diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_1bf8fc06dacea1e9.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_1bf8fc06dacea1e9.sql
new file mode 100644
index 0000000000000000000000000000000000000000..773ef105abaebc2fa80384fcc5061b9b7597e437
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_1bf8fc06dacea1e9.sql
@@ -0,0 +1,24 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m1
+-- 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_m4_quantile_tail_slice
+-- query_record_id: v2q_m1_1bf8fc06dacea1e9
+-- problem_id: v2p_m1_23a15564d1926815
+-- realization_mode: agent
+-- source_kind: agent
+WITH "buckets" AS (
+    SELECT
+        CAST("Job_Satisfaction" AS REAL) AS "Job_Satisfaction",
+        NTILE(10) OVER (ORDER BY CAST("Job_Satisfaction" AS REAL) DESC) AS "tail_bucket"
+    FROM "m1"
+    WHERE "Job_Satisfaction" IS NOT NULL
+)
+SELECT "Job_Satisfaction"
+FROM "buckets"
+WHERE "tail_bucket" = 1
+ORDER BY "Job_Satisfaction" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_1c81aceb60acc633.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_1c81aceb60acc633.sql
new file mode 100644
index 0000000000000000000000000000000000000000..5ab6ecfb6d892afd613c5b96a0e368542780e964
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_1c81aceb60acc633.sql
@@ -0,0 +1,26 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m1
+-- 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_m1_1c81aceb60acc633
+-- problem_id: v2p_m1_beb6fa3fd68c3b56
+-- realization_mode: agent
+-- source_kind: agent
+WITH "grouped" AS (
+    SELECT "Industry", SUM(CAST("Quality_Score" AS REAL)) AS "group_value"
+    FROM "m1"
+    GROUP BY "Industry"
+), "total" AS (
+    SELECT SUM("group_value") AS "total_value"
+    FROM "grouped"
+)
+SELECT g."Industry", g."group_value"
+FROM "grouped" AS g
+CROSS JOIN "total" AS t
+WHERE g."group_value" > t."total_value" * 0.1
+ORDER BY g."group_value" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_1cacaa98c22d42c3.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_1cacaa98c22d42c3.sql
new file mode 100644
index 0000000000000000000000000000000000000000..511fc2a80b333d08dac9d845a6d1ac6e977ec558
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_1cacaa98c22d42c3.sql
@@ -0,0 +1,23 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m1
+-- 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_m4_quantile_tail_slice
+-- query_record_id: v2q_m1_1cacaa98c22d42c3
+-- problem_id: v2p_m1_c35f9b1c9e631696
+-- realization_mode: agent
+-- source_kind: agent
+WITH buckets AS (
+    SELECT
+        "Productivity_Score",
+        NTILE(10) OVER (ORDER BY CAST("Productivity_Score" AS REAL) DESC) AS tail_bucket
+    FROM "m1"
+)
+SELECT "Productivity_Score"
+FROM buckets
+WHERE tail_bucket = 1
+ORDER BY CAST("Productivity_Score" AS REAL) DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_249b31099d1e3aec.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_249b31099d1e3aec.sql
new file mode 100644
index 0000000000000000000000000000000000000000..2455da16e52242f4b2c846046e4e57f7fee11bb0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_249b31099d1e3aec.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: m1
+-- 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_m1_249b31099d1e3aec
+-- problem_id: v2p_m1_d623ff814f884430
+-- realization_mode: agent
+-- source_kind: agent
+WITH "ordered" AS (
+  SELECT
+    "Response_Quality",
+    CAST("Age" AS REAL) AS "age_value",
+    ROW_NUMBER() OVER (
+      PARTITION BY "Response_Quality"
+      ORDER BY CAST("Age" AS REAL)
+    ) AS "rn",
+    COUNT(*) OVER (
+      PARTITION BY "Response_Quality"
+    ) AS "cnt"
+  FROM "m1"
+  WHERE "Age" IS NOT NULL
+),
+"positions" AS (
+  SELECT DISTINCT
+    "Response_Quality",
+    ((("cnt" - 1) * 0.9) + 1.0) AS "pos"
+  FROM "ordered"
+),
+"bounds" AS (
+  SELECT
+    "Response_Quality",
+    "pos",
+    CAST("pos" AS INTEGER) AS "lower_rn",
+    CAST("pos" AS INTEGER) + CASE
+      WHEN "pos" > CAST("pos" AS INTEGER) THEN 1
+      ELSE 0
+    END AS "upper_rn"
+  FROM "positions"
+)
+SELECT
+  b."Response_Quality",
+  CASE
+    WHEN b."lower_rn" = b."upper_rn" THEN
+      MAX(CASE WHEN o."rn" = b."lower_rn" THEN o."age_value" END)
+    ELSE
+      MAX(CASE WHEN o."rn" = b."lower_rn" THEN o."age_value" END) +
+      (b."pos" - b."lower_rn") * (
+        MAX(CASE WHEN o."rn" = b."upper_rn" THEN o."age_value" END) -
+        MAX(CASE WHEN o."rn" = b."lower_rn" THEN o."age_value" END)
+      )
+  END AS "percentile_measure"
+FROM "bounds" AS b
+JOIN "ordered" AS o
+  ON o."Response_Quality" = b."Response_Quality"
+GROUP BY
+  b."Response_Quality",
+  b."pos",
+  b."lower_rn",
+  b."upper_rn"
+ORDER BY "percentile_measure" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_3630c87ccc27f385.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_3630c87ccc27f385.sql
new file mode 100644
index 0000000000000000000000000000000000000000..588cfc19cc29c1b87e75da88ba2bda312619ce89
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_3630c87ccc27f385.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: m1
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: slice_level_consistency
+-- intended_facet_id: conditional_interaction_hotspots
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_c2_filtered_group_count_2d
+-- query_record_id: v2q_m1_3630c87ccc27f385
+-- problem_id: v2p_m1_eae99f02770d939a
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "Has_Children", "Stress_Level", COUNT(*) AS row_count
+FROM "m1"
+WHERE CAST("Stress_Level" AS REAL) >= 7.0
+GROUP BY "Has_Children", "Stress_Level"
+ORDER BY row_count DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_3c2b82ce429ef200.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_3c2b82ce429ef200.sql
new file mode 100644
index 0000000000000000000000000000000000000000..3e4cbb5ce37595a06d8a953ec177e0c958c9f370
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_3c2b82ce429ef200.sql
@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m1
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: value_imbalance_profile
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_cardinality_support_rank_profile
+-- query_record_id: v2q_m1_3c2b82ce429ef200
+-- problem_id: v2p_m1_47534f1c87fff78a
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "Education_Level" AS value_label, COUNT(*) AS support
+    FROM "m1"
+    GROUP BY "Education_Level"
+)
+SELECT
+    value_label,
+    support,
+    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank
+FROM grouped
+ORDER BY support DESC, value_label;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_53277d01856342f6.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_53277d01856342f6.sql
new file mode 100644
index 0000000000000000000000000000000000000000..6da1ecb8a8d1376dde5f807bf32a00241a0eee08
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_53277d01856342f6.sql
@@ -0,0 +1,28 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m1
+-- 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_m1_53277d01856342f6
+-- problem_id: v2p_m1_b1adf7ba4482a0f1
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "Survey_Date",
+  "Commute_Time_Minutes",
+  "total_measure",
+  "total_measure" * 100.0 / SUM("total_measure") OVER (PARTITION BY "Survey_Date") AS "share_within_group"
+FROM (
+  SELECT
+    "Survey_Date",
+    "Commute_Time_Minutes",
+    SUM(CAST("Productivity_Score" AS REAL)) AS "total_measure"
+  FROM "m1"
+  GROUP BY "Survey_Date", "Commute_Time_Minutes"
+)
+ORDER BY "share_within_group" DESC
+LIMIT 12;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_66bccadb790a3123.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_66bccadb790a3123.sql
new file mode 100644
index 0000000000000000000000000000000000000000..9cf298fcbc2e5fa0247133e9dcb7f51b8d5f5595
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_66bccadb790a3123.sql
@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m1
+-- 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_tpcds_within_group_share
+-- query_record_id: v2q_m1_66bccadb790a3123
+-- problem_id: v2p_m1_36f31961263eaac2
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "Survey_Date",
+  "Commute_Time_Minutes",
+  SUM(CAST("Productivity_Score" AS REAL)) AS total_measure,
+  SUM(CAST("Productivity_Score" AS REAL)) * 100.0 / SUM(SUM(CAST("Productivity_Score" AS REAL))) OVER (PARTITION BY "Survey_Date") AS share_within_group
+FROM "m1"
+GROUP BY "Survey_Date", "Commute_Time_Minutes"
+ORDER BY share_within_group DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_7a6589da210c1bd4.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_7a6589da210c1bd4.sql
new file mode 100644
index 0000000000000000000000000000000000000000..b4354869533669e08064de254a9a27812f26558b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_7a6589da210c1bd4.sql
@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m1
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: support_concentration
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_cardinality_support_rank_profile
+-- query_record_id: v2q_m1_7a6589da210c1bd4
+-- problem_id: v2p_m1_301068b55a94c124
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "Gender" AS value_label, COUNT(*) AS support
+    FROM "m1"
+    GROUP BY "Gender"
+)
+SELECT
+    value_label,
+    support,
+    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank
+FROM grouped
+ORDER BY support DESC, value_label;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_ae154c66cfcfc8db.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_ae154c66cfcfc8db.sql
new file mode 100644
index 0000000000000000000000000000000000000000..26d706ceb1b022d5fc78e7e2796f06c81f2a2597
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_ae154c66cfcfc8db.sql
@@ -0,0 +1,26 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m1
+-- 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_m1_ae154c66cfcfc8db
+-- problem_id: v2p_m1_0700623b46bbf458
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+    SELECT "Home_Office_Quality", SUM(CAST("Innovation_Score" AS REAL)) AS group_value
+    FROM "m1"
+    GROUP BY "Home_Office_Quality"
+), total AS (
+    SELECT SUM(group_value) AS total_value
+    FROM grouped
+)
+SELECT g."Home_Office_Quality", 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;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_ae904dc31842a947.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_ae904dc31842a947.sql
new file mode 100644
index 0000000000000000000000000000000000000000..be7a32074e2136094ed16b2eca38f35ab89f974e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_ae904dc31842a947.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: m1
+-- family_id: subgroup_structure
+-- canonical_subitem_id: subgroup_size_stability
+-- intended_facet_id: subgroup_distribution_shift
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_clickbench_group_count
+-- query_record_id: v2q_m1_ae904dc31842a947
+-- problem_id: v2p_m1_a0748ef3f83d4716
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "Team_Collaboration_Frequency", COUNT(*) AS "row_count"
+FROM "m1"
+GROUP BY "Team_Collaboration_Frequency"
+ORDER BY "row_count" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_bbde35724f878391.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_bbde35724f878391.sql
new file mode 100644
index 0000000000000000000000000000000000000000..323f282b8da17b0ebf145a058b2d86100ea4984e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_bbde35724f878391.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: m1
+-- 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_m1_bbde35724f878391
+-- problem_id: v2p_m1_92333ae77b9cc6cf
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "Industry", SUM(CAST("Efficiency_Rating" AS REAL)) AS "total_measure"
+FROM "m1"
+GROUP BY "Industry"
+ORDER BY "total_measure" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c24c10c5a88f3e89.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c24c10c5a88f3e89.sql
new file mode 100644
index 0000000000000000000000000000000000000000..396aaad218571e9f2aec7f04816bc8f26fc24ccb
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c24c10c5a88f3e89.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: m1
+-- 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_m1_c24c10c5a88f3e89
+-- problem_id: v2p_m1_efa43cba80a67eac
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "Company_Size", SUM(CAST("Innovation_Score" AS REAL)) AS "total_measure"
+FROM "m1"
+GROUP BY "Company_Size"
+ORDER BY "total_measure" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c38da853d6c799f6.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c38da853d6c799f6.sql
new file mode 100644
index 0000000000000000000000000000000000000000..0e58d5149db7b3af6183e279a95fbcb15d5dada2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c38da853d6c799f6.sql
@@ -0,0 +1,27 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m1
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: filtered_stable_view
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_m1_c38da853d6c799f6
+-- problem_id: v2p_m1_2dfe55a422e2c976
+-- realization_mode: agent
+-- source_kind: agent
+WITH "grouped" AS (
+    SELECT "Industry", SUM(CAST("Quality_Score" AS REAL)) AS "group_value"
+    FROM "m1"
+    GROUP BY "Industry"
+),
+"total" AS (
+    SELECT SUM("group_value") AS "total_value"
+    FROM "grouped"
+)
+SELECT g."Industry", 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;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c38ddb99037a01c0.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c38ddb99037a01c0.sql
new file mode 100644
index 0000000000000000000000000000000000000000..a8f901d30298d167850f739787fcb26f4f752693
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c38ddb99037a01c0.sql
@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m1
+-- 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_m1_c38ddb99037a01c0
+-- problem_id: v2p_m1_c57fabae5f022d21
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "Stress_Level", "Innovation_Score",
+       SUM(CAST("WFH_Days_Per_Week" AS REAL)) AS total_measure,
+       SUM(CAST("WFH_Days_Per_Week" AS REAL)) * 100.0 / SUM(SUM(CAST("WFH_Days_Per_Week" AS REAL))) OVER (PARTITION BY "Stress_Level") AS share_within_group
+FROM "m1"
+WHERE "Stress_Level" IS NOT NULL
+  AND "Innovation_Score" IS NOT NULL
+  AND "WFH_Days_Per_Week" IS NOT NULL
+  AND TRIM("Stress_Level") <> ''
+  AND TRIM("Innovation_Score") <> ''
+  AND TRIM("WFH_Days_Per_Week") <> ''
+GROUP BY "Stress_Level", "Innovation_Score"
+ORDER BY share_within_group DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_d5258be445612f80.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_d5258be445612f80.sql
new file mode 100644
index 0000000000000000000000000000000000000000..a1430c48c96143456173fa025a806265988468f3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_d5258be445612f80.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: m1
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: slice_level_consistency
+-- intended_facet_id: conditional_interaction_hotspots
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_c2_filtered_group_count_2d
+-- query_record_id: v2q_m1_d5258be445612f80
+-- problem_id: v2p_m1_0dba2323f7ac0476
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "Has_Children", "Team_Collaboration_Frequency", COUNT(*) AS "row_count"
+FROM "m1"
+WHERE CAST("Job_Satisfaction" AS REAL) >= 100.0
+GROUP BY "Has_Children", "Team_Collaboration_Frequency"
+ORDER BY "row_count" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_ebe2f831ba81a22e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_ebe2f831ba81a22e.sql
new file mode 100644
index 0000000000000000000000000000000000000000..c091d57d400d013b444cc25f022657e0ee8c21d0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_ebe2f831ba81a22e.sql
@@ -0,0 +1,31 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: m1
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: filtered_stable_view
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_m1_ebe2f831ba81a22e
+-- problem_id: v2p_m1_61c86b57800495e1
+-- realization_mode: agent
+-- source_kind: agent
+WITH "grouped" AS (
+  SELECT
+    "Manager_Support_Level",
+    SUM(CAST("Meetings_Per_Week" AS REAL)) AS "group_value"
+  FROM "m1"
+  GROUP BY "Manager_Support_Level"
+),
+"total" AS (
+  SELECT SUM("group_value") AS "total_value"
+  FROM "grouped"
+)
+SELECT
+  g."Manager_Support_Level",
+  g."group_value"
+FROM "grouped" AS g
+CROSS JOIN "total" AS t
+WHERE g."group_value" > t."total_value" * 0.1
+ORDER BY g."group_value" DESC;
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_000cdbe19ac46399/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_000cdbe19ac46399/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..8999f02874834ee996b7fbefa929cb0eaff0f16f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_000cdbe19ac46399/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4634, "bytes_utf8": 4634, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 412, "bytes_utf8": 412, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13468, "cached_input_tokens": 12672, "output_tokens": 616, "reasoning_output_tokens": 505}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_000cdbe19ac46399/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_000cdbe19ac46399/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..146ec9d8b0296a12981dcc7b72bc1033253f11fa
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_000cdbe19ac46399/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_000cdbe19ac46399",
+    "api_calls": 0,
+    "input_tokens": 13468,
+    "cached_input_tokens": 12672,
+    "output_tokens": 616,
+    "total_tokens": 14084,
+    "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": 12091.4,
+    "sql_execution_elapsed_ms_total": 383.27,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_000cdbe19ac46399/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_000cdbe19ac46399/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_000cdbe19ac46399/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..978aa92d4a7b9be832ceb7a33f80cc0b39c4f4f2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_000cdbe19ac46399/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:59:21.211884+00:00",
+  "ended_at": "2026-05-19T15:59:33.303314+00:00",
+  "elapsed_ms": 12091.4,
+  "prompt_metrics": {
+    "chars": 4634,
+    "bytes_utf8": 4634,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 764,
+    "bytes_utf8": 764,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 412,
+      "bytes_utf8": 412,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13468,
+      "cached_input_tokens": 12672,
+      "output_tokens": 616,
+      "reasoning_output_tokens": 505
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_000cdbe19ac46399/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_000cdbe19ac46399/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..fd7f3f9e68647a29fb1b0b9bd1a17ee8b86bea45
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_000cdbe19ac46399/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=feature_3, measure_col=feature_3.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "feature_3",
+    "measure_col": "feature_3",
+    "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": 186.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_000cdbe19ac46399/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_000cdbe19ac46399/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..584dd9e8132ea582bb39c065c79c39a165b3d1ee
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_000cdbe19ac46399/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f6-9185-7e93-a0e9-3b0811d27453"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n  \\\"feature_3\\\",\\n  AVG(CAST(\\\"feature_3\\\" AS REAL)) OVER (PARTITION BY \\\"feature_3\\\") AS avg_measure\\nFROM \\\"n12\\\"\\nWHERE \\\"feature_3\\\" IS NOT NULL\\nORDER BY avg_measure DESC;\",\"notes\":\"Uses the requested Window Partition Average template with group_col and measure_col both bound to feature_3. CAST keeps the window AVG numeric in SQLite.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13468,"cached_input_tokens":12672,"output_tokens":616,"reasoning_output_tokens":505}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_000cdbe19ac46399/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_000cdbe19ac46399/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..f380f0e7e6917ae4aa4d42618e70968ef0420bcf
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_000cdbe19ac46399/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT\n  \"feature_3\",\n  AVG(CAST(\"feature_3\" AS REAL)) OVER (PARTITION BY \"feature_3\") AS avg_measure\nFROM \"n12\"\nWHERE \"feature_3\" IS NOT NULL\nORDER BY avg_measure DESC;","notes":"Uses the requested Window Partition Average template with group_col and measure_col both bound to feature_3. CAST keeps the window AVG numeric in SQLite."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_000cdbe19ac46399/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_000cdbe19ac46399/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0090e33f694627e3/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0090e33f694627e3/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..2c9178d7eec227d6f3d727d98dde21ce597fe218
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0090e33f694627e3/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4550, "bytes_utf8": 4550, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 376, "bytes_utf8": 376, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13456, "cached_input_tokens": 12032, "output_tokens": 500, "reasoning_output_tokens": 396}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0090e33f694627e3/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0090e33f694627e3/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..d01b703cf89836e8cf0b7706786e0289a6462bcd
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0090e33f694627e3/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_0090e33f694627e3",
+    "api_calls": 0,
+    "input_tokens": 13456,
+    "cached_input_tokens": 12032,
+    "output_tokens": 500,
+    "total_tokens": 13956,
+    "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": 14140.62,
+    "sql_execution_elapsed_ms_total": 125.95,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0090e33f694627e3/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0090e33f694627e3/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0090e33f694627e3/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..838ce2558ffae57a567ce0050dd29349026b2b7e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0090e33f694627e3/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:30:00.565626+00:00",
+  "ended_at": "2026-05-19T15:30:14.706275+00:00",
+  "elapsed_ms": 14140.62,
+  "prompt_metrics": {
+    "chars": 4550,
+    "bytes_utf8": 4550,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 730,
+    "bytes_utf8": 730,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 376,
+      "bytes_utf8": 376,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13456,
+      "cached_input_tokens": 12032,
+      "output_tokens": 500,
+      "reasoning_output_tokens": 396
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0090e33f694627e3/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0090e33f694627e3/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6eba2376ce9c41519b36f442e87928dfc5534cc7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0090e33f694627e3/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_1, measure_col=feature_2.",
+  "planned_template_id": "tpl_h2o_group_sum",
+  "bindings": {
+    "group_col": "feature_1",
+    "measure_col": "feature_2",
+    "top_k": 19,
+    "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": 104.84,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0090e33f694627e3/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0090e33f694627e3/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6c26657d61f782e2c3547c3cf2b57456ab9852e4
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0090e33f694627e3/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40db-b400-7e81-bc06-7e0b2e9fdbd7"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_1\\\", SUM(CAST(\\\"feature_2\\\" AS REAL)) AS total_measure\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_1\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the planned grouped-sum template with group_col=\\\"feature_1\\\" and measure_col=\\\"feature_2\\\". CAST is used because the schema stores numeric-looking fields as TEXT in SQLite.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13456,"cached_input_tokens":12032,"output_tokens":500,"reasoning_output_tokens":396}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0090e33f694627e3/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0090e33f694627e3/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b5ddd4ca408c92c5cec319458b2a2cc9342e2d31
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0090e33f694627e3/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"feature_1\", SUM(CAST(\"feature_2\" AS REAL)) AS total_measure\nFROM \"n12\"\nGROUP BY \"feature_1\"\nORDER BY total_measure DESC;","notes":"Applied the planned grouped-sum template with group_col=\"feature_1\" and measure_col=\"feature_2\". CAST is used because the schema stores numeric-looking fields as TEXT in SQLite."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0090e33f694627e3/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0090e33f694627e3/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_00999fc963621d8d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_00999fc963621d8d/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..25eb11606d8fb3cc66071a05699c7fb74b74fe9a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_00999fc963621d8d/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5099, "bytes_utf8": 5099, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 626, "bytes_utf8": 626, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13588, "cached_input_tokens": 12032, "output_tokens": 375, "reasoning_output_tokens": 207}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_00999fc963621d8d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_00999fc963621d8d/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..b33843005c968073d15ef6536e86289c1e1a6e7d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_00999fc963621d8d/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_00999fc963621d8d",
+    "api_calls": 0,
+    "input_tokens": 13588,
+    "cached_input_tokens": 12032,
+    "output_tokens": 375,
+    "total_tokens": 13963,
+    "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": 14626.64,
+    "sql_execution_elapsed_ms_total": 113.92,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_00999fc963621d8d/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_00999fc963621d8d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_00999fc963621d8d/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..ee3141c69a09894355f61dfafc09d35bd60fe30a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_00999fc963621d8d/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:43:00.397449+00:00",
+  "ended_at": "2026-05-19T15:43:15.024123+00:00",
+  "elapsed_ms": 14626.64,
+  "prompt_metrics": {
+    "chars": 5099,
+    "bytes_utf8": 5099,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1330,
+    "bytes_utf8": 1330,
+    "lines": 5,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 626,
+      "bytes_utf8": 626,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13588,
+      "cached_input_tokens": 12032,
+      "output_tokens": 375,
+      "reasoning_output_tokens": 207
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_00999fc963621d8d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_00999fc963621d8d/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9b7cf7ab3c5a80ce3a6e0399639ece7783bcafa4
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_00999fc963621d8d/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "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;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=target, measure_col=feature_1.",
+  "planned_template_id": "tpl_tpch_relative_total_threshold",
+  "bindings": {
+    "group_col": "target",
+    "measure_col": "feature_1",
+    "top_k": 15,
+    "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": 100.24,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, 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;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_00999fc963621d8d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_00999fc963621d8d/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8a49e57d5f282ad70177ac6f46ba56f29217e0b8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_00999fc963621d8d/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,5 @@
+{"type":"thread.started","thread_id":"019e40e7-9a11-7000-a9e9-fb79f7517a91"}
+{"type":"turn.started"}
+{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 14223. Please try again in 426ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT \\\"target\\\", SUM(CAST(\\\"feature_1\\\" AS REAL)) AS group_value\\n    FROM \\\"n12\\\"\\n    GROUP BY \\\"target\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT g.\\\"target\\\", 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\":\"Used the required template with group_col=\\\"target\\\" and measure_col=\\\"feature_1\\\". CAST(\\\"feature_1\\\" AS REAL) is applied because the schema stores numeric-looking values as TEXT in SQLite.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13588,"cached_input_tokens":12032,"output_tokens":375,"reasoning_output_tokens":207}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_00999fc963621d8d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_00999fc963621d8d/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..445da3929e80d8977b71d4b69f488789087e8cf9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_00999fc963621d8d/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n    SELECT \"target\", SUM(CAST(\"feature_1\" AS REAL)) AS group_value\n    FROM \"n12\"\n    GROUP BY \"target\"\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.\"target\", 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":"Used the required template with group_col=\"target\" and measure_col=\"feature_1\". CAST(\"feature_1\" AS REAL) is applied because the schema stores numeric-looking values as TEXT in SQLite."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_00999fc963621d8d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_00999fc963621d8d/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_02831a2a3919d4f9/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_02831a2a3919d4f9/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..ef437e60bc2fec6a67028affb0a6a8b01b25da57
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_02831a2a3919d4f9/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4957, "bytes_utf8": 4957, "lines": 146, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 644, "bytes_utf8": 644, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13575, "cached_input_tokens": 12032, "output_tokens": 707, "reasoning_output_tokens": 516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_02831a2a3919d4f9/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_02831a2a3919d4f9/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..9656766467e3922526edaacbd074e20b99dc61b0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_02831a2a3919d4f9/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_02831a2a3919d4f9",
+    "api_calls": 0,
+    "input_tokens": 13575,
+    "cached_input_tokens": 12032,
+    "output_tokens": 707,
+    "total_tokens": 14282,
+    "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": 18525.88,
+    "sql_execution_elapsed_ms_total": 228.32,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_02831a2a3919d4f9/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_02831a2a3919d4f9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_02831a2a3919d4f9/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..b84e4f21922d8b2be67949b0b21c696768d50266
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_02831a2a3919d4f9/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:33:57.457881+00:00",
+  "ended_at": "2026-05-19T15:34:15.983784+00:00",
+  "elapsed_ms": 18525.88,
+  "prompt_metrics": {
+    "chars": 4957,
+    "bytes_utf8": 4957,
+    "lines": 146,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1364,
+    "bytes_utf8": 1364,
+    "lines": 5,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 644,
+      "bytes_utf8": 644,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13575,
+      "cached_input_tokens": 12032,
+      "output_tokens": 707,
+      "reasoning_output_tokens": 516
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_02831a2a3919d4f9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_02831a2a3919d4f9/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a9de233631f40b3c70d684e520d3b4e01cca6e91
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_02831a2a3919d4f9/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,146 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "required_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_3, measure_col=feature_3.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "feature_3",
+    "measure_col": "feature_3",
+    "item_col": "feature_1",
+    "top_k": 16,
+    "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": 163.32,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_02831a2a3919d4f9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_02831a2a3919d4f9/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2a08f9187d3a4a098a41e886775088f08ddee1f1
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_02831a2a3919d4f9/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,5 @@
+{"type":"thread.started","thread_id":"019e40df-5154-7723-aabb-6f1384ef343f"}
+{"type":"turn.started"}
+{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 14210. Please try again in 426ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"feature_3\\\",\\n  \\\"feature_1\\\",\\n  SUM(CAST(\\\"feature_3\\\" AS INTEGER)) AS total_measure,\\n  SUM(CAST(\\\"feature_3\\\" AS INTEGER)) * 100.0 / SUM(SUM(CAST(\\\"feature_3\\\" AS INTEGER))) OVER (PARTITION BY \\\"feature_3\\\") AS share_within_group\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_3\\\", \\\"feature_1\\\"\\nORDER BY share_within_group DESC\\nLIMIT 16;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=\\\"feature_3\\\", item_col=\\\"feature_1\\\", and measure_col=\\\"feature_3\\\". Casted \\\"feature_3\\\" to INTEGER because the schema stores numeric fields as TEXT in SQLite.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13575,"cached_input_tokens":12032,"output_tokens":707,"reasoning_output_tokens":516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_02831a2a3919d4f9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_02831a2a3919d4f9/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..f8873d29e92557fe143794ffd2f64e99fd05afb0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_02831a2a3919d4f9/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n  \"feature_3\",\n  \"feature_1\",\n  SUM(CAST(\"feature_3\" AS INTEGER)) AS total_measure,\n  SUM(CAST(\"feature_3\" AS INTEGER)) * 100.0 / SUM(SUM(CAST(\"feature_3\" AS INTEGER))) OVER (PARTITION BY \"feature_3\") AS share_within_group\nFROM \"n12\"\nGROUP BY \"feature_3\", \"feature_1\"\nORDER BY share_within_group DESC\nLIMIT 16;","notes":"Applied the provided Within-Group Share of Total template with group_col=\"feature_3\", item_col=\"feature_1\", and measure_col=\"feature_3\". Casted \"feature_3\" to INTEGER because the schema stores numeric fields as TEXT in SQLite."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_02831a2a3919d4f9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_02831a2a3919d4f9/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_05d3d81cb0182d3a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_05d3d81cb0182d3a/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..3e1ff5f49e1ec6e4540bb8d7227dbb8113ab0079
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_05d3d81cb0182d3a/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4550, "bytes_utf8": 4550, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 401, "bytes_utf8": 401, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13456, "cached_input_tokens": 12672, "output_tokens": 336, "reasoning_output_tokens": 226}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_05d3d81cb0182d3a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_05d3d81cb0182d3a/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..2da2d7f74db29409da73584e39e7d0ad65a7c377
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_05d3d81cb0182d3a/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_05d3d81cb0182d3a",
+    "api_calls": 0,
+    "input_tokens": 13456,
+    "cached_input_tokens": 12672,
+    "output_tokens": 336,
+    "total_tokens": 13792,
+    "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": 10523.92,
+    "sql_execution_elapsed_ms_total": 121.03,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_05d3d81cb0182d3a/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_05d3d81cb0182d3a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_05d3d81cb0182d3a/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..9e8a7a4d78c8805ed3e57092f8bd005bb26ae534
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_05d3d81cb0182d3a/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:30:52.116748+00:00",
+  "ended_at": "2026-05-19T15:31:02.640706+00:00",
+  "elapsed_ms": 10523.92,
+  "prompt_metrics": {
+    "chars": 4550,
+    "bytes_utf8": 4550,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 755,
+    "bytes_utf8": 755,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 401,
+      "bytes_utf8": 401,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13456,
+      "cached_input_tokens": 12672,
+      "output_tokens": 336,
+      "reasoning_output_tokens": 226
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_05d3d81cb0182d3a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_05d3d81cb0182d3a/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c356984fb94341ed3a1192a02fe3e440d45efb5d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_05d3d81cb0182d3a/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_3, measure_col=feature_1.",
+  "planned_template_id": "tpl_h2o_group_sum",
+  "bindings": {
+    "group_col": "feature_3",
+    "measure_col": "feature_1",
+    "top_k": 16,
+    "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": 100.24,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_05d3d81cb0182d3a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_05d3d81cb0182d3a/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0e97c857a395e183bb82fa756e6ae6c66da7a5d8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_05d3d81cb0182d3a/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40dc-7d5a-7632-84fd-163e6d5a90c3"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_3\\\", SUM(CAST(\\\"feature_1\\\" AS REAL)) AS total_measure\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_3\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the required Grouped Numeric Sum template with group_col bound to \\\"feature_3\\\" and measure_col bound to \\\"feature_1\\\". CAST to REAL is added because the schema stores numeric fields as TEXT in SQLite.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13456,"cached_input_tokens":12672,"output_tokens":336,"reasoning_output_tokens":226}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_05d3d81cb0182d3a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_05d3d81cb0182d3a/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6df38f00cc3ecc1a5edccf3a0b1015fd311a2d3c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_05d3d81cb0182d3a/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"feature_3\", SUM(CAST(\"feature_1\" AS REAL)) AS total_measure\nFROM \"n12\"\nGROUP BY \"feature_3\"\nORDER BY total_measure DESC;","notes":"Used the required Grouped Numeric Sum template with group_col bound to \"feature_3\" and measure_col bound to \"feature_1\". CAST to REAL is added because the schema stores numeric fields as TEXT in SQLite."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_05d3d81cb0182d3a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_05d3d81cb0182d3a/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_086e2e90e6c65e06/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_086e2e90e6c65e06/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..bfa0e084bf449be2c283b08ca686172bf4ad4007
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_086e2e90e6c65e06/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4861, "bytes_utf8": 4861, "lines": 148, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 459, "bytes_utf8": 459, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13552, "cached_input_tokens": 12032, "output_tokens": 452, "reasoning_output_tokens": 320}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_086e2e90e6c65e06/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_086e2e90e6c65e06/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..6f28dcab509806f3ee9fda70cd84ccfcb2fe4365
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_086e2e90e6c65e06/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_086e2e90e6c65e06",
+    "api_calls": 0,
+    "input_tokens": 13552,
+    "cached_input_tokens": 12032,
+    "output_tokens": 452,
+    "total_tokens": 14004,
+    "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": 10598.51,
+    "sql_execution_elapsed_ms_total": 166.5,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_086e2e90e6c65e06/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_086e2e90e6c65e06/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_086e2e90e6c65e06/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..cad1e5e05e04d1e093840d8e8344093b3eb089ae
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_086e2e90e6c65e06/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:38:22.005003+00:00",
+  "ended_at": "2026-05-19T15:38:32.603549+00:00",
+  "elapsed_ms": 10598.51,
+  "prompt_metrics": {
+    "chars": 4861,
+    "bytes_utf8": 4861,
+    "lines": 148,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 826,
+    "bytes_utf8": 826,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 459,
+      "bytes_utf8": 459,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13552,
+      "cached_input_tokens": 12032,
+      "output_tokens": 452,
+      "reasoning_output_tokens": 320
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_086e2e90e6c65e06/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_086e2e90e6c65e06/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3a5a363aa428993818939469dd4cf02a82ec4f62
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_086e2e90e6c65e06/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,148 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_c2_filtered_group_count_2d",
+    "template_name": "Filtered Two-Dimensional Group Count",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;",
+    "required_roles": [
+      "group_col",
+      "group_col_2",
+      "predicate_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=feature_1, group_col_2=feature_2.",
+  "planned_template_id": "tpl_c2_filtered_group_count_2d",
+  "bindings": {
+    "group_col": "feature_1",
+    "group_col_2": "feature_2",
+    "predicate_col": "feature_1",
+    "predicate_op": ">=",
+    "predicate_value": 115.0,
+    "top_k": 13,
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_086e2e90e6c65e06/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_086e2e90e6c65e06/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0565d66dbe591d0eb9643b8c1adedc8f3d1b5ebe
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_086e2e90e6c65e06/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e3-5aaa-7463-93f2-3de2be6e8327"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"feature_1\\\", \\\"feature_2\\\", COUNT(*) AS row_count\\nFROM \\\"n12\\\"\\nWHERE CAST(\\\"feature_1\\\" AS REAL) >= 115.0\\nGROUP BY \\\"feature_1\\\", \\\"feature_2\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Used the required template with group_col=\\\"feature_1\\\", group_col_2=\\\"feature_2\\\", and predicate_col=\\\"feature_1\\\". Applied CAST to REAL in the WHERE clause because the schema stores numeric features as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13552,"cached_input_tokens":12032,"output_tokens":452,"reasoning_output_tokens":320}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_086e2e90e6c65e06/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_086e2e90e6c65e06/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..f73adbb39229a324ec1300a81bff404fa61ab243
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_086e2e90e6c65e06/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"feature_1\", \"feature_2\", COUNT(*) AS row_count\nFROM \"n12\"\nWHERE CAST(\"feature_1\" AS REAL) >= 115.0\nGROUP BY \"feature_1\", \"feature_2\"\nORDER BY row_count DESC;","notes":"Used the required template with group_col=\"feature_1\", group_col_2=\"feature_2\", and predicate_col=\"feature_1\". Applied CAST to REAL in the WHERE clause because the schema stores numeric features as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_086e2e90e6c65e06/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_086e2e90e6c65e06/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0d984224eb676703/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0d984224eb676703/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..c6d95c1d8861431d0c3bc5f9df2b5db98ff1409f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0d984224eb676703/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:53:14.612325+00:00",
+  "ended_at": "2026-05-19T15:53:19.680377+00:00",
+  "elapsed_ms": 5068.02,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4792,
+    "bytes_utf8": 4792,
+    "lines": 147,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0d984224eb676703/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0d984224eb676703/cli/sql_attempt_2.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..c359cab22b6e3b58b6a995d12b4961c57bb6edb3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0d984224eb676703/cli/sql_attempt_2.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:53:20.682482+00:00",
+  "ended_at": "2026-05-19T15:53:23.922680+00:00",
+  "elapsed_ms": 3240.16,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4792,
+    "bytes_utf8": 4792,
+    "lines": 147,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0d984224eb676703/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0d984224eb676703/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..f3441df8e7be5aa8dc4353405850e5b26373b6ee
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0d984224eb676703/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,147 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_3, condition_col=target.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "feature_3",
+    "condition_col": "target",
+    "condition_value": "1",
+    "positive_value": "1",
+    "negative_value": "2",
+    "top_k": 13,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 186.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0d984224eb676703/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0d984224eb676703/cli/sql_prompt_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..f3441df8e7be5aa8dc4353405850e5b26373b6ee
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0d984224eb676703/cli/sql_prompt_attempt_2.txt
@@ -0,0 +1,147 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_3, condition_col=target.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "feature_3",
+    "condition_col": "target",
+    "condition_value": "1",
+    "positive_value": "1",
+    "negative_value": "2",
+    "top_k": 13,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 186.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0d984224eb676703/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0d984224eb676703/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..715cd835fb5a61b3ba280f59a316780b74ece7f0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0d984224eb676703/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f0-f98f-7681-9d9a-754fcc604bd2"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0d984224eb676703/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0d984224eb676703/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..ce3e15bf8a6ea883864d46f91e6a3728dd25eb15
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0d984224eb676703/cli/sql_response_attempt_1.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f0-f98f-7681-9d9a-754fcc604bd2"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0d984224eb676703/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0d984224eb676703/cli/sql_response_attempt_2.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..be6e9e8db8367d7f13af35b97d2cd37d39e5cf31
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0d984224eb676703/cli/sql_response_attempt_2.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f1-1135-7a02-a4f1-85a6b0f91afd"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0d984224eb676703/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0d984224eb676703/cli/sql_response_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..7a75afe10d8540201b30849810beb1ab45ae36b9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0d984224eb676703/cli/sql_response_attempt_2.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f1-1135-7a02-a4f1-85a6b0f91afd"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0d984224eb676703/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0d984224eb676703/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0d984224eb676703/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0d984224eb676703/cli/sql_stderr_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0e7c9e65443e07ae/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0e7c9e65443e07ae/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..8216831baa555d839aaf4ce15d19958a78cc23b0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0e7c9e65443e07ae/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4716, "bytes_utf8": 4716, "lines": 142, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 583, "bytes_utf8": 583, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13507, "cached_input_tokens": 12672, "output_tokens": 589, "reasoning_output_tokens": 424}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0e7c9e65443e07ae/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0e7c9e65443e07ae/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..84a0ea013ec1204c6f8089f982d914708bb97755
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0e7c9e65443e07ae/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_0e7c9e65443e07ae",
+    "api_calls": 0,
+    "input_tokens": 13507,
+    "cached_input_tokens": 12672,
+    "output_tokens": 589,
+    "total_tokens": 14096,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 12519.87,
+    "sql_execution_elapsed_ms_total": 379.62,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0e7c9e65443e07ae/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0e7c9e65443e07ae/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0e7c9e65443e07ae/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..1f118ada3801c5c6e612ffd2b80887ebb0647fc3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0e7c9e65443e07ae/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:40:51.059206+00:00",
+  "ended_at": "2026-05-19T15:41:03.579102+00:00",
+  "elapsed_ms": 12519.87,
+  "prompt_metrics": {
+    "chars": 4716,
+    "bytes_utf8": 4716,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 956,
+    "bytes_utf8": 956,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 583,
+      "bytes_utf8": 583,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13507,
+      "cached_input_tokens": 12672,
+      "output_tokens": 589,
+      "reasoning_output_tokens": 424
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0e7c9e65443e07ae/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0e7c9e65443e07ae/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2179b3e084fa3385971ee67131cef8945b5be7b7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0e7c9e65443e07ae/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_quantile_tail_slice",
+    "template_name": "Quantile Tail Slice",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "sql_skeleton": "WITH buckets AS (\n    SELECT {measure_col},\n           NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n    FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;",
+    "required_roles": [
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_3.",
+  "planned_template_id": "tpl_m4_quantile_tail_slice",
+  "bindings": {
+    "measure_col": "feature_3",
+    "top_k": 10,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 186.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH buckets AS (\n    SELECT {measure_col},\n           NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n    FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0e7c9e65443e07ae/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0e7c9e65443e07ae/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0784c5e6beb1814d18a0a42d0189977d6e6ffeb1
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0e7c9e65443e07ae/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e5-a101-7df3-9662-cb1e5d723d39"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n    SELECT\\n        \\\"feature_3\\\",\\n        CAST(\\\"feature_3\\\" AS REAL) AS \\\"feature_3_num\\\",\\n        NTILE(10) OVER (ORDER BY CAST(\\\"feature_3\\\" AS REAL) DESC) AS tail_bucket\\n    FROM \\\"n12\\\"\\n)\\nSELECT \\\"feature_3\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY \\\"feature_3_num\\\" DESC;\",\"notes\":\"Used the planned Quantile Tail Slice template with measure_col bound to \\\"feature_3\\\". Casted \\\"feature_3\\\" to REAL because the schema stores it as TEXT, ensuring numeric tail bucketing and ordering in SQLite.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13507,"cached_input_tokens":12672,"output_tokens":589,"reasoning_output_tokens":424}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0e7c9e65443e07ae/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0e7c9e65443e07ae/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..bb9faafdc062b2f186476fe7a324054dfaa6690f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0e7c9e65443e07ae/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n    SELECT\n        \"feature_3\",\n        CAST(\"feature_3\" AS REAL) AS \"feature_3_num\",\n        NTILE(10) OVER (ORDER BY CAST(\"feature_3\" AS REAL) DESC) AS tail_bucket\n    FROM \"n12\"\n)\nSELECT \"feature_3\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY \"feature_3_num\" DESC;","notes":"Used the planned Quantile Tail Slice template with measure_col bound to \"feature_3\". Casted \"feature_3\" to REAL because the schema stores it as TEXT, ensuring numeric tail bucketing and ordering in SQLite."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0e7c9e65443e07ae/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0e7c9e65443e07ae/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0f86ea6ac63c842b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0f86ea6ac63c842b/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..03cb32e127c559477786a2f5bac2b226cd5c4b32
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0f86ea6ac63c842b/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4456, "bytes_utf8": 4456, "lines": 142, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 311, "bytes_utf8": 311, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13427, "cached_input_tokens": 12032, "output_tokens": 434, "reasoning_output_tokens": 352}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0f86ea6ac63c842b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0f86ea6ac63c842b/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..27484d6dfd284532ff231a88d62198deec7e6f2c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0f86ea6ac63c842b/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_0f86ea6ac63c842b",
+    "api_calls": 0,
+    "input_tokens": 13427,
+    "cached_input_tokens": 12032,
+    "output_tokens": 434,
+    "total_tokens": 13861,
+    "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": 17736.39,
+    "sql_execution_elapsed_ms_total": 112.31,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0f86ea6ac63c842b/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0f86ea6ac63c842b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0f86ea6ac63c842b/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..4cef1f35f10373183314717b5b61affe2e0c7396
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0f86ea6ac63c842b/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:32:18.053331+00:00",
+  "ended_at": "2026-05-19T15:32:35.789757+00:00",
+  "elapsed_ms": 17736.39,
+  "prompt_metrics": {
+    "chars": 4456,
+    "bytes_utf8": 4456,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1330,
+    "bytes_utf8": 1330,
