef",
+  "api_calls": 0,
+  "input_tokens": 16507,
+  "cached_input_tokens": 4480,
+  "output_tokens": 285,
+  "total_tokens": 16792,
+  "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": 8825.2,
+  "sql_execution_elapsed_ms_total": 3.92,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_08fa2b6aa41d46ef/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_0902dbd4883f7de4/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=SFH, measure_col=popUpWidnow.
+Result preview: [{"SFH": "-1", "group_value": 5200.0}, {"SFH": "1", "group_value": 1128.0}, {"SFH": "0", "group_value": 453.0}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_0902dbd4883f7de4/generated_sql.sql

@@ -0,0 +1,26 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c8
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_c8_0902dbd4883f7de4
+-- problem_id: v2p_c8_f5df233ab92b3d64
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+    SELECT "SFH", SUM(CAST("popUpWidnow" AS REAL)) AS group_value
+    FROM "c8"
+    GROUP BY "SFH"
+), total AS (
+    SELECT SUM(group_value) AS total_value
+    FROM grouped
+)
+SELECT g."SFH", g.group_value
+FROM grouped AS g
+CROSS JOIN total AS t
+WHERE g.group_value > t.total_value * 0.05
+ORDER BY g.group_value DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_0902dbd4883f7de4/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_tpch_relative_total_threshold\nWITH grouped AS (\n    SELECT \"SFH\", SUM(CAST(\"popUpWidnow\" AS REAL)) AS group_value\n    FROM \"c8\"\n    GROUP BY \"SFH\"\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.\"SFH\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT \\\"SFH\\\", SUM(CAST(\\\"popUpWidnow\\\" AS REAL)) AS group_value\\n    FROM \\\"c8\\\"\\n    GROUP BY \\\"SFH\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT g.\\\"SFH\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\", \"columns\": [\"SFH\", \"group_value\"], \"rows\": [{\"SFH\": \"-1\", \"group_value\": 5200.0}, {\"SFH\": \"1\", \"group_value\": 1128.0}, {\"SFH\": \"0\", \"group_value\": 453.0}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 6.49}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_0902dbd4883f7de4/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c8",
+  "started_at": "2026-05-19T15:49:13.444622+00:00",
+  "ended_at": "2026-05-19T15:49:23.668488+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c8_0902dbd4883f7de4",
+    "problem_id": "v2p_c8_f5df233ab92b3d64",
+    "dataset_id": "c8",
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_mass_similarity",
+    "intended_facet_id": "tail_ranked_signal",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=SFH, measure_col=popUpWidnow.",
+    "bindings": {
+      "group_col": "SFH",
+      "measure_col": "popUpWidnow",
+      "top_k": 17,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 1.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;",
+    "notes": [
+      "default_facets=tail_ranked_signal",
+      "template_selection_mode=rule",
+      "problem_index_within_template=6",
+      "sql_variant_index=2/2",
+      "binding_index=77"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 7,
+    "problem_index_within_template": 6,
+    "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_b/c8/sql/v2q_c8_0902dbd4883f7de4.sql",
+  "usage_summary": {
+    "dataset_id": "c8",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c8_0902dbd4883f7de4",
+    "api_calls": 0,
+    "input_tokens": 16643,
+    "cached_input_tokens": 12032,
+    "output_tokens": 445,
+    "total_tokens": 17088,
+    "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": 10212.06,
+    "sql_execution_elapsed_ms_total": 6.49,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_0902dbd4883f7de4/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_0902dbd4883f7de4/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:49:23.659945+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": 10212.06, "started_at": "2026-05-19T15:49:13.446917+00:00", "ended_at": "2026-05-19T15:49:23.659104+00:00", "prompt_metrics": {"chars": 16019, "bytes_utf8": 16019, "lines": 468, "estimated_tokens": null}, "response_metrics": {"chars": 616, "bytes_utf8": 616, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16643, "cached_input_tokens": 12032, "output_tokens": 445, "reasoning_output_tokens": 275}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT \\\"SFH\\\", SUM(CAST(\\\"popUpWidnow\\\" AS REAL)) AS group_value\\n    FROM \\\"c8\\\"\\n    GROUP BY \\\"SFH\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT g.\\\"SFH\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the required Relative-to-Total Extreme Threshold template with group_col=\\\"SFH\\\" and measure_col=\\\"popUpWidnow\\\". Cast the measure to REAL because the schema stores values as TEXT.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_0902dbd4883f7de4/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c8",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c8_0902dbd4883f7de4",
+  "api_calls": 0,
+  "input_tokens": 16643,
+  "cached_input_tokens": 12032,
+  "output_tokens": 445,
+  "total_tokens": 17088,
+  "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": 10212.06,
+  "sql_execution_elapsed_ms_total": 6.49,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_0902dbd4883f7de4/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_091dbf0d04f8c314/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=having_Sub_Domain, condition_col=having_Sub_Domain.