+    "lines": 6,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 311,
+      "bytes_utf8": 311,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13427,
+      "cached_input_tokens": 12032,
+      "output_tokens": 434,
+      "reasoning_output_tokens": 352
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0f86ea6ac63c842b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0f86ea6ac63c842b/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1fc77b0c4f69ce889464fa9aa0546d3933b87564
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0f86ea6ac63c842b/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_clickbench_group_count",
+    "template_name": "Grouped Count by Category",
+    "primary_family": "subgroup_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=feature_3.",
+  "planned_template_id": "tpl_clickbench_group_count",
+  "bindings": {
+    "group_col": "feature_3",
+    "top_k": 13,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0f86ea6ac63c842b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0f86ea6ac63c842b/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..dec3fabd2e3881657059e05bef6c4035f427e548
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0f86ea6ac63c842b/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,6 @@
+{"type":"thread.started","thread_id":"019e40dd-cd13-7811-accb-dded7e797d4c"}
+{"type":"turn.started"}
+{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 14062. Please try again in 421ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"}
+{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1988157, Requested 14062. Please try again in 66ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"feature_3\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_3\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Counts rows for each distinct \\\"feature_3\\\" value to examine subgroup size distribution using the requested grouped-count template.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13427,"cached_input_tokens":12032,"output_tokens":434,"reasoning_output_tokens":352}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0f86ea6ac63c842b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0f86ea6ac63c842b/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..79163c319c015971ffc70708f706f16c30bcaf64
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0f86ea6ac63c842b/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"feature_3\", COUNT(*) AS \"row_count\"\nFROM \"n12\"\nGROUP BY \"feature_3\"\nORDER BY \"row_count\" DESC;","notes":"Counts rows for each distinct \"feature_3\" value to examine subgroup size distribution using the requested grouped-count template."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0f86ea6ac63c842b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0f86ea6ac63c842b/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0fac57cb1e7c9e1b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0fac57cb1e7c9e1b/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..4bed5659adc052fac74bc6cd0f256e834b793fae
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0fac57cb1e7c9e1b/cli/conversation.jsonl
@@ -0,0 +1,4 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4482, "bytes_utf8": 4482, "lines": 142, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "}
+{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 4482, "bytes_utf8": 4482, "lines": 142, "estimated_tokens": null}}
+{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 381, "bytes_utf8": 381, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13443, "cached_input_tokens": 12672, "output_tokens": 199, "reasoning_output_tokens": 94}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0fac57cb1e7c9e1b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0fac57cb1e7c9e1b/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..375fc51c1cb257be3416d182873ac96c08b92987
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0fac57cb1e7c9e1b/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 2,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_0fac57cb1e7c9e1b",
+    "api_calls": 0,
+    "input_tokens": 13443,
+    "cached_input_tokens": 12672,
+    "output_tokens": 199,
+    "total_tokens": 13642,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 2,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 9779.47,
+    "sql_execution_elapsed_ms_total": 38.27,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0fac57cb1e7c9e1b/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0fac57cb1e7c9e1b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0fac57cb1e7c9e1b/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..6eeedd051ab1ad93082339760f0c5743549ea8a8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0fac57cb1e7c9e1b/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:55:14.566160+00:00",
+  "ended_at": "2026-05-19T15:55:17.807926+00:00",
+  "elapsed_ms": 3241.74,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4482,
+    "bytes_utf8": 4482,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0fac57cb1e7c9e1b/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0fac57cb1e7c9e1b/cli/sql_attempt_2.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..fd47441f2e75813a2ad9be368a015346b3123192
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0fac57cb1e7c9e1b/cli/sql_attempt_2.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:55:18.809934+00:00",
+  "ended_at": "2026-05-19T15:55:25.347716+00:00",
+  "elapsed_ms": 6537.73,
+  "prompt_metrics": {
+    "chars": 4482,
+    "bytes_utf8": 4482,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 716,
+    "bytes_utf8": 716,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 381,
+      "bytes_utf8": 381,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13443,
+      "cached_input_tokens": 12672,
+      "output_tokens": 199,
+      "reasoning_output_tokens": 94
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0fac57cb1e7c9e1b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0fac57cb1e7c9e1b/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..bb5841b7a6ecc1a36659f7deca4e8c2200edd6ad
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0fac57cb1e7c9e1b/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_threshold_rarity_cdf",
+    "template_name": "Threshold Rarity CDF",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};",
+    "required_roles": [
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_2.",
+  "planned_template_id": "tpl_threshold_rarity_cdf",
+  "bindings": {
+    "measure_col": "feature_2",
+    "top_k": 14,
+    "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": 116.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0fac57cb1e7c9e1b/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0fac57cb1e7c9e1b/cli/sql_prompt_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..bb5841b7a6ecc1a36659f7deca4e8c2200edd6ad
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0fac57cb1e7c9e1b/cli/sql_prompt_attempt_2.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_threshold_rarity_cdf",
+    "template_name": "Threshold Rarity CDF",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};",
+    "required_roles": [
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_2.",
+  "planned_template_id": "tpl_threshold_rarity_cdf",
+  "bindings": {
+    "measure_col": "feature_2",
+    "top_k": 14,
+    "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": 116.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0fac57cb1e7c9e1b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0fac57cb1e7c9e1b/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4a3c92bce4fe510d2bdd9989a9172be326023ccb
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0fac57cb1e7c9e1b/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f2-ce2d-7372-b128-1e51defaeef5"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0fac57cb1e7c9e1b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0fac57cb1e7c9e1b/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c5c8811d6d880c39f3c90ac74d6e870774fa1960
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0fac57cb1e7c9e1b/cli/sql_response_attempt_1.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f2-ce2d-7372-b128-1e51defaeef5"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0fac57cb1e7c9e1b/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0fac57cb1e7c9e1b/cli/sql_response_attempt_2.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8267235405b502de66a2f3f881cb1367f743c64e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0fac57cb1e7c9e1b/cli/sql_response_attempt_2.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f2-dea8-7290-ad5a-6f382d486bca"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"feature_2\\\" AS REAL) <= 116.0 THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\\nFROM \\\"n12\\\";\",\"notes\":\"Used the provided Threshold Rarity CDF template with measure_col bound to feature_2 and measure_threshold fixed at 116.0. CAST to REAL is included because the schema stores feature columns as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13443,"cached_input_tokens":12672,"output_tokens":199,"reasoning_output_tokens":94}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0fac57cb1e7c9e1b/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0fac57cb1e7c9e1b/cli/sql_response_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6c16d755d810ad10b918dad0cd79e478c6584eac
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0fac57cb1e7c9e1b/cli/sql_response_attempt_2.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"feature_2\" AS REAL) <= 116.0 THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM \"n12\";","notes":"Used the provided Threshold Rarity CDF template with measure_col bound to feature_2 and measure_threshold fixed at 116.0. CAST to REAL is included because the schema stores feature columns as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0fac57cb1e7c9e1b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0fac57cb1e7c9e1b/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0fac57cb1e7c9e1b/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0fac57cb1e7c9e1b/cli/sql_stderr_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_100c63fde52c99ac/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_100c63fde52c99ac/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..da277a9fca500dc55eaff1c1763779d91983ae06
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_100c63fde52c99ac/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4727, "bytes_utf8": 4727, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 462, "bytes_utf8": 462, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13494, "cached_input_tokens": 12672, "output_tokens": 616, "reasoning_output_tokens": 495}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_100c63fde52c99ac/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_100c63fde52c99ac/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..d8cd59908fc20f8fd6c9d1ba74f4afc821fa2459
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_100c63fde52c99ac/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_100c63fde52c99ac",
+    "api_calls": 0,
+    "input_tokens": 13494,
+    "cached_input_tokens": 12672,
+    "output_tokens": 616,
+    "total_tokens": 14110,
+    "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": 22446.94,
+    "sql_execution_elapsed_ms_total": 93.82,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_100c63fde52c99ac/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_100c63fde52c99ac/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_100c63fde52c99ac/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..b9250578806bd7a2ae7b9612728bc04c0492e3ec
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_100c63fde52c99ac/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:45:09.360284+00:00",
+  "ended_at": "2026-05-19T15:45:31.807250+00:00",
+  "elapsed_ms": 22446.94,
+  "prompt_metrics": {
+    "chars": 4727,
+    "bytes_utf8": 4727,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1151,
+    "bytes_utf8": 1151,
+    "lines": 5,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 462,
+      "bytes_utf8": 462,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13494,
+      "cached_input_tokens": 12672,
+      "output_tokens": 616,
+      "reasoning_output_tokens": 495
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_100c63fde52c99ac/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_100c63fde52c99ac/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..bf33ed7d9f5c2126419c528e194842643fe08384
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_100c63fde52c99ac/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=feature_1, measure_col=feature_1.",
+  "planned_template_id": "tpl_grouped_percentile_point",
+  "bindings": {
+    "group_col": "feature_1",
+    "measure_col": "feature_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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_100c63fde52c99ac/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_100c63fde52c99ac/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..af798d81d59593a7f1fbb07af7416618ab6efe29
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_100c63fde52c99ac/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,5 @@
+{"type":"thread.started","thread_id":"019e40e9-91fb-7211-9d9d-f74efe29fe54"}
+{"type":"turn.started"}
+{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 14129. Please try again in 423ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nSELECT\\n  \\\"feature_1\\\",\\n  CAST(\\\"feature_1\\\" AS REAL) AS percentile_measure\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_1\\\"\\nORDER BY percentile_measure DESC;\",\"notes\":\"SQLite has no PERCENTILE_CONT. Because both the grouping column and measure column are \\\"feature_1\\\", every row within a group has the same measure value, so the 95th percentile for each group is exactly that group's numeric \\\"feature_1\\\" value.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13494,"cached_input_tokens":12672,"output_tokens":616,"reasoning_output_tokens":495}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_100c63fde52c99ac/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_100c63fde52c99ac/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..04496435c2d4f8aed318339665a7c6e5db54708c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_100c63fde52c99ac/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_grouped_percentile_point\nSELECT\n  \"feature_1\",\n  CAST(\"feature_1\" AS REAL) AS percentile_measure\nFROM \"n12\"\nGROUP BY \"feature_1\"\nORDER BY percentile_measure DESC;","notes":"SQLite has no PERCENTILE_CONT. Because both the grouping column and measure column are \"feature_1\", every row within a group has the same measure value, so the 95th percentile for each group is exactly that group's numeric \"feature_1\" value."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_100c63fde52c99ac/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_100c63fde52c99ac/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1053f5bf33a95de8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1053f5bf33a95de8/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..965bfad7fba29a8ebc108f88c501ddfca4b3a5e6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1053f5bf33a95de8/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4956, "bytes_utf8": 4956, "lines": 146, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 599, "bytes_utf8": 599, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13572, "cached_input_tokens": 12288, "output_tokens": 425, "reasoning_output_tokens": 252}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1053f5bf33a95de8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1053f5bf33a95de8/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..411cd9c1440b745346e2e9254ff7aeb9beaae326
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1053f5bf33a95de8/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_1053f5bf33a95de8",
+    "api_calls": 0,
+    "input_tokens": 13572,
+    "cached_input_tokens": 12288,
+    "output_tokens": 425,
+    "total_tokens": 13997,
+    "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": 14561.8,
+    "sql_execution_elapsed_ms_total": 201.38,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1053f5bf33a95de8/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1053f5bf33a95de8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1053f5bf33a95de8/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..9296d1796ec9375bf81b5b7dce0996e7172d5f1e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1053f5bf33a95de8/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:34:31.808604+00:00",
+  "ended_at": "2026-05-19T15:34:46.370430+00:00",
+  "elapsed_ms": 14561.8,
+  "prompt_metrics": {
+    "chars": 4956,
+    "bytes_utf8": 4956,
+    "lines": 146,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 983,
+    "bytes_utf8": 983,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 599,
+      "bytes_utf8": 599,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13572,
+      "cached_input_tokens": 12288,
+      "output_tokens": 425,
+      "reasoning_output_tokens": 252
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1053f5bf33a95de8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1053f5bf33a95de8/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..75119178db2ad877c8c6435de2e03865bf9cd5bc
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1053f5bf33a95de8/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,146 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "required_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=target, measure_col=feature_1.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "target",
+    "measure_col": "feature_1",
+    "item_col": "feature_2",
+    "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": 100.24,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1053f5bf33a95de8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1053f5bf33a95de8/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..29a3d6c14476307701eeb6b984825c14db6cdac9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1053f5bf33a95de8/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40df-d7a4-7c32-8378-60ea0f4a045a"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"target\\\", \\\"feature_2\\\",\\n       SUM(CAST(\\\"feature_1\\\" AS REAL)) AS total_measure,\\n       SUM(CAST(\\\"feature_1\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_1\\\" AS REAL))) OVER (PARTITION BY \\\"target\\\") AS share_within_group\\nFROM \\\"n12\\\"\\nGROUP BY \\\"target\\\", \\\"feature_2\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the provided Within-Group Share of Total template with group_col=\\\"target\\\", item_col=\\\"feature_2\\\", and measure_col=\\\"feature_1\\\". Cast \\\"feature_1\\\" from TEXT to REAL so SQLite can aggregate it numerically.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13572,"cached_input_tokens":12288,"output_tokens":425,"reasoning_output_tokens":252}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1053f5bf33a95de8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1053f5bf33a95de8/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..7415d351b08ec4c340027834549a43ecfdbf610f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1053f5bf33a95de8/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"target\", \"feature_2\",\n       SUM(CAST(\"feature_1\" AS REAL)) AS total_measure,\n       SUM(CAST(\"feature_1\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_1\" AS REAL))) OVER (PARTITION BY \"target\") AS share_within_group\nFROM \"n12\"\nGROUP BY \"target\", \"feature_2\"\nORDER BY share_within_group DESC;","notes":"Used the provided Within-Group Share of Total template with group_col=\"target\", item_col=\"feature_2\", and measure_col=\"feature_1\". Cast \"feature_1\" from TEXT to REAL so SQLite can aggregate it numerically."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1053f5bf33a95de8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1053f5bf33a95de8/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_19a9817509f30434/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_19a9817509f30434/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..373c15a7d162a0f7957ed87e62a53103ca4e7ed1
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_19a9817509f30434/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4725, "bytes_utf8": 4725, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 2291, "bytes_utf8": 2291, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13494, "cached_input_tokens": 12672, "output_tokens": 2423, "reasoning_output_tokens": 1652}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_19a9817509f30434/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_19a9817509f30434/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..d03b538fc98f32fb11db15fe83d9b9d29fa10c25
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_19a9817509f30434/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_19a9817509f30434",
+    "api_calls": 0,
+    "input_tokens": 13494,
+    "cached_input_tokens": 12672,
+    "output_tokens": 2423,
+    "total_tokens": 15917,
+    "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": 40988.11,
+    "sql_execution_elapsed_ms_total": 1114.23,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_19a9817509f30434/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_19a9817509f30434/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_19a9817509f30434/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..3ef98aa8579d9cb9a8143a8cdbdf2816c773e151
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_19a9817509f30434/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:49:31.239699+00:00",
+  "ended_at": "2026-05-19T15:50:12.227837+00:00",
+  "elapsed_ms": 40988.11,
+  "prompt_metrics": {
+    "chars": 4725,
+    "bytes_utf8": 4725,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 2989,
+    "bytes_utf8": 2989,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 2291,
+      "bytes_utf8": 2291,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13494,
+      "cached_input_tokens": 12672,
+      "output_tokens": 2423,
+      "reasoning_output_tokens": 1652
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_19a9817509f30434/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_19a9817509f30434/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..f55aff75a512169952d79655e8a9297edffe3cb0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_19a9817509f30434/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=feature_2, measure_col=feature_3.",
+  "planned_template_id": "tpl_grouped_percentile_point",
+  "bindings": {
+    "group_col": "feature_2",
+    "measure_col": "feature_3",
+    "top_k": 14,
+    "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": 186.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_19a9817509f30434/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_19a9817509f30434/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..060d265525f74e5e6d7d255c158bff1eebf2db46
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_19a9817509f30434/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40ed-90f7-7a60-851f-bebb2f42a573"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n  SELECT\\n    \\\"feature_2\\\" AS \\\"group_col\\\",\\n    CAST(\\\"feature_3\\\" AS REAL) AS \\\"measure_col\\\"\\n  FROM \\\"n12\\\"\\n  WHERE \\\"feature_2\\\" IS NOT NULL\\n    AND \\\"feature_3\\\" IS NOT NULL\\n),\\n\\\"eligible_groups\\\" AS (\\n  SELECT\\n    \\\"group_col\\\",\\n    COUNT(*) AS \\\"group_size\\\"\\n  FROM \\\"base\\\"\\n  GROUP BY \\\"group_col\\\"\\n  HAVING COUNT(*) >= 5\\n),\\n\\\"ranked\\\" AS (\\n  SELECT\\n    b.\\\"group_col\\\",\\n    b.\\\"measure_col\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY b.\\\"group_col\\\"\\n      ORDER BY b.\\\"measure_col\\\"\\n    ) AS \\\"rn\\\",\\n    COUNT(*) OVER (\\n      PARTITION BY b.\\\"group_col\\\"\\n    ) AS \\\"cnt\\\"\\n  FROM \\\"base\\\" AS b\\n  INNER JOIN \\\"eligible_groups\\\" AS g\\n    ON b.\\\"group_col\\\" = g.\\\"group_col\\\"\\n),\\n\\\"params\\\" AS (\\n  SELECT\\n    \\\"group_col\\\",\\n    \\\"cnt\\\",\\n    1.0 + (\\\"cnt\\\" - 1) * 0.9 AS \\\"pos\\\",\\n    CAST(1.0 + (\\\"cnt\\\" - 1) * 0.9 AS INT) AS \\\"lower_rn\\\",\\n    CAST(1.0 + (\\\"cnt\\\" - 1) * 0.9 AS INT) + CASE\\n      WHEN (1.0 + (\\\"cnt\\\" - 1) * 0.9) > CAST(1.0 + (\\\"cnt\\\" - 1) * 0.9 AS INT) THEN 1\\n      ELSE 0\\n    END AS \\\"upper_rn\\\"\\n  FROM \\\"ranked\\\"\\n  GROUP BY \\\"group_col\\\", \\\"cnt\\\"\\n),\\n\\\"bounds\\\" AS (\\n  SELECT\\n    p.\\\"group_col\\\",\\n    p.\\\"pos\\\",\\n    p.\\\"lower_rn\\\",\\n    p.\\\"upper_rn\\\",\\n    MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN r.\\\"measure_col\\\" END) AS \\\"lower_val\\\",\\n    MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN r.\\\"measure_col\\\" END) AS \\\"upper_val\\\"\\n  FROM \\\"params\\\" AS p\\n  INNER JOIN \\\"ranked\\\" AS r\\n    ON r.\\\"group_col\\\" = p.\\\"group_col\\\"\\n  GROUP BY p.\\\"group_col\\\", p.\\\"pos\\\", p.\\\"lower_rn\\\", p.\\\"upper_rn\\\"\\n)\\nSELECT\\n  \\\"group_col\\\" AS \\\"feature_2\\\",\\n  CASE\\n    WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_val\\\"\\n    ELSE \\\"lower_val\\\" + (\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_val\\\" - \\\"lower_val\\\")\\n  END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\"\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"feature_2\\\" DESC\\nLIMIT 14;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this emulates the 90th percentile of \\\"feature_3\\\" within each \\\"feature_2\\\" group using window functions and linear interpolation. It casts the TEXT-stored measure to REAL, filters to groups with at least 5 rows, and returns the top 14 groups by descending percentile value.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13494,"cached_input_tokens":12672,"output_tokens":2423,"reasoning_output_tokens":1652}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_19a9817509f30434/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_19a9817509f30434/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e32dd560a12ad6046901375c01c7ecb4360045ad
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_19a9817509f30434/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"base\" AS (\n  SELECT\n    \"feature_2\" AS \"group_col\",\n    CAST(\"feature_3\" AS REAL) AS \"measure_col\"\n  FROM \"n12\"\n  WHERE \"feature_2\" IS NOT NULL\n    AND \"feature_3\" IS NOT NULL\n),\n\"eligible_groups\" AS (\n  SELECT\n    \"group_col\",\n    COUNT(*) AS \"group_size\"\n  FROM \"base\"\n  GROUP BY \"group_col\"\n  HAVING COUNT(*) >= 5\n),\n\"ranked\" AS (\n  SELECT\n    b.\"group_col\",\n    b.\"measure_col\",\n    ROW_NUMBER() OVER (\n      PARTITION BY b.\"group_col\"\n      ORDER BY b.\"measure_col\"\n    ) AS \"rn\",\n    COUNT(*) OVER (\n      PARTITION BY b.\"group_col\"\n    ) AS \"cnt\"\n  FROM \"base\" AS b\n  INNER JOIN \"eligible_groups\" AS g\n    ON b.\"group_col\" = g.\"group_col\"\n),\n\"params\" AS (\n  SELECT\n    \"group_col\",\n    \"cnt\",\n    1.0 + (\"cnt\" - 1) * 0.9 AS \"pos\",\n    CAST(1.0 + (\"cnt\" - 1) * 0.9 AS INT) AS \"lower_rn\",\n    CAST(1.0 + (\"cnt\" - 1) * 0.9 AS INT) + CASE\n      WHEN (1.0 + (\"cnt\" - 1) * 0.9) > CAST(1.0 + (\"cnt\" - 1) * 0.9 AS INT) THEN 1\n      ELSE 0\n    END AS \"upper_rn\"\n  FROM \"ranked\"\n  GROUP BY \"group_col\", \"cnt\"\n),\n\"bounds\" AS (\n  SELECT\n    p.\"group_col\",\n    p.\"pos\",\n    p.\"lower_rn\",\n    p.\"upper_rn\",\n    MAX(CASE WHEN r.\"rn\" = p.\"lower_rn\" THEN r.\"measure_col\" END) AS \"lower_val\",\n    MAX(CASE WHEN r.\"rn\" = p.\"upper_rn\" THEN r.\"measure_col\" END) AS \"upper_val\"\n  FROM \"params\" AS p\n  INNER JOIN \"ranked\" AS r\n    ON r.\"group_col\" = p.\"group_col\"\n  GROUP BY p.\"group_col\", p.\"pos\", p.\"lower_rn\", p.\"upper_rn\"\n)\nSELECT\n  \"group_col\" AS \"feature_2\",\n  CASE\n    WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_val\"\n    ELSE \"lower_val\" + (\"pos\" - \"lower_rn\") * (\"upper_val\" - \"lower_val\")\n  END AS \"percentile_measure\"\nFROM \"bounds\"\nORDER BY \"percentile_measure\" DESC, \"feature_2\" DESC\nLIMIT 14;","notes":"SQLite does not support PERCENTILE_CONT, so this emulates the 90th percentile of \"feature_3\" within each \"feature_2\" group using window functions and linear interpolation. It casts the TEXT-stored measure to REAL, filters to groups with at least 5 rows, and returns the top 14 groups by descending percentile value."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_19a9817509f30434/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_19a9817509f30434/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1bc8388594c11d0c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1bc8388594c11d0c/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..3941ea4a09a2ec8b6f9e23654ebac8d70da80b81
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1bc8388594c11d0c/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5341, "bytes_utf8": 5341, "lines": 147, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 645, "bytes_utf8": 645, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13657, "cached_input_tokens": 12672, "output_tokens": 567, "reasoning_output_tokens": 396}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1bc8388594c11d0c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1bc8388594c11d0c/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..eb59c2d12f7c1ec6ec9f608ea50666b2f4e28a5d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1bc8388594c11d0c/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_1bc8388594c11d0c",
+    "api_calls": 0,
+    "input_tokens": 13657,
+    "cached_input_tokens": 12672,
+    "output_tokens": 567,
+    "total_tokens": 14224,
+    "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": 11677.38,
+    "sql_execution_elapsed_ms_total": 94.36,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1bc8388594c11d0c/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1bc8388594c11d0c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1bc8388594c11d0c/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..43df3a4296cd67466e0339a26a012d11ce74e8b6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1bc8388594c11d0c/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:37:30.332313+00:00",
+  "ended_at": "2026-05-19T15:37:42.009729+00:00",
+  "elapsed_ms": 11677.38,
+  "prompt_metrics": {
+    "chars": 5341,
+    "bytes_utf8": 5341,
+    "lines": 147,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1010,
+    "bytes_utf8": 1010,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 645,
+      "bytes_utf8": 645,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13657,
+      "cached_input_tokens": 12672,
+      "output_tokens": 567,
+      "reasoning_output_tokens": 396
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1bc8388594c11d0c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1bc8388594c11d0c/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d372716e95e3117f905593deec9cebca9d29e003
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1bc8388594c11d0c/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,147 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_ratio_two_conditions",
+    "template_name": "Grouped Ratio of Two Conditions",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=target, condition_col=target.",
+  "planned_template_id": "tpl_m4_group_ratio_two_conditions",
+  "bindings": {
+    "group_col": "target",
+    "condition_col": "target",
+    "condition_value": "1",
+    "positive_value": "1",
+    "negative_value": "2",
+    "top_k": 14,
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1bc8388594c11d0c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1bc8388594c11d0c/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8e3a87783ec2f693749048f8920a5804c7e875a9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1bc8388594c11d0c/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e2-90db-7540-b285-0ae6e4a6427b"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n    SELECT \\\"target\\\",\\n           SUM(CASE WHEN \\\"target\\\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\\n           SUM(CASE WHEN \\\"target\\\" = '2' THEN 1 ELSE 0 END) AS denominator_count\\n    FROM \\\"n12\\\"\\n    GROUP BY \\\"target\\\"\\n)\\nSELECT \\\"target\\\",\\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Uses the requested grouped ratio template with both group_col and condition_col bound to \\\"target\\\", comparing target='1' against target='2' within each target group.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13657,"cached_input_tokens":12672,"output_tokens":567,"reasoning_output_tokens":396}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1bc8388594c11d0c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1bc8388594c11d0c/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b717710f4dcd2a3da92b15dd79cf5f922a5dcff6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1bc8388594c11d0c/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n    SELECT \"target\",\n           SUM(CASE WHEN \"target\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN \"target\" = '2' THEN 1 ELSE 0 END) AS denominator_count\n    FROM \"n12\"\n    GROUP BY \"target\"\n)\nSELECT \"target\",\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Uses the requested grouped ratio template with both group_col and condition_col bound to \"target\", comparing target='1' against target='2' within each target group."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1bc8388594c11d0c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1bc8388594c11d0c/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1cb9bff2bb699c53/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1cb9bff2bb699c53/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..84e1041bd0acc99c4dc7a4903d331256cb49063d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1cb9bff2bb699c53/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5102, "bytes_utf8": 5102, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 627, "bytes_utf8": 627, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13592, "cached_input_tokens": 12672, "output_tokens": 598, "reasoning_output_tokens": 424}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1cb9bff2bb699c53/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1cb9bff2bb699c53/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..2cc06d79ceb8367904508c8ca4f26e8176d5d465
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1cb9bff2bb699c53/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_1cb9bff2bb699c53",
+    "api_calls": 0,
+    "input_tokens": 13592,
+    "cached_input_tokens": 12672,
+    "output_tokens": 598,
+    "total_tokens": 14190,
+    "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": 10967.22,
+    "sql_execution_elapsed_ms_total": 121.49,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1cb9bff2bb699c53/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1cb9bff2bb699c53/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1cb9bff2bb699c53/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..724771ec2ef12b018c3e0eeb2e67a93c7df5d917
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1cb9bff2bb699c53/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:44:10.142903+00:00",
+  "ended_at": "2026-05-19T15:44:21.110160+00:00",
+  "elapsed_ms": 10967.22,
+  "prompt_metrics": {
+    "chars": 5102,
+    "bytes_utf8": 5102,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 998,
+    "bytes_utf8": 998,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 627,
+      "bytes_utf8": 627,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13592,
+      "cached_input_tokens": 12672,
+      "output_tokens": 598,
+      "reasoning_output_tokens": 424
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1cb9bff2bb699c53/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1cb9bff2bb699c53/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..63a5dc5894ff3140cadc15fda89376f935fd8f1a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1cb9bff2bb699c53/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "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;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_3, measure_col=feature_1.",
+  "planned_template_id": "tpl_tpch_relative_total_threshold",
+  "bindings": {
+    "group_col": "feature_3",
+    "measure_col": "feature_1",
+    "top_k": 13,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, 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;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1cb9bff2bb699c53/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1cb9bff2bb699c53/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..91d0a5fe5cbc9a64ad0bd5296882d18ae37e9b08
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1cb9bff2bb699c53/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e8-aaa7-7420-914d-95cd0485ac77"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT \\\"feature_3\\\", SUM(CAST(\\\"feature_1\\\" AS REAL)) AS group_value\\n    FROM \\\"n12\\\"\\n    GROUP BY \\\"feature_3\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT g.\\\"feature_3\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the required template with group_col=\\\"feature_3\\\" and measure_col=\\\"feature_1\\\". CAST(\\\"feature_1\\\" AS REAL) is used because the schema stores numeric-looking values as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13592,"cached_input_tokens":12672,"output_tokens":598,"reasoning_output_tokens":424}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1cb9bff2bb699c53/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1cb9bff2bb699c53/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..26c2e3d406113b3351cb42e0480c01a10346752a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1cb9bff2bb699c53/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n    SELECT \"feature_3\", SUM(CAST(\"feature_1\" AS REAL)) AS group_value\n    FROM \"n12\"\n    GROUP BY \"feature_3\"\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.\"feature_3\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Applied the required template with group_col=\"feature_3\" and measure_col=\"feature_1\". CAST(\"feature_1\" AS REAL) is used because the schema stores numeric-looking values as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1cb9bff2bb699c53/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1cb9bff2bb699c53/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1d1d175a128d91f9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1d1d175a128d91f9/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..311210a6e7d5a8c6f9dd9ec4f97816bae75126d6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1d1d175a128d91f9/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:57:21.135743+00:00",
+  "ended_at": "2026-05-19T15:57:24.460448+00:00",
+  "elapsed_ms": 3324.66,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4529,
+    "bytes_utf8": 4529,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1d1d175a128d91f9/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1d1d175a128d91f9/cli/sql_attempt_2.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..d0455df903d2d0308117b1ec99a8e4960c8217b6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1d1d175a128d91f9/cli/sql_attempt_2.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:57:25.462484+00:00",
+  "ended_at": "2026-05-19T15:57:28.680262+00:00",
+  "elapsed_ms": 3217.73,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4529,
+    "bytes_utf8": 4529,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1d1d175a128d91f9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1d1d175a128d91f9/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..7ceeb4e1945eb960108b95c75f10cd2c1b7b9ffa
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1d1d175a128d91f9/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=target.",
+  "planned_template_id": "tpl_tail_low_support_group_count_v2",
+  "bindings": {
+    "group_col": "target",
+    "top_k": 13,
+    "top_n": 6,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1d1d175a128d91f9/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1d1d175a128d91f9/cli/sql_prompt_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..7ceeb4e1945eb960108b95c75f10cd2c1b7b9ffa
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1d1d175a128d91f9/cli/sql_prompt_attempt_2.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=target.",
+  "planned_template_id": "tpl_tail_low_support_group_count_v2",
+  "bindings": {
+    "group_col": "target",
+    "top_k": 13,
+    "top_n": 6,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1d1d175a128d91f9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1d1d175a128d91f9/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..fd72f41e59e1202c64927b4017380436d967cc81
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1d1d175a128d91f9/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f4-bc76-7d82-a836-ce21b2fc1e8f"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1d1d175a128d91f9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1d1d175a128d91f9/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6a3078741c70daea6980a9eb5770a924fcaaa179
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1d1d175a128d91f9/cli/sql_response_attempt_1.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f4-bc76-7d82-a836-ce21b2fc1e8f"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1d1d175a128d91f9/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1d1d175a128d91f9/cli/sql_response_attempt_2.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..985dca3e99a437403a707a17bb72eb5907bf3602
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1d1d175a128d91f9/cli/sql_response_attempt_2.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f4-cd7c-75e0-b17d-52ef1f37108e"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1d1d175a128d91f9/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1d1d175a128d91f9/cli/sql_response_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..fa082bb6cc31813649522844206f5230875d7d24
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1d1d175a128d91f9/cli/sql_response_attempt_2.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f4-cd7c-75e0-b17d-52ef1f37108e"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1d1d175a128d91f9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1d1d175a128d91f9/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1d1d175a128d91f9/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1d1d175a128d91f9/cli/sql_stderr_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1dd23f0effff2dcf/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1dd23f0effff2dcf/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..7efb91fb75f74ba4674f84ceb75ae1db104a0c77
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1dd23f0effff2dcf/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4548, "bytes_utf8": 4548, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 413, "bytes_utf8": 413, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13456, "cached_input_tokens": 12032, "output_tokens": 510, "reasoning_output_tokens": 397}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1dd23f0effff2dcf/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1dd23f0effff2dcf/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..20edfa7560c659042ea4fd6a906d0161edbdb6f6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1dd23f0effff2dcf/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_1dd23f0effff2dcf",
+    "api_calls": 0,
+    "input_tokens": 13456,
+    "cached_input_tokens": 12032,
+    "output_tokens": 510,
+    "total_tokens": 13966,
+    "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": 11649.16,
+    "sql_execution_elapsed_ms_total": 117.31,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1dd23f0effff2dcf/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1dd23f0effff2dcf/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1dd23f0effff2dcf/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..a5b4d51d2188d6a3b5fd91cc08e43cc8e811b3d2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1dd23f0effff2dcf/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:29:48.792006+00:00",
+  "ended_at": "2026-05-19T15:30:00.441198+00:00",
+  "elapsed_ms": 11649.16,
+  "prompt_metrics": {
+    "chars": 4548,
+    "bytes_utf8": 4548,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 775,
+    "bytes_utf8": 775,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 413,
+      "bytes_utf8": 413,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13456,
+      "cached_input_tokens": 12032,
+      "output_tokens": 510,
+      "reasoning_output_tokens": 397
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1dd23f0effff2dcf/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1dd23f0effff2dcf/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..7d9feb871f05ce067425f87c03b7df7510af590f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1dd23f0effff2dcf/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_1, measure_col=feature_2.",
+  "planned_template_id": "tpl_h2o_group_sum",
+  "bindings": {
+    "group_col": "feature_1",
+    "measure_col": "feature_2",
+    "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": 116.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1dd23f0effff2dcf/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1dd23f0effff2dcf/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6c7f239c5aefa07985f028b6fb123275c29cdcab
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1dd23f0effff2dcf/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40db-85f8-7ff3-a12d-194134dd9140"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_1\\\", SUM(CAST(\\\"feature_2\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_1\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the planned Grouped Numeric Sum template with \\\"feature_1\\\" as the grouping column and \\\"feature_2\\\" as the summed measure. CAST is used because the schema stores these numeric fields as TEXT in SQLite.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13456,"cached_input_tokens":12032,"output_tokens":510,"reasoning_output_tokens":397}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1dd23f0effff2dcf/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1dd23f0effff2dcf/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..7cd8b84eabfc6e28be799e3c6f0c2555ea5b624b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1dd23f0effff2dcf/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"feature_1\", SUM(CAST(\"feature_2\" AS REAL)) AS \"total_measure\"\nFROM \"n12\"\nGROUP BY \"feature_1\"\nORDER BY \"total_measure\" DESC;","notes":"Applied the planned Grouped Numeric Sum template with \"feature_1\" as the grouping column and \"feature_2\" as the summed measure. CAST is used because the schema stores these numeric fields as TEXT in SQLite."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1dd23f0effff2dcf/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1dd23f0effff2dcf/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e0398700e4c41c6/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e0398700e4c41c6/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..23a816a81ede9817f7752cb2b14739187f5787ea
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e0398700e4c41c6/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4959, "bytes_utf8": 4959, "lines": 146, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 614, "bytes_utf8": 614, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13576, "cached_input_tokens": 12672, "output_tokens": 704, "reasoning_output_tokens": 516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e0398700e4c41c6/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e0398700e4c41c6/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..e8823902233a1710c46a7ef7445003a0559a58a3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e0398700e4c41c6/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_1e0398700e4c41c6",
+    "api_calls": 0,
+    "input_tokens": 13576,
+    "cached_input_tokens": 12672,
+    "output_tokens": 704,
+    "total_tokens": 14280,
+    "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": 15421.91,
+    "sql_execution_elapsed_ms_total": 246.22,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e0398700e4c41c6/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e0398700e4c41c6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e0398700e4c41c6/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..15c6c7592f51288596536df1dc36027e8ac90fdf
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e0398700e4c41c6/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:33:41.781346+00:00",
+  "ended_at": "2026-05-19T15:33:57.203288+00:00",
+  "elapsed_ms": 15421.91,
+  "prompt_metrics": {
+    "chars": 4959,
+    "bytes_utf8": 4959,
+    "lines": 146,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1001,
+    "bytes_utf8": 1001,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 614,
+      "bytes_utf8": 614,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13576,
+      "cached_input_tokens": 12672,
+      "output_tokens": 704,
+      "reasoning_output_tokens": 516
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e0398700e4c41c6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e0398700e4c41c6/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c0dc3481cf77cfc2cf496ed11e35f622bcf6b48b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e0398700e4c41c6/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,146 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "required_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_3, measure_col=feature_3.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "feature_3",
+    "measure_col": "feature_3",
+    "item_col": "feature_1",
+    "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": 186.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e0398700e4c41c6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e0398700e4c41c6/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..89c92581ff465f64e0d84a627f1940532627b667
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e0398700e4c41c6/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40df-141e-71f0-9b67-b85a0b88eb21"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"feature_3\\\",\\n  \\\"feature_1\\\",\\n  SUM(CAST(\\\"feature_3\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"feature_3\\\" AS REAL)) * 100.0\\n    / SUM(SUM(CAST(\\\"feature_3\\\" AS REAL))) OVER (PARTITION BY \\\"feature_3\\\") AS share_within_group\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_3\\\", \\\"feature_1\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the planned Within-Group Share of Total template with group_col=\\\"feature_3\\\", item_col=\\\"feature_1\\\", and measure_col=\\\"feature_3\\\". Casted \\\"feature_3\\\" to REAL because the schema stores it as TEXT in SQLite.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13576,"cached_input_tokens":12672,"output_tokens":704,"reasoning_output_tokens":516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e0398700e4c41c6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e0398700e4c41c6/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..654d6530df4d9ef0409204a1d1f310957b7404a3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e0398700e4c41c6/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n  \"feature_3\",\n  \"feature_1\",\n  SUM(CAST(\"feature_3\" AS REAL)) AS total_measure,\n  SUM(CAST(\"feature_3\" AS REAL)) * 100.0\n    / SUM(SUM(CAST(\"feature_3\" AS REAL))) OVER (PARTITION BY \"feature_3\") AS share_within_group\nFROM \"n12\"\nGROUP BY \"feature_3\", \"feature_1\"\nORDER BY share_within_group DESC;","notes":"Applied the planned Within-Group Share of Total template with group_col=\"feature_3\", item_col=\"feature_1\", and measure_col=\"feature_3\". Casted \"feature_3\" to REAL because the schema stores it as TEXT in SQLite."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e0398700e4c41c6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e0398700e4c41c6/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e77770366094e9c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e77770366094e9c/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..23b3b093d977919ffd7a83f0fef2e2d1927aed6e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e77770366094e9c/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5099, "bytes_utf8": 5099, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 644, "bytes_utf8": 644, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13588, "cached_input_tokens": 12032, "output_tokens": 467, "reasoning_output_tokens": 299}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e77770366094e9c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e77770366094e9c/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..2c4c480cca96df14ba980f5a90d9dc7c0838c1e8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e77770366094e9c/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_1e77770366094e9c",
+    "api_calls": 0,
+    "input_tokens": 13588,
+    "cached_input_tokens": 12032,
+    "output_tokens": 467,
+    "total_tokens": 14055,
+    "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": 14670.82,
+    "sql_execution_elapsed_ms_total": 97.5,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e77770366094e9c/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e77770366094e9c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e77770366094e9c/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..176a123b9f28795aefa3bbc956dc488d869f80be
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e77770366094e9c/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:44:54.585406+00:00",
+  "ended_at": "2026-05-19T15:45:09.256254+00:00",
+  "elapsed_ms": 14670.82,
+  "prompt_metrics": {
+    "chars": 5099,
+    "bytes_utf8": 5099,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1011,
+    "bytes_utf8": 1011,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 644,
+      "bytes_utf8": 644,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13588,
+      "cached_input_tokens": 12032,
+      "output_tokens": 467,
+      "reasoning_output_tokens": 299
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e77770366094e9c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e77770366094e9c/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..56ebc5fb1af1b11210d3ff1f78149ecd52081850
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e77770366094e9c/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "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;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=target, measure_col=feature_2.",
+  "planned_template_id": "tpl_tpch_relative_total_threshold",
+  "bindings": {
+    "group_col": "target",
+    "measure_col": "feature_2",
+    "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": 104.84,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, 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;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e77770366094e9c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e77770366094e9c/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..bb7022575502e9e721553549de5fe4f797224590
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e77770366094e9c/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e9-583a-7c92-80a4-0cb885ce3f18"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT \\\"target\\\", SUM(CAST(\\\"feature_2\\\" AS REAL)) AS group_value\\n    FROM \\\"n12\\\"\\n    GROUP BY \\\"target\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT g.\\\"target\\\", 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\":\"Uses the planned Relative-to-Total Extreme Threshold template with group_col=\\\"target\\\" and measure_col=\\\"feature_2\\\". CAST to REAL is added because the schema stores numeric-looking values as TEXT in SQLite.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13588,"cached_input_tokens":12032,"output_tokens":467,"reasoning_output_tokens":299}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e77770366094e9c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e77770366094e9c/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9aa161334c7d2969b7ff6de78bce05f2dd674df6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e77770366094e9c/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n    SELECT \"target\", SUM(CAST(\"feature_2\" AS REAL)) AS group_value\n    FROM \"n12\"\n    GROUP BY \"target\"\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.\"target\", 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":"Uses the planned Relative-to-Total Extreme Threshold template with group_col=\"target\" and measure_col=\"feature_2\". CAST to REAL is added because the schema stores numeric-looking values as TEXT in SQLite."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e77770366094e9c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_1e77770366094e9c/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_24eb15bae41ce93c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_24eb15bae41ce93c/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..e4c79bed553e5697b4e39417b9b5608b58d7d0c7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_24eb15bae41ce93c/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4724, "bytes_utf8": 4724, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1600, "bytes_utf8": 1600, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13490, "cached_input_tokens": 12672, "output_tokens": 2412, "reasoning_output_tokens": 1861}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_24eb15bae41ce93c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_24eb15bae41ce93c/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..5c499c76097789af51a21b8d4842bf17780bd8e1