+Result preview: [{"having_Sub_Domain": "0", "condition_ratio": 0.0}, {"having_Sub_Domain": "-1", "condition_ratio": null}, {"having_Sub_Domain": "1", "condition_ratio": null}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_091dbf0d04f8c314/generated_sql.sql

@@ -0,0 +1,26 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c8
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: contrastive_conditional_view
+-- template_id: tpl_m4_group_ratio_two_conditions
+-- query_record_id: v2q_c8_091dbf0d04f8c314
+-- problem_id: v2p_c8_12cfab09d44f62f9
+-- realization_mode: agent
+-- source_kind: agent
+WITH "grouped" AS (
+    SELECT
+        "having_Sub_Domain",
+        SUM(CASE WHEN "having_Sub_Domain" = '1' THEN 1 ELSE 0 END) AS "numerator_count",
+        SUM(CASE WHEN "having_Sub_Domain" = '0' THEN 1 ELSE 0 END) AS "denominator_count"
+    FROM "c8"
+    GROUP BY "having_Sub_Domain"
+)
+SELECT
+    "having_Sub_Domain",
+    CAST("numerator_count" AS FLOAT) / NULLIF("denominator_count", 0) AS "condition_ratio"
+FROM "grouped"
+ORDER BY "condition_ratio" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_091dbf0d04f8c314/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_ratio_two_conditions\nWITH \"grouped\" AS (\n    SELECT\n        \"having_Sub_Domain\",\n        SUM(CASE WHEN \"having_Sub_Domain\" = '1' THEN 1 ELSE 0 END) AS \"numerator_count\",\n        SUM(CASE WHEN \"having_Sub_Domain\" = '0' THEN 1 ELSE 0 END) AS \"denominator_count\"\n    FROM \"c8\"\n    GROUP BY \"having_Sub_Domain\"\n)\nSELECT\n    \"having_Sub_Domain\",\n    CAST(\"numerator_count\" AS FLOAT) / NULLIF(\"denominator_count\", 0) AS \"condition_ratio\"\nFROM \"grouped\"\nORDER BY \"condition_ratio\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH \\\"grouped\\\" AS (\\n    SELECT\\n        \\\"having_Sub_Domain\\\",\\n        SUM(CASE WHEN \\\"having_Sub_Domain\\\" = '1' THEN 1 ELSE 0 END) AS \\\"numerator_count\\\",\\n        SUM(CASE WHEN \\\"having_Sub_Domain\\\" = '0' THEN 1 ELSE 0 END) AS \\\"denominator_count\\\"\\n    FROM \\\"c8\\\"\\n    GROUP BY \\\"having_Sub_Domain\\\"\\n)\\nSELECT\\n    \\\"having_Sub_Domain\\\",\\n    CAST(\\\"numerator_count\\\" AS FLOAT) / NULLIF(\\\"denominator_count\\\", 0) AS \\\"condition_ratio\\\"\\nFROM \\\"grouped\\\"\\nORDER BY \\\"condition_ratio\\\" DESC;\", \"columns\": [\"having_Sub_Domain\", \"condition_ratio\"], \"rows\": [{\"having_Sub_Domain\": \"0\", \"condition_ratio\": 0.0}, {\"having_Sub_Domain\": \"-1\", \"condition_ratio\": null}, {\"having_Sub_Domain\": \"1\", \"condition_ratio\": null}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 9.99}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_091dbf0d04f8c314/run_manifest.json

@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c8",
+  "started_at": "2026-05-19T15:40:08.346913+00:00",
+  "ended_at": "2026-05-19T15:40:22.140285+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c8_091dbf0d04f8c314",
+    "problem_id": "v2p_c8_12cfab09d44f62f9",
+    "dataset_id": "c8",
+    "template_id": "tpl_m4_group_ratio_two_conditions",
+    "template_name": "Grouped Ratio of Two Conditions",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "direction_consistency",
+    "intended_facet_id": "conditional_rate_shift",
+    "variant_semantic_role": "contrastive_conditional_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=having_Sub_Domain, condition_col=having_Sub_Domain.",
+    "bindings": {
+      "group_col": "having_Sub_Domain",
+      "condition_col": "having_Sub_Domain",
+      "condition_value": "1",
+      "positive_value": "1",
+      "negative_value": "0",
+      "top_k": 12,
+      "top_n": 4,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 1.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "condition_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+    "notes": [
+      "default_facets=conditional_rate_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=2",
+      "sql_variant_index=1/1",
+      "binding_index=37"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 4,
+    "problem_index_within_template": 2,
+    "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_b/c8/sql/v2q_c8_091dbf0d04f8c314.sql",
+  "usage_summary": {
+    "dataset_id": "c8",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c8_091dbf0d04f8c314",
+    "api_calls": 0,
+    "input_tokens": 16720,
+    "cached_input_tokens": 15744,
+    "output_tokens": 691,
+    "total_tokens": 17411,
+    "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": 13777.07,
+    "sql_execution_elapsed_ms_total": 9.99,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_091dbf0d04f8c314/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_091dbf0d04f8c314/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:40:22.127375+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": 13777.07, "started_at": "2026-05-19T15:40:08.348752+00:00", "ended_at": "2026-05-19T15:40:22.125861+00:00", "prompt_metrics": {"chars": 16308, "bytes_utf8": 16308, "lines": 471, "estimated_tokens": null}, "response_metrics": {"chars": 824, "bytes_utf8": 824, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16720, "cached_input_tokens": 15744, "output_tokens": 691, "reasoning_output_tokens": 467}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH \\\"grouped\\\" AS (\\n    SELECT\\n        \\\"having_Sub_Domain\\\",\\n        SUM(CASE WHEN \\\"having_Sub_Domain\\\" = '1' THEN 1 ELSE 0 END) AS \\\"numerator_count\\\",\\n        SUM(CASE WHEN \\\"having_Sub_Domain\\\" = '0' THEN 1 ELSE 0 END) AS \\\"denominator_count\\\"\\n    FROM \\\"c8\\\"\\n    GROUP BY \\\"having_Sub_Domain\\\"\\n)\\nSELECT\\n    \\\"having_Sub_Domain\\\",\\n    CAST(\\\"numerator_count\\\" AS FLOAT) / NULLIF(\\\"denominator_count\\\", 0) AS \\\"condition_ratio\\\"\\nFROM \\\"grouped\\\"\\nORDER BY \\\"condition_ratio\\\" DESC;\",\"notes\":\"Applied the required template with group_col and condition_col both bound to \\\"having_Sub_Domain\\\". Because the grouping column and condition column are identical, groups without any '0' values will yield NULL ratios via NULLIF to avoid division by zero.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_091dbf0d04f8c314/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c8",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c8_091dbf0d04f8c314",
+  "api_calls": 0,
+  "input_tokens": 16720,
+  "cached_input_tokens": 15744,
+  "output_tokens": 691,
+  "total_tokens": 17411,
+  "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": 13777.07,
+  "sql_execution_elapsed_ms_total": 9.99,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_091dbf0d04f8c314/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_0ba14eb9606ee18e/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=having_At_Symbol, measure_col=having_Sub_Domain.