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_24eb15bae41ce93c/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_24eb15bae41ce93c",
+    "api_calls": 0,
+    "input_tokens": 13490,
+    "cached_input_tokens": 12672,
+    "output_tokens": 2412,
+    "total_tokens": 15902,
+    "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": 34431.04,
+    "sql_execution_elapsed_ms_total": 867.32,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_24eb15bae41ce93c/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_24eb15bae41ce93c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_24eb15bae41ce93c/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..51f8d3f5dd3557ea000bf0c541716cc9a7e4da12
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_24eb15bae41ce93c/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:51:58.476838+00:00",
+  "ended_at": "2026-05-19T15:52:32.907911+00:00",
+  "elapsed_ms": 34431.04,
+  "prompt_metrics": {
+    "chars": 4724,
+    "bytes_utf8": 4724,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 2231,
+    "bytes_utf8": 2231,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 1600,
+      "bytes_utf8": 1600,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13490,
+      "cached_input_tokens": 12672,
+      "output_tokens": 2412,
+      "reasoning_output_tokens": 1861
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_24eb15bae41ce93c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_24eb15bae41ce93c/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4dfd1bfe6d08713de0c7c012f8e78a446080db7a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_24eb15bae41ce93c/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=target, measure_col=feature_2.",
+  "planned_template_id": "tpl_grouped_percentile_point",
+  "bindings": {
+    "group_col": "target",
+    "measure_col": "feature_2",
+    "top_k": 16,
+    "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": 104.84,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_24eb15bae41ce93c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_24eb15bae41ce93c/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..037b0798476daf0667ca712b36242b0311c5988c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_24eb15bae41ce93c/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40ef-d020-7762-9757-e571e1038b3f"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n  SELECT\\n    \\\"target\\\",\\n    CAST(\\\"feature_2\\\" AS REAL) AS \\\"measure_value\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY \\\"target\\\"\\n      ORDER BY CAST(\\\"feature_2\\\" AS REAL)\\n    ) AS \\\"rn\\\",\\n    COUNT(*) OVER (\\n      PARTITION BY \\\"target\\\"\\n    ) AS \\\"n\\\"\\n  FROM \\\"n12\\\"\\n),\\n\\\"positions\\\" AS (\\n  SELECT DISTINCT\\n    \\\"target\\\",\\n    (1.0 + 0.95 * (\\\"n\\\" - 1)) AS \\\"pos\\\",\\n    CAST((1.0 + 0.95 * (\\\"n\\\" - 1)) AS INTEGER) AS \\\"lo\\\",\\n    CASE\\n      WHEN (1.0 + 0.95 * (\\\"n\\\" - 1)) = CAST((1.0 + 0.95 * (\\\"n\\\" - 1)) AS INTEGER)\\n        THEN CAST((1.0 + 0.95 * (\\\"n\\\" - 1)) AS INTEGER)\\n      ELSE CAST((1.0 + 0.95 * (\\\"n\\\" - 1)) AS INTEGER) + 1\\n    END AS \\\"hi\\\"\\n  FROM \\\"ordered\\\"\\n)\\nSELECT\\n  \\\"p\\\".\\\"target\\\",\\n  CASE\\n    WHEN \\\"p\\\".\\\"lo\\\" = \\\"p\\\".\\\"hi\\\" THEN \\\"lo_row\\\".\\\"measure_value\\\"\\n    ELSE \\\"lo_row\\\".\\\"measure_value\\\" + (\\\"p\\\".\\\"pos\\\" - \\\"p\\\".\\\"lo\\\") * (\\\"hi_row\\\".\\\"measure_value\\\" - \\\"lo_row\\\".\\\"measure_value\\\")\\n  END AS \\\"percentile_measure\\\"\\nFROM \\\"positions\\\" AS \\\"p\\\"\\nJOIN \\\"ordered\\\" AS \\\"lo_row\\\"\\n  ON \\\"lo_row\\\".\\\"target\\\" = \\\"p\\\".\\\"target\\\"\\n AND \\\"lo_row\\\".\\\"rn\\\" = \\\"p\\\".\\\"lo\\\"\\nJOIN \\\"ordered\\\" AS \\\"hi_row\\\"\\n  ON \\\"hi_row\\\".\\\"target\\\" = \\\"p\\\".\\\"target\\\"\\n AND \\\"hi_row\\\".\\\"rn\\\" = \\\"p\\\".\\\"hi\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this query emulates the 0.95 continuous percentile for each \\\"target\\\" group by interpolating between ordered rows. \\\"feature_2\\\" is cast to REAL because the schema stores it as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13490,"cached_input_tokens":12672,"output_tokens":2412,"reasoning_output_tokens":1861}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_24eb15bae41ce93c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_24eb15bae41ce93c/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..964625b37fc45100004a263e18ff23adefa0dcb7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_24eb15bae41ce93c/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n  SELECT\n    \"target\",\n    CAST(\"feature_2\" AS REAL) AS \"measure_value\",\n    ROW_NUMBER() OVER (\n      PARTITION BY \"target\"\n      ORDER BY CAST(\"feature_2\" AS REAL)\n    ) AS \"rn\",\n    COUNT(*) OVER (\n      PARTITION BY \"target\"\n    ) AS \"n\"\n  FROM \"n12\"\n),\n\"positions\" AS (\n  SELECT DISTINCT\n    \"target\",\n    (1.0 + 0.95 * (\"n\" - 1)) AS \"pos\",\n    CAST((1.0 + 0.95 * (\"n\" - 1)) AS INTEGER) AS \"lo\",\n    CASE\n      WHEN (1.0 + 0.95 * (\"n\" - 1)) = CAST((1.0 + 0.95 * (\"n\" - 1)) AS INTEGER)\n        THEN CAST((1.0 + 0.95 * (\"n\" - 1)) AS INTEGER)\n      ELSE CAST((1.0 + 0.95 * (\"n\" - 1)) AS INTEGER) + 1\n    END AS \"hi\"\n  FROM \"ordered\"\n)\nSELECT\n  \"p\".\"target\",\n  CASE\n    WHEN \"p\".\"lo\" = \"p\".\"hi\" THEN \"lo_row\".\"measure_value\"\n    ELSE \"lo_row\".\"measure_value\" + (\"p\".\"pos\" - \"p\".\"lo\") * (\"hi_row\".\"measure_value\" - \"lo_row\".\"measure_value\")\n  END AS \"percentile_measure\"\nFROM \"positions\" AS \"p\"\nJOIN \"ordered\" AS \"lo_row\"\n  ON \"lo_row\".\"target\" = \"p\".\"target\"\n AND \"lo_row\".\"rn\" = \"p\".\"lo\"\nJOIN \"ordered\" AS \"hi_row\"\n  ON \"hi_row\".\"target\" = \"p\".\"target\"\n AND \"hi_row\".\"rn\" = \"p\".\"hi\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this query emulates the 0.95 continuous percentile for each \"target\" group by interpolating between ordered rows. \"feature_2\" is cast to REAL because the schema stores it as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_24eb15bae41ce93c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_24eb15bae41ce93c/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_263ffadd8a89d45c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_263ffadd8a89d45c/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..b3bed0101fef01ebe23ea4ca9c3b51270623b612
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_263ffadd8a89d45c/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5347, "bytes_utf8": 5347, "lines": 147, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 628, "bytes_utf8": 628, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13661, "cached_input_tokens": 12032, "output_tokens": 434, "reasoning_output_tokens": 258}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_263ffadd8a89d45c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_263ffadd8a89d45c/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..b884f68a1dd57be1141dc0b75fdbe47c9eed7133
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_263ffadd8a89d45c/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_263ffadd8a89d45c",
+    "api_calls": 0,
+    "input_tokens": 13661,
+    "cached_input_tokens": 12032,
+    "output_tokens": 434,
+    "total_tokens": 14095,
+    "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": 10580.2,
+    "sql_execution_elapsed_ms_total": 134.88,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_263ffadd8a89d45c/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_263ffadd8a89d45c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_263ffadd8a89d45c/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..7f4a24e115bf7b90b00b67fd2bd44b5db5b47c83
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_263ffadd8a89d45c/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:37:09.974974+00:00",
+  "ended_at": "2026-05-19T15:37:20.555200+00:00",
+  "elapsed_ms": 10580.2,
+  "prompt_metrics": {
+    "chars": 5347,
+    "bytes_utf8": 5347,
+    "lines": 147,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 997,
+    "bytes_utf8": 997,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 628,
+      "bytes_utf8": 628,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13661,
+      "cached_input_tokens": 12032,
+      "output_tokens": 434,
+      "reasoning_output_tokens": 258
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_263ffadd8a89d45c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_263ffadd8a89d45c/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0e6f54c30a00f5e6323ab078a53af56429aeeaf6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_263ffadd8a89d45c/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,147 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_ratio_two_conditions",
+    "template_name": "Grouped Ratio of Two Conditions",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=feature_2, condition_col=target.",
+  "planned_template_id": "tpl_m4_group_ratio_two_conditions",
+  "bindings": {
+    "group_col": "feature_2",
+    "condition_col": "target",
+    "condition_value": "1",
+    "positive_value": "1",
+    "negative_value": "2",
+    "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": 116.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_263ffadd8a89d45c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_263ffadd8a89d45c/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..858d279158bcdf8c7df0fd8b9a9e848e4f7b22fd
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_263ffadd8a89d45c/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e2-415d-7ee3-b8d2-e798e8e1b223"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n    SELECT \\\"feature_2\\\",\\n           SUM(CASE WHEN \\\"target\\\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\\n           SUM(CASE WHEN \\\"target\\\" = '2' THEN 1 ELSE 0 END) AS denominator_count\\n    FROM \\\"n12\\\"\\n    GROUP BY \\\"feature_2\\\"\\n)\\nSELECT \\\"feature_2\\\",\\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Implements the planned grouped ratio template with group_col=\\\"feature_2\\\" and condition_col=\\\"target\\\", comparing target='1' to target='2'.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13661,"cached_input_tokens":12032,"output_tokens":434,"reasoning_output_tokens":258}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_263ffadd8a89d45c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_263ffadd8a89d45c/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3be73f2cc61f6fdedf289a4b3f72ba56b9de382d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_263ffadd8a89d45c/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n    SELECT \"feature_2\",\n           SUM(CASE WHEN \"target\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN \"target\" = '2' THEN 1 ELSE 0 END) AS denominator_count\n    FROM \"n12\"\n    GROUP BY \"feature_2\"\n)\nSELECT \"feature_2\",\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Implements the planned grouped ratio template with group_col=\"feature_2\" and condition_col=\"target\", comparing target='1' to target='2'."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_263ffadd8a89d45c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_263ffadd8a89d45c/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a3ee8ce2bb053db/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a3ee8ce2bb053db/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..036351545d901849920e6984136191f810a37eba
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a3ee8ce2bb053db/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4535, "bytes_utf8": 4535, "lines": 142, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 375, "bytes_utf8": 375, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13465, "cached_input_tokens": 12672, "output_tokens": 441, "reasoning_output_tokens": 335}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a3ee8ce2bb053db/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a3ee8ce2bb053db/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..f9380a29d5923d26e0d795f2df966df1b43ed6a4
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a3ee8ce2bb053db/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_2a3ee8ce2bb053db",
+    "api_calls": 0,
+    "input_tokens": 13465,
+    "cached_input_tokens": 12672,
+    "output_tokens": 441,
+    "total_tokens": 13906,
+    "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": 11503.7,
+    "sql_execution_elapsed_ms_total": 99.28,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a3ee8ce2bb053db/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a3ee8ce2bb053db/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a3ee8ce2bb053db/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..07fad180ed9ac70d1b76e87c175c92b004aeedda
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a3ee8ce2bb053db/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:57:02.253146+00:00",
+  "ended_at": "2026-05-19T15:57:13.756882+00:00",
+  "elapsed_ms": 11503.7,
+  "prompt_metrics": {
+    "chars": 4535,
+    "bytes_utf8": 4535,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 736,
+    "bytes_utf8": 736,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 375,
+      "bytes_utf8": 375,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13465,
+      "cached_input_tokens": 12672,
+      "output_tokens": 441,
+      "reasoning_output_tokens": 335
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a3ee8ce2bb053db/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a3ee8ce2bb053db/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2ebaa5c0bed8b4bb451034e09bfe641e86ee42fe
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a3ee8ce2bb053db/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=feature_3.",
+  "planned_template_id": "tpl_tail_low_support_group_count_v2",
+  "bindings": {
+    "group_col": "feature_3",
+    "top_k": 12,
+    "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": 186.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a3ee8ce2bb053db/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a3ee8ce2bb053db/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d9e85a8926a69252404c4aeef39de657d7e0effa
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a3ee8ce2bb053db/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f4-72ba-7320-ab7f-a09432f33b1d"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2.\\nSELECT\\n    \\\"feature_3\\\",\\n    COUNT(*) AS \\\"support\\\"\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_3\\\"\\nORDER BY \\\"support\\\" ASC, \\\"feature_3\\\"\\nLIMIT 12;\",\"notes\":\"Applies the Low-Support Group Count template to \\\"feature_3\\\", returning the 12 least-supported groups ordered by ascending support and then feature value.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13465,"cached_input_tokens":12672,"output_tokens":441,"reasoning_output_tokens":335}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a3ee8ce2bb053db/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a3ee8ce2bb053db/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6576987346f2d1f3df9ca359549dcd63751e1444
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a3ee8ce2bb053db/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tail_low_support_group_count_v2.\nSELECT\n    \"feature_3\",\n    COUNT(*) AS \"support\"\nFROM \"n12\"\nGROUP BY \"feature_3\"\nORDER BY \"support\" ASC, \"feature_3\"\nLIMIT 12;","notes":"Applies the Low-Support Group Count template to \"feature_3\", returning the 12 least-supported groups ordered by ascending support and then feature value."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a3ee8ce2bb053db/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a3ee8ce2bb053db/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a58af8bb047b960/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a58af8bb047b960/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..06363f54878ef96deea8a14bf690f95cbac29a51
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a58af8bb047b960/cli/conversation.jsonl
@@ -0,0 +1,4 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4789, "bytes_utf8": 4789, "lines": 147, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "}
+{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 4789, "bytes_utf8": 4789, "lines": 147, "estimated_tokens": null}}
+{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 379, "bytes_utf8": 379, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13513, "cached_input_tokens": 12672, "output_tokens": 316, "reasoning_output_tokens": 207}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a58af8bb047b960/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a58af8bb047b960/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..be3a796ece4a6100c3ed1e49a988f2b94aa752a6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a58af8bb047b960/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 2,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_2a58af8bb047b960",
+    "api_calls": 0,
+    "input_tokens": 13513,
+    "cached_input_tokens": 12672,
+    "output_tokens": 316,
+    "total_tokens": 13829,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 2,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 12010.74,
+    "sql_execution_elapsed_ms_total": 125.95,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a58af8bb047b960/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a58af8bb047b960/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a58af8bb047b960/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..e5c5e9657b6af5fa9d922f43cba9e9ab25f530be
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a58af8bb047b960/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:52:43.857270+00:00",
+  "ended_at": "2026-05-19T15:52:46.813778+00:00",
+  "elapsed_ms": 2956.48,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4789,
+    "bytes_utf8": 4789,
+    "lines": 147,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a58af8bb047b960/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a58af8bb047b960/cli/sql_attempt_2.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..01f660f72cb80d5fcc07b3daa556d92b840aa3e2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a58af8bb047b960/cli/sql_attempt_2.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:52:47.815789+00:00",
+  "ended_at": "2026-05-19T15:52:56.870099+00:00",
+  "elapsed_ms": 9054.26,
+  "prompt_metrics": {
+    "chars": 4789,
+    "bytes_utf8": 4789,
+    "lines": 147,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 734,
+    "bytes_utf8": 734,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 379,
+      "bytes_utf8": 379,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13513,
+      "cached_input_tokens": 12672,
+      "output_tokens": 316,
+      "reasoning_output_tokens": 207
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a58af8bb047b960/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a58af8bb047b960/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c09594c8407c1ede93d39a6ef2acab78d85498a9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a58af8bb047b960/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,147 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_1, condition_col=target.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "feature_1",
+    "condition_col": "target",
+    "condition_value": "2",
+    "positive_value": "1",
+    "negative_value": "2",
+    "top_k": 16,
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a58af8bb047b960/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a58af8bb047b960/cli/sql_prompt_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c09594c8407c1ede93d39a6ef2acab78d85498a9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a58af8bb047b960/cli/sql_prompt_attempt_2.txt
@@ -0,0 +1,147 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_1, condition_col=target.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "feature_1",
+    "condition_col": "target",
+    "condition_value": "2",
+    "positive_value": "1",
+    "negative_value": "2",
+    "top_k": 16,
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a58af8bb047b960/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a58af8bb047b960/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e9b37643e43082191475e6d003cb0d628facfc23
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a58af8bb047b960/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f0-816c-76b0-b1b7-68fefe84a618"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a58af8bb047b960/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a58af8bb047b960/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b0ee997c0b87e7f1c60bd2c1010c5ee43da2e81c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a58af8bb047b960/cli/sql_response_attempt_1.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f0-816c-76b0-b1b7-68fefe84a618"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a58af8bb047b960/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a58af8bb047b960/cli/sql_response_attempt_2.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..806a0192c271385348c8a0534d2dea55e937ca93
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a58af8bb047b960/cli/sql_response_attempt_2.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f0-90d1-71b3-9642-fda71441a4b4"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"feature_1\\\",\\n       AVG(CASE WHEN \\\"target\\\" = '2' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_1\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the Grouped Condition Rate template with group_col=\\\"feature_1\\\" and condition_col=\\\"target\\\", computing the per-feature_1 rate of target='2'.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13513,"cached_input_tokens":12672,"output_tokens":316,"reasoning_output_tokens":207}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a58af8bb047b960/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a58af8bb047b960/cli/sql_response_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e9d5ca4c7be39fed6f7dae84d1466dddde5cd400
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a58af8bb047b960/cli/sql_response_attempt_2.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"feature_1\",\n       AVG(CASE WHEN \"target\" = '2' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n12\"\nGROUP BY \"feature_1\"\nORDER BY condition_rate DESC;","notes":"Uses the Grouped Condition Rate template with group_col=\"feature_1\" and condition_col=\"target\", computing the per-feature_1 rate of target='2'."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a58af8bb047b960/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a58af8bb047b960/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a58af8bb047b960/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2a58af8bb047b960/cli/sql_stderr_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2e973cdadd7ff148/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2e973cdadd7ff148/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..d725309e1ea65d5393bb997d3bcde55a2a0cb32a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2e973cdadd7ff148/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5348, "bytes_utf8": 5348, "lines": 147, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 748, "bytes_utf8": 748, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13661, "cached_input_tokens": 12672, "output_tokens": 378, "reasoning_output_tokens": 183}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2e973cdadd7ff148/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2e973cdadd7ff148/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..b3d34e7c96d02daa8dd6271e6688f93f25f22296
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2e973cdadd7ff148/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_2e973cdadd7ff148",
+    "api_calls": 0,
+    "input_tokens": 13661,
+    "cached_input_tokens": 12672,
+    "output_tokens": 378,
+    "total_tokens": 14039,
+    "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": 9501.91,
+    "sql_execution_elapsed_ms_total": 124.13,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2e973cdadd7ff148/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2e973cdadd7ff148/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2e973cdadd7ff148/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..071e41040d215ca70eb93084512681a9b982c66b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2e973cdadd7ff148/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:37:20.698869+00:00",
+  "ended_at": "2026-05-19T15:37:30.200803+00:00",
+  "elapsed_ms": 9501.91,
+  "prompt_metrics": {
+    "chars": 5348,
+    "bytes_utf8": 5348,
+    "lines": 147,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1117,
+    "bytes_utf8": 1117,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 748,
+      "bytes_utf8": 748,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13661,
+      "cached_input_tokens": 12672,
+      "output_tokens": 378,
+      "reasoning_output_tokens": 183
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2e973cdadd7ff148/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2e973cdadd7ff148/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..733dc642517f7701e3fd5d0463e9373764518f8a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2e973cdadd7ff148/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,147 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_ratio_two_conditions",
+    "template_name": "Grouped Ratio of Two Conditions",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=feature_3, condition_col=target.",
+  "planned_template_id": "tpl_m4_group_ratio_two_conditions",
+  "bindings": {
+    "group_col": "feature_3",
+    "condition_col": "target",
+    "condition_value": "1",
+    "positive_value": "1",
+    "negative_value": "2",
+    "top_k": 13,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 186.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2e973cdadd7ff148/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2e973cdadd7ff148/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a1bbb3b5d33816029bb12b0d923a37ef3fbbbb75
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2e973cdadd7ff148/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e2-6b49-7880-af92-60cd0e4ab6a3"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n    SELECT \\\"feature_3\\\",\\n           SUM(CASE WHEN \\\"target\\\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\\n           SUM(CASE WHEN \\\"target\\\" = '2' THEN 1 ELSE 0 END) AS denominator_count\\n    FROM \\\"n12\\\"\\n    GROUP BY \\\"feature_3\\\"\\n)\\nSELECT \\\"feature_3\\\",\\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 template with group_col=\\\"feature_3\\\" and condition_col=\\\"target\\\", using target='1' over target='2'. Identifier names are double-quoted and target comparisons use text literals because the schema stores these fields as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13661,"cached_input_tokens":12672,"output_tokens":378,"reasoning_output_tokens":183}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2e973cdadd7ff148/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2e973cdadd7ff148/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4948f684cdbf1559bb644170e9de038fe018e452
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2e973cdadd7ff148/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n    SELECT \"feature_3\",\n           SUM(CASE WHEN \"target\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN \"target\" = '2' THEN 1 ELSE 0 END) AS denominator_count\n    FROM \"n12\"\n    GROUP BY \"feature_3\"\n)\nSELECT \"feature_3\",\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 template with group_col=\"feature_3\" and condition_col=\"target\", using target='1' over target='2'. Identifier names are double-quoted and target comparisons use text literals because the schema stores these fields as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2e973cdadd7ff148/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_2e973cdadd7ff148/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_323a84fcf8248e82/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_323a84fcf8248e82/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..a87083e78e72d75b2bdec03c88704e9c8c76f95e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_323a84fcf8248e82/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5097, "bytes_utf8": 5097, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 626, "bytes_utf8": 626, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13590, "cached_input_tokens": 12032, "output_tokens": 704, "reasoning_output_tokens": 516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_323a84fcf8248e82/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_323a84fcf8248e82/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..1eedea0a2bd21af3cb949082c8924f9698876c5c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_323a84fcf8248e82/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_323a84fcf8248e82",
+    "api_calls": 0,
+    "input_tokens": 13590,
+    "cached_input_tokens": 12032,
+    "output_tokens": 704,
+    "total_tokens": 14294,
+    "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": 18580.42,
+    "sql_execution_elapsed_ms_total": 83.12,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_323a84fcf8248e82/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_323a84fcf8248e82/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_323a84fcf8248e82/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..c042b7f0bbd5e0049960f363569d8b2092e83d1e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_323a84fcf8248e82/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:44:35.915202+00:00",
+  "ended_at": "2026-05-19T15:44:54.495658+00:00",
+  "elapsed_ms": 18580.42,
+  "prompt_metrics": {
+    "chars": 5097,
+    "bytes_utf8": 5097,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1378,
+    "bytes_utf8": 1378,
+    "lines": 5,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 626,
+      "bytes_utf8": 626,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13590,
+      "cached_input_tokens": 12032,
+      "output_tokens": 704,
+      "reasoning_output_tokens": 516
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_323a84fcf8248e82/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_323a84fcf8248e82/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1aedec72ac66ab84a4edf56217b1d931cfcf1e44
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_323a84fcf8248e82/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "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;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=target, measure_col=feature_2.",
+  "planned_template_id": "tpl_tpch_relative_total_threshold",
+  "bindings": {
+    "group_col": "target",
+    "measure_col": "feature_2",
+    "top_k": 14,
+    "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": 116.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, 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;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_323a84fcf8248e82/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_323a84fcf8248e82/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c6b1563e9b030dfd91733b782eb270d5c679931c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_323a84fcf8248e82/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,5 @@
+{"type":"thread.started","thread_id":"019e40e9-0f88-7591-8fcf-db8416ede4e5"}
+{"type":"turn.started"}
+{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1986917, Requested 14225. Please try again in 34ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n  SELECT \\\"target\\\", SUM(CAST(\\\"feature_2\\\" AS REAL)) AS \\\"group_value\\\"\\n  FROM \\\"n12\\\"\\n  GROUP BY \\\"target\\\"\\n),\\n\\\"total\\\" AS (\\n  SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n  FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"target\\\", g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Used the provided template with group_col=\\\"target\\\" and measure_col=\\\"feature_2\\\"; cast \\\"feature_2\\\" from TEXT to REAL for SQLite numeric aggregation.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13590,"cached_input_tokens":12032,"output_tokens":704,"reasoning_output_tokens":516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_323a84fcf8248e82/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_323a84fcf8248e82/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..831d56ad475d4f5f3301fa0250b45dfeb020a774
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_323a84fcf8248e82/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n  SELECT \"target\", SUM(CAST(\"feature_2\" AS REAL)) AS \"group_value\"\n  FROM \"n12\"\n  GROUP BY \"target\"\n),\n\"total\" AS (\n  SELECT SUM(\"group_value\") AS \"total_value\"\n  FROM \"grouped\"\n)\nSELECT g.\"target\", g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.1\nORDER BY g.\"group_value\" DESC;","notes":"Used the provided template with group_col=\"target\" and measure_col=\"feature_2\"; cast \"feature_2\" from TEXT to REAL for SQLite numeric aggregation."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_323a84fcf8248e82/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_323a84fcf8248e82/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_325de773c071947e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_325de773c071947e/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..778dcd601f5c8aa5c2898eb36e08d6c287103b2c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_325de773c071947e/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4717, "bytes_utf8": 4717, "lines": 142, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 560, "bytes_utf8": 560, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13507, "cached_input_tokens": 12032, "output_tokens": 474, "reasoning_output_tokens": 314}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_325de773c071947e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_325de773c071947e/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..585b3fb3f93c30f5a12acaf7962bb6aac42f30c2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_325de773c071947e/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_325de773c071947e",
+    "api_calls": 0,
+    "input_tokens": 13507,
+    "cached_input_tokens": 12032,
+    "output_tokens": 474,
+    "total_tokens": 13981,
+    "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": 10183.65,
+    "sql_execution_elapsed_ms_total": 316.87,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_325de773c071947e/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_325de773c071947e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_325de773c071947e/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..d40bc8d1ea5e62d78dbf3811d875b8e735b92954
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_325de773c071947e/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:40:40.551523+00:00",
+  "ended_at": "2026-05-19T15:40:50.735191+00:00",
+  "elapsed_ms": 10183.65,
+  "prompt_metrics": {
+    "chars": 4717,
+    "bytes_utf8": 4717,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 935,
+    "bytes_utf8": 935,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 560,
+      "bytes_utf8": 560,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13507,
+      "cached_input_tokens": 12032,
+      "output_tokens": 474,
+      "reasoning_output_tokens": 314
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_325de773c071947e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_325de773c071947e/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3e51f5c258bc3bfec3c373b31fefced2ea72ff43
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_325de773c071947e/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_quantile_tail_slice",
+    "template_name": "Quantile Tail Slice",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "sql_skeleton": "WITH buckets AS (\n    SELECT {measure_col},\n           NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n    FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;",
+    "required_roles": [
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_2.",
+  "planned_template_id": "tpl_m4_quantile_tail_slice",
+  "bindings": {
+    "measure_col": "feature_2",
+    "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": 116.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH buckets AS (\n    SELECT {measure_col},\n           NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n    FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_325de773c071947e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_325de773c071947e/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e27a9a910d09fe8157b5e4b4f1cfa15b5a73c1e2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_325de773c071947e/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e5-77ef-7d33-8f39-a3879723b4c1"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n    SELECT CAST(\\\"feature_2\\\" AS INTEGER) AS \\\"feature_2\\\",\\n           NTILE(10) OVER (ORDER BY CAST(\\\"feature_2\\\" AS INTEGER) DESC) AS \\\"tail_bucket\\\"\\n    FROM \\\"n12\\\"\\n)\\nSELECT \\\"feature_2\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"feature_2\\\" DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"feature_2\\\" and num_tiles=10. Cast \\\"feature_2\\\" to INTEGER because the schema stores it as TEXT but the task treats it as a numeric measure.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13507,"cached_input_tokens":12032,"output_tokens":474,"reasoning_output_tokens":314}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_325de773c071947e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_325de773c071947e/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a118252110aad1af12b9491d84e3e4ba9230bdd2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_325de773c071947e/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n    SELECT CAST(\"feature_2\" AS INTEGER) AS \"feature_2\",\n           NTILE(10) OVER (ORDER BY CAST(\"feature_2\" AS INTEGER) DESC) AS \"tail_bucket\"\n    FROM \"n12\"\n)\nSELECT \"feature_2\"\nFROM buckets\nWHERE \"tail_bucket\" = 1\nORDER BY \"feature_2\" DESC;","notes":"Applied the Quantile Tail Slice template with measure_col bound to \"feature_2\" and num_tiles=10. Cast \"feature_2\" to INTEGER because the schema stores it as TEXT but the task treats it as a numeric measure."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_325de773c071947e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_325de773c071947e/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_345ad870680c968e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_345ad870680c968e/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..fe86dac8d911b0bf48d434a80e6e83b3c6595356
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_345ad870680c968e/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4483, "bytes_utf8": 4483, "lines": 142, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 353, "bytes_utf8": 353, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13443, "cached_input_tokens": 12672, "output_tokens": 253, "reasoning_output_tokens": 149}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_345ad870680c968e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_345ad870680c968e/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..21460e3282cf45589f8273ac58fc42ccbb6ef4aa
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_345ad870680c968e/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_345ad870680c968e",
+    "api_calls": 0,
+    "input_tokens": 13443,
+    "cached_input_tokens": 12672,
+    "output_tokens": 253,
+    "total_tokens": 13696,
+    "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": 7586.4,
+    "sql_execution_elapsed_ms_total": 26.84,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_345ad870680c968e/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_345ad870680c968e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_345ad870680c968e/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..1e2e93051ed6d893546e6a7f141ac1af3b03a977
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_345ad870680c968e/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:56:01.757610+00:00",
+  "ended_at": "2026-05-19T15:56:09.344029+00:00",
+  "elapsed_ms": 7586.4,
+  "prompt_metrics": {
+    "chars": 4483,
+    "bytes_utf8": 4483,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 697,
+    "bytes_utf8": 697,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 353,
+      "bytes_utf8": 353,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13443,
+      "cached_input_tokens": 12672,
+      "output_tokens": 253,
+      "reasoning_output_tokens": 149
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_345ad870680c968e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_345ad870680c968e/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..7c63842133dd98760536110cbfe7de238c46c623
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_345ad870680c968e/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_threshold_rarity_cdf",
+    "template_name": "Threshold Rarity CDF",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};",
+    "required_roles": [
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_1.",
+  "planned_template_id": "tpl_threshold_rarity_cdf",
+  "bindings": {
+    "measure_col": "feature_1",
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_345ad870680c968e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_345ad870680c968e/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e96999adeeb5f35a2afb010f6f7d664f9642687d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_345ad870680c968e/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f3-867c-73b1-bacb-2456e653b2d0"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"feature_1\\\" AS REAL) <= 115.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"n12\\\";\",\"notes\":\"Applied the Threshold Rarity CDF template with measure_col bound to \\\"feature_1\\\" and threshold 115.0. CAST to REAL because the schema stores feature values as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13443,"cached_input_tokens":12672,"output_tokens":253,"reasoning_output_tokens":149}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_345ad870680c968e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_345ad870680c968e/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0d79b1342d6577096cbc2a327334d0d5f4ac7ad7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_345ad870680c968e/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"feature_1\" AS REAL) <= 115.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"n12\";","notes":"Applied the Threshold Rarity CDF template with measure_col bound to \"feature_1\" and threshold 115.0. CAST to REAL because the schema stores feature values as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_345ad870680c968e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_345ad870680c968e/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_37aa4422e6bc3976/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_37aa4422e6bc3976/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..5745b8f6e89ff612842d2c56e78ff75b0e142f13
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_37aa4422e6bc3976/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:58:07.145579+00:00",
+  "ended_at": "2026-05-19T15:58:10.702656+00:00",
+  "elapsed_ms": 3557.03,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4537,
+    "bytes_utf8": 4537,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_37aa4422e6bc3976/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_37aa4422e6bc3976/cli/sql_attempt_2.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..ef732abb9722d300e49167df5922834ea83132b0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_37aa4422e6bc3976/cli/sql_attempt_2.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:58:11.704317+00:00",
+  "ended_at": "2026-05-19T15:58:14.983443+00:00",
+  "elapsed_ms": 3279.09,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4537,
+    "bytes_utf8": 4537,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_37aa4422e6bc3976/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_37aa4422e6bc3976/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e2335ff3a2d33c8a914510a884e4a32c61bd908e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_37aa4422e6bc3976/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=feature_2.",
+  "planned_template_id": "tpl_tail_low_support_group_count_v2",
+  "bindings": {
+    "group_col": "feature_2",
+    "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": 186.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_37aa4422e6bc3976/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_37aa4422e6bc3976/cli/sql_prompt_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e2335ff3a2d33c8a914510a884e4a32c61bd908e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_37aa4422e6bc3976/cli/sql_prompt_attempt_2.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=feature_2.",
+  "planned_template_id": "tpl_tail_low_support_group_count_v2",
+  "bindings": {
+    "group_col": "feature_2",
+    "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": 186.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_37aa4422e6bc3976/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_37aa4422e6bc3976/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..86076d1dc4094f4f525d4e8ea1334e86b2bdfffa
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_37aa4422e6bc3976/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f5-702b-7cf3-8e73-aae5c6c1bf8f"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_37aa4422e6bc3976/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_37aa4422e6bc3976/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b0a84c3f373b529df1c9b360451863499fbe1436
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_37aa4422e6bc3976/cli/sql_response_attempt_1.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f5-702b-7cf3-8e73-aae5c6c1bf8f"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_37aa4422e6bc3976/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_37aa4422e6bc3976/cli/sql_response_attempt_2.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b5623b052f6b537e5f5ee43ac273159d04de1980
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_37aa4422e6bc3976/cli/sql_response_attempt_2.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f5-81ff-7242-8e31-068212f8f0da"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_37aa4422e6bc3976/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_37aa4422e6bc3976/cli/sql_response_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..7a7ed1f75177060e641eccc1eea2e4a8f352a487
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_37aa4422e6bc3976/cli/sql_response_attempt_2.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f5-81ff-7242-8e31-068212f8f0da"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_37aa4422e6bc3976/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_37aa4422e6bc3976/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_37aa4422e6bc3976/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_37aa4422e6bc3976/cli/sql_stderr_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_38708f6c557d36e7/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_38708f6c557d36e7/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..5918f0b869ea90c3add04ae18ed4b93e17706108
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_38708f6c557d36e7/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4861, "bytes_utf8": 4861, "lines": 148, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 528, "bytes_utf8": 528, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13552, "cached_input_tokens": 12032, "output_tokens": 664, "reasoning_output_tokens": 516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_38708f6c557d36e7/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_38708f6c557d36e7/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..4b345f0a6b31314211a17c33aeaeadfcd3ee0558
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_38708f6c557d36e7/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_38708f6c557d36e7",
+    "api_calls": 0,
+    "input_tokens": 13552,
+    "cached_input_tokens": 12032,
+    "output_tokens": 664,
+    "total_tokens": 14216,
+    "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": 12785.76,
+    "sql_execution_elapsed_ms_total": 64.84,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_38708f6c557d36e7/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_38708f6c557d36e7/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_38708f6c557d36e7/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..47167acd5b9030411ddf0b0f7543f2216482d67e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_38708f6c557d36e7/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:39:31.342880+00:00",
+  "ended_at": "2026-05-19T15:39:44.128673+00:00",
+  "elapsed_ms": 12785.76,
+  "prompt_metrics": {
+    "chars": 4861,
+    "bytes_utf8": 4861,
+    "lines": 148,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 907,
+    "bytes_utf8": 907,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 528,
+      "bytes_utf8": 528,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13552,
+      "cached_input_tokens": 12032,
+      "output_tokens": 664,
+      "reasoning_output_tokens": 516
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_38708f6c557d36e7/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_38708f6c557d36e7/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9b7fb9657b2165158a0e860de1cb5b16d3e79bc5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_38708f6c557d36e7/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,148 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_c2_filtered_group_count_2d",
+    "template_name": "Filtered Two-Dimensional Group Count",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;",
+    "required_roles": [
+      "group_col",
+      "group_col_2",
+      "predicate_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=feature_1, group_col_2=feature_2.",
+  "planned_template_id": "tpl_c2_filtered_group_count_2d",
+  "bindings": {
+    "group_col": "feature_1",
+    "group_col_2": "feature_2",
+    "predicate_col": "feature_3",
+    "predicate_op": ">=",
+    "predicate_value": 186.0,
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_38708f6c557d36e7/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_38708f6c557d36e7/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8f7c60de77be8ec68c8fd849962f498be45d3a4b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_38708f6c557d36e7/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e4-69a4-71b3-8313-8394a4005e01"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"feature_1\\\", \\\"feature_2\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n12\\\"\\nWHERE CAST(\\\"feature_3\\\" AS REAL) >= 186.0\\nGROUP BY \\\"feature_1\\\", \\\"feature_2\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Applied the provided filtered two-dimensional group count template with group_col=\\\"feature_1\\\", group_col_2=\\\"feature_2\\\", and predicate on \\\"feature_3\\\". Used CAST on \\\"feature_3\\\" because the SQLite schema stores it as TEXT while the bound predicate value is numeric.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13552,"cached_input_tokens":12032,"output_tokens":664,"reasoning_output_tokens":516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_38708f6c557d36e7/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_38708f6c557d36e7/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3b56c7dd343acd3763a1c65110a1bc2f6fe2d0cc
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_38708f6c557d36e7/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"feature_1\", \"feature_2\", COUNT(*) AS \"row_count\"\nFROM \"n12\"\nWHERE CAST(\"feature_3\" AS REAL) >= 186.0\nGROUP BY \"feature_1\", \"feature_2\"\nORDER BY \"row_count\" DESC;","notes":"Applied the provided filtered two-dimensional group count template with group_col=\"feature_1\", group_col_2=\"feature_2\", and predicate on \"feature_3\". Used CAST on \"feature_3\" because the SQLite schema stores it as TEXT while the bound predicate value is numeric."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_38708f6c557d36e7/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_38708f6c557d36e7/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3adc094d7ef836cf/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3adc094d7ef836cf/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..362bae4776053d3e5b0abfc7fc8f64f6e897266e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3adc094d7ef836cf/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4717, "bytes_utf8": 4717, "lines": 142, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 507, "bytes_utf8": 507, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13507, "cached_input_tokens": 12032, "output_tokens": 623, "reasoning_output_tokens": 471}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3adc094d7ef836cf/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3adc094d7ef836cf/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..f6603ac0b551dd5005df99bde7126c09a83a2a38
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3adc094d7ef836cf/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_3adc094d7ef836cf",
+    "api_calls": 0,
+    "input_tokens": 13507,
+    "cached_input_tokens": 12032,
+    "output_tokens": 623,
+    "total_tokens": 14130,
+    "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": 13277.39,
+    "sql_execution_elapsed_ms_total": 356.38,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3adc094d7ef836cf/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3adc094d7ef836cf/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3adc094d7ef836cf/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..f10d57af4ceadf50c3755f92a20537a8d1fd8025
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3adc094d7ef836cf/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:41:03.966195+00:00",
+  "ended_at": "2026-05-19T15:41:17.243617+00:00",
+  "elapsed_ms": 13277.39,
+  "prompt_metrics": {
+    "chars": 4717,
+    "bytes_utf8": 4717,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 883,
+    "bytes_utf8": 883,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 507,
+      "bytes_utf8": 507,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13507,
+      "cached_input_tokens": 12032,
+      "output_tokens": 623,
+      "reasoning_output_tokens": 471
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3adc094d7ef836cf/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3adc094d7ef836cf/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e5d47f455ab48b185c948c0f45ab8daeb1db7b81
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3adc094d7ef836cf/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_quantile_tail_slice",
+    "template_name": "Quantile Tail Slice",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "sql_skeleton": "WITH buckets AS (\n    SELECT {measure_col},\n           NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n    FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;",
+    "required_roles": [
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_1.",
+  "planned_template_id": "tpl_m4_quantile_tail_slice",
+  "bindings": {
+    "measure_col": "feature_1",
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH buckets AS (\n    SELECT {measure_col},\n           NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n    FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3adc094d7ef836cf/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3adc094d7ef836cf/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c2107f265963e320e560236e811fe9cfa8f133ab
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3adc094d7ef836cf/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e5-d36f-7401-9474-9d22cf0dce5d"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n  SELECT\\n    \\\"feature_1\\\",\\n    NTILE(10) OVER (ORDER BY CAST(\\\"feature_1\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n  FROM \\\"n12\\\"\\n)\\nSELECT \\\"feature_1\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"feature_1\\\" AS REAL) DESC;\",\"notes\":\"Applied the planned Quantile Tail Slice template with measure_col bound to \\\"feature_1\\\" and num_tiles=10. CAST to REAL is used because the schema stores feature columns as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13507,"cached_input_tokens":12032,"output_tokens":623,"reasoning_output_tokens":471}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3adc094d7ef836cf/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3adc094d7ef836cf/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e4b79b1ccfc20e57056b361d1cc258bffaa5fb70
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3adc094d7ef836cf/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n  SELECT\n    \"feature_1\",\n    NTILE(10) OVER (ORDER BY CAST(\"feature_1\" AS REAL) DESC) AS \"tail_bucket\"\n  FROM \"n12\"\n)\nSELECT \"feature_1\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY CAST(\"feature_1\" AS REAL) DESC;","notes":"Applied the planned Quantile Tail Slice template with measure_col bound to \"feature_1\" and num_tiles=10. CAST to REAL is used because the schema stores feature columns as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3adc094d7ef836cf/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3adc094d7ef836cf/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3bc3838f5c448bef/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3bc3838f5c448bef/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..6b9e2cd473cc3f5d55f78909782b8a7b71165686
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3bc3838f5c448bef/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4455, "bytes_utf8": 4455, "lines": 142, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 293, "bytes_utf8": 293, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13427, "cached_input_tokens": 12032, "output_tokens": 385, "reasoning_output_tokens": 303}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3bc3838f5c448bef/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3bc3838f5c448bef/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..b6937769050bd296fb85ad38cf61ee20d1f9a84b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3bc3838f5c448bef/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_3bc3838f5c448bef",
+    "api_calls": 0,
+    "input_tokens": 13427,
+    "cached_input_tokens": 12032,
+    "output_tokens": 385,
+    "total_tokens": 13812,
+    "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": 12277.72,
+    "sql_execution_elapsed_ms_total": 102.79,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3bc3838f5c448bef/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3bc3838f5c448bef/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3bc3838f5c448bef/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..696b0ffe8ba7b146fec49f86711c02501f91d71c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3bc3838f5c448bef/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:32:05.665746+00:00",
+  "ended_at": "2026-05-19T15:32:17.943491+00:00",
+  "elapsed_ms": 12277.72,
+  "prompt_metrics": {
+    "chars": 4455,
+    "bytes_utf8": 4455,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 647,
+    "bytes_utf8": 647,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 293,
+      "bytes_utf8": 293,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13427,
+      "cached_input_tokens": 12032,
+      "output_tokens": 385,
+      "reasoning_output_tokens": 303
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3bc3838f5c448bef/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3bc3838f5c448bef/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c4b3b4e46fd2e8db83e58e97cce22676c57972df
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3bc3838f5c448bef/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_clickbench_group_count",
+    "template_name": "Grouped Count by Category",
+    "primary_family": "subgroup_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=feature_2.",
+  "planned_template_id": "tpl_clickbench_group_count",
+  "bindings": {
+    "group_col": "feature_2",
+    "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": 186.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3bc3838f5c448bef/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3bc3838f5c448bef/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..7cdceeae992fa86a17ccd4b7fa32b782f46181a4
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3bc3838f5c448bef/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40dd-9cc1-7142-8238-5712a74b7924"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"feature_2\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_2\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Applied the Grouped Count by Category template exactly, grouping by \\\"feature_2\\\" and counting rows per subgroup.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13427,"cached_input_tokens":12032,"output_tokens":385,"reasoning_output_tokens":303}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3bc3838f5c448bef/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3bc3838f5c448bef/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b98dc94a02fb3d5f3b031ef5554b6e5b1a24a230
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3bc3838f5c448bef/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"feature_2\", COUNT(*) AS \"row_count\"\nFROM \"n12\"\nGROUP BY \"feature_2\"\nORDER BY \"row_count\" DESC;","notes":"Applied the Grouped Count by Category template exactly, grouping by \"feature_2\" and counting rows per subgroup."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3bc3838f5c448bef/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3bc3838f5c448bef/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d09c9df7587d584/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d09c9df7587d584/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..a605ea659ccc8356930d9126ff7b8dfa83b2c2a7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d09c9df7587d584/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4535, "bytes_utf8": 4535, "lines": 142, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 316, "bytes_utf8": 316, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13465, "cached_input_tokens": 12672, "output_tokens": 279, "reasoning_output_tokens": 184}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d09c9df7587d584/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d09c9df7587d584/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..517b05e88ffb89b9e7528177ac9e4d5ab71504e0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d09c9df7587d584/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_3d09c9df7587d584",
+    "api_calls": 0,
+    "input_tokens": 13465,
+    "cached_input_tokens": 12672,
+    "output_tokens": 279,
+    "total_tokens": 13744,
+    "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": 9789.04,
+    "sql_execution_elapsed_ms_total": 103.26,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d09c9df7587d584/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d09c9df7587d584/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d09c9df7587d584/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..bdf908a4e84a7a56491e67164cab4f12ab2d7b41
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d09c9df7587d584/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:58:14.988184+00:00",
+  "ended_at": "2026-05-19T15:58:24.777268+00:00",
+  "elapsed_ms": 9789.04,
+  "prompt_metrics": {
+    "chars": 4535,
+    "bytes_utf8": 4535,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 669,
+    "bytes_utf8": 669,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 316,
+      "bytes_utf8": 316,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13465,
+      "cached_input_tokens": 12672,
+      "output_tokens": 279,
+      "reasoning_output_tokens": 184
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d09c9df7587d584/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d09c9df7587d584/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3111abab7f5f8e4afdf4dfc25bdbefef841fd74b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d09c9df7587d584/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=feature_3.",
+  "planned_template_id": "tpl_tail_low_support_group_count_v2",
+  "bindings": {
+    "group_col": "feature_3",
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d09c9df7587d584/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d09c9df7587d584/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..78c3c81daff659fdd1dfe20bdb84c77e9f46a11a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d09c9df7587d584/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f5-8ef3-73b3-9b04-c34557d95d50"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n    \\\"feature_3\\\",\\n    COUNT(*) AS support\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_3\\\"\\nORDER BY support ASC, \\\"feature_3\\\"\\nLIMIT 11;\",\"notes\":\"Applied the provided Low-Support Group Count template with group_col bound to \\\"feature_3\\\" and top_k=11.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13465,"cached_input_tokens":12672,"output_tokens":279,"reasoning_output_tokens":184}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d09c9df7587d584/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d09c9df7587d584/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..ffc169a9af98ccb1b85ef911ae93d52522202120
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d09c9df7587d584/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n    \"feature_3\",\n    COUNT(*) AS support\nFROM \"n12\"\nGROUP BY \"feature_3\"\nORDER BY support ASC, \"feature_3\"\nLIMIT 11;","notes":"Applied the provided Low-Support Group Count template with group_col bound to \"feature_3\" and top_k=11."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d09c9df7587d584/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d09c9df7587d584/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d1e14cb4323d1ba/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d1e14cb4323d1ba/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..417bd8a3b68807739bbc6e8413ed926c956255dc
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d1e14cb4323d1ba/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:58:32.448455+00:00",
+  "ended_at": "2026-05-19T15:58:35.767696+00:00",
+  "elapsed_ms": 3319.21,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4634,
+    "bytes_utf8": 4634,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d1e14cb4323d1ba/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d1e14cb4323d1ba/cli/sql_attempt_2.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..f62727742b35d44bffa6d0d24d43780faa76e7b6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d1e14cb4323d1ba/cli/sql_attempt_2.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:58:36.770240+00:00",
+  "ended_at": "2026-05-19T15:58:39.918455+00:00",
+  "elapsed_ms": 3148.17,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4634,
+    "bytes_utf8": 4634,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d1e14cb4323d1ba/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d1e14cb4323d1ba/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..7d56b2ff8d3933d6877bca788e6c9af9fce7448c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d1e14cb4323d1ba/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=feature_1, measure_col=feature_1.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "feature_1",
+    "measure_col": "feature_1",
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d1e14cb4323d1ba/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d1e14cb4323d1ba/cli/sql_prompt_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..7d56b2ff8d3933d6877bca788e6c9af9fce7448c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d1e14cb4323d1ba/cli/sql_prompt_attempt_2.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=feature_1, measure_col=feature_1.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "feature_1",
+    "measure_col": "feature_1",
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d1e14cb4323d1ba/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d1e14cb4323d1ba/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..94c5ed0719e86010f1e57f7882ad72ef42389066
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d1e14cb4323d1ba/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f5-d302-7a13-9eec-47019271e3c2"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d1e14cb4323d1ba/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d1e14cb4323d1ba/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a1f800d23d2d3dd414c7d608113a2676b246a873
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d1e14cb4323d1ba/cli/sql_response_attempt_1.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f5-d302-7a13-9eec-47019271e3c2"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d1e14cb4323d1ba/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d1e14cb4323d1ba/cli/sql_response_attempt_2.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c62253cade433a1cc2d8db0a4270e9a01354b049
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d1e14cb4323d1ba/cli/sql_response_attempt_2.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f5-e3ff-7503-aef7-493033b52738"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d1e14cb4323d1ba/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d1e14cb4323d1ba/cli/sql_response_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..f386396924904500cdc37fd03c7b442dfe1aee15
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d1e14cb4323d1ba/cli/sql_response_attempt_2.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f5-e3ff-7503-aef7-493033b52738"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d1e14cb4323d1ba/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d1e14cb4323d1ba/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d1e14cb4323d1ba/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d1e14cb4323d1ba/cli/sql_stderr_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d2df4029e8ab859/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d2df4029e8ab859/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..a1533144d64ba34fe423f09a6992b39a9a73f548
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d2df4029e8ab859/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:58:39.923784+00:00",
+  "ended_at": "2026-05-19T15:58:43.291145+00:00",
+  "elapsed_ms": 3367.33,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4634,
+    "bytes_utf8": 4634,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d2df4029e8ab859/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d2df4029e8ab859/cli/sql_attempt_2.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..cf81fe0fb16e2bec6b75eec5457578bb146fa883
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d2df4029e8ab859/cli/sql_attempt_2.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:58:44.293143+00:00",
+  "ended_at": "2026-05-19T15:58:47.847917+00:00",
+  "elapsed_ms": 3554.72,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4634,
+    "bytes_utf8": 4634,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d2df4029e8ab859/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d2df4029e8ab859/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..19548bc7b82e978f8e90b1fc85aec78b3e897f3c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d2df4029e8ab859/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=feature_1, measure_col=feature_1.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "feature_1",
+    "measure_col": "feature_1",
+    "top_k": 17,
+    "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": 100.24,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d2df4029e8ab859/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d2df4029e8ab859/cli/sql_prompt_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..19548bc7b82e978f8e90b1fc85aec78b3e897f3c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d2df4029e8ab859/cli/sql_prompt_attempt_2.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=feature_1, measure_col=feature_1.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "feature_1",
+    "measure_col": "feature_1",
+    "top_k": 17,
+    "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": 100.24,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d2df4029e8ab859/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d2df4029e8ab859/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8d85c799f8901bbb992a58e03c29bcc1d66a6e00
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d2df4029e8ab859/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f5-f050-7c61-979b-986bf2a76456"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d2df4029e8ab859/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d2df4029e8ab859/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..f185ce6e5aab252ae6895fbc3389705eed07fa91
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d2df4029e8ab859/cli/sql_response_attempt_1.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f5-f050-7c61-979b-986bf2a76456"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d2df4029e8ab859/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d2df4029e8ab859/cli/sql_response_attempt_2.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9b598d8cce0e5ffdbf2154170ce4b560d240a294
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d2df4029e8ab859/cli/sql_response_attempt_2.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f6-0183-7861-a32f-2e84a89ebfcb"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d2df4029e8ab859/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d2df4029e8ab859/cli/sql_response_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..788b2a147999d98ac05d300453f0fe0b6f48039d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d2df4029e8ab859/cli/sql_response_attempt_2.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f6-0183-7861-a32f-2e84a89ebfcb"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d2df4029e8ab859/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d2df4029e8ab859/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d2df4029e8ab859/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3d2df4029e8ab859/cli/sql_stderr_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3fe8b0a9ef9de28b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3fe8b0a9ef9de28b/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..410ddf4588c408381ef745173eb17038a4797073
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3fe8b0a9ef9de28b/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4956, "bytes_utf8": 4956, "lines": 146, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 563, "bytes_utf8": 563, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13572, "cached_input_tokens": 12672, "output_tokens": 479, "reasoning_output_tokens": 312}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3fe8b0a9ef9de28b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3fe8b0a9ef9de28b/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..b648764c7b90fe5bc1221ef3fa0ff550e05a65d4
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3fe8b0a9ef9de28b/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_3fe8b0a9ef9de28b",
+    "api_calls": 0,
+    "input_tokens": 13572,
+    "cached_input_tokens": 12672,
+    "output_tokens": 479,
+    "total_tokens": 14051,
+    "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": 9865.27,
+    "sql_execution_elapsed_ms_total": 201.05,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3fe8b0a9ef9de28b/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3fe8b0a9ef9de28b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3fe8b0a9ef9de28b/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..84138300573cf79d4c546e61a550cc99ee6125e5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3fe8b0a9ef9de28b/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:36:15.876053+00:00",
+  "ended_at": "2026-05-19T15:36:25.741349+00:00",
+  "elapsed_ms": 9865.27,
+  "prompt_metrics": {
+    "chars": 4956,
+    "bytes_utf8": 4956,
+    "lines": 146,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 946,
+    "bytes_utf8": 946,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 563,
+      "bytes_utf8": 563,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13572,
+      "cached_input_tokens": 12672,
+      "output_tokens": 479,
+      "reasoning_output_tokens": 312
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3fe8b0a9ef9de28b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3fe8b0a9ef9de28b/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..719171d32295e66ea843da096eef9c100d4e8ee4
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3fe8b0a9ef9de28b/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,146 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "required_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=target, measure_col=feature_2.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "target",
+    "measure_col": "feature_2",
+    "item_col": "feature_3",
+    "top_k": 16,
+    "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": 104.84,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3fe8b0a9ef9de28b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3fe8b0a9ef9de28b/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..f5cd87ba8cf3f89bf7d9724ec0b99db157dc32e9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3fe8b0a9ef9de28b/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e1-6e0a-7b02-8333-ac556b5a6cdf"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"target\\\",\\n  \\\"feature_3\\\",\\n  SUM(CAST(\\\"feature_2\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"feature_2\\\" AS REAL)) * 100.0\\n    / SUM(SUM(CAST(\\\"feature_2\\\" AS REAL))) OVER (PARTITION BY \\\"target\\\") AS share_within_group\\nFROM \\\"n12\\\"\\nGROUP BY \\\"target\\\", \\\"feature_3\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the requested template with group_col=\\\"target\\\", item_col=\\\"feature_3\\\", and measure_col=\\\"feature_2\\\". CAST is applied because the schema stores feature columns as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13572,"cached_input_tokens":12672,"output_tokens":479,"reasoning_output_tokens":312}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3fe8b0a9ef9de28b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3fe8b0a9ef9de28b/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..60f029fb31dee8e4b634104f334676781e44c100
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3fe8b0a9ef9de28b/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n  \"target\",\n  \"feature_3\",\n  SUM(CAST(\"feature_2\" AS REAL)) AS total_measure,\n  SUM(CAST(\"feature_2\" AS REAL)) * 100.0\n    / SUM(SUM(CAST(\"feature_2\" AS REAL))) OVER (PARTITION BY \"target\") AS share_within_group\nFROM \"n12\"\nGROUP BY \"target\", \"feature_3\"\nORDER BY share_within_group DESC;","notes":"Uses the requested template with group_col=\"target\", item_col=\"feature_3\", and measure_col=\"feature_2\". CAST is applied because the schema stores feature columns as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3fe8b0a9ef9de28b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_3fe8b0a9ef9de28b/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_404118175dc49b89/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_404118175dc49b89/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..fb85cc7dd9eaca5d2d8efeb8deaf87e888dd2006
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_404118175dc49b89/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4785, "bytes_utf8": 4785, "lines": 147, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 366, "bytes_utf8": 366, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13514, "cached_input_tokens": 12032, "output_tokens": 417, "reasoning_output_tokens": 310}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_404118175dc49b89/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_404118175dc49b89/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..cad3358e4702dd5558943e3a8cc9ae04748b5c56
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_404118175dc49b89/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_404118175dc49b89",
+    "api_calls": 0,
+    "input_tokens": 13514,
+    "cached_input_tokens": 12032,
+    "output_tokens": 417,
+    "total_tokens": 13931,
+    "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": 10132.74,
+    "sql_execution_elapsed_ms_total": 113.53,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_404118175dc49b89/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_404118175dc49b89/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_404118175dc49b89/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..6332dccf891ab59b502c7829ce04e8fd1f6ad01c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_404118175dc49b89/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:53:04.358948+00:00",
+  "ended_at": "2026-05-19T15:53:14.491727+00:00",
+  "elapsed_ms": 10132.74,
+  "prompt_metrics": {
+    "chars": 4785,
+    "bytes_utf8": 4785,
+    "lines": 147,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 729,
+    "bytes_utf8": 729,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 366,
+      "bytes_utf8": 366,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13514,
+      "cached_input_tokens": 12032,
+      "output_tokens": 417,
+      "reasoning_output_tokens": 310
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_404118175dc49b89/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_404118175dc49b89/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..7b62367c1d839865ea5a055afcfc10d35f548eaf
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_404118175dc49b89/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,147 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=feature_2, condition_col=target.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "feature_2",
+    "condition_col": "target",
+    "condition_value": "2",
+    "positive_value": "1",
+    "negative_value": "2",
+    "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": 116.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_404118175dc49b89/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_404118175dc49b89/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..5af6fd9959e98299a4145852595c31b51cdc955b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_404118175dc49b89/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f0-d18c-7192-b2c2-5a5e1f4e35f0"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"feature_2\\\",\\n       AVG(CASE WHEN \\\"target\\\" = '2' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_2\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Grouped by \\\"feature_2\\\" and computed the within-group proportion of rows where \\\"target\\\" = '2' using the requested template.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13514,"cached_input_tokens":12032,"output_tokens":417,"reasoning_output_tokens":310}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_404118175dc49b89/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_404118175dc49b89/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8761436232c289ac1f95ce7415504bd32bb3d175
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_404118175dc49b89/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"feature_2\",\n       AVG(CASE WHEN \"target\" = '2' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"n12\"\nGROUP BY \"feature_2\"\nORDER BY \"condition_rate\" DESC;","notes":"Grouped by \"feature_2\" and computed the within-group proportion of rows where \"target\" = '2' using the requested template."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_404118175dc49b89/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_404118175dc49b89/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_41bd0a6a3529a8bc/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_41bd0a6a3529a8bc/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..bb0f7a03e362b12454e809bdf2c0b5353a54e408
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_41bd0a6a3529a8bc/cli/conversation.jsonl
@@ -0,0 +1,4 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4531, "bytes_utf8": 4531, "lines": 142, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "}
+{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 4531, "bytes_utf8": 4531, "lines": 142, "estimated_tokens": null}}
+{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 308, "bytes_utf8": 308, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13460, "cached_input_tokens": 12672, "output_tokens": 226, "reasoning_output_tokens": 137}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_41bd0a6a3529a8bc/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_41bd0a6a3529a8bc/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..a1b6fca342443b71ef7cf247b3d466ef10f2b23e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_41bd0a6a3529a8bc/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 2,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_41bd0a6a3529a8bc",
+    "api_calls": 0,
+    "input_tokens": 13460,
+    "cached_input_tokens": 12672,
+    "output_tokens": 226,
+    "total_tokens": 13686,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 2,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 11696.39,
+    "sql_execution_elapsed_ms_total": 66.86,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_41bd0a6a3529a8bc/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_41bd0a6a3529a8bc/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_41bd0a6a3529a8bc/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..4691858b2e4e2e3f7a155d7859a21e7aa7dc4f4a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_41bd0a6a3529a8bc/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:57:28.684199+00:00",
+  "ended_at": "2026-05-19T15:57:32.166522+00:00",
+  "elapsed_ms": 3482.3,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4531,
+    "bytes_utf8": 4531,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_41bd0a6a3529a8bc/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_41bd0a6a3529a8bc/cli/sql_attempt_2.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..429765efb4da0d6ae45d62725a943fb323de6397
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_41bd0a6a3529a8bc/cli/sql_attempt_2.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:57:33.168827+00:00",
+  "ended_at": "2026-05-19T15:57:41.382962+00:00",
+  "elapsed_ms": 8214.09,
+  "prompt_metrics": {
+    "chars": 4531,
+    "bytes_utf8": 4531,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 661,
+    "bytes_utf8": 661,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 308,
+      "bytes_utf8": 308,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13460,
+      "cached_input_tokens": 12672,
+      "output_tokens": 226,
+      "reasoning_output_tokens": 137
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_41bd0a6a3529a8bc/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_41bd0a6a3529a8bc/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..47d5f149b4c16766f833e3e5045fdf1d85456810
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_41bd0a6a3529a8bc/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=target.",
+  "planned_template_id": "tpl_tail_low_support_group_count_v2",
+  "bindings": {
+    "group_col": "target",
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_41bd0a6a3529a8bc/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_41bd0a6a3529a8bc/cli/sql_prompt_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..47d5f149b4c16766f833e3e5045fdf1d85456810
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_41bd0a6a3529a8bc/cli/sql_prompt_attempt_2.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=target.",
+  "planned_template_id": "tpl_tail_low_support_group_count_v2",
+  "bindings": {
+    "group_col": "target",
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_41bd0a6a3529a8bc/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_41bd0a6a3529a8bc/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..730b5615fa9fd98564d3c705234752080a533499
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_41bd0a6a3529a8bc/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f4-da0a-7000-baf3-47d517a30aa6"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_41bd0a6a3529a8bc/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_41bd0a6a3529a8bc/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..eb8edcc1d600a3a77f094019596d2aa855cd81e0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_41bd0a6a3529a8bc/cli/sql_response_attempt_1.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f4-da0a-7000-baf3-47d517a30aa6"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_41bd0a6a3529a8bc/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_41bd0a6a3529a8bc/cli/sql_response_attempt_2.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2e46b1bf610b9293ac1860103b5811365d84fb92
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_41bd0a6a3529a8bc/cli/sql_response_attempt_2.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f4-eb88-7032-9b91-91987f06eb22"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n    \\\"target\\\",\\n    COUNT(*) AS support\\nFROM \\\"n12\\\"\\nGROUP BY \\\"target\\\"\\nORDER BY support ASC, \\\"target\\\"\\nLIMIT 18;\",\"notes\":\"Uses the provided Low-Support Group Count template with group_col bound to \\\"target\\\" and top_k set to 18.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13460,"cached_input_tokens":12672,"output_tokens":226,"reasoning_output_tokens":137}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_41bd0a6a3529a8bc/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_41bd0a6a3529a8bc/cli/sql_response_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..67006e35a987a26dfaa232db036cb74d0237be71
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_41bd0a6a3529a8bc/cli/sql_response_attempt_2.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n    \"target\",\n    COUNT(*) AS support\nFROM \"n12\"\nGROUP BY \"target\"\nORDER BY support ASC, \"target\"\nLIMIT 18;","notes":"Uses the provided Low-Support Group Count template with group_col bound to \"target\" and top_k set to 18."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_41bd0a6a3529a8bc/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_41bd0a6a3529a8bc/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_41bd0a6a3529a8bc/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_41bd0a6a3529a8bc/cli/sql_stderr_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_428012cd69aa57c4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_428012cd69aa57c4/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..40cd390e9f5be5abd3604747f09d6498abd11a1e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_428012cd69aa57c4/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:58:24.888090+00:00",
+  "ended_at": "2026-05-19T15:58:28.177317+00:00",
+  "elapsed_ms": 3289.2,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4537,
+    "bytes_utf8": 4537,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_428012cd69aa57c4/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_428012cd69aa57c4/cli/sql_attempt_2.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..f621dcaec78fc3e534634fe73d57ea2a98e3016b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_428012cd69aa57c4/cli/sql_attempt_2.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:58:29.179516+00:00",
+  "ended_at": "2026-05-19T15:58:32.444632+00:00",
+  "elapsed_ms": 3265.07,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4537,
+    "bytes_utf8": 4537,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_428012cd69aa57c4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_428012cd69aa57c4/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2fee7df8a59978bec6a06580154f000ce1247b4a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_428012cd69aa57c4/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=feature_3.",
+  "planned_template_id": "tpl_tail_low_support_group_count_v2",
+  "bindings": {
+    "group_col": "feature_3",
+    "top_k": 16,
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_428012cd69aa57c4/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_428012cd69aa57c4/cli/sql_prompt_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2fee7df8a59978bec6a06580154f000ce1247b4a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_428012cd69aa57c4/cli/sql_prompt_attempt_2.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=feature_3.",
+  "planned_template_id": "tpl_tail_low_support_group_count_v2",
+  "bindings": {
+    "group_col": "feature_3",
+    "top_k": 16,
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_428012cd69aa57c4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_428012cd69aa57c4/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..afc62e4bf6c8bb0e520de677c7e5be8dbb6adf76
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_428012cd69aa57c4/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f5-b5a6-71d1-af5a-ac4878fbcc37"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_428012cd69aa57c4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_428012cd69aa57c4/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..74d59c1ad94d9e92323811c0602bca0ef1600b86
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_428012cd69aa57c4/cli/sql_response_attempt_1.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f5-b5a6-71d1-af5a-ac4878fbcc37"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_428012cd69aa57c4/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_428012cd69aa57c4/cli/sql_response_attempt_2.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..86e91d163d64703c930308b0d52923ebc78e4f65
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_428012cd69aa57c4/cli/sql_response_attempt_2.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f5-c639-7c10-ae98-1de27f408001"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_428012cd69aa57c4/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_428012cd69aa57c4/cli/sql_response_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3240102ebe2ad6be1d5b89a97d6de5ace91bdb9a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_428012cd69aa57c4/cli/sql_response_attempt_2.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f5-c639-7c10-ae98-1de27f408001"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_428012cd69aa57c4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_428012cd69aa57c4/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_428012cd69aa57c4/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_428012cd69aa57c4/cli/sql_stderr_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_42fabdd853eeaef6/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_42fabdd853eeaef6/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..2e9be13ea8956e9688a0c25eca11b5c75cd6d143
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_42fabdd853eeaef6/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5106, "bytes_utf8": 5106, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 738, "bytes_utf8": 738, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13594, "cached_input_tokens": 12672, "output_tokens": 686, "reasoning_output_tokens": 482}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_42fabdd853eeaef6/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_42fabdd853eeaef6/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..c64d496aae62272289273cb6c259aabbf8733251
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_42fabdd853eeaef6/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_42fabdd853eeaef6",
+    "api_calls": 0,
+    "input_tokens": 13594,
+    "cached_input_tokens": 12672,
+    "output_tokens": 686,
+    "total_tokens": 14280,
+    "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": 14336.78,
+    "sql_execution_elapsed_ms_total": 124.87,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_42fabdd853eeaef6/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_42fabdd853eeaef6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_42fabdd853eeaef6/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..0649c66cde2eabe7d2411491d63edb3076a1cd89
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_42fabdd853eeaef6/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:43:26.273396+00:00",
+  "ended_at": "2026-05-19T15:43:40.610201+00:00",
+  "elapsed_ms": 14336.78,
+  "prompt_metrics": {
+    "chars": 5106,
+    "bytes_utf8": 5106,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1118,
+    "bytes_utf8": 1118,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 738,
+      "bytes_utf8": 738,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13594,
+      "cached_input_tokens": 12672,
+      "output_tokens": 686,
+      "reasoning_output_tokens": 482
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_42fabdd853eeaef6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_42fabdd853eeaef6/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d06d2d561b0b810111958124f18fd52b99bf2de0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_42fabdd853eeaef6/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "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;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=feature_1, measure_col=feature_2.",
+  "planned_template_id": "tpl_tpch_relative_total_threshold",
+  "bindings": {
+    "group_col": "feature_1",
+    "measure_col": "feature_2",
+    "top_k": 16,
+    "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": 104.84,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, 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;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_42fabdd853eeaef6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_42fabdd853eeaef6/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4dea257c81bdd0b3fd59b03dee0b538b9fcaea42
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_42fabdd853eeaef6/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e7-ff39-7b02-9599-e517e876c29e"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n  SELECT \\\"feature_1\\\", SUM(CAST(\\\"feature_2\\\" AS REAL)) AS group_value\\n  FROM \\\"n12\\\"\\n  WHERE \\\"feature_1\\\" IS NOT NULL AND \\\"feature_2\\\" IS NOT NULL\\n  GROUP BY \\\"feature_1\\\"\\n), total AS (\\n  SELECT SUM(group_value) AS total_value\\n  FROM grouped\\n)\\nSELECT g.\\\"feature_1\\\", 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 planned Relative-to-Total Extreme Threshold template with group_col=\\\"feature_1\\\", measure_col=\\\"feature_2\\\", and fraction_threshold=0.05. \\\"feature_2\\\" is cast to REAL because the schema stores numeric-looking values as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13594,"cached_input_tokens":12672,"output_tokens":686,"reasoning_output_tokens":482}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_42fabdd853eeaef6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_42fabdd853eeaef6/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4401cd9b1cf412a3a928c22d34951d133ba9a470
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_42fabdd853eeaef6/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n  SELECT \"feature_1\", SUM(CAST(\"feature_2\" AS REAL)) AS group_value\n  FROM \"n12\"\n  WHERE \"feature_1\" IS NOT NULL AND \"feature_2\" IS NOT NULL\n  GROUP BY \"feature_1\"\n), total AS (\n  SELECT SUM(group_value) AS total_value\n  FROM grouped\n)\nSELECT g.\"feature_1\", 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 planned Relative-to-Total Extreme Threshold template with group_col=\"feature_1\", measure_col=\"feature_2\", and fraction_threshold=0.05. \"feature_2\" is cast to REAL because the schema stores numeric-looking values as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_42fabdd853eeaef6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_42fabdd853eeaef6/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_49c8968914808aa1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_49c8968914808aa1/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..38c41c6eef245a32cadc6616fe35f005d29962b5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_49c8968914808aa1/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:59:33.694275+00:00",
+  "ended_at": "2026-05-19T15:59:36.602874+00:00",
+  "elapsed_ms": 2908.57,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4634,
+    "bytes_utf8": 4634,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_49c8968914808aa1/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_49c8968914808aa1/cli/sql_attempt_2.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..af7bc3402cc9a66c1d2d6f27609f641d66650609
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_49c8968914808aa1/cli/sql_attempt_2.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:59:37.604439+00:00",
+  "ended_at": "2026-05-19T15:59:40.844968+00:00",
+  "elapsed_ms": 3240.5,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4634,
+    "bytes_utf8": 4634,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_49c8968914808aa1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_49c8968914808aa1/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0ff37c7e334d465495360d288efc1acf72e5f91b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_49c8968914808aa1/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=feature_3, measure_col=feature_3.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "feature_3",
+    "measure_col": "feature_3",
+    "top_k": 19,
+    "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": 163.32,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_49c8968914808aa1/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_49c8968914808aa1/cli/sql_prompt_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0ff37c7e334d465495360d288efc1acf72e5f91b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_49c8968914808aa1/cli/sql_prompt_attempt_2.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=feature_3, measure_col=feature_3.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "feature_3",
+    "measure_col": "feature_3",
+    "top_k": 19,
+    "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": 163.32,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_49c8968914808aa1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_49c8968914808aa1/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a7ff6c9f401581bdd1d32a2f9605db5f4d532cb9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_49c8968914808aa1/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f6-c25d-7820-9549-063ad7910252"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_49c8968914808aa1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_49c8968914808aa1/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1a2e836f96ad39681e65818b0b9197ce33164231
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_49c8968914808aa1/cli/sql_response_attempt_1.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f6-c25d-7820-9549-063ad7910252"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_49c8968914808aa1/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_49c8968914808aa1/cli/sql_response_attempt_2.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..91ecd565f67fe840a16fbf775dbfc7dcdf8a0e89
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_49c8968914808aa1/cli/sql_response_attempt_2.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f6-d19c-79b3-acc9-04b35672ee2b"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_49c8968914808aa1/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_49c8968914808aa1/cli/sql_response_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b849dc23ec06634182f62174470643d6c5dfded2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_49c8968914808aa1/cli/sql_response_attempt_2.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f6-d19c-79b3-acc9-04b35672ee2b"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_49c8968914808aa1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_49c8968914808aa1/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_49c8968914808aa1/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_49c8968914808aa1/cli/sql_stderr_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_4b4368e8d034fea4/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_4b4368e8d034fea4/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..7d426880573fe80b201e9f8e821a596effe17e61
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_4b4368e8d034fea4/cli/conversation.jsonl
@@ -0,0 +1,4 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4772, "bytes_utf8": 4772, "lines": 147, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "}
+{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 4772, "bytes_utf8": 4772, "lines": 147, "estimated_tokens": null}}
+{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 470, "bytes_utf8": 470, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13509, "cached_input_tokens": 12672, "output_tokens": 431, "reasoning_output_tokens": 304}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_4b4368e8d034fea4/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_4b4368e8d034fea4/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..b6cea53238733bf570ddc627bef45f9c16f6da2e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_4b4368e8d034fea4/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 2,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_4b4368e8d034fea4",
+    "api_calls": 0,
+    "input_tokens": 13509,
+    "cached_input_tokens": 12672,
+    "output_tokens": 431,
+    "total_tokens": 13940,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 2,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 12837.91,
+    "sql_execution_elapsed_ms_total": 73.94,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_4b4368e8d034fea4/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_4b4368e8d034fea4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_4b4368e8d034fea4/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..270dffcc033818be3f29137f37d01a6c7d9d6eb2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_4b4368e8d034fea4/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:53:34.490708+00:00",
+  "ended_at": "2026-05-19T15:53:37.146356+00:00",
+  "elapsed_ms": 2655.62,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4772,
+    "bytes_utf8": 4772,
+    "lines": 147,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_4b4368e8d034fea4/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_4b4368e8d034fea4/cli/sql_attempt_2.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..67dc47cb8ab14da6a6089a3db7b62ad3aa2554d5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_4b4368e8d034fea4/cli/sql_attempt_2.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:53:38.148336+00:00",
+  "ended_at": "2026-05-19T15:53:48.330674+00:00",
+  "elapsed_ms": 10182.29,
+  "prompt_metrics": {
+    "chars": 4772,
+    "bytes_utf8": 4772,
+    "lines": 147,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 825,
+    "bytes_utf8": 825,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 470,
+      "bytes_utf8": 470,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13509,
+      "cached_input_tokens": 12672,
+      "output_tokens": 431,
+      "reasoning_output_tokens": 304
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_4b4368e8d034fea4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_4b4368e8d034fea4/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4bf9e9ee988da5d04ffaa4a3f132031be78f8be9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_4b4368e8d034fea4/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,147 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=target, condition_col=target.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "target",
+    "condition_col": "target",
+    "condition_value": "1",
+    "positive_value": "1",
+    "negative_value": "2",
+    "top_k": 14,
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_4b4368e8d034fea4/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_4b4368e8d034fea4/cli/sql_prompt_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4bf9e9ee988da5d04ffaa4a3f132031be78f8be9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_4b4368e8d034fea4/cli/sql_prompt_attempt_2.txt
@@ -0,0 +1,147 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=target, condition_col=target.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "target",
+    "condition_col": "target",
+    "condition_value": "1",
+    "positive_value": "1",
+    "negative_value": "2",
+    "top_k": 14,
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_4b4368e8d034fea4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_4b4368e8d034fea4/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..48fb57d33d23cf5e6817daf7bf2b7b863bae2444
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_4b4368e8d034fea4/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f1-4724-7c41-8a71-603f8f24a4bb"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_4b4368e8d034fea4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_4b4368e8d034fea4/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1bccd3f4af912dff227533db2af4272e2a2057e1
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_4b4368e8d034fea4/cli/sql_response_attempt_1.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f1-4724-7c41-8a71-603f8f24a4bb"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_4b4368e8d034fea4/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_4b4368e8d034fea4/cli/sql_response_attempt_2.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..76337b8c9e2c2cca1a0b9e94e1fef184e4ef7e34
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_4b4368e8d034fea4/cli/sql_response_attempt_2.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f1-5575-7f71-9847-75d7945a9a82"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"target\\\",\\n       AVG(CASE WHEN \\\"target\\\" = '1' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n12\\\"\\nGROUP BY \\\"target\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the Grouped Condition Rate template with group_col=\\\"target\\\" and condition_col=\\\"target\\\". Because the grouping column and condition column are the same, the resulting rate is 1.0 for rows where target='1' and 0.0 for other target groups.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13509,"cached_input_tokens":12672,"output_tokens":431,"reasoning_output_tokens":304}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_4b4368e8d034fea4/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_4b4368e8d034fea4/cli/sql_response_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3d1aea4ec5db8ecae6bedea0c891c1c351628ae1
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_4b4368e8d034fea4/cli/sql_response_attempt_2.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"target\",\n       AVG(CASE WHEN \"target\" = '1' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n12\"\nGROUP BY \"target\"\nORDER BY condition_rate DESC;","notes":"Uses the Grouped Condition Rate template with group_col=\"target\" and condition_col=\"target\". Because the grouping column and condition column are the same, the resulting rate is 1.0 for rows where target='1' and 0.0 for other target groups."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_4b4368e8d034fea4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_4b4368e8d034fea4/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_4b4368e8d034fea4/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_4b4368e8d034fea4/cli/sql_stderr_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_51778d6603dab94d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_51778d6603dab94d/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..ebd27c5a37dffe51d94d17166ccdb578afa5ec85
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_51778d6603dab94d/cli/conversation.jsonl
@@ -0,0 +1,4 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4535, "bytes_utf8": 4535, "lines": 142, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "}
+{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 4535, "bytes_utf8": 4535, "lines": 142, "estimated_tokens": null}}
+{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 322, "bytes_utf8": 322, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13462, "cached_input_tokens": 12672, "output_tokens": 333, "reasoning_output_tokens": 235}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_51778d6603dab94d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_51778d6603dab94d/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..5552546c04ce83e39443b2bcea3acb244d69acdc
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_51778d6603dab94d/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 2,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_51778d6603dab94d",
+    "api_calls": 0,
+    "input_tokens": 13462,
+    "cached_input_tokens": 12672,
+    "output_tokens": 333,
+    "total_tokens": 13795,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 2,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 12795.33,
+    "sql_execution_elapsed_ms_total": 97.97,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_51778d6603dab94d/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_51778d6603dab94d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_51778d6603dab94d/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..921d0fd85186a472ac4dba955252d6ddec766ebb
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_51778d6603dab94d/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:56:40.267040+00:00",
+  "ended_at": "2026-05-19T15:56:43.496069+00:00",
+  "elapsed_ms": 3229.0,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4535,
+    "bytes_utf8": 4535,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_51778d6603dab94d/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_51778d6603dab94d/cli/sql_attempt_2.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..7d533becd716db1f1eec09c34c6bd8478de83f49