+Result preview: [{"having_At_Symbol": "-1", "double_slash_redirecting": "1", "total_measure": 215.0, "share_within_group": 72.63513513513513}, {"having_At_Symbol": "1", "double_slash_redirecting": "1", "total_measure": 270.0, "share_within_group": 65.69343065693431}, {"having_At_Symbol": "1", "double_slash_redirecting": "-1", "total_measure": 141.0, "share_within_group": 34.306569343065696}, {"having_At_Symbol": "-1", "double_slash_redirecting": "-1", "total_measure": 81.0, "share_within_group": 27.364864864864863}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_0ba14eb9606ee18e/generated_sql.sql

@@ -0,0 +1,26 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c8
+-- 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_tpcds_within_group_share
+-- query_record_id: v2q_c8_0ba14eb9606ee18e
+-- problem_id: v2p_c8_6587ffaa4bebe3d3
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "having_At_Symbol",
+  "double_slash_redirecting",
+  SUM(CAST("having_Sub_Domain" AS REAL)) AS "total_measure",
+  SUM(CAST("having_Sub_Domain" AS REAL)) * 100.0 /
+    NULLIF(
+      SUM(SUM(CAST("having_Sub_Domain" AS REAL))) OVER (PARTITION BY "having_At_Symbol"),
+      0.0
+    ) AS "share_within_group"
+FROM "c8"
+GROUP BY "having_At_Symbol", "double_slash_redirecting"
+ORDER BY "share_within_group" DESC
+LIMIT 14;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_0ba14eb9606ee18e/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_tpcds_within_group_share\nSELECT\n  \"having_At_Symbol\",\n  \"double_slash_redirecting\",\n  SUM(CAST(\"having_Sub_Domain\" AS REAL)) AS \"total_measure\",\n  SUM(CAST(\"having_Sub_Domain\" AS REAL)) * 100.0 /\n    NULLIF(\n      SUM(SUM(CAST(\"having_Sub_Domain\" AS REAL))) OVER (PARTITION BY \"having_At_Symbol\"),\n      0.0\n    ) AS \"share_within_group\"\nFROM \"c8\"\nGROUP BY \"having_At_Symbol\", \"double_slash_redirecting\"\nORDER BY \"share_within_group\" DESC\nLIMIT 14;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"having_At_Symbol\\\",\\n  \\\"double_slash_redirecting\\\",\\n  SUM(CAST(\\\"having_Sub_Domain\\\" AS REAL)) AS \\\"total_measure\\\",\\n  SUM(CAST(\\\"having_Sub_Domain\\\" AS REAL)) * 100.0 /\\n    NULLIF(\\n      SUM(SUM(CAST(\\\"having_Sub_Domain\\\" AS REAL))) OVER (PARTITION BY \\\"having_At_Symbol\\\"),\\n      0.0\\n    ) AS \\\"share_within_group\\\"\\nFROM \\\"c8\\\"\\nGROUP BY \\\"having_At_Symbol\\\", \\\"double_slash_redirecting\\\"\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 14;\", \"columns\": [\"having_At_Symbol\", \"double_slash_redirecting\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"having_At_Symbol\": \"-1\", \"double_slash_redirecting\": \"1\", \"total_measure\": 215.0, \"share_within_group\": 72.63513513513513}, {\"having_At_Symbol\": \"1\", \"double_slash_redirecting\": \"1\", \"total_measure\": 270.0, \"share_within_group\": 65.69343065693431}, {\"having_At_Symbol\": \"1\", \"double_slash_redirecting\": \"-1\", \"total_measure\": 141.0, \"share_within_group\": 34.306569343065696}, {\"having_At_Symbol\": \"-1\", \"double_slash_redirecting\": \"-1\", \"total_measure\": 81.0, \"share_within_group\": 27.364864864864863}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 6.43}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_0ba14eb9606ee18e/run_manifest.json

@@ -0,0 +1,91 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c8",
+  "started_at": "2026-05-19T15:38:59.319692+00:00",
+  "ended_at": "2026-05-19T15:39:29.873533+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c8_0ba14eb9606ee18e",
+    "problem_id": "v2p_c8_6587ffaa4bebe3d3",
+    "dataset_id": "c8",
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "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 Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=having_At_Symbol, measure_col=having_Sub_Domain.",
+    "bindings": {
+      "group_col": "having_At_Symbol",
+      "measure_col": "having_Sub_Domain",
+      "item_col": "double_slash_redirecting",
+      "top_k": 14,
+      "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": 1.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "notes": [
+      "default_facets=pairwise_conditional_dependency",
+      "template_selection_mode=rule",
+      "problem_index_within_template=11",
+      "sql_variant_index=1/2",
+      "binding_index=34"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 3,
+    "problem_index_within_template": 11,
+    "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_b/c8/sql/v2q_c8_0ba14eb9606ee18e.sql",
+  "usage_summary": {
+    "dataset_id": "c8",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c8_0ba14eb9606ee18e",
+    "api_calls": 0,
+    "input_tokens": 16635,
+    "cached_input_tokens": 12032,
+    "output_tokens": 1259,
+    "total_tokens": 17894,
+    "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": 30542.86,
+    "sql_execution_elapsed_ms_total": 6.43,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_0ba14eb9606ee18e/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_0ba14eb9606ee18e/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:39:29.865657+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": 30542.86, "started_at": "2026-05-19T15:38:59.321925+00:00", "ended_at": "2026-05-19T15:39:29.864808+00:00", "prompt_metrics": {"chars": 15927, "bytes_utf8": 15927, "lines": 470, "estimated_tokens": null}, "response_metrics": {"chars": 906, "bytes_utf8": 906, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16635, "cached_input_tokens": 12032, "output_tokens": 1259, "reasoning_output_tokens": 1008}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"having_At_Symbol\\\",\\n  \\\"double_slash_redirecting\\\",\\n  SUM(CAST(\\\"having_Sub_Domain\\\" AS REAL)) AS \\\"total_measure\\\",\\n  SUM(CAST(\\\"having_Sub_Domain\\\" AS REAL)) * 100.0 /\\n    NULLIF(\\n      SUM(SUM(CAST(\\\"having_Sub_Domain\\\" AS REAL))) OVER (PARTITION BY \\\"having_At_Symbol\\\"),\\n      0.0\\n    ) AS \\\"share_within_group\\\"\\nFROM \\\"c8\\\"\\nGROUP BY \\\"having_At_Symbol\\\", \\\"double_slash_redirecting\\\"\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 14;\",\"notes\":\"Uses the requested within-group share template with group_col=\\\"having_At_Symbol\\\", item_col=\\\"double_slash_redirecting\\\", and measure_col=\\\"having_Sub_Domain\\\". The measure is cast from TEXT to REAL, and NULLIF guards against division by zero; interpret results cautiously because the measure is a signed discrete code, so shares are based on summed codes rather than row counts.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_0ba14eb9606ee18e/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c8",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c8_0ba14eb9606ee18e",
+  "api_calls": 0,
+  "input_tokens": 16635,
+  "cached_input_tokens": 12032,
+  "output_tokens": 1259,
+  "total_tokens": 17894,
+  "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": 30542.86,
+  "sql_execution_elapsed_ms_total": 6.43,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_0ba14eb9606ee18e/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_0be4f6896d9d0cf3/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=web_traffic, measure_col=Google_Index.
+Result preview: [{"web_traffic": "0", "Page_Rank": "-1", "total_measure": 1329.0, "share_within_group": 73.87437465258476}, {"web_traffic": "1", "Page_Rank": "-1", "total_measure": 3084.0, "share_within_group": 73.5160905840286}, {"web_traffic": "-1", "Page_Rank": "-1", "total_measure": 1396.0, "share_within_group": 70.39838628340898}, {"web_traffic": "-1", "Page_Rank": "1", "total_measure": 587.0, "share_within_group": 29.601613716591025}, {"web_traffic": "1", "Page_Rank": "1", "total_measure": 1111.0, "share_within_group": 26.483909415971393}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_0be4f6896d9d0cf3/generated_sql.sql

@@ -0,0 +1,22 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c8
+-- 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_tpcds_within_group_share
+-- query_record_id: v2q_c8_0be4f6896d9d0cf3
+-- problem_id: v2p_c8_c13d2218c7605498
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "web_traffic",
+  "Page_Rank",
+  SUM(CAST("Google_Index" AS REAL)) AS total_measure,
+  SUM(CAST("Google_Index" AS REAL)) * 100.0 / SUM(SUM(CAST("Google_Index" AS REAL))) OVER (PARTITION BY "web_traffic") AS share_within_group
+FROM "c8"
+GROUP BY "web_traffic", "Page_Rank"
+ORDER BY share_within_group DESC
+LIMIT 15;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_0be4f6896d9d0cf3/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_tpcds_within_group_share\nSELECT\n  \"web_traffic\",\n  \"Page_Rank\",\n  SUM(CAST(\"Google_Index\" AS REAL)) AS total_measure,\n  SUM(CAST(\"Google_Index\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Google_Index\" AS REAL))) OVER (PARTITION BY \"web_traffic\") AS share_within_group\nFROM \"c8\"\nGROUP BY \"web_traffic\", \"Page_Rank\"\nORDER BY share_within_group DESC\nLIMIT 15;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"web_traffic\\\",\\n  \\\"Page_Rank\\\",\\n  SUM(CAST(\\\"Google_Index\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"Google_Index\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Google_Index\\\" AS