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_51778d6603dab94d/cli/sql_attempt_2.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:56:44.497987+00:00",
+  "ended_at": "2026-05-19T15:56:54.064379+00:00",
+  "elapsed_ms": 9566.33,
+  "prompt_metrics": {
+    "chars": 4535,
+    "bytes_utf8": 4535,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 683,
+    "bytes_utf8": 683,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 322,
+      "bytes_utf8": 322,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13462,
+      "cached_input_tokens": 12672,
+      "output_tokens": 333,
+      "reasoning_output_tokens": 235
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_51778d6603dab94d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_51778d6603dab94d/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8030e7141de771a176463211961dedb63d6b9434
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_51778d6603dab94d/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_2.",
+  "planned_template_id": "tpl_tail_low_support_group_count_v2",
+  "bindings": {
+    "group_col": "feature_2",
+    "top_k": 11,
+    "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": 116.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_51778d6603dab94d/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_51778d6603dab94d/cli/sql_prompt_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8030e7141de771a176463211961dedb63d6b9434
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_51778d6603dab94d/cli/sql_prompt_attempt_2.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_2.",
+  "planned_template_id": "tpl_tail_low_support_group_count_v2",
+  "bindings": {
+    "group_col": "feature_2",
+    "top_k": 11,
+    "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": 116.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_51778d6603dab94d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_51778d6603dab94d/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..68f5e7fe438d38c7c9ff8ce5e95ee9357e11a34a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_51778d6603dab94d/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f4-1ce7-7d32-9afc-e58a3dc9b1e1"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_51778d6603dab94d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_51778d6603dab94d/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4a5fd06a756a5885424d195cb7051ac94fbf0123
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_51778d6603dab94d/cli/sql_response_attempt_1.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f4-1ce7-7d32-9afc-e58a3dc9b1e1"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_51778d6603dab94d/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_51778d6603dab94d/cli/sql_response_attempt_2.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c66b5a0e2e2fad5e30a6ab87a5e187560693a944
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_51778d6603dab94d/cli/sql_response_attempt_2.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f4-2d57-7953-8e91-a5c90f3eb5ad"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n    \\\"feature_2\\\",\\n    COUNT(*) AS \\\"support\\\"\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_2\\\"\\nORDER BY \\\"support\\\" ASC, \\\"feature_2\\\"\\nLIMIT 11;\",\"notes\":\"Applies the Low-Support Group Count template to \\\"feature_2\\\" and returns the 11 least frequent groups.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13462,"cached_input_tokens":12672,"output_tokens":333,"reasoning_output_tokens":235}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_51778d6603dab94d/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_51778d6603dab94d/cli/sql_response_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..65d2528a861630754dec8752b231dc4e35796e2b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_51778d6603dab94d/cli/sql_response_attempt_2.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n    \"feature_2\",\n    COUNT(*) AS \"support\"\nFROM \"n12\"\nGROUP BY \"feature_2\"\nORDER BY \"support\" ASC, \"feature_2\"\nLIMIT 11;","notes":"Applies the Low-Support Group Count template to \"feature_2\" and returns the 11 least frequent groups."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_51778d6603dab94d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_51778d6603dab94d/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_51778d6603dab94d/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_51778d6603dab94d/cli/sql_stderr_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_538efc1752f06b10/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_538efc1752f06b10/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..e0b9e062e15010bfe78eb11c033ddca601040aaa
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_538efc1752f06b10/cli/conversation.jsonl
@@ -0,0 +1,4 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4483, "bytes_utf8": 4483, "lines": 142, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "}
+{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 4483, "bytes_utf8": 4483, "lines": 142, "estimated_tokens": null}}
+{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 381, "bytes_utf8": 381, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13443, "cached_input_tokens": 12032, "output_tokens": 298, "reasoning_output_tokens": 186}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_538efc1752f06b10/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_538efc1752f06b10/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..9b5c5d0551697a5768992cc52990b5e5cb89801f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_538efc1752f06b10/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 2,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_538efc1752f06b10",
+    "api_calls": 0,
+    "input_tokens": 13443,
+    "cached_input_tokens": 12032,
+    "output_tokens": 298,
+    "total_tokens": 13741,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 2,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 11238.56,
+    "sql_execution_elapsed_ms_total": 25.39,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_538efc1752f06b10/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_538efc1752f06b10/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_538efc1752f06b10/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..ca86bf8737a7744e7597990441f7d4462c7485bb
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_538efc1752f06b10/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:55:25.394103+00:00",
+  "ended_at": "2026-05-19T15:55:28.650856+00:00",
+  "elapsed_ms": 3256.72,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4483,
+    "bytes_utf8": 4483,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_538efc1752f06b10/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_538efc1752f06b10/cli/sql_attempt_2.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..c216794b27a176bc5fb12e47968ac75a72fa26a4
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_538efc1752f06b10/cli/sql_attempt_2.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:55:29.652338+00:00",
+  "ended_at": "2026-05-19T15:55:37.634210+00:00",
+  "elapsed_ms": 7981.84,
+  "prompt_metrics": {
+    "chars": 4483,
+    "bytes_utf8": 4483,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 729,
+    "bytes_utf8": 729,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 381,
+      "bytes_utf8": 381,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13443,
+      "cached_input_tokens": 12032,
+      "output_tokens": 298,
+      "reasoning_output_tokens": 186
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_538efc1752f06b10/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_538efc1752f06b10/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b8c1bb9be4f879330e2d4cc575af8290e0b3b086
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_538efc1752f06b10/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_threshold_rarity_cdf",
+    "template_name": "Threshold Rarity CDF",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};",
+    "required_roles": [
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_3.",
+  "planned_template_id": "tpl_threshold_rarity_cdf",
+  "bindings": {
+    "measure_col": "feature_3",
+    "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": 186.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_538efc1752f06b10/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_538efc1752f06b10/cli/sql_prompt_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b8c1bb9be4f879330e2d4cc575af8290e0b3b086
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_538efc1752f06b10/cli/sql_prompt_attempt_2.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_threshold_rarity_cdf",
+    "template_name": "Threshold Rarity CDF",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};",
+    "required_roles": [
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_3.",
+  "planned_template_id": "tpl_threshold_rarity_cdf",
+  "bindings": {
+    "measure_col": "feature_3",
+    "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": 186.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_538efc1752f06b10/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_538efc1752f06b10/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..294ecaa86ec9d69a5d2ebe1ec1baef0622f9f6e2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_538efc1752f06b10/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f2-f849-7152-b84a-dfacea1cf465"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_538efc1752f06b10/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_538efc1752f06b10/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a456e4c5bef0e0017e87836ab648985154bb4d32
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_538efc1752f06b10/cli/sql_response_attempt_1.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f2-f849-7152-b84a-dfacea1cf465"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_538efc1752f06b10/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_538efc1752f06b10/cli/sql_response_attempt_2.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..cafe421e5c16a01750a1d751e2513f210e32e15c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_538efc1752f06b10/cli/sql_response_attempt_2.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f3-091b-7393-856f-44d725c1f823"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"feature_3\\\" AS REAL) <= 186.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"n12\\\";\",\"notes\":\"Applied the provided Threshold Rarity CDF template with measure_col bound to \\\"feature_3\\\" and measure_threshold fixed at 186.0. Cast \\\"feature_3\\\" to REAL because the schema stores it as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13443,"cached_input_tokens":12032,"output_tokens":298,"reasoning_output_tokens":186}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_538efc1752f06b10/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_538efc1752f06b10/cli/sql_response_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..53f41dd4a214fd50d05874074e1a0e9474def471
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_538efc1752f06b10/cli/sql_response_attempt_2.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"feature_3\" AS REAL) <= 186.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"n12\";","notes":"Applied the provided Threshold Rarity CDF template with measure_col bound to \"feature_3\" and measure_threshold fixed at 186.0. Cast \"feature_3\" to REAL because the schema stores it as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_538efc1752f06b10/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_538efc1752f06b10/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_538efc1752f06b10/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_538efc1752f06b10/cli/sql_stderr_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_53f392a9c0a832a9/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_53f392a9c0a832a9/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..d6fbfb9b090f17225f0fb823b679a62392c29ebe
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_53f392a9c0a832a9/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4957, "bytes_utf8": 4957, "lines": 146, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 598, "bytes_utf8": 598, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13575, "cached_input_tokens": 12032, "output_tokens": 697, "reasoning_output_tokens": 516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_53f392a9c0a832a9/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_53f392a9c0a832a9/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..c3967984635a99b0886c7e67126c8d3ab167d89b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_53f392a9c0a832a9/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_53f392a9c0a832a9",
+    "api_calls": 0,
+    "input_tokens": 13575,
+    "cached_input_tokens": 12032,
+    "output_tokens": 697,
+    "total_tokens": 14272,
+    "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": 14045.97,
+    "sql_execution_elapsed_ms_total": 229.55,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_53f392a9c0a832a9/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_53f392a9c0a832a9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_53f392a9c0a832a9/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..f683e7b5a1188100dbaed4c84572ff9ca2224c8c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_53f392a9c0a832a9/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:35:49.526268+00:00",
+  "ended_at": "2026-05-19T15:36:03.572262+00:00",
+  "elapsed_ms": 14045.97,
+  "prompt_metrics": {
+    "chars": 4957,
+    "bytes_utf8": 4957,
+    "lines": 146,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 978,
+    "bytes_utf8": 978,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 598,
+      "bytes_utf8": 598,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13575,
+      "cached_input_tokens": 12032,
+      "output_tokens": 697,
+      "reasoning_output_tokens": 516
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_53f392a9c0a832a9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_53f392a9c0a832a9/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..dc28a028a7657ca68d32f9202118ae1428d22a8d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_53f392a9c0a832a9/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,146 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "required_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_3, measure_col=feature_1.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "feature_3",
+    "measure_col": "feature_1",
+    "item_col": "feature_2",
+    "top_k": 15,
+    "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": 100.24,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_53f392a9c0a832a9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_53f392a9c0a832a9/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..ae24e59352a6c312d3ce275efb1c9f670c8fddf6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_53f392a9c0a832a9/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e1-0719-7900-92ea-88f184102874"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"feature_3\\\", \\\"feature_2\\\",\\n       SUM(CAST(\\\"feature_1\\\" AS REAL)) AS \\\"total_measure\\\",\\n       SUM(CAST(\\\"feature_1\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_1\\\" AS REAL))) OVER (PARTITION BY \\\"feature_3\\\") AS \\\"share_within_group\\\"\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_3\\\", \\\"feature_2\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=feature_3, item_col=feature_2, and measure_col=feature_1. Cast feature_1 from TEXT to REAL so SQLite sums numerically.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13575,"cached_input_tokens":12032,"output_tokens":697,"reasoning_output_tokens":516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_53f392a9c0a832a9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_53f392a9c0a832a9/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..7ce00d370b2cd51ac1fdf794c4b6f8ac916a2efc
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_53f392a9c0a832a9/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"feature_3\", \"feature_2\",\n       SUM(CAST(\"feature_1\" AS REAL)) AS \"total_measure\",\n       SUM(CAST(\"feature_1\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_1\" AS REAL))) OVER (PARTITION BY \"feature_3\") AS \"share_within_group\"\nFROM \"n12\"\nGROUP BY \"feature_3\", \"feature_2\"\nORDER BY \"share_within_group\" DESC;","notes":"Applied the provided Within-Group Share of Total template with group_col=feature_3, item_col=feature_2, and measure_col=feature_1. Cast feature_1 from TEXT to REAL so SQLite sums numerically."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_53f392a9c0a832a9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_53f392a9c0a832a9/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_540d717f4df03368/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_540d717f4df03368/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..f9b48285df233544ad432d8434c07242d5286742
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_540d717f4df03368/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4954, "bytes_utf8": 4954, "lines": 146, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 566, "bytes_utf8": 566, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13575, "cached_input_tokens": 12032, "output_tokens": 502, "reasoning_output_tokens": 326}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_540d717f4df03368/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_540d717f4df03368/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..d388c23804fea1e4405e6b2789bc2115c913c875
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_540d717f4df03368/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_540d717f4df03368",
+    "api_calls": 0,
+    "input_tokens": 13575,
+    "cached_input_tokens": 12032,
+    "output_tokens": 502,
+    "total_tokens": 14077,
+    "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": 9917.98,
+    "sql_execution_elapsed_ms_total": 224.37,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_540d717f4df03368/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_540d717f4df03368/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_540d717f4df03368/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..527437236ce26ced00413af0bf15ca695e14d196
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_540d717f4df03368/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:33:11.757193+00:00",
+  "ended_at": "2026-05-19T15:33:21.675223+00:00",
+  "elapsed_ms": 9917.98,
+  "prompt_metrics": {
+    "chars": 4954,
+    "bytes_utf8": 4954,
+    "lines": 146,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 952,
+    "bytes_utf8": 952,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 566,
+      "bytes_utf8": 566,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13575,
+      "cached_input_tokens": 12032,
+      "output_tokens": 502,
+      "reasoning_output_tokens": 326
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_540d717f4df03368/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_540d717f4df03368/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d4291c8570f7d375315423437c6d1563a6134dc7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_540d717f4df03368/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,146 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "required_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_2, measure_col=feature_2.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "feature_2",
+    "measure_col": "feature_2",
+    "item_col": "feature_3",
+    "top_k": 10,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 116.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_540d717f4df03368/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_540d717f4df03368/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e6314e774ebc363212682387facb5c3c58d1bced
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_540d717f4df03368/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40de-9ec9-7e51-8c58-ee0c69a5df64"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"feature_2\\\",\\n  \\\"feature_3\\\",\\n  SUM(CAST(\\\"feature_2\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"feature_2\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_2\\\" AS REAL))) OVER (PARTITION BY \\\"feature_2\\\") AS share_within_group\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_2\\\", \\\"feature_3\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the requested template with group_col=\\\"feature_2\\\", item_col=\\\"feature_3\\\", and measure_col=\\\"feature_2\\\". Casted \\\"feature_2\\\" from TEXT to REAL for SQLite aggregation.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13575,"cached_input_tokens":12032,"output_tokens":502,"reasoning_output_tokens":326}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_540d717f4df03368/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_540d717f4df03368/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1a80d6aa0468244d0b277bde8163407e485487b8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_540d717f4df03368/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n  \"feature_2\",\n  \"feature_3\",\n  SUM(CAST(\"feature_2\" AS REAL)) AS total_measure,\n  SUM(CAST(\"feature_2\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_2\" AS REAL))) OVER (PARTITION BY \"feature_2\") AS share_within_group\nFROM \"n12\"\nGROUP BY \"feature_2\", \"feature_3\"\nORDER BY share_within_group DESC;","notes":"Used the requested template with group_col=\"feature_2\", item_col=\"feature_3\", and measure_col=\"feature_2\". Casted \"feature_2\" from TEXT to REAL for SQLite aggregation."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_540d717f4df03368/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_540d717f4df03368/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_573e877cc92d23c3/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_573e877cc92d23c3/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..59fa85c0c62ec66f05c8f93c540dd545267bd6ca
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_573e877cc92d23c3/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4541, "bytes_utf8": 4541, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 354, "bytes_utf8": 354, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13452, "cached_input_tokens": 12032, "output_tokens": 293, "reasoning_output_tokens": 197}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_577b3e6a84ba9954/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_577b3e6a84ba9954/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..67e4d72fd4babdec9d22fecb81808436f94a57d0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_577b3e6a84ba9954/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4456, "bytes_utf8": 4456, "lines": 142, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 339, "bytes_utf8": 339, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13427, "cached_input_tokens": 12032, "output_tokens": 346, "reasoning_output_tokens": 257}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_577b3e6a84ba9954/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_577b3e6a84ba9954/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..5472e97011f34a1fa8e8a8ebb8d972a4fb0d46b6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_577b3e6a84ba9954/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_577b3e6a84ba9954",
+    "api_calls": 0,
+    "input_tokens": 13427,
+    "cached_input_tokens": 12032,
+    "output_tokens": 346,
+    "total_tokens": 13773,
+    "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": 19298.04,
+    "sql_execution_elapsed_ms_total": 95.09,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_577b3e6a84ba9954/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_577b3e6a84ba9954/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_577b3e6a84ba9954/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..d8fc7b67ba87e7daab95832aa4c34dbf1e266d5e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_577b3e6a84ba9954/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:31:02.769146+00:00",
+  "ended_at": "2026-05-19T15:31:22.067212+00:00",
+  "elapsed_ms": 19298.04,
+  "prompt_metrics": {
+    "chars": 4456,
+    "bytes_utf8": 4456,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1688,
+    "bytes_utf8": 1688,
+    "lines": 7,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 339,
+      "bytes_utf8": 339,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13427,
+      "cached_input_tokens": 12032,
+      "output_tokens": 346,
+      "reasoning_output_tokens": 257
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_577b3e6a84ba9954/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_577b3e6a84ba9954/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..673b9779cf2609b263ce6ab9270ba4f0c9cec8a8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_577b3e6a84ba9954/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_clickbench_group_count",
+    "template_name": "Grouped Count by Category",
+    "primary_family": "subgroup_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=feature_1.",
+  "planned_template_id": "tpl_clickbench_group_count",
+  "bindings": {
+    "group_col": "feature_1",
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_577b3e6a84ba9954/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_577b3e6a84ba9954/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..674087d85537e4f215e3b59fb3af9c11c9c487f2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_577b3e6a84ba9954/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,7 @@
+{"type":"thread.started","thread_id":"019e40dc-a713-7953-bdb7-8536ca3a804c"}
+{"type":"turn.started"}
+{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 14062. Please try again in 421ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"}
+{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1989841, Requested 14062. Please try again in 117ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"}
+{"type":"error","message":"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 14062. Please try again in 421ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"feature_1\\\", COUNT(*) AS row_count\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_1\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applied the planned grouped-count template exactly, binding group_col to \\\"feature_1\\\" on the single table \\\"n12\\\" to measure the count distribution of subgroup sizes.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13427,"cached_input_tokens":12032,"output_tokens":346,"reasoning_output_tokens":257}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_577b3e6a84ba9954/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_577b3e6a84ba9954/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e41ce01fb52d879c643bb773843c73ea3f25c50c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_577b3e6a84ba9954/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"feature_1\", COUNT(*) AS row_count\nFROM \"n12\"\nGROUP BY \"feature_1\"\nORDER BY row_count DESC;","notes":"Applied the planned grouped-count template exactly, binding group_col to \"feature_1\" on the single table \"n12\" to measure the count distribution of subgroup sizes."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_577b3e6a84ba9954/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_577b3e6a84ba9954/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_58ee72be2285b54d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_58ee72be2285b54d/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..41b79e8f23201bdc47b85329ccaad539accd37b5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_58ee72be2285b54d/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4785, "bytes_utf8": 4785, "lines": 147, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 353, "bytes_utf8": 353, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13514, "cached_input_tokens": 12672, "output_tokens": 357, "reasoning_output_tokens": 256}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_58ee72be2285b54d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_58ee72be2285b54d/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..f09ca72a1ae26eaace5873826dcccb1cd6bb5af7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_58ee72be2285b54d/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_58ee72be2285b54d",
+    "api_calls": 0,
+    "input_tokens": 13514,
+    "cached_input_tokens": 12672,
+    "output_tokens": 357,
+    "total_tokens": 13871,
+    "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": 8817.47,
+    "sql_execution_elapsed_ms_total": 112.37,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_58ee72be2285b54d/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_58ee72be2285b54d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_58ee72be2285b54d/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..be03bf90cc003eb483c6bf292b5243ec1af17026
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_58ee72be2285b54d/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:54:30.468758+00:00",
+  "ended_at": "2026-05-19T15:54:39.286247+00:00",
+  "elapsed_ms": 8817.47,
+  "prompt_metrics": {
+    "chars": 4785,
+    "bytes_utf8": 4785,
+    "lines": 147,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 700,
+    "bytes_utf8": 700,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 353,
+      "bytes_utf8": 353,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13514,
+      "cached_input_tokens": 12672,
+      "output_tokens": 357,
+      "reasoning_output_tokens": 256
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_58ee72be2285b54d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_58ee72be2285b54d/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..ab817aae744b1247b22703a8756d743325e09c56
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_58ee72be2285b54d/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,147 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=feature_2, condition_col=target.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "feature_2",
+    "condition_col": "target",
+    "condition_value": "2",
+    "positive_value": "1",
+    "negative_value": "2",
+    "top_k": 16,
+    "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": 186.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_58ee72be2285b54d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_58ee72be2285b54d/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0b991d6a78784b573c0f1a60e03e2c33d963ffa9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_58ee72be2285b54d/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f2-21c5-71d0-b23a-0f4ce985e24f"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"feature_2\\\",\\n       AVG(CASE WHEN \\\"target\\\" = '2' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_2\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Computes the within-group proportion of rows with target='2' for each feature_2 value, ordered by highest condition rate.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13514,"cached_input_tokens":12672,"output_tokens":357,"reasoning_output_tokens":256}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_58ee72be2285b54d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_58ee72be2285b54d/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..888f86f4eccab02f457269f8192dc1e0461d9c99
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_58ee72be2285b54d/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"feature_2\",\n       AVG(CASE WHEN \"target\" = '2' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n12\"\nGROUP BY \"feature_2\"\nORDER BY condition_rate DESC;","notes":"Computes the within-group proportion of rows with target='2' for each feature_2 value, ordered by highest condition rate."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_58ee72be2285b54d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_58ee72be2285b54d/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_60ef08906b839f49/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_60ef08906b839f49/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..fb3d2eee9aef99681284a3f7c1f2e4688ed2759a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_60ef08906b839f49/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4724, "bytes_utf8": 4724, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 752, "bytes_utf8": 752, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13490, "cached_input_tokens": 12672, "output_tokens": 1706, "reasoning_output_tokens": 1484}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_60ef08906b839f49/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_60ef08906b839f49/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..8dce31ab160527ab2334ba299d0f799b300f9f9b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_60ef08906b839f49/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_60ef08906b839f49",
+    "api_calls": 0,
+    "input_tokens": 13490,
+    "cached_input_tokens": 12672,
+    "output_tokens": 1706,
+    "total_tokens": 15196,
+    "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": 28028.92,
+    "sql_execution_elapsed_ms_total": 609.12,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_60ef08906b839f49/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_60ef08906b839f49/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_60ef08906b839f49/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..156eedad24a5d9ff6d014d1efffe4ccfaf3b119d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_60ef08906b839f49/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:47:44.826942+00:00",
+  "ended_at": "2026-05-19T15:48:12.855891+00:00",
+  "elapsed_ms": 28028.92,
+  "prompt_metrics": {
+    "chars": 4724,
+    "bytes_utf8": 4724,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1175,
+    "bytes_utf8": 1175,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 752,
+      "bytes_utf8": 752,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13490,
+      "cached_input_tokens": 12672,
+      "output_tokens": 1706,
+      "reasoning_output_tokens": 1484
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_60ef08906b839f49/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_60ef08906b839f49/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9614e9314a73e1fd0b2844a405493a570172cf4f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_60ef08906b839f49/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=target, measure_col=feature_1.",
+  "planned_template_id": "tpl_grouped_percentile_point",
+  "bindings": {
+    "group_col": "target",
+    "measure_col": "feature_1",
+    "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": 100.24,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_60ef08906b839f49/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_60ef08906b839f49/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..5eb710cec9cf485a4e66534c399459d4d5ca792a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_60ef08906b839f49/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40eb-f1c7-7263-85d6-5826e258e29e"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n  SELECT\\n    \\\"target\\\",\\n    CAST(\\\"feature_1\\\" AS REAL) AS \\\"measure_value\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY \\\"target\\\"\\n      ORDER BY CAST(\\\"feature_1\\\" AS REAL)\\n    ) AS \\\"rn\\\",\\n    COUNT(*) OVER (\\n      PARTITION BY \\\"target\\\"\\n    ) AS \\\"cnt\\\"\\n  FROM \\\"n12\\\"\\n)\\nSELECT\\n  \\\"target\\\",\\n  \\\"measure_value\\\" AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"rn\\\" = CAST(((95 * \\\"cnt\\\") + 99) / 100 AS INTEGER)\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 95th percentile per \\\"target\\\" group via window functions. \\\"feature_1\\\" is cast from TEXT to REAL for numeric ordering.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13490,"cached_input_tokens":12672,"output_tokens":1706,"reasoning_output_tokens":1484}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_60ef08906b839f49/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_60ef08906b839f49/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d15c6e0b2cc9e903bc05b76b9cde021b9a7722f9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_60ef08906b839f49/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n  SELECT\n    \"target\",\n    CAST(\"feature_1\" AS REAL) AS \"measure_value\",\n    ROW_NUMBER() OVER (\n      PARTITION BY \"target\"\n      ORDER BY CAST(\"feature_1\" AS REAL)\n    ) AS \"rn\",\n    COUNT(*) OVER (\n      PARTITION BY \"target\"\n    ) AS \"cnt\"\n  FROM \"n12\"\n)\nSELECT\n  \"target\",\n  \"measure_value\" AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"rn\" = CAST(((95 * \"cnt\") + 99) / 100 AS INTEGER)\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 95th percentile per \"target\" group via window functions. \"feature_1\" is cast from TEXT to REAL for numeric ordering."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_60ef08906b839f49/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_60ef08906b839f49/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_6d619df0126a32c3/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_6d619df0126a32c3/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..c07f6bd64a4317e9ef5a622feddbab1d837f1dfc
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_6d619df0126a32c3/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:55:37.664684+00:00",
+  "ended_at": "2026-05-19T15:55:40.809873+00:00",
+  "elapsed_ms": 3145.16,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4482,
+    "bytes_utf8": 4482,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_6d619df0126a32c3/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_6d619df0126a32c3/cli/sql_attempt_2.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..d2e5cad381e9e5c88c2f25b3fdf9f329160b85b3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_6d619df0126a32c3/cli/sql_attempt_2.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:55:41.811286+00:00",
+  "ended_at": "2026-05-19T15:55:44.970498+00:00",
+  "elapsed_ms": 3159.17,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4482,
+    "bytes_utf8": 4482,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_6d619df0126a32c3/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_6d619df0126a32c3/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c22de2131b662c97717029d00e4548aaf3d378c8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_6d619df0126a32c3/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_threshold_rarity_cdf",
+    "template_name": "Threshold Rarity CDF",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};",
+    "required_roles": [
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_1.",
+  "planned_template_id": "tpl_threshold_rarity_cdf",
+  "bindings": {
+    "measure_col": "feature_1",
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_6d619df0126a32c3/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_6d619df0126a32c3/cli/sql_prompt_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c22de2131b662c97717029d00e4548aaf3d378c8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_6d619df0126a32c3/cli/sql_prompt_attempt_2.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_threshold_rarity_cdf",
+    "template_name": "Threshold Rarity CDF",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};",
+    "required_roles": [
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_1.",
+  "planned_template_id": "tpl_threshold_rarity_cdf",
+  "bindings": {
+    "measure_col": "feature_1",
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_6d619df0126a32c3/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_6d619df0126a32c3/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..ca51de32c4eb35e63daec3c4c26728200d077465
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_6d619df0126a32c3/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f3-284f-71d2-bb5a-7904916834aa"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_6d619df0126a32c3/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_6d619df0126a32c3/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..7335a6df2ac208492414c000f4d9fdcdddd3706e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_6d619df0126a32c3/cli/sql_response_attempt_1.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f3-284f-71d2-bb5a-7904916834aa"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_6d619df0126a32c3/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_6d619df0126a32c3/cli/sql_response_attempt_2.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a21f09a9dade6fda92c400cc2ee33d33ce4837ce
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_6d619df0126a32c3/cli/sql_response_attempt_2.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f3-388e-7c91-8bd0-c1c4470f9ab7"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_6d619df0126a32c3/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_6d619df0126a32c3/cli/sql_response_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..f392ae01feb19bda398a274f2e9a99f5c0106d2a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_6d619df0126a32c3/cli/sql_response_attempt_2.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f3-388e-7c91-8bd0-c1c4470f9ab7"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_6d619df0126a32c3/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_6d619df0126a32c3/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_6d619df0126a32c3/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_6d619df0126a32c3/cli/sql_stderr_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_70c6ebd1768f6430/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_70c6ebd1768f6430/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..cc862a910a9a5c1b9d747de1444e371eb0be6b7a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_70c6ebd1768f6430/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5103, "bytes_utf8": 5103, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 635, "bytes_utf8": 635, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13594, "cached_input_tokens": 12032, "output_tokens": 435, "reasoning_output_tokens": 261}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_70c6ebd1768f6430/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_70c6ebd1768f6430/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..fb474bdae74d65d49a5d254d417cefad41fbd634
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_70c6ebd1768f6430/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_70c6ebd1768f6430",
+    "api_calls": 0,
+    "input_tokens": 13594,
+    "cached_input_tokens": 12032,
+    "output_tokens": 435,
+    "total_tokens": 14029,
+    "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": 15589.43,
+    "sql_execution_elapsed_ms_total": 127.59,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_70c6ebd1768f6430/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_70c6ebd1768f6430/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_70c6ebd1768f6430/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..295a3d8cbbd16852ea79f3f55f4d126fa7938da4
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_70c6ebd1768f6430/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:43:40.741508+00:00",
+  "ended_at": "2026-05-19T15:43:56.330967+00:00",
+  "elapsed_ms": 15589.43,
+  "prompt_metrics": {
+    "chars": 5103,
+    "bytes_utf8": 5103,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1339,
+    "bytes_utf8": 1339,
+    "lines": 5,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 635,
+      "bytes_utf8": 635,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13594,
+      "cached_input_tokens": 12032,
+      "output_tokens": 435,
+      "reasoning_output_tokens": 261
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_70c6ebd1768f6430/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_70c6ebd1768f6430/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b5c3c2d6312e5cc43d7ce10e2c7da5cfc44abde1
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_70c6ebd1768f6430/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "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;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=feature_2, measure_col=feature_3.",
+  "planned_template_id": "tpl_tpch_relative_total_threshold",
+  "bindings": {
+    "group_col": "feature_2",
+    "measure_col": "feature_3",
+    "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": 186.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, 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;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_70c6ebd1768f6430/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_70c6ebd1768f6430/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2849ed69c88007cd944c08bfbabdc6bb8cf42bd7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_70c6ebd1768f6430/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,5 @@
+{"type":"thread.started","thread_id":"019e40e8-37d3-7290-99c1-c7d0ff0ea5d3"}
+{"type":"turn.started"}
+{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 14229. Please try again in 426ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT \\\"feature_2\\\", SUM(CAST(\\\"feature_3\\\" AS REAL)) AS group_value\\n    FROM \\\"n12\\\"\\n    GROUP BY \\\"feature_2\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT g.\\\"feature_2\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the provided Relative-to-Total Extreme Threshold template with group_col=\\\"feature_2\\\" and measure_col=\\\"feature_3\\\". Cast \\\"feature_3\\\" from TEXT to REAL for SQLite-safe aggregation.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13594,"cached_input_tokens":12032,"output_tokens":435,"reasoning_output_tokens":261}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_70c6ebd1768f6430/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_70c6ebd1768f6430/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..57c6fc987a0a8ffbda2b413d2511d7709bd4a4e8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_70c6ebd1768f6430/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n    SELECT \"feature_2\", SUM(CAST(\"feature_3\" AS REAL)) AS group_value\n    FROM \"n12\"\n    GROUP BY \"feature_2\"\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.\"feature_2\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Applied the provided Relative-to-Total Extreme Threshold template with group_col=\"feature_2\" and measure_col=\"feature_3\". Cast \"feature_3\" from TEXT to REAL for SQLite-safe aggregation."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_70c6ebd1768f6430/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_70c6ebd1768f6430/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_75b8b2e64e1c121e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_75b8b2e64e1c121e/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..c26dd10096a7df5c76508c76e155012755a1e2ee
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_75b8b2e64e1c121e/cli/conversation.jsonl
@@ -0,0 +1,4 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4629, "bytes_utf8": 4629, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "}
+{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 4629, "bytes_utf8": 4629, "lines": 144, "estimated_tokens": null}}
+{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 424, "bytes_utf8": 424, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13463, "cached_input_tokens": 12672, "output_tokens": 377, "reasoning_output_tokens": 267}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_75b8b2e64e1c121e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_75b8b2e64e1c121e/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..9068554a8906cfe1efed5db916c9646497dd61b6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_75b8b2e64e1c121e/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 2,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_75b8b2e64e1c121e",
+    "api_calls": 0,
+    "input_tokens": 13463,
+    "cached_input_tokens": 12672,
+    "output_tokens": 377,
+    "total_tokens": 13840,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 2,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 13168.34,
+    "sql_execution_elapsed_ms_total": 376.57,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_75b8b2e64e1c121e/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_75b8b2e64e1c121e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_75b8b2e64e1c121e/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..5eceed7b598ff3b542d2f19dfbb9655d693eb293
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_75b8b2e64e1c121e/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:59:49.508575+00:00",
+  "ended_at": "2026-05-19T15:59:53.418587+00:00",
+  "elapsed_ms": 3909.98,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4629,
+    "bytes_utf8": 4629,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_75b8b2e64e1c121e/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_75b8b2e64e1c121e/cli/sql_attempt_2.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..4b2ab7953119a73cd6ef913b41072ddb81dfcf73
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_75b8b2e64e1c121e/cli/sql_attempt_2.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:59:54.420352+00:00",
+  "ended_at": "2026-05-19T16:00:03.678738+00:00",
+  "elapsed_ms": 9258.36,
+  "prompt_metrics": {
+    "chars": 4629,
+    "bytes_utf8": 4629,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 790,
+    "bytes_utf8": 790,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 424,
+      "bytes_utf8": 424,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13463,
+      "cached_input_tokens": 12672,
+      "output_tokens": 377,
+      "reasoning_output_tokens": 267
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_75b8b2e64e1c121e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_75b8b2e64e1c121e/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..ba754e79249af7cd5dddaa94545956ee4baa9945
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_75b8b2e64e1c121e/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=target, measure_col=feature_1.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "target",
+    "measure_col": "feature_1",
+    "top_k": 15,
+    "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": 100.24,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_75b8b2e64e1c121e/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_75b8b2e64e1c121e/cli/sql_prompt_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..ba754e79249af7cd5dddaa94545956ee4baa9945
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_75b8b2e64e1c121e/cli/sql_prompt_attempt_2.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=target, measure_col=feature_1.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "target",
+    "measure_col": "feature_1",
+    "top_k": 15,
+    "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": 100.24,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_75b8b2e64e1c121e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_75b8b2e64e1c121e/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..76a25a35e22ee193a4b4a49465565d0f0d28bc5d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_75b8b2e64e1c121e/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f7-001e-7602-ac4d-435d98b26b76"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_75b8b2e64e1c121e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_75b8b2e64e1c121e/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0f5458c955c3d933bd0059442fda9fa4a1c5ab54
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_75b8b2e64e1c121e/cli/sql_response_attempt_1.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f7-001e-7602-ac4d-435d98b26b76"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_75b8b2e64e1c121e/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_75b8b2e64e1c121e/cli/sql_response_attempt_2.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..ae7add5ad1f9e65659d6d17aeda0f728efa96acd
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_75b8b2e64e1c121e/cli/sql_response_attempt_2.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f7-133b-7973-8c03-b67602cca8e8"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"target\\\",\\n       AVG(CAST(\\\"feature_1\\\" AS REAL)) OVER (PARTITION BY \\\"target\\\") AS \\\"avg_measure\\\"\\nFROM \\\"n12\\\"\\nORDER BY \\\"avg_measure\\\" DESC;\",\"notes\":\"Used the requested Window Partition Average template with group_col=\\\"target\\\" and measure_col=\\\"feature_1\\\". Cast \\\"feature_1\\\" to REAL because the schema stores numeric-looking values as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13463,"cached_input_tokens":12672,"output_tokens":377,"reasoning_output_tokens":267}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_75b8b2e64e1c121e/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_75b8b2e64e1c121e/cli/sql_response_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0ed631b1f5fbc046fa9742aa74df0f0c2482468c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_75b8b2e64e1c121e/cli/sql_response_attempt_2.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"target\",\n       AVG(CAST(\"feature_1\" AS REAL)) OVER (PARTITION BY \"target\") AS \"avg_measure\"\nFROM \"n12\"\nORDER BY \"avg_measure\" DESC;","notes":"Used the requested Window Partition Average template with group_col=\"target\" and measure_col=\"feature_1\". Cast \"feature_1\" to REAL because the schema stores numeric-looking values as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_75b8b2e64e1c121e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_75b8b2e64e1c121e/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_75b8b2e64e1c121e/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_75b8b2e64e1c121e/cli/sql_stderr_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7a33dae2f8477419/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7a33dae2f8477419/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..025de994863a9eba47d919f7a371a14fa6f2e74c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7a33dae2f8477419/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4855, "bytes_utf8": 4855, "lines": 148, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 503, "bytes_utf8": 503, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13548, "cached_input_tokens": 12032, "output_tokens": 607, "reasoning_output_tokens": 460}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7a33dae2f8477419/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7a33dae2f8477419/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..bdc2eae4678e8cde2b6f72c856f6ba92e544f2c5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7a33dae2f8477419/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_7a33dae2f8477419",
+    "api_calls": 0,
+    "input_tokens": 13548,
+    "cached_input_tokens": 12032,
+    "output_tokens": 607,
+    "total_tokens": 14155,
+    "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": 12796.19,
+    "sql_execution_elapsed_ms_total": 94.28,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7a33dae2f8477419/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7a33dae2f8477419/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7a33dae2f8477419/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..45804aa762e42ac714e252456e676807b35535bd
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7a33dae2f8477419/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:39:08.729526+00:00",
+  "ended_at": "2026-05-19T15:39:21.525751+00:00",
+  "elapsed_ms": 12796.19,
+  "prompt_metrics": {
+    "chars": 4855,
+    "bytes_utf8": 4855,
+    "lines": 148,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 882,
+    "bytes_utf8": 882,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 503,
+      "bytes_utf8": 503,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13548,
+      "cached_input_tokens": 12032,
+      "output_tokens": 607,
+      "reasoning_output_tokens": 460
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7a33dae2f8477419/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7a33dae2f8477419/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..db0a124e532034e11b01f7f9611f7b7d2c293fd1
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7a33dae2f8477419/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,148 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_c2_filtered_group_count_2d",
+    "template_name": "Filtered Two-Dimensional Group Count",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;",
+    "required_roles": [
+      "group_col",
+      "group_col_2",
+      "predicate_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=feature_2, group_col_2=target.",
+  "planned_template_id": "tpl_c2_filtered_group_count_2d",
+  "bindings": {
+    "group_col": "feature_2",
+    "group_col_2": "target",
+    "predicate_col": "feature_1",
+    "predicate_op": ">=",
+    "predicate_value": 115.0,
+    "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": 116.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7a33dae2f8477419/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7a33dae2f8477419/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c53a92358b5d2d4a215860964f95acce8059bcf5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7a33dae2f8477419/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e4-116b-7a63-b329-58d76db105ef"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"feature_2\\\", \\\"target\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n12\\\"\\nWHERE CAST(\\\"feature_1\\\" AS REAL) >= 115.0\\nGROUP BY \\\"feature_2\\\", \\\"target\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Used the provided filtered two-dimensional group count template with \\\"feature_2\\\" as group_col, \\\"target\\\" as group_col_2, and a filter on \\\"feature_1\\\" >= 115.0. \\\"feature_1\\\" is cast to REAL because the schema stores numeric-looking fields as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13548,"cached_input_tokens":12032,"output_tokens":607,"reasoning_output_tokens":460}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7a33dae2f8477419/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7a33dae2f8477419/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..33c6f08f6445952068b25b2d3b5a95d16a635862
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7a33dae2f8477419/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"feature_2\", \"target\", COUNT(*) AS \"row_count\"\nFROM \"n12\"\nWHERE CAST(\"feature_1\" AS REAL) >= 115.0\nGROUP BY \"feature_2\", \"target\"\nORDER BY \"row_count\" DESC;","notes":"Used the provided filtered two-dimensional group count template with \"feature_2\" as group_col, \"target\" as group_col_2, and a filter on \"feature_1\" >= 115.0. \"feature_1\" is cast to REAL because the schema stores numeric-looking fields as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7a33dae2f8477419/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7a33dae2f8477419/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7c9fd3af2a5d4d0a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7c9fd3af2a5d4d0a/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..bbd4ef86eb4e9b0042ebcca63eb084d7e3e65314
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7c9fd3af2a5d4d0a/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4957, "bytes_utf8": 4957, "lines": 146, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 611, "bytes_utf8": 611, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13575, "cached_input_tokens": 12032, "output_tokens": 693, "reasoning_output_tokens": 516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7c9fd3af2a5d4d0a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7c9fd3af2a5d4d0a/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..c05520a7b629da17dbc7efe99d3659533589cd6a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7c9fd3af2a5d4d0a/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_7c9fd3af2a5d4d0a",
+    "api_calls": 0,
+    "input_tokens": 13575,
+    "cached_input_tokens": 12032,
+    "output_tokens": 693,
+    "total_tokens": 14268,
+    "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": 18873.24,
+    "sql_execution_elapsed_ms_total": 277.68,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7c9fd3af2a5d4d0a/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7c9fd3af2a5d4d0a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7c9fd3af2a5d4d0a/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..2ce9a969f933a50ab9bd89d899ab9765fde0b82e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7c9fd3af2a5d4d0a/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:32:52.597717+00:00",
+  "ended_at": "2026-05-19T15:33:11.470987+00:00",
+  "elapsed_ms": 18873.24,
+  "prompt_metrics": {
+    "chars": 4957,
+    "bytes_utf8": 4957,
+    "lines": 146,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1324,
+    "bytes_utf8": 1324,
+    "lines": 5,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 611,
+      "bytes_utf8": 611,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13575,
+      "cached_input_tokens": 12032,
+      "output_tokens": 693,
+      "reasoning_output_tokens": 516
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7c9fd3af2a5d4d0a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7c9fd3af2a5d4d0a/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..dd3feffb19a961e7385d12e409b7b3c221fc8d1a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7c9fd3af2a5d4d0a/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,146 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "required_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_1, measure_col=feature_1.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "feature_1",
+    "measure_col": "feature_1",
+    "item_col": "feature_2",
+    "top_k": 19,
+    "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": 100.24,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7c9fd3af2a5d4d0a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7c9fd3af2a5d4d0a/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..729aa85c5df3cb7f263ac9130fa8e4106dbccefa
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7c9fd3af2a5d4d0a/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,5 @@
+{"type":"thread.started","thread_id":"019e40de-53fa-73a3-9ac5-eb628bfc16b5"}
+{"type":"turn.started"}
+{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1990871, Requested 14210. Please try again in 152ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"feature_1\\\", \\\"feature_2\\\",\\n       SUM(CAST(\\\"feature_1\\\" AS REAL)) AS total_measure,\\n       SUM(CAST(\\\"feature_1\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_1\\\" AS REAL))) OVER (PARTITION BY \\\"feature_1\\\") AS share_within_group\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_1\\\", \\\"feature_2\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=\\\"feature_1\\\", item_col=\\\"feature_2\\\", and measure_col=\\\"feature_1\\\". Casted the TEXT measure column to REAL for numeric aggregation in SQLite.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13575,"cached_input_tokens":12032,"output_tokens":693,"reasoning_output_tokens":516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7c9fd3af2a5d4d0a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7c9fd3af2a5d4d0a/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..402fd65b2ab26f8e1c1f7e7adc9072c41d83a572
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7c9fd3af2a5d4d0a/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"feature_1\", \"feature_2\",\n       SUM(CAST(\"feature_1\" AS REAL)) AS total_measure,\n       SUM(CAST(\"feature_1\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_1\" AS REAL))) OVER (PARTITION BY \"feature_1\") AS share_within_group\nFROM \"n12\"\nGROUP BY \"feature_1\", \"feature_2\"\nORDER BY share_within_group DESC;","notes":"Applied the provided Within-Group Share of Total template with group_col=\"feature_1\", item_col=\"feature_2\", and measure_col=\"feature_1\". Casted the TEXT measure column to REAL for numeric aggregation in SQLite."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7c9fd3af2a5d4d0a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7c9fd3af2a5d4d0a/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7d80d34aad3a8dc1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7d80d34aad3a8dc1/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..3a7634cacd0e88b5b21a9f93fe190c6f4ef6e981
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7d80d34aad3a8dc1/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5348, "bytes_utf8": 5348, "lines": 147, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 600, "bytes_utf8": 600, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13661, "cached_input_tokens": 12672, "output_tokens": 530, "reasoning_output_tokens": 351}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7d80d34aad3a8dc1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7d80d34aad3a8dc1/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..93cfa72ca9cab2d8c66836135897290c0043b41e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7d80d34aad3a8dc1/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_7d80d34aad3a8dc1",
+    "api_calls": 0,
+    "input_tokens": 13661,
+    "cached_input_tokens": 12672,
+    "output_tokens": 530,
+    "total_tokens": 14191,
+    "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": 10445.6,
+    "sql_execution_elapsed_ms_total": 132.94,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7d80d34aad3a8dc1/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7d80d34aad3a8dc1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7d80d34aad3a8dc1/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..05bc45a1c135013390850295f6a85b247633fbe7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7d80d34aad3a8dc1/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:36:59.387459+00:00",
+  "ended_at": "2026-05-19T15:37:09.833082+00:00",
+  "elapsed_ms": 10445.6,
+  "prompt_metrics": {
+    "chars": 5348,
+    "bytes_utf8": 5348,
+    "lines": 147,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 973,
+    "bytes_utf8": 973,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 600,
+      "bytes_utf8": 600,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13661,
+      "cached_input_tokens": 12672,
+      "output_tokens": 530,
+      "reasoning_output_tokens": 351
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7d80d34aad3a8dc1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7d80d34aad3a8dc1/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..7f7c0d1b60e6ea3d26223162a1448c472cd11d8f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7d80d34aad3a8dc1/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,147 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_ratio_two_conditions",
+    "template_name": "Grouped Ratio of Two Conditions",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=feature_1, condition_col=target.",
+  "planned_template_id": "tpl_m4_group_ratio_two_conditions",
+  "bindings": {
+    "group_col": "feature_1",
+    "condition_col": "target",
+    "condition_value": "1",
+    "positive_value": "1",
+    "negative_value": "2",
+    "top_k": 11,
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7d80d34aad3a8dc1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7d80d34aad3a8dc1/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e178cfb339f1ea19c7fd9050f08b152460aa918e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7d80d34aad3a8dc1/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e2-1814-7042-9db9-a02eca5182f5"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n    SELECT \\\"feature_1\\\",\\n           SUM(CASE WHEN \\\"target\\\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\\n           SUM(CASE WHEN \\\"target\\\" = '2' THEN 1 ELSE 0 END) AS denominator_count\\n    FROM \\\"n12\\\"\\n    GROUP BY \\\"feature_1\\\"\\n)\\nSELECT \\\"feature_1\\\",\\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Computes, for each \\\"feature_1\\\" group, the ratio of rows where \\\"target\\\" = '1' to rows where \\\"target\\\" = '2'.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13661,"cached_input_tokens":12672,"output_tokens":530,"reasoning_output_tokens":351}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7d80d34aad3a8dc1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7d80d34aad3a8dc1/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e0b81826fd6c74dc49c5f5d2f9a3c6ba86a805e0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7d80d34aad3a8dc1/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n    SELECT \"feature_1\",\n           SUM(CASE WHEN \"target\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN \"target\" = '2' THEN 1 ELSE 0 END) AS denominator_count\n    FROM \"n12\"\n    GROUP BY \"feature_1\"\n)\nSELECT \"feature_1\",\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Computes, for each \"feature_1\" group, the ratio of rows where \"target\" = '1' to rows where \"target\" = '2'."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7d80d34aad3a8dc1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7d80d34aad3a8dc1/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7ede77f4ae0172f5/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7ede77f4ae0172f5/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..b7d3984524277cbea67344ddce620b39d65cec6c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7ede77f4ae0172f5/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4537, "bytes_utf8": 4537, "lines": 142, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 369, "bytes_utf8": 369, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13464, "cached_input_tokens": 12672, "output_tokens": 239, "reasoning_output_tokens": 134}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7ede77f4ae0172f5/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7ede77f4ae0172f5/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..a494c471ab68e734ec152be8fd57ed66172cf49a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7ede77f4ae0172f5/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_7ede77f4ae0172f5",
+    "api_calls": 0,
+    "input_tokens": 13464,
+    "cached_input_tokens": 12672,
+    "output_tokens": 239,
+    "total_tokens": 13703,
+    "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": 7985.24,
+    "sql_execution_elapsed_ms_total": 92.96,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7ede77f4ae0172f5/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7ede77f4ae0172f5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7ede77f4ae0172f5/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..c67757947022ccdb0a5229f865e8397327a18c39
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7ede77f4ae0172f5/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:56:54.168706+00:00",
+  "ended_at": "2026-05-19T15:57:02.153980+00:00",
+  "elapsed_ms": 7985.24,
+  "prompt_metrics": {
+    "chars": 4537,
+    "bytes_utf8": 4537,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 726,
+    "bytes_utf8": 726,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 369,
+      "bytes_utf8": 369,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13464,
+      "cached_input_tokens": 12672,
+      "output_tokens": 239,
+      "reasoning_output_tokens": 134
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7ede77f4ae0172f5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7ede77f4ae0172f5/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..40035978d175e521459f01e2a012e71c13b7be13
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7ede77f4ae0172f5/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=feature_2.",
+  "planned_template_id": "tpl_tail_low_support_group_count_v2",
+  "bindings": {
+    "group_col": "feature_2",
+    "top_k": 16,
+    "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": 116.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7ede77f4ae0172f5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7ede77f4ae0172f5/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..37ad656767afd5b4a748e9e03c08ba1c3eee4497
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7ede77f4ae0172f5/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f4-5344-7531-91ba-61326cd67660"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n    \\\"feature_2\\\",\\n    COUNT(*) AS support\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_2\\\"\\nORDER BY support ASC, \\\"feature_2\\\"\\nLIMIT 16;\",\"notes\":\"Applies the Low-Support Group Count template to \\\"feature_2\\\", returning the 16 least-supported groups ordered by ascending support and then by \\\"feature_2\\\".\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13464,"cached_input_tokens":12672,"output_tokens":239,"reasoning_output_tokens":134}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7ede77f4ae0172f5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7ede77f4ae0172f5/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..38f8a71c397b145c68c0ffc78d496590ef9c2f93
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7ede77f4ae0172f5/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n    \"feature_2\",\n    COUNT(*) AS support\nFROM \"n12\"\nGROUP BY \"feature_2\"\nORDER BY support ASC, \"feature_2\"\nLIMIT 16;","notes":"Applies the Low-Support Group Count template to \"feature_2\", returning the 16 least-supported groups ordered by ascending support and then by \"feature_2\"."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7ede77f4ae0172f5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_7ede77f4ae0172f5/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_836f05a92fe94738/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_836f05a92fe94738/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..b2796ecf0d362c223f3b6c17db68d01ae92e4dff
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_836f05a92fe94738/cli/conversation.jsonl
@@ -0,0 +1,4 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4634, "bytes_utf8": 4634, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "}
+{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 4634, "bytes_utf8": 4634, "lines": 144, "estimated_tokens": null}}
+{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 424, "bytes_utf8": 424, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13468, "cached_input_tokens": 12032, "output_tokens": 332, "reasoning_output_tokens": 222}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_836f05a92fe94738/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_836f05a92fe94738/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..ec9a6c90f3a191899550f387a1dc235ec504d880
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_836f05a92fe94738/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 2,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_836f05a92fe94738",
+    "api_calls": 0,
+    "input_tokens": 13468,
+    "cached_input_tokens": 12032,
+    "output_tokens": 332,
+    "total_tokens": 13800,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 2,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 12782.32,
+    "sql_execution_elapsed_ms_total": 420.12,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_836f05a92fe94738/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_836f05a92fe94738/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_836f05a92fe94738/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..f64906d590685c7cd7d46048630fbe41c995256a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_836f05a92fe94738/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:00:04.062558+00:00",
+  "ended_at": "2026-05-19T16:00:07.746825+00:00",
+  "elapsed_ms": 3684.24,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4634,
+    "bytes_utf8": 4634,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_836f05a92fe94738/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_836f05a92fe94738/cli/sql_attempt_2.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..c9cc1c39b62ff70c1b4456f8ec2b38fefc9d1929
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_836f05a92fe94738/cli/sql_attempt_2.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:00:08.748326+00:00",
+  "ended_at": "2026-05-19T16:00:17.846444+00:00",
+  "elapsed_ms": 9098.08,
+  "prompt_metrics": {
+    "chars": 4634,
+    "bytes_utf8": 4634,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 779,
+    "bytes_utf8": 779,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 424,
+      "bytes_utf8": 424,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13468,
+      "cached_input_tokens": 12032,
+      "output_tokens": 332,
+      "reasoning_output_tokens": 222
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_836f05a92fe94738/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_836f05a92fe94738/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..be41f4b1c3b2ffd25e0b2c38c3f6f71f8abd050e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_836f05a92fe94738/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=feature_1, measure_col=feature_2.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "feature_1",
+    "measure_col": "feature_2",
+    "top_k": 11,
+    "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": 116.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_836f05a92fe94738/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_836f05a92fe94738/cli/sql_prompt_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..be41f4b1c3b2ffd25e0b2c38c3f6f71f8abd050e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_836f05a92fe94738/cli/sql_prompt_attempt_2.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=feature_1, measure_col=feature_2.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "feature_1",
+    "measure_col": "feature_2",
+    "top_k": 11,
+    "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": 116.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_836f05a92fe94738/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_836f05a92fe94738/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8b948abab4f42c159f58f4138a4a5b0887434e0c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_836f05a92fe94738/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f7-38d1-7cb1-a535-07528bc32521"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_836f05a92fe94738/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_836f05a92fe94738/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c961c035f8b14f412c47c8341e027ca63329403a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_836f05a92fe94738/cli/sql_response_attempt_1.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f7-38d1-7cb1-a535-07528bc32521"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_836f05a92fe94738/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_836f05a92fe94738/cli/sql_response_attempt_2.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..7c039df49d907f5d24d0849d1709ca94e3884742
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_836f05a92fe94738/cli/sql_response_attempt_2.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f7-4b36-73a3-a40c-fb3c31b3333c"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n  \\\"feature_1\\\",\\n  AVG(CAST(\\\"feature_2\\\" AS REAL)) OVER (PARTITION BY \\\"feature_1\\\") AS avg_measure\\nFROM \\\"n12\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the requested Window Partition Average template with group_col=\\\"feature_1\\\" and measure_col=\\\"feature_2\\\". CAST to REAL ensures numeric averaging because the schema stores features as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13468,"cached_input_tokens":12032,"output_tokens":332,"reasoning_output_tokens":222}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_836f05a92fe94738/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_836f05a92fe94738/cli/sql_response_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..17f0f4c69bdcbe3d04605b3659dff1cafa588055
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_836f05a92fe94738/cli/sql_response_attempt_2.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT\n  \"feature_1\",\n  AVG(CAST(\"feature_2\" AS REAL)) OVER (PARTITION BY \"feature_1\") AS avg_measure\nFROM \"n12\"\nORDER BY avg_measure DESC;","notes":"Applied the requested Window Partition Average template with group_col=\"feature_1\" and measure_col=\"feature_2\". CAST to REAL ensures numeric averaging because the schema stores features as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_836f05a92fe94738/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_836f05a92fe94738/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_836f05a92fe94738/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_836f05a92fe94738/cli/sql_stderr_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_85291a7eea16eca7/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_85291a7eea16eca7/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..d06a464a3ba9beb2ad51500dbb0ca916e88d403c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_85291a7eea16eca7/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5106, "bytes_utf8": 5106, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 612, "bytes_utf8": 612, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13594, "cached_input_tokens": 12672, "output_tokens": 429, "reasoning_output_tokens": 261}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_85291a7eea16eca7/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_85291a7eea16eca7/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..dfa51007304990638601ff1f6e74fda91ee4ceb8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_85291a7eea16eca7/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_85291a7eea16eca7",
+    "api_calls": 0,
+    "input_tokens": 13594,
+    "cached_input_tokens": 12672,
+    "output_tokens": 429,
+    "total_tokens": 14023,
+    "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": 14546.65,
+    "sql_execution_elapsed_ms_total": 121.44,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_85291a7eea16eca7/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_85291a7eea16eca7/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_85291a7eea16eca7/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..bc2031d95ed40ef067c9b45df88c2fe1ff648c37
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_85291a7eea16eca7/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:44:21.240507+00:00",
+  "ended_at": "2026-05-19T15:44:35.787179+00:00",
+  "elapsed_ms": 14546.65,
+  "prompt_metrics": {
+    "chars": 5106,
+    "bytes_utf8": 5106,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1312,
+    "bytes_utf8": 1312,
+    "lines": 5,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 612,
+      "bytes_utf8": 612,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13594,
+      "cached_input_tokens": 12672,
+      "output_tokens": 429,
+      "reasoning_output_tokens": 261
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_85291a7eea16eca7/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_85291a7eea16eca7/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..465db0d8d167e1c43a76ef03a7df8b488179dcb6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_85291a7eea16eca7/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "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;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=feature_3, measure_col=feature_1.",
+  "planned_template_id": "tpl_tpch_relative_total_threshold",
+  "bindings": {
+    "group_col": "feature_3",
+    "measure_col": "feature_1",
+    "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": 100.24,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, 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;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_85291a7eea16eca7/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_85291a7eea16eca7/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d7e02fd32c76e7f3c70ec421a5a02060bcb50580
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_85291a7eea16eca7/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,5 @@
+{"type":"thread.started","thread_id":"019e40e8-d5fe-7d32-9608-4ba33f39dd5a"}
+{"type":"turn.started"}
+{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 14229. Please try again in 426ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT \\\"feature_3\\\", SUM(CAST(\\\"feature_1\\\" AS REAL)) AS group_value\\n    FROM \\\"n12\\\"\\n    GROUP BY \\\"feature_3\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT g.\\\"feature_3\\\", 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\":\"Used the requested template with group_col=\\\"feature_3\\\" and measure_col=\\\"feature_1\\\". CAST was added because the schema stores numeric-like fields as TEXT in SQLite.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13594,"cached_input_tokens":12672,"output_tokens":429,"reasoning_output_tokens":261}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_85291a7eea16eca7/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_85291a7eea16eca7/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..fbf4988ea062500454414aaf8cd206b4ac962a68
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_85291a7eea16eca7/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n    SELECT \"feature_3\", SUM(CAST(\"feature_1\" AS REAL)) AS group_value\n    FROM \"n12\"\n    GROUP BY \"feature_3\"\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.\"feature_3\", 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":"Used the requested template with group_col=\"feature_3\" and measure_col=\"feature_1\". CAST was added because the schema stores numeric-like fields as TEXT in SQLite."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_85291a7eea16eca7/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_85291a7eea16eca7/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_86249e214fa0872d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_86249e214fa0872d/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..fe8afcf0ff97a8e1bc89dde1166da515a5476c9e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_86249e214fa0872d/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4855, "bytes_utf8": 4855, "lines": 148, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 457, "bytes_utf8": 457, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13548, "cached_input_tokens": 12032, "output_tokens": 469, "reasoning_output_tokens": 342}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_86249e214fa0872d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_86249e214fa0872d/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..47d70df04e409f5af974e4bb00148cb7afd89990
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_86249e214fa0872d/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_86249e214fa0872d",
+    "api_calls": 0,
+    "input_tokens": 13548,
+    "cached_input_tokens": 12032,
+    "output_tokens": 469,
+    "total_tokens": 14017,
+    "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": 10542.99,
+    "sql_execution_elapsed_ms_total": 48.37,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_86249e214fa0872d/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_86249e214fa0872d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_86249e214fa0872d/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..eff91d90ed9e123e514fa5a8cda1dbba288f6b3c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_86249e214fa0872d/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:38:49.485399+00:00",
+  "ended_at": "2026-05-19T15:39:00.028415+00:00",
+  "elapsed_ms": 10542.99,
+  "prompt_metrics": {
+    "chars": 4855,
+    "bytes_utf8": 4855,
+    "lines": 148,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 824,
+    "bytes_utf8": 824,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 457,
+      "bytes_utf8": 457,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13548,
+      "cached_input_tokens": 12032,
+      "output_tokens": 469,
+      "reasoning_output_tokens": 342
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_86249e214fa0872d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_86249e214fa0872d/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..f06e0076502696ee13200a61fd56732b414c27ff
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_86249e214fa0872d/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,148 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_c2_filtered_group_count_2d",
+    "template_name": "Filtered Two-Dimensional Group Count",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;",
+    "required_roles": [
+      "group_col",
+      "group_col_2",
+      "predicate_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=feature_1, group_col_2=target.",
+  "planned_template_id": "tpl_c2_filtered_group_count_2d",
+  "bindings": {
+    "group_col": "feature_1",
+    "group_col_2": "target",
+    "predicate_col": "feature_3",
+    "predicate_op": ">=",
+    "predicate_value": 186.0,
+    "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": 186.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_86249e214fa0872d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_86249e214fa0872d/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0c3fbd57a66230cff94a42101e714493d0287cec
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_86249e214fa0872d/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e3-c62a-7f22-9d51-450970900d87"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"feature_1\\\", \\\"target\\\", COUNT(*) AS row_count\\nFROM \\\"n12\\\"\\nWHERE CAST(\\\"feature_3\\\" AS REAL) >= 186.0\\nGROUP BY \\\"feature_1\\\", \\\"target\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the planned filtered two-dimensional group count template with group_col=\\\"feature_1\\\", group_col_2=\\\"target\\\", and predicate on \\\"feature_3\\\". CAST to REAL is used because the schema stores features as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13548,"cached_input_tokens":12032,"output_tokens":469,"reasoning_output_tokens":342}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_86249e214fa0872d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_86249e214fa0872d/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b9aa3de2be63e5354cc8bf41bec262b8bfaa3c4
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_86249e214fa0872d/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"feature_1\", \"target\", COUNT(*) AS row_count\nFROM \"n12\"\nWHERE CAST(\"feature_3\" AS REAL) >= 186.0\nGROUP BY \"feature_1\", \"target\"\nORDER BY row_count DESC;","notes":"Uses the planned filtered two-dimensional group count template with group_col=\"feature_1\", group_col_2=\"target\", and predicate on \"feature_3\". CAST to REAL is used because the schema stores features as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_86249e214fa0872d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_86249e214fa0872d/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_865dd62ea44e1699/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_865dd62ea44e1699/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..72d84f145c875b7362814823e4eb6242b40d390c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_865dd62ea44e1699/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5347, "bytes_utf8": 5347, "lines": 147, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 670, "bytes_utf8": 670, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13661, "cached_input_tokens": 12032, "output_tokens": 565, "reasoning_output_tokens": 380}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_865dd62ea44e1699/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_865dd62ea44e1699/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..a7451f54abb6cbfab9369f1035374d40ced007de
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_865dd62ea44e1699/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_865dd62ea44e1699",
+    "api_calls": 0,
+    "input_tokens": 13661,
+    "cached_input_tokens": 12032,
+    "output_tokens": 565,
+    "total_tokens": 14226,
+    "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": 11688.96,
+    "sql_execution_elapsed_ms_total": 133.33,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_865dd62ea44e1699/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_865dd62ea44e1699/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_865dd62ea44e1699/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..a3479de57a036980c91611d40851c885b5ce3b1e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_865dd62ea44e1699/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:37:55.708064+00:00",
+  "ended_at": "2026-05-19T15:38:07.397054+00:00",
+  "elapsed_ms": 11688.96,
+  "prompt_metrics": {
+    "chars": 5347,
+    "bytes_utf8": 5347,
+    "lines": 147,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1039,
+    "bytes_utf8": 1039,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 670,
+      "bytes_utf8": 670,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13661,
+      "cached_input_tokens": 12032,
+      "output_tokens": 565,
+      "reasoning_output_tokens": 380
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_865dd62ea44e1699/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_865dd62ea44e1699/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..db064aaa5c4fae29fb9eee430e7ffdbabe3d3ec3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_865dd62ea44e1699/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,147 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_ratio_two_conditions",
+    "template_name": "Grouped Ratio of Two Conditions",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=feature_2, condition_col=target.",
+  "planned_template_id": "tpl_m4_group_ratio_two_conditions",
+  "bindings": {
+    "group_col": "feature_2",
+    "condition_col": "target",
+    "condition_value": "1",
+    "positive_value": "1",
+    "negative_value": "2",
+    "top_k": 11,
+    "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": 186.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_865dd62ea44e1699/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_865dd62ea44e1699/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..ba5e340e2f02fb477c02255568a109827f389c9c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_865dd62ea44e1699/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e2-f3ef-76c0-89d2-90e6affe8f4a"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions.\\nWITH grouped AS (\\n    SELECT \\\"feature_2\\\",\\n           SUM(CASE WHEN \\\"target\\\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\\n           SUM(CASE WHEN \\\"target\\\" = '2' THEN 1 ELSE 0 END) AS denominator_count\\n    FROM \\\"n12\\\"\\n    GROUP BY \\\"feature_2\\\"\\n)\\nSELECT \\\"feature_2\\\",\\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Uses the planned grouped ratio template with group_col=\\\"feature_2\\\" and condition_col=\\\"target\\\", computing count(target='1') divided by count(target='2') for each feature_2 value.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13661,"cached_input_tokens":12032,"output_tokens":565,"reasoning_output_tokens":380}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_865dd62ea44e1699/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_865dd62ea44e1699/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..682f5c91590992b02c5fe6c72d3830bd44e1f13f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_865dd62ea44e1699/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions.\nWITH grouped AS (\n    SELECT \"feature_2\",\n           SUM(CASE WHEN \"target\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN \"target\" = '2' THEN 1 ELSE 0 END) AS denominator_count\n    FROM \"n12\"\n    GROUP BY \"feature_2\"\n)\nSELECT \"feature_2\",\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Uses the planned grouped ratio template with group_col=\"feature_2\" and condition_col=\"target\", computing count(target='1') divided by count(target='2') for each feature_2 value."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_865dd62ea44e1699/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_865dd62ea44e1699/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8747e91e230671a0/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8747e91e230671a0/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..7833c2217c209a645cc478860e4d72cfeb2f8910
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8747e91e230671a0/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4634, "bytes_utf8": 4634, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 516, "bytes_utf8": 516, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13468, "cached_input_tokens": 12032, "output_tokens": 530, "reasoning_output_tokens": 392}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8747e91e230671a0/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8747e91e230671a0/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..417b2e715b79d16d8e7fdec7ed1d68a5fd5518c5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8747e91e230671a0/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_8747e91e230671a0",
+    "api_calls": 0,
+    "input_tokens": 13468,
+    "cached_input_tokens": 12032,
+    "output_tokens": 530,
+    "total_tokens": 13998,
+    "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": 12770.95,
+    "sql_execution_elapsed_ms_total": 404.22,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8747e91e230671a0/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8747e91e230671a0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8747e91e230671a0/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..e91e1e85befd623494607390885e139666a87130
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8747e91e230671a0/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:00:55.505716+00:00",
+  "ended_at": "2026-05-19T16:01:08.276701+00:00",
+  "elapsed_ms": 12770.95,
+  "prompt_metrics": {
+    "chars": 4634,
+    "bytes_utf8": 4634,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 873,
+    "bytes_utf8": 873,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 516,
+      "bytes_utf8": 516,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13468,
+      "cached_input_tokens": 12032,
+      "output_tokens": 530,
+      "reasoning_output_tokens": 392
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8747e91e230671a0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8747e91e230671a0/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..de036a43e9d089216f89c6e08baea3cbc34491b3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8747e91e230671a0/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=feature_3, measure_col=feature_1.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "feature_3",
+    "measure_col": "feature_1",
+    "top_k": 13,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8747e91e230671a0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8747e91e230671a0/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..88275f2337d6e6cad8a408dbbe9bd17fae9fa898
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8747e91e230671a0/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f8-01d2-7f21-939c-7468376c7657"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n  \\\"feature_3\\\",\\n  AVG(CAST(\\\"feature_1\\\" AS REAL)) OVER (PARTITION BY \\\"feature_3\\\") AS avg_measure\\nFROM \\\"n12\\\"\\nWHERE \\\"feature_3\\\" IS NOT NULL\\n  AND \\\"feature_1\\\" IS NOT NULL\\nORDER BY avg_measure DESC;\",\"notes\":\"Uses the requested Window Partition Average template with group_col=feature_3 and measure_col=feature_1. CAST is applied because the schema stores feature columns as TEXT, and NULLs are filtered for a stable numeric average.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13468,"cached_input_tokens":12032,"output_tokens":530,"reasoning_output_tokens":392}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8747e91e230671a0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8747e91e230671a0/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4d315e3386080c26bd08b59d0e5135e948899898
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8747e91e230671a0/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT\n  \"feature_3\",\n  AVG(CAST(\"feature_1\" AS REAL)) OVER (PARTITION BY \"feature_3\") AS avg_measure\nFROM \"n12\"\nWHERE \"feature_3\" IS NOT NULL\n  AND \"feature_1\" IS NOT NULL\nORDER BY avg_measure DESC;","notes":"Uses the requested Window Partition Average template with group_col=feature_3 and measure_col=feature_1. CAST is applied because the schema stores feature columns as TEXT, and NULLs are filtered for a stable numeric average."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8747e91e230671a0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8747e91e230671a0/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8795854e7cd615ae/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8795854e7cd615ae/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..03dc2c84ef793c3863fe5c345893c2d0689ad595
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8795854e7cd615ae/cli/conversation.jsonl
@@ -0,0 +1,4 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4792, "bytes_utf8": 4792, "lines": 147, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "}
+{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 4792, "bytes_utf8": 4792, "lines": 147, "estimated_tokens": null}}
+{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 452, "bytes_utf8": 452, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13514, "cached_input_tokens": 12032, "output_tokens": 299, "reasoning_output_tokens": 180}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8795854e7cd615ae/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8795854e7cd615ae/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..5d5bee74d31dc0266a869873a57ef637cb80db0d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8795854e7cd615ae/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 2,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_8795854e7cd615ae",
+    "api_calls": 0,
+    "input_tokens": 13514,
+    "cached_input_tokens": 12032,
+    "output_tokens": 299,
+    "total_tokens": 13813,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 2,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 10858.58,
+    "sql_execution_elapsed_ms_total": 122.13,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8795854e7cd615ae/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8795854e7cd615ae/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8795854e7cd615ae/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..25ee26d6175453b9a100e536892144cdf0aa8aa2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8795854e7cd615ae/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:54:39.405158+00:00",
+  "ended_at": "2026-05-19T15:54:42.553066+00:00",
+  "elapsed_ms": 3147.88,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4792,
+    "bytes_utf8": 4792,
+    "lines": 147,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8795854e7cd615ae/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8795854e7cd615ae/cli/sql_attempt_2.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..a5928868f442edcfacd59c5a8fbb26feb48abd4f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8795854e7cd615ae/cli/sql_attempt_2.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:54:43.554797+00:00",
+  "ended_at": "2026-05-19T15:54:51.265535+00:00",
+  "elapsed_ms": 7710.7,
+  "prompt_metrics": {
+    "chars": 4792,
+    "bytes_utf8": 4792,
+    "lines": 147,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 807,
+    "bytes_utf8": 807,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 452,
+      "bytes_utf8": 452,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13514,
+      "cached_input_tokens": 12032,
+      "output_tokens": 299,
+      "reasoning_output_tokens": 180
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8795854e7cd615ae/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8795854e7cd615ae/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d3a8a490f9926ef4c41e49ed0fdfccc5239f543c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8795854e7cd615ae/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,147 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_3, condition_col=target.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "feature_3",
+    "condition_col": "target",
+    "condition_value": "1",
+    "positive_value": "1",
+    "negative_value": "2",
+    "top_k": 12,
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8795854e7cd615ae/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8795854e7cd615ae/cli/sql_prompt_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d3a8a490f9926ef4c41e49ed0fdfccc5239f543c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8795854e7cd615ae/cli/sql_prompt_attempt_2.txt
@@ -0,0 +1,147 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_3, condition_col=target.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "feature_3",
+    "condition_col": "target",
+    "condition_value": "1",
+    "positive_value": "1",
+    "negative_value": "2",
+    "top_k": 12,
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8795854e7cd615ae/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8795854e7cd615ae/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c43b2bb28e7a7ffd8a15907a19c4a4575ef2a99b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8795854e7cd615ae/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f2-44d0-7bf2-bda7-336be03e8256"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8795854e7cd615ae/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8795854e7cd615ae/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2ea9379ab80ae0a206cd6142db3bbc51dcbca106
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8795854e7cd615ae/cli/sql_response_attempt_1.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f2-44d0-7bf2-bda7-336be03e8256"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8795854e7cd615ae/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8795854e7cd615ae/cli/sql_response_attempt_2.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..54c619b35a689364a5624a1e334e1303f36d583d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8795854e7cd615ae/cli/sql_response_attempt_2.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f2-54dc-7960-9b25-c7d8c0abd198"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"feature_3\\\",\\n       AVG(CASE WHEN \\\"target\\\" = '1' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_3\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Instantiated the provided Grouped Condition Rate template with group_col=\\\"feature_3\\\", condition_col=\\\"target\\\", and condition_value='1'. Kept the query SQLite-compatible and limited to the single table/allowed columns.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13514,"cached_input_tokens":12032,"output_tokens":299,"reasoning_output_tokens":180}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8795854e7cd615ae/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8795854e7cd615ae/cli/sql_response_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..debcbcd887a9176ac3484347651a4d3bb1723208
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8795854e7cd615ae/cli/sql_response_attempt_2.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"feature_3\",\n       AVG(CASE WHEN \"target\" = '1' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n12\"\nGROUP BY \"feature_3\"\nORDER BY condition_rate DESC;","notes":"Instantiated the provided Grouped Condition Rate template with group_col=\"feature_3\", condition_col=\"target\", and condition_value='1'. Kept the query SQLite-compatible and limited to the single table/allowed columns."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8795854e7cd615ae/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8795854e7cd615ae/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8795854e7cd615ae/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8795854e7cd615ae/cli/sql_stderr_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_87d6bd700740303d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_87d6bd700740303d/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..672fb0bca776cbe4cc11abe05ab0602e49ad3769
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_87d6bd700740303d/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4535, "bytes_utf8": 4535, "lines": 142, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 344, "bytes_utf8": 344, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13465, "cached_input_tokens": 12672, "output_tokens": 408, "reasoning_output_tokens": 307}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_87d6bd700740303d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_87d6bd700740303d/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..c42153002d8807d649446abaa195f0069d0919f5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_87d6bd700740303d/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_87d6bd700740303d",
+    "api_calls": 0,
+    "input_tokens": 13465,
+    "cached_input_tokens": 12672,
+    "output_tokens": 408,
+    "total_tokens": 13873,
+    "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": 9603.61,
+    "sql_execution_elapsed_ms_total": 105.48,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_87d6bd700740303d/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_87d6bd700740303d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_87d6bd700740303d/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..c92527e7f596be0448d99534a00f41a37d00427e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_87d6bd700740303d/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:56:09.375953+00:00",
+  "ended_at": "2026-05-19T15:56:18.979593+00:00",
+  "elapsed_ms": 9603.61,
+  "prompt_metrics": {
+    "chars": 4535,
+    "bytes_utf8": 4535,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 705,
+    "bytes_utf8": 705,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 344,
+      "bytes_utf8": 344,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13465,
+      "cached_input_tokens": 12672,
+      "output_tokens": 408,
+      "reasoning_output_tokens": 307
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_87d6bd700740303d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_87d6bd700740303d/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..63722310e0231e1345d6ce8e328ef74efcccb732
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_87d6bd700740303d/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=feature_1.",
+  "planned_template_id": "tpl_tail_low_support_group_count_v2",
+  "bindings": {
+    "group_col": "feature_1",
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_87d6bd700740303d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_87d6bd700740303d/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..ffdcfc4e5fa8be83c6ca4ae1c051be62f47c7237
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_87d6bd700740303d/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f3-a42b-78f1-9498-29fb52fb291d"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n    \\\"feature_1\\\",\\n    COUNT(*) AS \\\"support\\\"\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_1\\\"\\nORDER BY \\\"support\\\" ASC, \\\"feature_1\\\"\\nLIMIT 10;\",\"notes\":\"Uses the Low-Support Group Count template with \\\"feature_1\\\" as the grouping column and returns the 10 lowest-support groups.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13465,"cached_input_tokens":12672,"output_tokens":408,"reasoning_output_tokens":307}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_87d6bd700740303d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_87d6bd700740303d/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2dc63e2fd0b77fb148e1fba2668e6d92d7bd19d4
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_87d6bd700740303d/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n    \"feature_1\",\n    COUNT(*) AS \"support\"\nFROM \"n12\"\nGROUP BY \"feature_1\"\nORDER BY \"support\" ASC, \"feature_1\"\nLIMIT 10;","notes":"Uses the Low-Support Group Count template with \"feature_1\" as the grouping column and returns the 10 lowest-support groups."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_87d6bd700740303d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_87d6bd700740303d/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_88e9891f1dde7e43/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_88e9891f1dde7e43/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..e114d940fda4db462b00af0147f8363fd8bd6228
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_88e9891f1dde7e43/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4551, "bytes_utf8": 4551, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 378, "bytes_utf8": 378, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13456, "cached_input_tokens": 12288, "output_tokens": 349, "reasoning_output_tokens": 243}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_88e9891f1dde7e43/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_88e9891f1dde7e43/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..3496a6472e83e0dc163e16e70d862c0c118e31e2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_88e9891f1dde7e43/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_88e9891f1dde7e43",
+    "api_calls": 0,
+    "input_tokens": 13456,
+    "cached_input_tokens": 12288,
+    "output_tokens": 349,
+    "total_tokens": 13805,
+    "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": 9823.21,
+    "sql_execution_elapsed_ms_total": 112.62,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_88e9891f1dde7e43/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_88e9891f1dde7e43/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_88e9891f1dde7e43/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..fa39a5d4ad0477d2e82c810ff461c6c1d929d91f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_88e9891f1dde7e43/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:28:46.983527+00:00",
+  "ended_at": "2026-05-19T15:28:56.806772+00:00",
+  "elapsed_ms": 9823.21,
+  "prompt_metrics": {
+    "chars": 4551,
+    "bytes_utf8": 4551,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 732,
+    "bytes_utf8": 732,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 378,
+      "bytes_utf8": 378,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13456,
+      "cached_input_tokens": 12288,
+      "output_tokens": 349,
+      "reasoning_output_tokens": 243
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_88e9891f1dde7e43/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_88e9891f1dde7e43/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4b99bad3bc6d4ce563a817527b5ee8ea429edd9f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_88e9891f1dde7e43/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_2, measure_col=feature_2.",