REAL))) OVER (PARTITION BY \\\"web_traffic\\\") AS share_within_group\\nFROM \\\"c8\\\"\\nGROUP BY \\\"web_traffic\\\", \\\"Page_Rank\\\"\\nORDER BY share_within_group DESC\\nLIMIT 15;\", \"columns\": [\"web_traffic\", \"Page_Rank\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"web_traffic\": \"0\", \"Page_Rank\": \"-1\", \"total_measure\": 1329.0, \"share_within_group\": 73.87437465258476}, {\"web_traffic\": \"1\", \"Page_Rank\": \"-1\", \"total_measure\": 3084.0, \"share_within_group\": 73.5160905840286}, {\"web_traffic\": \"-1\", \"Page_Rank\": \"-1\", \"total_measure\": 1396.0, \"share_within_group\": 70.39838628340898}, {\"web_traffic\": \"-1\", \"Page_Rank\": \"1\", \"total_measure\": 587.0, \"share_within_group\": 29.601613716591025}, {\"web_traffic\": \"1\", \"Page_Rank\": \"1\", \"total_measure\": 1111.0, \"share_within_group\": 26.483909415971393}, {\"web_traffic\": \"0\", \"Page_Rank\": \"1\", \"total_measure\": 470.0, \"share_within_group\": 26.12562534741523}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 12.75}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_0be4f6896d9d0cf3/run_manifest.json

@@ -0,0 +1,91 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c8",
+  "started_at": "2026-05-19T15:34:33.964098+00:00",
+  "ended_at": "2026-05-19T15:34:47.074478+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c8_0be4f6896d9d0cf3",
+    "problem_id": "v2p_c8_c13d2218c7605498",
+    "dataset_id": "c8",
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "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 Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=web_traffic, measure_col=Google_Index.",
+    "bindings": {
+      "group_col": "web_traffic",
+      "measure_col": "Google_Index",
+      "item_col": "Page_Rank",
+      "top_k": 15,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 1.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "notes": [
+      "default_facets=pairwise_conditional_dependency",
+      "template_selection_mode=rule",
+      "problem_index_within_template=2",
+      "sql_variant_index=2/2",
+      "binding_index=25"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 3,
+    "problem_index_within_template": 2,
+    "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_b/c8/sql/v2q_c8_0be4f6896d9d0cf3.sql",
+  "usage_summary": {
+    "dataset_id": "c8",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c8_0be4f6896d9d0cf3",
+    "api_calls": 0,
+    "input_tokens": 16625,
+    "cached_input_tokens": 15744,
+    "output_tokens": 691,
+    "total_tokens": 17316,
+    "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": 13092.55,
+    "sql_execution_elapsed_ms_total": 12.75,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_0be4f6896d9d0cf3/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_0be4f6896d9d0cf3/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:34:47.059383+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": 13092.55, "started_at": "2026-05-19T15:34:33.965808+00:00", "ended_at": "2026-05-19T15:34:47.058388+00:00", "prompt_metrics": {"chars": 15894, "bytes_utf8": 15894, "lines": 470, "estimated_tokens": null}, "response_metrics": {"chars": 604, "bytes_utf8": 604, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16625, "cached_input_tokens": 15744, "output_tokens": 691, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"web_traffic\\\",\\n  \\\"Page_Rank\\\",\\n  SUM(CAST(\\\"Google_Index\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"Google_Index\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Google_Index\\\" AS REAL))) OVER (PARTITION BY \\\"web_traffic\\\") AS share_within_group\\nFROM \\\"c8\\\"\\nGROUP BY \\\"web_traffic\\\", \\\"Page_Rank\\\"\\nORDER BY share_within_group DESC\\nLIMIT 15;\",\"notes\":\"Uses the requested template with group_col=\\\"web_traffic\\\", item_col=\\\"Page_Rank\\\", and measure_col=\\\"Google_Index\\\". CAST is added because the schema stores these fields as TEXT in SQLite.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_0be4f6896d9d0cf3/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c8",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c8_0be4f6896d9d0cf3",
+  "api_calls": 0,
+  "input_tokens": 16625,
+  "cached_input_tokens": 15744,
+  "output_tokens": 691,
+  "total_tokens": 17316,
+  "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": 13092.55,
+  "sql_execution_elapsed_ms_total": 12.75,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c8/artifacts/v2q_c8_0be4f6896d9d0cf3/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}