+  "planned_template_id": "tpl_h2o_group_sum",
+  "bindings": {
+    "group_col": "feature_2",
+    "measure_col": "feature_2",
+    "top_k": 16,
+    "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": 104.84,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_88e9891f1dde7e43/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_88e9891f1dde7e43/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6ddad0cf57bc6744b13900e2c23e291c4d5b3361
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_88e9891f1dde7e43/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40da-9482-72e3-bcfa-ecbf0ae263eb"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_2\\\", SUM(CAST(\\\"feature_2\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_2\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the provided Grouped Numeric Sum template with group_col=\\\"feature_2\\\" and measure_col=\\\"feature_2\\\". Added CAST to NUMERIC because the SQLite schema stores the field as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13456,"cached_input_tokens":12288,"output_tokens":349,"reasoning_output_tokens":243}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_88e9891f1dde7e43/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_88e9891f1dde7e43/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..be1ff37a3e8f409fdf56878fe2de6873fd6d017b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_88e9891f1dde7e43/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"feature_2\", SUM(CAST(\"feature_2\" AS NUMERIC)) AS total_measure\nFROM \"n12\"\nGROUP BY \"feature_2\"\nORDER BY total_measure DESC;","notes":"Used the provided Grouped Numeric Sum template with group_col=\"feature_2\" and measure_col=\"feature_2\". Added CAST to NUMERIC because the SQLite schema stores the field as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_88e9891f1dde7e43/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_88e9891f1dde7e43/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d6b204eeb685cb2/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d6b204eeb685cb2/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..9fcc73e64a7fb60226e7ef73cedb4a8fd4df612f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d6b204eeb685cb2/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4728, "bytes_utf8": 4728, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 595, "bytes_utf8": 595, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13494, "cached_input_tokens": 12032, "output_tokens": 672, "reasoning_output_tokens": 516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d6b204eeb685cb2/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d6b204eeb685cb2/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..4a6eb8b25984872de83a761fc5df03be968752b9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d6b204eeb685cb2/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_8d6b204eeb685cb2",
+    "api_calls": 0,
+    "input_tokens": 13494,
+    "cached_input_tokens": 12032,
+    "output_tokens": 672,
+    "total_tokens": 14166,
+    "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": 14603.87,
+    "sql_execution_elapsed_ms_total": 119.22,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d6b204eeb685cb2/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d6b204eeb685cb2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d6b204eeb685cb2/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..eabf57df0cc328bb3146fe6cb634c65690416b92
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d6b204eeb685cb2/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:47:06.060014+00:00",
+  "ended_at": "2026-05-19T15:47:20.663929+00:00",
+  "elapsed_ms": 14603.87,
+  "prompt_metrics": {
+    "chars": 4728,
+    "bytes_utf8": 4728,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 960,
+    "bytes_utf8": 960,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 595,
+      "bytes_utf8": 595,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13494,
+      "cached_input_tokens": 12032,
+      "output_tokens": 672,
+      "reasoning_output_tokens": 516
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d6b204eeb685cb2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d6b204eeb685cb2/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..06531fb036aa4051c60c4a73577e9a9372bd63eb
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d6b204eeb685cb2/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=feature_3, measure_col=feature_3.",
+  "planned_template_id": "tpl_grouped_percentile_point",
+  "bindings": {
+    "group_col": "feature_3",
+    "measure_col": "feature_3",
+    "top_k": 16,
+    "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": 163.32,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d6b204eeb685cb2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d6b204eeb685cb2/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2b173461c1e5e3f754c24c9e927d300b7e696efc
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d6b204eeb685cb2/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40eb-5a33-7bb1-894b-f49757ee47e5"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nSELECT\\n  \\\"feature_3\\\",\\n  MAX(CAST(\\\"feature_3\\\" AS REAL)) AS percentile_measure\\nFROM \\\"n12\\\"\\nWHERE \\\"feature_3\\\" IS NOT NULL\\nGROUP BY \\\"feature_3\\\"\\nORDER BY percentile_measure DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT. Because both group_col and measure_col are \\\"feature_3\\\", every row within a group has the same measure value, so the 0.9 percentile for each group is exactly that group's numeric \\\"feature_3\\\" value. Using MAX(CAST(\\\"feature_3\\\" AS REAL)) preserves the intended grouped-percentile result in SQLite.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13494,"cached_input_tokens":12032,"output_tokens":672,"reasoning_output_tokens":516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d6b204eeb685cb2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d6b204eeb685cb2/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0839dbdb5a685ca1bea23e0036b3492be7e50925
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d6b204eeb685cb2/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_grouped_percentile_point\nSELECT\n  \"feature_3\",\n  MAX(CAST(\"feature_3\" AS REAL)) AS percentile_measure\nFROM \"n12\"\nWHERE \"feature_3\" IS NOT NULL\nGROUP BY \"feature_3\"\nORDER BY percentile_measure DESC;","notes":"SQLite does not support PERCENTILE_CONT. Because both group_col and measure_col are \"feature_3\", every row within a group has the same measure value, so the 0.9 percentile for each group is exactly that group's numeric \"feature_3\" value. Using MAX(CAST(\"feature_3\" AS REAL)) preserves the intended grouped-percentile result in SQLite."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d6b204eeb685cb2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d6b204eeb685cb2/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d7d93efb98c0b96/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d7d93efb98c0b96/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..ca26ab1488c92b77c34b7238b5c093efccf65878
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d7d93efb98c0b96/cli/conversation.jsonl
@@ -0,0 +1,4 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4789, "bytes_utf8": 4789, "lines": 147, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "}
+{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 4789, "bytes_utf8": 4789, "lines": 147, "estimated_tokens": null}}
+{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 406, "bytes_utf8": 406, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13513, "cached_input_tokens": 12032, "output_tokens": 257, "reasoning_output_tokens": 145}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d7d93efb98c0b96/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d7d93efb98c0b96/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..fc9697b11b624288a9908dde030b2cdb63e2951d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d7d93efb98c0b96/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 2,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_8d7d93efb98c0b96",
+    "api_calls": 0,
+    "input_tokens": 13513,
+    "cached_input_tokens": 12032,
+    "output_tokens": 257,
+    "total_tokens": 13770,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 2,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 13338.83,
+    "sql_execution_elapsed_ms_total": 124.02,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d7d93efb98c0b96/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d7d93efb98c0b96/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d7d93efb98c0b96/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..462537ee676e1bba78c5cc2bac2bee89082c9510
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d7d93efb98c0b96/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:54:51.394490+00:00",
+  "ended_at": "2026-05-19T15:54:57.010418+00:00",
+  "elapsed_ms": 5615.9,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4789,
+    "bytes_utf8": 4789,
+    "lines": 147,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d7d93efb98c0b96/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d7d93efb98c0b96/cli/sql_attempt_2.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..c60f0bc4df45b974c9894118be5fd8260c3c813e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d7d93efb98c0b96/cli/sql_attempt_2.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:54:58.012261+00:00",
+  "ended_at": "2026-05-19T15:55:05.735232+00:00",
+  "elapsed_ms": 7722.93,
+  "prompt_metrics": {
+    "chars": 4789,
+    "bytes_utf8": 4789,
+    "lines": 147,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 761,
+    "bytes_utf8": 761,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 406,
+      "bytes_utf8": 406,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13513,
+      "cached_input_tokens": 12032,
+      "output_tokens": 257,
+      "reasoning_output_tokens": 145
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d7d93efb98c0b96/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d7d93efb98c0b96/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2f041b8339318bd21a44d4fe2768538af0ad3c54
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d7d93efb98c0b96/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,147 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_3, condition_col=target.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "feature_3",
+    "condition_col": "target",
+    "condition_value": "2",
+    "positive_value": "1",
+    "negative_value": "2",
+    "top_k": 17,
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d7d93efb98c0b96/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d7d93efb98c0b96/cli/sql_prompt_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2f041b8339318bd21a44d4fe2768538af0ad3c54
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d7d93efb98c0b96/cli/sql_prompt_attempt_2.txt
@@ -0,0 +1,147 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_3, condition_col=target.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "feature_3",
+    "condition_col": "target",
+    "condition_value": "2",
+    "positive_value": "1",
+    "negative_value": "2",
+    "top_k": 17,
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d7d93efb98c0b96/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d7d93efb98c0b96/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..be90f5e512a471de9608cca0b68cfe1249a78e96
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d7d93efb98c0b96/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f2-73af-76a3-8aa6-d3af01243de9"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d7d93efb98c0b96/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d7d93efb98c0b96/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..eb100512bb7c8467a1dc1da42c28f81840287a85
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d7d93efb98c0b96/cli/sql_response_attempt_1.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f2-73af-76a3-8aa6-d3af01243de9"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d7d93efb98c0b96/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d7d93efb98c0b96/cli/sql_response_attempt_2.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a6fde128f58406b1c49215e3fc68217ea150d113
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d7d93efb98c0b96/cli/sql_response_attempt_2.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f2-8d6b-7a00-b29f-3250e8f6638f"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"feature_3\\\",\\n       AVG(CASE WHEN \\\"target\\\" = '2' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_3\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the Grouped Condition Rate template with group_col=\\\"feature_3\\\" and condition_col=\\\"target\\\", using condition_value='2' as a TEXT literal to match the SQLite schema.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13513,"cached_input_tokens":12032,"output_tokens":257,"reasoning_output_tokens":145}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d7d93efb98c0b96/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d7d93efb98c0b96/cli/sql_response_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a264c6895edb71552621e3eb29975b61337734c7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d7d93efb98c0b96/cli/sql_response_attempt_2.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"feature_3\",\n       AVG(CASE WHEN \"target\" = '2' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n12\"\nGROUP BY \"feature_3\"\nORDER BY condition_rate DESC;","notes":"Applied the Grouped Condition Rate template with group_col=\"feature_3\" and condition_col=\"target\", using condition_value='2' as a TEXT literal to match the SQLite schema."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d7d93efb98c0b96/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d7d93efb98c0b96/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d7d93efb98c0b96/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8d7d93efb98c0b96/cli/sql_stderr_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8f4c0356c8c02a3d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8f4c0356c8c02a3d/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..ea608c7c9afa422635b8f445995028479c8d5d6d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8f4c0356c8c02a3d/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4730, "bytes_utf8": 4730, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1764, "bytes_utf8": 1764, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13494, "cached_input_tokens": 12672, "output_tokens": 1112, "reasoning_output_tokens": 516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8f4c0356c8c02a3d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8f4c0356c8c02a3d/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..37a26ed1d1f25a40004ee41579bcada2a7dbc77e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8f4c0356c8c02a3d/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_8f4c0356c8c02a3d",
+    "api_calls": 0,
+    "input_tokens": 13494,
+    "cached_input_tokens": 12672,
+    "output_tokens": 1112,
+    "total_tokens": 14606,
+    "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": 19960.62,
+    "sql_execution_elapsed_ms_total": 742.0,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8f4c0356c8c02a3d/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8f4c0356c8c02a3d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8f4c0356c8c02a3d/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..dc9a79f248428ebf181d9ad32ad621d3fd0295e9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8f4c0356c8c02a3d/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:50:13.349268+00:00",
+  "ended_at": "2026-05-19T15:50:33.309909+00:00",
+  "elapsed_ms": 19960.62,
+  "prompt_metrics": {
+    "chars": 4730,
+    "bytes_utf8": 4730,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 2370,
+    "bytes_utf8": 2370,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 1764,
+      "bytes_utf8": 1764,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13494,
+      "cached_input_tokens": 12672,
+      "output_tokens": 1112,
+      "reasoning_output_tokens": 516
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8f4c0356c8c02a3d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8f4c0356c8c02a3d/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8203feff781fd606022248d7494486884f048c14
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8f4c0356c8c02a3d/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=feature_2, measure_col=feature_3.",
+  "planned_template_id": "tpl_grouped_percentile_point",
+  "bindings": {
+    "group_col": "feature_2",
+    "measure_col": "feature_3",
+    "top_k": 19,
+    "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": 163.32,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8f4c0356c8c02a3d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8f4c0356c8c02a3d/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a3e90c6ca3cab2171bb9d352b9dc9469aca1afc5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8f4c0356c8c02a3d/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40ee-3583-74d3-b6f6-2d510d6778d6"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n  SELECT\\n    \\\"feature_2\\\",\\n    CAST(\\\"feature_3\\\" AS REAL) AS \\\"measure_value\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY \\\"feature_2\\\"\\n      ORDER BY CAST(\\\"feature_3\\\" AS REAL)\\n    ) AS \\\"rn\\\",\\n    COUNT(*) OVER (\\n      PARTITION BY \\\"feature_2\\\"\\n    ) AS \\\"cnt\\\"\\n  FROM \\\"n12\\\"\\n),\\n\\\"bounds\\\" AS (\\n  SELECT\\n    \\\"feature_2\\\",\\n    \\\"measure_value\\\",\\n    \\\"rn\\\",\\n    \\\"cnt\\\",\\n    ((\\\"cnt\\\" - 1) * 0.95) + 1.0 AS \\\"pos\\\",\\n    CAST((((\\\"cnt\\\" - 1) * 0.95) + 1.0) AS INTEGER) AS \\\"lo\\\",\\n    CASE\\n      WHEN (((\\\"cnt\\\" - 1) * 0.95) + 1.0) = CAST((((\\\"cnt\\\" - 1) * 0.95) + 1.0) AS INTEGER)\\n        THEN CAST((((\\\"cnt\\\" - 1) * 0.95) + 1.0) AS INTEGER)\\n      ELSE CAST((((\\\"cnt\\\" - 1) * 0.95) + 1.0) AS INTEGER) + 1\\n    END AS \\\"hi\\\"\\n  FROM \\\"ordered\\\"\\n),\\n\\\"picked\\\" AS (\\n  SELECT\\n    \\\"feature_2\\\",\\n    MAX(CASE WHEN \\\"rn\\\" = \\\"lo\\\" THEN \\\"measure_value\\\" END) AS \\\"lo_value\\\",\\n    MAX(CASE WHEN \\\"rn\\\" = \\\"hi\\\" THEN \\\"measure_value\\\" END) AS \\\"hi_value\\\",\\n    MAX(\\\"pos\\\") AS \\\"pos\\\",\\n    MAX(\\\"lo\\\") AS \\\"lo\\\",\\n    MAX(\\\"hi\\\") AS \\\"hi\\\"\\n  FROM \\\"bounds\\\"\\n  GROUP BY \\\"feature_2\\\"\\n)\\nSELECT\\n  \\\"feature_2\\\",\\n  CASE\\n    WHEN \\\"lo\\\" = \\\"hi\\\" THEN \\\"lo_value\\\"\\n    ELSE \\\"lo_value\\\" + ((\\\"pos\\\" - \\\"lo\\\") * (\\\"hi_value\\\" - \\\"lo_value\\\"))\\n  END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses window functions to compute the grouped 95th percentile of \\\"feature_3\\\" by \\\"feature_2\\\" with linear interpolation. \\\"feature_3\\\" is cast from TEXT to REAL for numeric ordering and calculation; no target filter was applied because none was explicitly bound.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13494,"cached_input_tokens":12672,"output_tokens":1112,"reasoning_output_tokens":516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8f4c0356c8c02a3d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8f4c0356c8c02a3d/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..f3be619de89477fa3933e287b088a20a0a9b0f18
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8f4c0356c8c02a3d/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n  SELECT\n    \"feature_2\",\n    CAST(\"feature_3\" AS REAL) AS \"measure_value\",\n    ROW_NUMBER() OVER (\n      PARTITION BY \"feature_2\"\n      ORDER BY CAST(\"feature_3\" AS REAL)\n    ) AS \"rn\",\n    COUNT(*) OVER (\n      PARTITION BY \"feature_2\"\n    ) AS \"cnt\"\n  FROM \"n12\"\n),\n\"bounds\" AS (\n  SELECT\n    \"feature_2\",\n    \"measure_value\",\n    \"rn\",\n    \"cnt\",\n    ((\"cnt\" - 1) * 0.95) + 1.0 AS \"pos\",\n    CAST((((\"cnt\" - 1) * 0.95) + 1.0) AS INTEGER) AS \"lo\",\n    CASE\n      WHEN (((\"cnt\" - 1) * 0.95) + 1.0) = CAST((((\"cnt\" - 1) * 0.95) + 1.0) AS INTEGER)\n        THEN CAST((((\"cnt\" - 1) * 0.95) + 1.0) AS INTEGER)\n      ELSE CAST((((\"cnt\" - 1) * 0.95) + 1.0) AS INTEGER) + 1\n    END AS \"hi\"\n  FROM \"ordered\"\n),\n\"picked\" AS (\n  SELECT\n    \"feature_2\",\n    MAX(CASE WHEN \"rn\" = \"lo\" THEN \"measure_value\" END) AS \"lo_value\",\n    MAX(CASE WHEN \"rn\" = \"hi\" THEN \"measure_value\" END) AS \"hi_value\",\n    MAX(\"pos\") AS \"pos\",\n    MAX(\"lo\") AS \"lo\",\n    MAX(\"hi\") AS \"hi\"\n  FROM \"bounds\"\n  GROUP BY \"feature_2\"\n)\nSELECT\n  \"feature_2\",\n  CASE\n    WHEN \"lo\" = \"hi\" THEN \"lo_value\"\n    ELSE \"lo_value\" + ((\"pos\" - \"lo\") * (\"hi_value\" - \"lo_value\"))\n  END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses window functions to compute the grouped 95th percentile of \"feature_3\" by \"feature_2\" with linear interpolation. \"feature_3\" is cast from TEXT to REAL for numeric ordering and calculation; no target filter was applied because none was explicitly bound."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8f4c0356c8c02a3d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_8f4c0356c8c02a3d/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9250936f7427fe95/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9250936f7427fe95/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..b90a08bee68a8d8912027e91a2a2ca2710bd0c28
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9250936f7427fe95/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4957, "bytes_utf8": 4957, "lines": 146, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 600, "bytes_utf8": 600, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13575, "cached_input_tokens": 12672, "output_tokens": 536, "reasoning_output_tokens": 358}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9250936f7427fe95/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9250936f7427fe95/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..8cf7030d5c1da6a266ddd314fd8d1901974112fe
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9250936f7427fe95/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_9250936f7427fe95",
+    "api_calls": 0,
+    "input_tokens": 13575,
+    "cached_input_tokens": 12672,
+    "output_tokens": 536,
+    "total_tokens": 14111,
+    "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": 10971.64,
+    "sql_execution_elapsed_ms_total": 249.34,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9250936f7427fe95/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9250936f7427fe95/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9250936f7427fe95/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..ea673dc7a2981e88d7e4bc0b4b59b819e07b4148
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9250936f7427fe95/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:34:59.738427+00:00",
+  "ended_at": "2026-05-19T15:35:10.710096+00:00",
+  "elapsed_ms": 10971.64,
+  "prompt_metrics": {
+    "chars": 4957,
+    "bytes_utf8": 4957,
+    "lines": 146,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 984,
+    "bytes_utf8": 984,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 600,
+      "bytes_utf8": 600,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13575,
+      "cached_input_tokens": 12672,
+      "output_tokens": 536,
+      "reasoning_output_tokens": 358
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9250936f7427fe95/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9250936f7427fe95/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8841f8e23d05ae389a3ca3ad065f49836f25ff7a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9250936f7427fe95/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,146 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "required_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_1, measure_col=feature_2.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "feature_1",
+    "measure_col": "feature_2",
+    "item_col": "feature_3",
+    "top_k": 18,
+    "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": 104.84,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9250936f7427fe95/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9250936f7427fe95/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d37dce3397dd481cf37a3b9bb98e93193e99c9a3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9250936f7427fe95/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e0-44aa-7a81-b6aa-417375b3037d"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"feature_1\\\", \\\"feature_3\\\",\\n       SUM(CAST(\\\"feature_2\\\" AS REAL)) AS total_measure,\\n       SUM(CAST(\\\"feature_2\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_2\\\" AS REAL))) OVER (PARTITION BY \\\"feature_1\\\") AS share_within_group\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_1\\\", \\\"feature_3\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"feature_1\\\", item_col=\\\"feature_3\\\", and measure_col=\\\"feature_2\\\". Cast \\\"feature_2\\\" from TEXT to REAL for numeric aggregation in SQLite.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13575,"cached_input_tokens":12672,"output_tokens":536,"reasoning_output_tokens":358}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9250936f7427fe95/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9250936f7427fe95/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..817831fd4dd3954f7137181b593995e377c2b9da
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9250936f7427fe95/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"feature_1\", \"feature_3\",\n       SUM(CAST(\"feature_2\" AS REAL)) AS total_measure,\n       SUM(CAST(\"feature_2\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_2\" AS REAL))) OVER (PARTITION BY \"feature_1\") AS share_within_group\nFROM \"n12\"\nGROUP BY \"feature_1\", \"feature_3\"\nORDER BY share_within_group DESC;","notes":"Applied the Within-Group Share of Total template with group_col=\"feature_1\", item_col=\"feature_3\", and measure_col=\"feature_2\". Cast \"feature_2\" from TEXT to REAL for numeric aggregation in SQLite."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9250936f7427fe95/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9250936f7427fe95/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_97502a2b5b98af7a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_97502a2b5b98af7a/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..549fa613c62a563dd969840a5a550868587c89ce
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_97502a2b5b98af7a/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5348, "bytes_utf8": 5348, "lines": 147, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 613, "bytes_utf8": 613, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13661, "cached_input_tokens": 12672, "output_tokens": 556, "reasoning_output_tokens": 382}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_97502a2b5b98af7a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_97502a2b5b98af7a/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..69a5717f4c24e2a49b3a1b92a2aeef85742caea2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_97502a2b5b98af7a/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_97502a2b5b98af7a",
+    "api_calls": 0,
+    "input_tokens": 13661,
+    "cached_input_tokens": 12672,
+    "output_tokens": 556,
+    "total_tokens": 14217,
+    "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": 13446.83,
+    "sql_execution_elapsed_ms_total": 142.66,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_97502a2b5b98af7a/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_97502a2b5b98af7a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_97502a2b5b98af7a/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..6ab46f07c278f871b61532ef60604c1ceefc5332
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_97502a2b5b98af7a/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:37:42.110995+00:00",
+  "ended_at": "2026-05-19T15:37:55.557866+00:00",
+  "elapsed_ms": 13446.83,
+  "prompt_metrics": {
+    "chars": 5348,
+    "bytes_utf8": 5348,
+    "lines": 147,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 978,
+    "bytes_utf8": 978,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 613,
+      "bytes_utf8": 613,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13661,
+      "cached_input_tokens": 12672,
+      "output_tokens": 556,
+      "reasoning_output_tokens": 382
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_97502a2b5b98af7a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_97502a2b5b98af7a/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c131d743770d751d4161990647c2698d793dbf06
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_97502a2b5b98af7a/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,147 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_ratio_two_conditions",
+    "template_name": "Grouped Ratio of Two Conditions",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=feature_1, condition_col=target.",
+  "planned_template_id": "tpl_m4_group_ratio_two_conditions",
+  "bindings": {
+    "group_col": "feature_1",
+    "condition_col": "target",
+    "condition_value": "1",
+    "positive_value": "1",
+    "negative_value": "2",
+    "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": 116.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_97502a2b5b98af7a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_97502a2b5b98af7a/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b3906a44db1d8c053cc9cf93c66da6c3d7123777
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_97502a2b5b98af7a/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e2-bede-7ba2-a08b-7db8ead4f3ba"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n    SELECT \\\"feature_1\\\",\\n           SUM(CASE WHEN \\\"target\\\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\\n           SUM(CASE WHEN \\\"target\\\" = '2' THEN 1 ELSE 0 END) AS denominator_count\\n    FROM \\\"n12\\\"\\n    GROUP BY \\\"feature_1\\\"\\n)\\nSELECT \\\"feature_1\\\",\\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Groups rows by \\\"feature_1\\\" and computes the ratio of target='1' to target='2' within each group using the planned template.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13661,"cached_input_tokens":12672,"output_tokens":556,"reasoning_output_tokens":382}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_97502a2b5b98af7a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_97502a2b5b98af7a/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0d3255b26ea7aa0700ba74645278f54bf01d9b14
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_97502a2b5b98af7a/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n    SELECT \"feature_1\",\n           SUM(CASE WHEN \"target\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN \"target\" = '2' THEN 1 ELSE 0 END) AS denominator_count\n    FROM \"n12\"\n    GROUP BY \"feature_1\"\n)\nSELECT \"feature_1\",\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Groups rows by \"feature_1\" and computes the ratio of target='1' to target='2' within each group using the planned template."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_97502a2b5b98af7a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_97502a2b5b98af7a/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9b58139dd925cce8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9b58139dd925cce8/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..9919dc33f660881f9b6b0807a6186b1ed3ec5087
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9b58139dd925cce8/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5102, "bytes_utf8": 5102, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 627, "bytes_utf8": 627, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13592, "cached_input_tokens": 12672, "output_tokens": 506, "reasoning_output_tokens": 332}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9b58139dd925cce8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9b58139dd925cce8/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..694d331d4da22878f68f4aeed6ee1dc69508b9ea
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9b58139dd925cce8/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_9b58139dd925cce8",
+    "api_calls": 0,
+    "input_tokens": 13592,
+    "cached_input_tokens": 12672,
+    "output_tokens": 506,
+    "total_tokens": 14098,
+    "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": 13208.75,
+    "sql_execution_elapsed_ms_total": 103.3,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9b58139dd925cce8/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9b58139dd925cce8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9b58139dd925cce8/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..9b486b157b5e2d3d8a137b2ab2611615a6c0cc69
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9b58139dd925cce8/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:41:17.608280+00:00",
+  "ended_at": "2026-05-19T15:41:30.817054+00:00",
+  "elapsed_ms": 13208.75,
+  "prompt_metrics": {
+    "chars": 5102,
+    "bytes_utf8": 5102,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 998,
+    "bytes_utf8": 998,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 627,
+      "bytes_utf8": 627,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13592,
+      "cached_input_tokens": 12672,
+      "output_tokens": 506,
+      "reasoning_output_tokens": 332
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9b58139dd925cce8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9b58139dd925cce8/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6efb6101d3482a27084ab75d4fb9e2a35a57795e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9b58139dd925cce8/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "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;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_1, measure_col=feature_1.",
+  "planned_template_id": "tpl_tpch_relative_total_threshold",
+  "bindings": {
+    "group_col": "feature_1",
+    "measure_col": "feature_1",
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, 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;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9b58139dd925cce8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9b58139dd925cce8/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..761fd853afb325388ff99c6cf0076c655caf5970
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9b58139dd925cce8/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e6-08ca-7ec0-b42e-c35cade00ae0"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT\\n        \\\"feature_1\\\",\\n        SUM(CAST(\\\"feature_1\\\" AS REAL)) AS group_value\\n    FROM \\\"n12\\\"\\n    GROUP BY \\\"feature_1\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT\\n    g.\\\"feature_1\\\",\\n    g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the provided template with group_col and measure_col both bound to \\\"feature_1\\\". Cast \\\"feature_1\\\" from TEXT to REAL for SQLite numeric aggregation.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13592,"cached_input_tokens":12672,"output_tokens":506,"reasoning_output_tokens":332}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9b58139dd925cce8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9b58139dd925cce8/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c8d094f44234308def2b19d7de9c91b8bc560aa2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9b58139dd925cce8/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n    SELECT\n        \"feature_1\",\n        SUM(CAST(\"feature_1\" AS REAL)) AS group_value\n    FROM \"n12\"\n    GROUP BY \"feature_1\"\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT\n    g.\"feature_1\",\n    g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Used the provided template with group_col and measure_col both bound to \"feature_1\". Cast \"feature_1\" from TEXT to REAL for SQLite numeric aggregation."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9b58139dd925cce8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9b58139dd925cce8/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9f4998b96dc73457/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9f4998b96dc73457/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..493c6a66ae091ad19c330a17c1a9031e7de41562
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9f4998b96dc73457/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4954, "bytes_utf8": 4954, "lines": 146, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 678, "bytes_utf8": 678, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13575, "cached_input_tokens": 12672, "output_tokens": 710, "reasoning_output_tokens": 516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9f4998b96dc73457/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9f4998b96dc73457/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..ad7fe4a5e0c8df20b1ac3a9a7320b0117c03004a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9f4998b96dc73457/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_9f4998b96dc73457",
+    "api_calls": 0,
+    "input_tokens": 13575,
+    "cached_input_tokens": 12672,
+    "output_tokens": 710,
+    "total_tokens": 14285,
+    "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": 15052.05,
+    "sql_execution_elapsed_ms_total": 247.25,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9f4998b96dc73457/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9f4998b96dc73457/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9f4998b96dc73457/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..21d28b38540a4c85fe91ce69febedd43e02f7d1a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9f4998b96dc73457/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:35:10.968103+00:00",
+  "ended_at": "2026-05-19T15:35:26.020183+00:00",
+  "elapsed_ms": 15052.05,
+  "prompt_metrics": {
+    "chars": 4954,
+    "bytes_utf8": 4954,
+    "lines": 146,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1074,
+    "bytes_utf8": 1074,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 678,
+      "bytes_utf8": 678,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13575,
+      "cached_input_tokens": 12672,
+      "output_tokens": 710,
+      "reasoning_output_tokens": 516
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9f4998b96dc73457/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9f4998b96dc73457/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..f73c0a141978a60d14f81b035e9e20e27701b946
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9f4998b96dc73457/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,146 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "required_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_2, measure_col=feature_3.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "feature_2",
+    "measure_col": "feature_3",
+    "item_col": "feature_1",
+    "top_k": 14,
+    "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": 186.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9f4998b96dc73457/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9f4998b96dc73457/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6b93a26788042d4873e06a34b78d5416e5a82be8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9f4998b96dc73457/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e0-708e-7b52-be02-23cb2ac08fd4"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"feature_2\\\", \\\"feature_1\\\",\\n       SUM(CAST(\\\"feature_3\\\" AS REAL)) AS \\\"total_measure\\\",\\n       SUM(CAST(\\\"feature_3\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_3\\\" AS REAL))) OVER (PARTITION BY \\\"feature_2\\\") AS \\\"share_within_group\\\"\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_2\\\", \\\"feature_1\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=\\\"feature_2\\\", item_col=\\\"feature_1\\\", and measure_col=\\\"feature_3\\\". Cast \\\"feature_3\\\" from TEXT to REAL for numeric aggregation. No target filter was added because no target binding was provided.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13575,"cached_input_tokens":12672,"output_tokens":710,"reasoning_output_tokens":516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9f4998b96dc73457/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9f4998b96dc73457/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6174a43a3950e8d6772ae38378f383bd61e9033c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9f4998b96dc73457/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"feature_2\", \"feature_1\",\n       SUM(CAST(\"feature_3\" AS REAL)) AS \"total_measure\",\n       SUM(CAST(\"feature_3\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_3\" AS REAL))) OVER (PARTITION BY \"feature_2\") AS \"share_within_group\"\nFROM \"n12\"\nGROUP BY \"feature_2\", \"feature_1\"\nORDER BY \"share_within_group\" DESC;","notes":"Applied the provided Within-Group Share of Total template with group_col=\"feature_2\", item_col=\"feature_1\", and measure_col=\"feature_3\". Cast \"feature_3\" from TEXT to REAL for numeric aggregation. No target filter was added because no target binding was provided."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9f4998b96dc73457/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_9f4998b96dc73457/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a66cc05a054e2820/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a66cc05a054e2820/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..dadea8988c3b993ad650207a9c190e787d45e051
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a66cc05a054e2820/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4550, "bytes_utf8": 4550, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 385, "bytes_utf8": 385, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13456, "cached_input_tokens": 12032, "output_tokens": 455, "reasoning_output_tokens": 344}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a66cc05a054e2820/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a66cc05a054e2820/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..d616029380a4bc8020473afa267f080d08ab5938
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a66cc05a054e2820/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_a66cc05a054e2820",
+    "api_calls": 0,
+    "input_tokens": 13456,
+    "cached_input_tokens": 12032,
+    "output_tokens": 455,
+    "total_tokens": 13911,
+    "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": 10098.91,
+    "sql_execution_elapsed_ms_total": 127.2,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a66cc05a054e2820/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a66cc05a054e2820/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a66cc05a054e2820/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..8efb84f07fb9cd21b6f7fd42dec666664e4b0dce
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a66cc05a054e2820/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:29:09.807218+00:00",
+  "ended_at": "2026-05-19T15:29:19.906160+00:00",
+  "elapsed_ms": 10098.91,
+  "prompt_metrics": {
+    "chars": 4550,
+    "bytes_utf8": 4550,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 743,
+    "bytes_utf8": 743,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 385,
+      "bytes_utf8": 385,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13456,
+      "cached_input_tokens": 12032,
+      "output_tokens": 455,
+      "reasoning_output_tokens": 344
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a66cc05a054e2820/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a66cc05a054e2820/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..091fc314c7106499b06809929fce938c4d05f964
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a66cc05a054e2820/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_3, measure_col=feature_3.",
+  "planned_template_id": "tpl_h2o_group_sum",
+  "bindings": {
+    "group_col": "feature_3",
+    "measure_col": "feature_3",
+    "top_k": 17,
+    "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": 163.32,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a66cc05a054e2820/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a66cc05a054e2820/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4c146c8bb7ad1cda917660f499853cecaabb8543
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a66cc05a054e2820/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40da-eda7-7ff2-944a-7fd9d9045457"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_3\\\", SUM(CAST(\\\"feature_3\\\" AS INTEGER)) AS total_measure\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_3\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied tpl_h2o_group_sum with group_col=\\\"feature_3\\\" and measure_col=\\\"feature_3\\\". Casted \\\"feature_3\\\" to INTEGER because the SQLite schema stores this numeric-discrete field as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13456,"cached_input_tokens":12032,"output_tokens":455,"reasoning_output_tokens":344}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a66cc05a054e2820/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a66cc05a054e2820/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3585f13a85a535d9b575606391967927c56411cb
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a66cc05a054e2820/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"feature_3\", SUM(CAST(\"feature_3\" AS INTEGER)) AS total_measure\nFROM \"n12\"\nGROUP BY \"feature_3\"\nORDER BY total_measure DESC;","notes":"Applied tpl_h2o_group_sum with group_col=\"feature_3\" and measure_col=\"feature_3\". Casted \"feature_3\" to INTEGER because the SQLite schema stores this numeric-discrete field as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a66cc05a054e2820/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a66cc05a054e2820/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a85357f6c53e6ac9/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a85357f6c53e6ac9/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..f4aa42828c2ea9dd6c4eae3673c0b8bb032391b8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a85357f6c53e6ac9/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5105, "bytes_utf8": 5105, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 697, "bytes_utf8": 697, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13592, "cached_input_tokens": 12672, "output_tokens": 725, "reasoning_output_tokens": 516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a85357f6c53e6ac9/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a85357f6c53e6ac9/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..56a2e4b1cf67e0228ca1196752599b6d7eec5547
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a85357f6c53e6ac9/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_a85357f6c53e6ac9",
+    "api_calls": 0,
+    "input_tokens": 13592,
+    "cached_input_tokens": 12672,
+    "output_tokens": 725,
+    "total_tokens": 14317,
+    "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": 13547.5,
+    "sql_execution_elapsed_ms_total": 122.59,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a85357f6c53e6ac9/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a85357f6c53e6ac9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a85357f6c53e6ac9/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..a11e9fbb03d72eb8f7fe2202e887eba9235d603e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a85357f6c53e6ac9/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:43:56.465345+00:00",
+  "ended_at": "2026-05-19T15:44:10.012871+00:00",
+  "elapsed_ms": 13547.5,
+  "prompt_metrics": {
+    "chars": 5105,
+    "bytes_utf8": 5105,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1117,
+    "bytes_utf8": 1117,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 697,
+      "bytes_utf8": 697,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13592,
+      "cached_input_tokens": 12672,
+      "output_tokens": 725,
+      "reasoning_output_tokens": 516
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a85357f6c53e6ac9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a85357f6c53e6ac9/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..692045460b1f30d8937d7e733a2472630ac21513
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a85357f6c53e6ac9/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "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;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_2, measure_col=feature_3.",
+  "planned_template_id": "tpl_tpch_relative_total_threshold",
+  "bindings": {
+    "group_col": "feature_2",
+    "measure_col": "feature_3",
+    "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": 163.32,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, 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;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a85357f6c53e6ac9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a85357f6c53e6ac9/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b507fff73a777681fccf22d2d12a5a42722b8e17
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a85357f6c53e6ac9/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e8-7533-73a0-9428-d83add0125b1"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n  SELECT\\n    \\\"feature_2\\\",\\n    SUM(CAST(\\\"feature_3\\\" AS REAL)) AS \\\"group_value\\\"\\n  FROM \\\"n12\\\"\\n  GROUP BY \\\"feature_2\\\"\\n),\\n\\\"total\\\" AS (\\n  SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n  FROM \\\"grouped\\\"\\n)\\nSELECT\\n  g.\\\"feature_2\\\",\\n  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\":\"Used the provided Relative-to-Total Extreme Threshold template with group_col=\\\"feature_2\\\" and measure_col=\\\"feature_3\\\". CAST to REAL is included because the schema stores numeric fields as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13592,"cached_input_tokens":12672,"output_tokens":725,"reasoning_output_tokens":516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a85357f6c53e6ac9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a85357f6c53e6ac9/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..f5afca88473ed9390ce8f5549394c1ff4faee0d0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a85357f6c53e6ac9/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n  SELECT\n    \"feature_2\",\n    SUM(CAST(\"feature_3\" AS REAL)) AS \"group_value\"\n  FROM \"n12\"\n  GROUP BY \"feature_2\"\n),\n\"total\" AS (\n  SELECT SUM(\"group_value\") AS \"total_value\"\n  FROM \"grouped\"\n)\nSELECT\n  g.\"feature_2\",\n  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":"Used the provided Relative-to-Total Extreme Threshold template with group_col=\"feature_2\" and measure_col=\"feature_3\". CAST to REAL is included because the schema stores numeric fields as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a85357f6c53e6ac9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a85357f6c53e6ac9/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a89cf6e292ba8ffd/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a89cf6e292ba8ffd/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..75bcde32a123e5f4e9a90d41d590dfa94465d3af
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a89cf6e292ba8ffd/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4547, "bytes_utf8": 4547, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 411, "bytes_utf8": 411, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13456, "cached_input_tokens": 12032, "output_tokens": 477, "reasoning_output_tokens": 362}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a89cf6e292ba8ffd/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a89cf6e292ba8ffd/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..0e2d67b0f7049eaf38a7e3f1740fce911f5bd3ef
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a89cf6e292ba8ffd/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_a89cf6e292ba8ffd",
+    "api_calls": 0,
+    "input_tokens": 13456,
+    "cached_input_tokens": 12032,
+    "output_tokens": 477,
+    "total_tokens": 13933,
+    "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": 14084.75,
+    "sql_execution_elapsed_ms_total": 116.6,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a89cf6e292ba8ffd/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a89cf6e292ba8ffd/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a89cf6e292ba8ffd/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..74a8627788719a55b3592965a6f216e0c842a705
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a89cf6e292ba8ffd/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:30:14.840007+00:00",
+  "ended_at": "2026-05-19T15:30:28.924801+00:00",
+  "elapsed_ms": 14084.75,
+  "prompt_metrics": {
+    "chars": 4547,
+    "bytes_utf8": 4547,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 775,
+    "bytes_utf8": 775,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 411,
+      "bytes_utf8": 411,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13456,
+      "cached_input_tokens": 12032,
+      "output_tokens": 477,
+      "reasoning_output_tokens": 362
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a89cf6e292ba8ffd/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a89cf6e292ba8ffd/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2aa006b60ee34007ab6a863fec785fc99ed4399f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a89cf6e292ba8ffd/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_2, measure_col=feature_3.",
+  "planned_template_id": "tpl_h2o_group_sum",
+  "bindings": {
+    "group_col": "feature_2",
+    "measure_col": "feature_3",
+    "top_k": 10,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 186.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a89cf6e292ba8ffd/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a89cf6e292ba8ffd/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0ccb44cdcae0bd4711dcc02fe3ed65252e24b4cc
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a89cf6e292ba8ffd/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40db-ebcb-7542-9281-98f8718ce7a6"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT\\n  \\\"feature_2\\\",\\n  SUM(CAST(\\\"feature_3\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_2\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the grouped numeric sum template with \\\"feature_2\\\" as the grouping column and \\\"feature_3\\\" as the summed measure. CAST is used because the schema stores these numeric fields as TEXT in SQLite.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13456,"cached_input_tokens":12032,"output_tokens":477,"reasoning_output_tokens":362}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a89cf6e292ba8ffd/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a89cf6e292ba8ffd/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..5969a566da183b6a2b2788a11dca062ca2c1e129
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a89cf6e292ba8ffd/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT\n  \"feature_2\",\n  SUM(CAST(\"feature_3\" AS REAL)) AS \"total_measure\"\nFROM \"n12\"\nGROUP BY \"feature_2\"\nORDER BY \"total_measure\" DESC;","notes":"Applied the grouped numeric sum template with \"feature_2\" as the grouping column and \"feature_3\" as the summed measure. CAST is used because the schema stores these numeric fields as TEXT in SQLite."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a89cf6e292ba8ffd/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a89cf6e292ba8ffd/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a9c92acb873640ca/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a9c92acb873640ca/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..914e69ccc9434e9675040bac845b5989ef8a1494
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a9c92acb873640ca/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4629, "bytes_utf8": 4629, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 418, "bytes_utf8": 418, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13466, "cached_input_tokens": 12032, "output_tokens": 337, "reasoning_output_tokens": 226}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a9c92acb873640ca/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a9c92acb873640ca/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..7e266d88940f4267e706ea03286e727b073f36c0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a9c92acb873640ca/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_a9c92acb873640ca",
+    "api_calls": 0,
+    "input_tokens": 13466,
+    "cached_input_tokens": 12032,
+    "output_tokens": 337,
+    "total_tokens": 13803,
+    "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": 9760.87,
+    "sql_execution_elapsed_ms_total": 404.18,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a9c92acb873640ca/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a9c92acb873640ca/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a9c92acb873640ca/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..609225031ccf0d9580ff1ba6d0fd0c18350ba1f2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a9c92acb873640ca/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:00:29.483856+00:00",
+  "ended_at": "2026-05-19T16:00:39.244749+00:00",
+  "elapsed_ms": 9760.87,
+  "prompt_metrics": {
+    "chars": 4629,
+    "bytes_utf8": 4629,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 776,
+    "bytes_utf8": 776,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 418,
+      "bytes_utf8": 418,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13466,
+      "cached_input_tokens": 12032,
+      "output_tokens": 337,
+      "reasoning_output_tokens": 226
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a9c92acb873640ca/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a9c92acb873640ca/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e2516ec925d85525ec9542c43a1a0e4531fa5a8e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a9c92acb873640ca/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=feature_2, measure_col=feature_3.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "feature_2",
+    "measure_col": "feature_3",
+    "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": 186.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a9c92acb873640ca/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a9c92acb873640ca/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..88ec863efe6fdd7f8b9ea0b02e60ae2d3e9641c4
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a9c92acb873640ca/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f7-9c3b-7670-9055-7b6b7a9c7b69"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"feature_2\\\",\\n       AVG(CAST(\\\"feature_3\\\" AS REAL)) OVER (PARTITION BY \\\"feature_2\\\") AS avg_measure\\nFROM \\\"n12\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the Window Partition Average template with group_col=\\\"feature_2\\\" and measure_col=\\\"feature_3\\\". Cast \\\"feature_3\\\" to REAL because the schema stores numeric-looking values as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13466,"cached_input_tokens":12032,"output_tokens":337,"reasoning_output_tokens":226}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a9c92acb873640ca/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a9c92acb873640ca/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..71dc6477c669e3072425c59c382e555fd0275fa5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a9c92acb873640ca/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"feature_2\",\n       AVG(CAST(\"feature_3\" AS REAL)) OVER (PARTITION BY \"feature_2\") AS avg_measure\nFROM \"n12\"\nORDER BY avg_measure DESC;","notes":"Applied the Window Partition Average template with group_col=\"feature_2\" and measure_col=\"feature_3\". Cast \"feature_3\" to REAL because the schema stores numeric-looking values as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a9c92acb873640ca/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_a9c92acb873640ca/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aa358110b92b4a94/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aa358110b92b4a94/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..7a6a8fe66a7ac1626dd5cf074d21b3c084785057
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aa358110b92b4a94/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4957, "bytes_utf8": 4957, "lines": 146, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 790, "bytes_utf8": 790, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13575, "cached_input_tokens": 12672, "output_tokens": 743, "reasoning_output_tokens": 516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aa358110b92b4a94/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aa358110b92b4a94/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..069b69ef06a6db25dd298b20c2219021fdb2d816
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aa358110b92b4a94/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_aa358110b92b4a94",
+    "api_calls": 0,
+    "input_tokens": 13575,
+    "cached_input_tokens": 12672,
+    "output_tokens": 743,
+    "total_tokens": 14318,
+    "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": 13697.94,
+    "sql_execution_elapsed_ms_total": 151.83,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aa358110b92b4a94/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aa358110b92b4a94/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aa358110b92b4a94/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..284b330c8ebe5b8c83be482229889db57a29c74c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aa358110b92b4a94/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:36:45.529855+00:00",
+  "ended_at": "2026-05-19T15:36:59.227822+00:00",
+  "elapsed_ms": 13697.94,
+  "prompt_metrics": {
+    "chars": 4957,
+    "bytes_utf8": 4957,
+    "lines": 146,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1180,
+    "bytes_utf8": 1180,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 790,
+      "bytes_utf8": 790,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13575,
+      "cached_input_tokens": 12672,
+      "output_tokens": 743,
+      "reasoning_output_tokens": 516
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aa358110b92b4a94/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aa358110b92b4a94/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..38a436fd249641b987bf8be3d587500f36ee013e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aa358110b92b4a94/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,146 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "required_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_1, measure_col=feature_3.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "feature_1",
+    "measure_col": "feature_3",
+    "item_col": "feature_1",
+    "top_k": 17,
+    "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": 163.32,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aa358110b92b4a94/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aa358110b92b4a94/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1f26e29af8a144852adb58d04d3eeee83c353ffe
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aa358110b92b4a94/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e1-e206-73c2-9c63-6c940d58c506"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"feature_1\\\" AS \\\"group_col\\\",\\n  \\\"feature_1\\\" AS \\\"item_col\\\",\\n  SUM(CAST(\\\"feature_3\\\" AS REAL)) AS \\\"total_measure\\\",\\n  SUM(CAST(\\\"feature_3\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_3\\\" AS REAL))) OVER (PARTITION BY \\\"feature_1\\\") AS \\\"share_within_group\\\"\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_1\\\", \\\"feature_1\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Applied the requested Within-Group Share of Total template with the provided bindings: group_col=feature_1, item_col=feature_1, measure_col=feature_3. CAST to REAL is used because the schema stores feature columns as TEXT. Because item_col and group_col are the same column, each group's within-group share will evaluate to 100% for that feature_1 value.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13575,"cached_input_tokens":12672,"output_tokens":743,"reasoning_output_tokens":516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aa358110b92b4a94/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aa358110b92b4a94/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..23ac726ffdd88e627cd3c4c3ccdae9f3d5dc6f54
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aa358110b92b4a94/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n  \"feature_1\" AS \"group_col\",\n  \"feature_1\" AS \"item_col\",\n  SUM(CAST(\"feature_3\" AS REAL)) AS \"total_measure\",\n  SUM(CAST(\"feature_3\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_3\" AS REAL))) OVER (PARTITION BY \"feature_1\") AS \"share_within_group\"\nFROM \"n12\"\nGROUP BY \"feature_1\", \"feature_1\"\nORDER BY \"share_within_group\" DESC;","notes":"Applied the requested Within-Group Share of Total template with the provided bindings: group_col=feature_1, item_col=feature_1, measure_col=feature_3. CAST to REAL is used because the schema stores feature columns as TEXT. Because item_col and group_col are the same column, each group's within-group share will evaluate to 100% for that feature_1 value."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aa358110b92b4a94/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aa358110b92b4a94/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_abc186be20686c74/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_abc186be20686c74/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..e3ff6525cebbc7f05e80d24e934fbe4eaa7dfda7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_abc186be20686c74/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4962, "bytes_utf8": 4962, "lines": 146, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 612, "bytes_utf8": 612, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13576, "cached_input_tokens": 12672, "output_tokens": 1124, "reasoning_output_tokens": 938}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_abc186be20686c74/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_abc186be20686c74/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..6643402f3ae28d6a7a86546a2509dd2197926d04
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_abc186be20686c74/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_abc186be20686c74",
+    "api_calls": 0,
+    "input_tokens": 13576,
+    "cached_input_tokens": 12672,
+    "output_tokens": 1124,
+    "total_tokens": 14700,
+    "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": 19648.01,
+    "sql_execution_elapsed_ms_total": 219.82,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_abc186be20686c74/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_abc186be20686c74/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_abc186be20686c74/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..ec9c0f04fba263e7c8cba5a7b6d8a122cee3d1e5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_abc186be20686c74/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:33:21.907363+00:00",
+  "ended_at": "2026-05-19T15:33:41.555413+00:00",
+  "elapsed_ms": 19648.01,
+  "prompt_metrics": {
+    "chars": 4962,
+    "bytes_utf8": 4962,
+    "lines": 146,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 996,
+    "bytes_utf8": 996,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 612,
+      "bytes_utf8": 612,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13576,
+      "cached_input_tokens": 12672,
+      "output_tokens": 1124,
+      "reasoning_output_tokens": 938
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_abc186be20686c74/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_abc186be20686c74/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3fc92040e2c4c3338917704147b152fd9e1ea736
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_abc186be20686c74/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,146 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "required_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_2, measure_col=feature_2.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "feature_2",
+    "measure_col": "feature_2",
+    "item_col": "feature_3",
+    "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": 104.84,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_abc186be20686c74/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_abc186be20686c74/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..27bdad69c94745b022f51b50b18717d86e883783
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_abc186be20686c74/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40de-c6a0-71e0-8793-fa85dca0e1a2"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"feature_2\\\",\\n  \\\"feature_3\\\",\\n  SUM(CAST(\\\"feature_2\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"feature_2\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_2\\\" AS REAL))) OVER (PARTITION BY \\\"feature_2\\\") AS share_within_group\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_2\\\", \\\"feature_3\\\"\\nORDER BY share_within_group DESC\\nLIMIT 15;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"feature_2\\\", item_col=\\\"feature_3\\\", and measure_col=\\\"feature_2\\\". CAST to REAL is used because the numeric fields are stored as TEXT in SQLite.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13576,"cached_input_tokens":12672,"output_tokens":1124,"reasoning_output_tokens":938}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_abc186be20686c74/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_abc186be20686c74/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2cf7b9be4240651b0ec153c9e32444e3b6a717ab
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_abc186be20686c74/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n  \"feature_2\",\n  \"feature_3\",\n  SUM(CAST(\"feature_2\" AS REAL)) AS total_measure,\n  SUM(CAST(\"feature_2\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_2\" AS REAL))) OVER (PARTITION BY \"feature_2\") AS share_within_group\nFROM \"n12\"\nGROUP BY \"feature_2\", \"feature_3\"\nORDER BY share_within_group DESC\nLIMIT 15;","notes":"Applied the Within-Group Share of Total template with group_col=\"feature_2\", item_col=\"feature_3\", and measure_col=\"feature_2\". CAST to REAL is used because the numeric fields are stored as TEXT in SQLite."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_abc186be20686c74/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_abc186be20686c74/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aee8ff2e57d50840/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aee8ff2e57d50840/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..dad5c2519a683fb4d8bcdebf9e8a3af442090033
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aee8ff2e57d50840/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4860, "bytes_utf8": 4860, "lines": 148, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 484, "bytes_utf8": 484, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13552, "cached_input_tokens": 12032, "output_tokens": 878, "reasoning_output_tokens": 742}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aee8ff2e57d50840/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aee8ff2e57d50840/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..66b59f227d1a2670ab0de957ef2a4a5254e066d4
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aee8ff2e57d50840/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_aee8ff2e57d50840",
+    "api_calls": 0,
+    "input_tokens": 13552,
+    "cached_input_tokens": 12032,
+    "output_tokens": 878,
+    "total_tokens": 14430,
+    "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": 16573.12,
+    "sql_execution_elapsed_ms_total": 127.19,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aee8ff2e57d50840/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aee8ff2e57d50840/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aee8ff2e57d50840/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..3df3f3e15ad93aca319cb6c43920fe4d776a8f1f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aee8ff2e57d50840/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:38:32.777955+00:00",
+  "ended_at": "2026-05-19T15:38:49.351105+00:00",
+  "elapsed_ms": 16573.12,
+  "prompt_metrics": {
+    "chars": 4860,
+    "bytes_utf8": 4860,
+    "lines": 148,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 859,
+    "bytes_utf8": 859,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 484,
+      "bytes_utf8": 484,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13552,
+      "cached_input_tokens": 12032,
+      "output_tokens": 878,
+      "reasoning_output_tokens": 742
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aee8ff2e57d50840/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aee8ff2e57d50840/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b55a902e3cf140ddd1b62f6367be7ceec9754fce
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aee8ff2e57d50840/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,148 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_c2_filtered_group_count_2d",
+    "template_name": "Filtered Two-Dimensional Group Count",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;",
+    "required_roles": [
+      "group_col",
+      "group_col_2",
+      "predicate_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=feature_1, group_col_2=feature_3.",
+  "planned_template_id": "tpl_c2_filtered_group_count_2d",
+  "bindings": {
+    "group_col": "feature_1",
+    "group_col_2": "feature_3",
+    "predicate_col": "feature_2",
+    "predicate_op": ">=",
+    "predicate_value": 116.0,
+    "top_k": 14,
+    "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": 116.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aee8ff2e57d50840/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aee8ff2e57d50840/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b40a12a88ddb407fc2f401a5ef2bd42a26f4b70e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aee8ff2e57d50840/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e3-84d1-7331-b9f7-35c189020746"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"feature_1\\\", \\\"feature_3\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n12\\\"\\nWHERE CAST(\\\"feature_2\\\" AS REAL) >= 116.0\\nGROUP BY \\\"feature_1\\\", \\\"feature_3\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Used the planned filtered two-dimensional group-count template with \\\"feature_1\\\" and \\\"feature_3\\\" as grouping columns and a numeric predicate on \\\"feature_2\\\". CAST is required because the schema stores these fields as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13552,"cached_input_tokens":12032,"output_tokens":878,"reasoning_output_tokens":742}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aee8ff2e57d50840/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aee8ff2e57d50840/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..18a38a74af792b9e8eac20c09ca968dc647d1af6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aee8ff2e57d50840/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"feature_1\", \"feature_3\", COUNT(*) AS \"row_count\"\nFROM \"n12\"\nWHERE CAST(\"feature_2\" AS REAL) >= 116.0\nGROUP BY \"feature_1\", \"feature_3\"\nORDER BY \"row_count\" DESC;","notes":"Used the planned filtered two-dimensional group-count template with \"feature_1\" and \"feature_3\" as grouping columns and a numeric predicate on \"feature_2\". CAST is required because the schema stores these fields as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aee8ff2e57d50840/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_aee8ff2e57d50840/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_af0b092df7142aef/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_af0b092df7142aef/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..38bfe2e87acb2bcb4e043a42719915296f42b7d4
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_af0b092df7142aef/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4456, "bytes_utf8": 4456, "lines": 142, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 281, "bytes_utf8": 281, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13427, "cached_input_tokens": 12032, "output_tokens": 263, "reasoning_output_tokens": 183}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_af0b092df7142aef/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_af0b092df7142aef/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..11c535b7d01a027318988fbf14b044ae19be48d6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_af0b092df7142aef/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_af0b092df7142aef",
+    "api_calls": 0,
+    "input_tokens": 13427,
+    "cached_input_tokens": 12032,
+    "output_tokens": 263,
+    "total_tokens": 13690,
+    "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": 13112.18,
+    "sql_execution_elapsed_ms_total": 117.24,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_af0b092df7142aef/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_af0b092df7142aef/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_af0b092df7142aef/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..70b2991312dcd9908745335d565d713bf19b390f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_af0b092df7142aef/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:31:33.536395+00:00",
+  "ended_at": "2026-05-19T15:31:46.648612+00:00",
+  "elapsed_ms": 13112.18,
+  "prompt_metrics": {
+    "chars": 4456,
+    "bytes_utf8": 4456,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 964,
+    "bytes_utf8": 964,
+    "lines": 5,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 281,
+      "bytes_utf8": 281,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13427,
+      "cached_input_tokens": 12032,
+      "output_tokens": 263,
+      "reasoning_output_tokens": 183
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_af0b092df7142aef/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_af0b092df7142aef/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c9bfec25b054b31c560d389b5a5fdece1fe57f31
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_af0b092df7142aef/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_clickbench_group_count",
+    "template_name": "Grouped Count by Category",
+    "primary_family": "subgroup_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=feature_3.",
+  "planned_template_id": "tpl_clickbench_group_count",
+  "bindings": {
+    "group_col": "feature_3",
+    "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": 186.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_af0b092df7142aef/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_af0b092df7142aef/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..43128f968e69294c44f940278990362d80a33e9c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_af0b092df7142aef/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,5 @@
+{"type":"thread.started","thread_id":"019e40dd-1f37-7f81-80c7-2be3b76db83e"}
+{"type":"turn.started"}
+{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 14062. Please try again in 421ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"feature_3\\\", COUNT(*) AS row_count\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_3\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applied the planned grouped-count template with group_col bound to \\\"feature_3\\\" on the single table \\\"n12\\\".\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13427,"cached_input_tokens":12032,"output_tokens":263,"reasoning_output_tokens":183}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_af0b092df7142aef/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_af0b092df7142aef/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d7b886e00e2d6b7157b389b557d2b97dd26c70fe
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_af0b092df7142aef/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"feature_3\", COUNT(*) AS row_count\nFROM \"n12\"\nGROUP BY \"feature_3\"\nORDER BY row_count DESC;","notes":"Applied the planned grouped-count template with group_col bound to \"feature_3\" on the single table \"n12\"."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_af0b092df7142aef/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_af0b092df7142aef/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b2ded85805a8e0d7/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b2ded85805a8e0d7/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..feb3adf484ba0e189fd915633114f6e606940c0a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b2ded85805a8e0d7/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4959, "bytes_utf8": 4959, "lines": 146, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 627, "bytes_utf8": 627, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13576, "cached_input_tokens": 12672, "output_tokens": 565, "reasoning_output_tokens": 378}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b2ded85805a8e0d7/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b2ded85805a8e0d7/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..c1d418af8e23a9f72f6a21d8855ac646e99bd2f5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b2ded85805a8e0d7/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_b2ded85805a8e0d7",
+    "api_calls": 0,
+    "input_tokens": 13576,
+    "cached_input_tokens": 12672,
+    "output_tokens": 565,
+    "total_tokens": 14141,
+    "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": 12691.47,
+    "sql_execution_elapsed_ms_total": 236.29,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b2ded85805a8e0d7/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b2ded85805a8e0d7/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b2ded85805a8e0d7/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..5a377db520cb11fe2025741617ca93a3c3d16b6a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b2ded85805a8e0d7/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:35:36.592361+00:00",
+  "ended_at": "2026-05-19T15:35:49.283856+00:00",
+  "elapsed_ms": 12691.47,
+  "prompt_metrics": {
+    "chars": 4959,
+    "bytes_utf8": 4959,
+    "lines": 146,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1010,
+    "bytes_utf8": 1010,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 627,
+      "bytes_utf8": 627,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13576,
+      "cached_input_tokens": 12672,
+      "output_tokens": 565,
+      "reasoning_output_tokens": 378
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b2ded85805a8e0d7/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b2ded85805a8e0d7/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..46f1a7ef0093573de4d28adfa5a917b116e48174
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b2ded85805a8e0d7/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,146 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "required_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_3, measure_col=feature_1.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "feature_3",
+    "measure_col": "feature_1",
+    "item_col": "feature_2",
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b2ded85805a8e0d7/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b2ded85805a8e0d7/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e3bbfd1e40d4a3589e05a077421cb9c6275bea6a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b2ded85805a8e0d7/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e0-d49e-7202-9662-9f15759597fb"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"feature_3\\\",\\n  \\\"feature_2\\\",\\n  SUM(CAST(\\\"feature_1\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"feature_1\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_1\\\" AS REAL))) OVER (PARTITION BY \\\"feature_3\\\") AS share_within_group\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_3\\\", \\\"feature_2\\\"\\nORDER BY share_within_group DESC\\nLIMIT 10;\",\"notes\":\"Used the planned Within-Group Share of Total template with group_col=\\\"feature_3\\\", item_col=\\\"feature_2\\\", and measure_col=\\\"feature_1\\\". CAST to REAL is applied because the schema stores these numeric-looking fields as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13576,"cached_input_tokens":12672,"output_tokens":565,"reasoning_output_tokens":378}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b2ded85805a8e0d7/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b2ded85805a8e0d7/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..129ffdec4554cd70cc00c3581a963541020177be
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b2ded85805a8e0d7/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n  \"feature_3\",\n  \"feature_2\",\n  SUM(CAST(\"feature_1\" AS REAL)) AS total_measure,\n  SUM(CAST(\"feature_1\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_1\" AS REAL))) OVER (PARTITION BY \"feature_3\") AS share_within_group\nFROM \"n12\"\nGROUP BY \"feature_3\", \"feature_2\"\nORDER BY share_within_group DESC\nLIMIT 10;","notes":"Used the planned Within-Group Share of Total template with group_col=\"feature_3\", item_col=\"feature_2\", and measure_col=\"feature_1\". CAST to REAL is applied because the schema stores these numeric-looking fields as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b2ded85805a8e0d7/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b2ded85805a8e0d7/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b43cae19dcef16f8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b43cae19dcef16f8/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..dc5c964f3772aef8f90dc2c087e771bc942bcf79
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b43cae19dcef16f8/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4728, "bytes_utf8": 4728, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 678, "bytes_utf8": 678, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13494, "cached_input_tokens": 12032, "output_tokens": 2312, "reasoning_output_tokens": 2112}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b43cae19dcef16f8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b43cae19dcef16f8/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..d320e4a77df284565b4b059b91f1ac8c991c86fc
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b43cae19dcef16f8/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_b43cae19dcef16f8",
+    "api_calls": 0,
+    "input_tokens": 13494,
+    "cached_input_tokens": 12032,
+    "output_tokens": 2312,
+    "total_tokens": 15806,
+    "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": 37165.9,
+    "sql_execution_elapsed_ms_total": 367.61,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b43cae19dcef16f8/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b43cae19dcef16f8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b43cae19dcef16f8/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..cbd1b0ea1a347d356907ab0f7152665bd24a4189
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b43cae19dcef16f8/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:48:53.696343+00:00",
+  "ended_at": "2026-05-19T15:49:30.862268+00:00",
+  "elapsed_ms": 37165.9,
+  "prompt_metrics": {
+    "chars": 4728,
+    "bytes_utf8": 4728,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1083,
+    "bytes_utf8": 1083,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 678,
+      "bytes_utf8": 678,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13494,
+      "cached_input_tokens": 12032,
+      "output_tokens": 2312,
+      "reasoning_output_tokens": 2112
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b43cae19dcef16f8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b43cae19dcef16f8/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1564a1f34f05da46804972bd7478287421e8ed7d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b43cae19dcef16f8/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=feature_1, measure_col=feature_2.",
+  "planned_template_id": "tpl_grouped_percentile_point",
+  "bindings": {
+    "group_col": "feature_1",
+    "measure_col": "feature_2",
+    "top_k": 18,
+    "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": 104.84,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b43cae19dcef16f8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b43cae19dcef16f8/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..22c2618804b00ac6009a27bfc338d180406405f9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b43cae19dcef16f8/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40ec-fe42-7651-a57c-6c23bc4470a6"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n  SELECT\\n    \\\"feature_1\\\",\\n    CAST(\\\"feature_2\\\" AS REAL) AS \\\"measure_value\\\",\\n    CUME_DIST() OVER (\\n      PARTITION BY \\\"feature_1\\\"\\n      ORDER BY CAST(\\\"feature_2\\\" AS REAL)\\n    ) AS \\\"cum_dist\\\"\\n  FROM \\\"n12\\\"\\n)\\nSELECT\\n  \\\"feature_1\\\",\\n  MIN(\\\"measure_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cum_dist\\\" >= 0.9\\nGROUP BY \\\"feature_1\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite lacks PERCENTILE_CONT, so this uses a SQLite-compatible discrete 90th-percentile proxy via CUME_DIST and casts the text-typed measure column to REAL for numeric ordering.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13494,"cached_input_tokens":12032,"output_tokens":2312,"reasoning_output_tokens":2112}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b43cae19dcef16f8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b43cae19dcef16f8/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..ea57795e605a764a9050fa2284bbd4a5ffd83045
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b43cae19dcef16f8/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n  SELECT\n    \"feature_1\",\n    CAST(\"feature_2\" AS REAL) AS \"measure_value\",\n    CUME_DIST() OVER (\n      PARTITION BY \"feature_1\"\n      ORDER BY CAST(\"feature_2\" AS REAL)\n    ) AS \"cum_dist\"\n  FROM \"n12\"\n)\nSELECT\n  \"feature_1\",\n  MIN(\"measure_value\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"cum_dist\" >= 0.9\nGROUP BY \"feature_1\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite lacks PERCENTILE_CONT, so this uses a SQLite-compatible discrete 90th-percentile proxy via CUME_DIST and casts the text-typed measure column to REAL for numeric ordering."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b43cae19dcef16f8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b43cae19dcef16f8/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b4697e766cf36b06/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b4697e766cf36b06/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..41c968e2f3a0a90164dc88c32ca5cf98ffa2c9f3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b4697e766cf36b06/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4548, "bytes_utf8": 4548, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 377, "bytes_utf8": 377, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13456, "cached_input_tokens": 4480, "output_tokens": 364, "reasoning_output_tokens": 260}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b4697e766cf36b06/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b4697e766cf36b06/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..0954300b6b95951b28a6b55439d242417ceb18e8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b4697e766cf36b06/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_b4697e766cf36b06",
+    "api_calls": 0,
+    "input_tokens": 13456,
+    "cached_input_tokens": 4480,
+    "output_tokens": 364,
+    "total_tokens": 13820,
+    "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": 9911.71,
+    "sql_execution_elapsed_ms_total": 106.78,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b4697e766cf36b06/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b4697e766cf36b06/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b4697e766cf36b06/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..c23bdca2d182b6d0bb5e02e502fae80cee7e9ddc
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b4697e766cf36b06/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:28:17.965225+00:00",
+  "ended_at": "2026-05-19T15:28:27.876962+00:00",
+  "elapsed_ms": 9911.71,
+  "prompt_metrics": {
+    "chars": 4548,
+    "bytes_utf8": 4548,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 730,
+    "bytes_utf8": 730,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 377,
+      "bytes_utf8": 377,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13456,
+      "cached_input_tokens": 4480,
+      "output_tokens": 364,
+      "reasoning_output_tokens": 260
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b4697e766cf36b06/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b4697e766cf36b06/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..424ca47ed2c01d0286e3b3a5c94e3a737e22541d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b4697e766cf36b06/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_1, measure_col=feature_1.",
+  "planned_template_id": "tpl_h2o_group_sum",
+  "bindings": {
+    "group_col": "feature_1",
+    "measure_col": "feature_1",
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b4697e766cf36b06/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b4697e766cf36b06/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..24eda571b71b09efb5049db00888be7bd5fe21c4
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b4697e766cf36b06/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40da-2334-7790-bfa6-a0d56c9d5fd1"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_1\\\", SUM(CAST(\\\"feature_1\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_1\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the planned Grouped Numeric Sum template with group_col=\\\"feature_1\\\" and measure_col=\\\"feature_1\\\". CAST is applied because the schema stores numeric-looking values as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13456,"cached_input_tokens":4480,"output_tokens":364,"reasoning_output_tokens":260}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b4697e766cf36b06/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b4697e766cf36b06/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d6bbdd58c5c3fd303203e70d44f856ae88276e18
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b4697e766cf36b06/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"feature_1\", SUM(CAST(\"feature_1\" AS NUMERIC)) AS total_measure\nFROM \"n12\"\nGROUP BY \"feature_1\"\nORDER BY total_measure DESC;","notes":"Uses the planned Grouped Numeric Sum template with group_col=\"feature_1\" and measure_col=\"feature_1\". CAST is applied because the schema stores numeric-looking values as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b4697e766cf36b06/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b4697e766cf36b06/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b570ed79a8fcba38/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b570ed79a8fcba38/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..296dc8ae58dc9332d8fe6bd0f67b1e50870afdcb
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b570ed79a8fcba38/cli/conversation.jsonl
@@ -0,0 +1,4 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4635, "bytes_utf8": 4635, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "}
+{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 4635, "bytes_utf8": 4635, "lines": 144, "estimated_tokens": null}}
+{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 445, "bytes_utf8": 445, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13467, "cached_input_tokens": 12672, "output_tokens": 632, "reasoning_output_tokens": 516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b570ed79a8fcba38/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b570ed79a8fcba38/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..7273a39de7ccc453ce971df0ec8c333298f1f359
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b570ed79a8fcba38/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 2,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_b570ed79a8fcba38",
+    "api_calls": 0,
+    "input_tokens": 13467,
+    "cached_input_tokens": 12672,
+    "output_tokens": 632,
+    "total_tokens": 14099,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 2,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 16273.27,
+    "sql_execution_elapsed_ms_total": 381.06,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b570ed79a8fcba38/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b570ed79a8fcba38/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b570ed79a8fcba38/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..18426d30e731039a2d86a4ae838dd5b06b61607b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b570ed79a8fcba38/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:59:03.547844+00:00",
+  "ended_at": "2026-05-19T15:59:06.773279+00:00",
+  "elapsed_ms": 3225.41,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4635,
+    "bytes_utf8": 4635,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b570ed79a8fcba38/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b570ed79a8fcba38/cli/sql_attempt_2.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..f2c04ad961a1fc6b5cccaf15b7da4e3051a17cea
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b570ed79a8fcba38/cli/sql_attempt_2.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:59:07.775206+00:00",
+  "ended_at": "2026-05-19T15:59:20.823110+00:00",
+  "elapsed_ms": 13047.86,
+  "prompt_metrics": {
+    "chars": 4635,
+    "bytes_utf8": 4635,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 800,
+    "bytes_utf8": 800,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 445,
+      "bytes_utf8": 445,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13467,
+      "cached_input_tokens": 12672,
+      "output_tokens": 632,
+      "reasoning_output_tokens": 516
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b570ed79a8fcba38/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b570ed79a8fcba38/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a15fcc7d95a50b905a29576b0584d89a7e5f69e7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b570ed79a8fcba38/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=feature_2, measure_col=feature_2.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "feature_2",
+    "measure_col": "feature_2",
+    "top_k": 18,
+    "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": 104.84,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b570ed79a8fcba38/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b570ed79a8fcba38/cli/sql_prompt_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a15fcc7d95a50b905a29576b0584d89a7e5f69e7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b570ed79a8fcba38/cli/sql_prompt_attempt_2.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=feature_2, measure_col=feature_2.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "feature_2",
+    "measure_col": "feature_2",
+    "top_k": 18,
+    "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": 104.84,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b570ed79a8fcba38/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b570ed79a8fcba38/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a79c2948b9e67365913b880fee7b96f26b60dcaf
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b570ed79a8fcba38/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f6-4ca2-71c2-bd8c-062e1971db4c"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b570ed79a8fcba38/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b570ed79a8fcba38/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..fa23c08a91ba3130ecf33b26f1b2da1b72ecdbf5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b570ed79a8fcba38/cli/sql_response_attempt_1.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f6-4ca2-71c2-bd8c-062e1971db4c"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b570ed79a8fcba38/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b570ed79a8fcba38/cli/sql_response_attempt_2.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..ce2110494f1747758e18a738c6ff7c65c8ebea9f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b570ed79a8fcba38/cli/sql_response_attempt_2.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f6-5d10-75e0-ba6f-478b167738af"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"feature_2\\\",\\n       AVG(CAST(\\\"feature_2\\\" AS REAL)) OVER (PARTITION BY \\\"feature_2\\\") AS avg_measure\\nFROM \\\"n12\\\"\\nWHERE \\\"feature_2\\\" IS NOT NULL\\nORDER BY avg_measure DESC;\",\"notes\":\"Uses the Window Partition Average template with group_col and measure_col both bound to \\\"feature_2\\\". CAST is added because the schema stores numeric-looking values as TEXT in SQLite.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13467,"cached_input_tokens":12672,"output_tokens":632,"reasoning_output_tokens":516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b570ed79a8fcba38/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b570ed79a8fcba38/cli/sql_response_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..da1a0972de8f3c4b0c767e4986356438dd22db9c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b570ed79a8fcba38/cli/sql_response_attempt_2.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"feature_2\",\n       AVG(CAST(\"feature_2\" AS REAL)) OVER (PARTITION BY \"feature_2\") AS avg_measure\nFROM \"n12\"\nWHERE \"feature_2\" IS NOT NULL\nORDER BY avg_measure DESC;","notes":"Uses the Window Partition Average template with group_col and measure_col both bound to \"feature_2\". CAST is added because the schema stores numeric-looking values as TEXT in SQLite."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b570ed79a8fcba38/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b570ed79a8fcba38/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b570ed79a8fcba38/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b570ed79a8fcba38/cli/sql_stderr_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b62717722b961728/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b62717722b961728/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..e2454237095ed12eeb7ed9cdaa33d6947626bed1
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b62717722b961728/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4548, "bytes_utf8": 4548, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 406, "bytes_utf8": 406, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13456, "cached_input_tokens": 12288, "output_tokens": 367, "reasoning_output_tokens": 258}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b62717722b961728/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b62717722b961728/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..513c176fcb93748ab90cd463ec10bf299f045055
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b62717722b961728/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_b62717722b961728",
+    "api_calls": 0,
+    "input_tokens": 13456,
+    "cached_input_tokens": 12288,
+    "output_tokens": 367,
+    "total_tokens": 13823,
+    "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": 10235.92,
+    "sql_execution_elapsed_ms_total": 118.73,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b62717722b961728/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b62717722b961728/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b62717722b961728/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..68a0a1c1406e5a76669a41dc11d6131119518a7e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b62717722b961728/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:30:41.754124+00:00",
+  "ended_at": "2026-05-19T15:30:51.990068+00:00",
+  "elapsed_ms": 10235.92,
+  "prompt_metrics": {
+    "chars": 4548,
+    "bytes_utf8": 4548,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 760,
+    "bytes_utf8": 760,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 406,
+      "bytes_utf8": 406,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13456,
+      "cached_input_tokens": 12288,
+      "output_tokens": 367,
+      "reasoning_output_tokens": 258
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b62717722b961728/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b62717722b961728/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..61141d3265545f8ee6bc9ebd30af9ec62cb099b0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b62717722b961728/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_3, measure_col=feature_1.",
+  "planned_template_id": "tpl_h2o_group_sum",
+  "bindings": {
+    "group_col": "feature_3",
+    "measure_col": "feature_1",
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b62717722b961728/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b62717722b961728/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6d01703f8aca88646f05db9a2812a43385cd4818
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b62717722b961728/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40dc-54e9-7f52-a8aa-4dfd3c43a238"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_3\\\", SUM(CAST(\\\"feature_1\\\" AS INTEGER)) AS total_measure\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_3\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the provided Grouped Numeric Sum template with group_col bound to \\\"feature_3\\\" and measure_col bound to \\\"feature_1\\\". CAST is applied because the schema stores numeric-looking fields as TEXT in SQLite.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13456,"cached_input_tokens":12288,"output_tokens":367,"reasoning_output_tokens":258}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b62717722b961728/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b62717722b961728/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d46b087b5f6fbbd3af720be042ad8e09f7b54f2f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b62717722b961728/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"feature_3\", SUM(CAST(\"feature_1\" AS INTEGER)) AS total_measure\nFROM \"n12\"\nGROUP BY \"feature_3\"\nORDER BY total_measure DESC;","notes":"Uses the provided Grouped Numeric Sum template with group_col bound to \"feature_3\" and measure_col bound to \"feature_1\". CAST is applied because the schema stores numeric-looking fields as TEXT in SQLite."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b62717722b961728/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b62717722b961728/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b9c691a810178daa/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b9c691a810178daa/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..3c5bca3258edee92833d1fece8ecb3139f9e0346
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b9c691a810178daa/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4548, "bytes_utf8": 4548, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 391, "bytes_utf8": 391, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13456, "cached_input_tokens": 12032, "output_tokens": 550, "reasoning_output_tokens": 438}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b9c691a810178daa/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b9c691a810178daa/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..b669b4fe1c52455f2f282e4405eae1fe29fabd3e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b9c691a810178daa/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_b9c691a810178daa",
+    "api_calls": 0,
+    "input_tokens": 13456,
+    "cached_input_tokens": 12032,
+    "output_tokens": 550,
+    "total_tokens": 14006,
+    "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": 12767.48,
+    "sql_execution_elapsed_ms_total": 104.8,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b9c691a810178daa/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b9c691a810178daa/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b9c691a810178daa/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..37ae6bc7b51255620f77e75891fa00f30c40db6f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b9c691a810178daa/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:28:56.927903+00:00",
+  "ended_at": "2026-05-19T15:29:09.695407+00:00",
+  "elapsed_ms": 12767.48,
+  "prompt_metrics": {
+    "chars": 4548,
+    "bytes_utf8": 4548,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 755,
+    "bytes_utf8": 755,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 391,
+      "bytes_utf8": 391,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13456,
+      "cached_input_tokens": 12032,
+      "output_tokens": 550,
+      "reasoning_output_tokens": 438
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b9c691a810178daa/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b9c691a810178daa/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..addcbe7047c27598da23ec005900dfffc4f50a58
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b9c691a810178daa/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_3, measure_col=feature_3.",
+  "planned_template_id": "tpl_h2o_group_sum",
+  "bindings": {
+    "group_col": "feature_3",
+    "measure_col": "feature_3",
+    "top_k": 12,
+    "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": 186.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b9c691a810178daa/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b9c691a810178daa/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8195c66d5376631b403c9c2aa2ae253b4fd1b6da
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b9c691a810178daa/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40da-bb70-7a81-9747-bb36eb5164dd"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT\\n  \\\"feature_3\\\",\\n  SUM(CAST(\\\"feature_3\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_3\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the provided Grouped Numeric Sum template with group_col=\\\"feature_3\\\" and measure_col=\\\"feature_3\\\". CAST to REAL is included because the schema stores feature columns as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13456,"cached_input_tokens":12032,"output_tokens":550,"reasoning_output_tokens":438}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b9c691a810178daa/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b9c691a810178daa/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a6783c7043b34d00f15588ecf53194bb7f5685e6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b9c691a810178daa/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT\n  \"feature_3\",\n  SUM(CAST(\"feature_3\" AS REAL)) AS \"total_measure\"\nFROM \"n12\"\nGROUP BY \"feature_3\"\nORDER BY \"total_measure\" DESC;","notes":"Used the provided Grouped Numeric Sum template with group_col=\"feature_3\" and measure_col=\"feature_3\". CAST to REAL is included because the schema stores feature columns as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b9c691a810178daa/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_b9c691a810178daa/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_bb76a09c7aaa466e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_bb76a09c7aaa466e/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..b179dd404388f89e0f3def59ede4561201e125de
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_bb76a09c7aaa466e/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5106, "bytes_utf8": 5106, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 636, "bytes_utf8": 636, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13594, "cached_input_tokens": 12672, "output_tokens": 446, "reasoning_output_tokens": 274}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_bb76a09c7aaa466e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_bb76a09c7aaa466e/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..0b97ae97d314f5a64b32865b17d17004b0f48f9d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_bb76a09c7aaa466e/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_bb76a09c7aaa466e",
+    "api_calls": 0,
+    "input_tokens": 13594,
+    "cached_input_tokens": 12672,
+    "output_tokens": 446,
+    "total_tokens": 14040,
+    "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": 10250.23,
+    "sql_execution_elapsed_ms_total": 104.53,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_bb76a09c7aaa466e/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_bb76a09c7aaa466e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_bb76a09c7aaa466e/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..0952137d1ef6d1241106de07e1d9b1760c7991f9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_bb76a09c7aaa466e/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:41:30.926687+00:00",
+  "ended_at": "2026-05-19T15:41:41.176945+00:00",
+  "elapsed_ms": 10250.23,
+  "prompt_metrics": {
+    "chars": 5106,
+    "bytes_utf8": 5106,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1003,
+    "bytes_utf8": 1003,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 636,
+      "bytes_utf8": 636,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13594,
+      "cached_input_tokens": 12672,
+      "output_tokens": 446,
+      "reasoning_output_tokens": 274
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_bb76a09c7aaa466e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_bb76a09c7aaa466e/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d689f2c39a820cd3ce05e3b8200188bae4451ff1
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_bb76a09c7aaa466e/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "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;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=feature_1, measure_col=feature_1.",
+  "planned_template_id": "tpl_tpch_relative_total_threshold",
+  "bindings": {
+    "group_col": "feature_1",
+    "measure_col": "feature_1",
+    "top_k": 17,
+    "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": 100.24,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, 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;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_bb76a09c7aaa466e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_bb76a09c7aaa466e/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b0c164ea01d0871319352ab094d5fa634e2fcc99
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_bb76a09c7aaa466e/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e6-3ca7-7b31-aeb2-54fb72407112"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT \\\"feature_1\\\", SUM(CAST(\\\"feature_1\\\" AS REAL)) AS group_value\\n    FROM \\\"n12\\\"\\n    GROUP BY \\\"feature_1\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT g.\\\"feature_1\\\", 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 requested Relative-to-Total Extreme Threshold template with group_col=\\\"feature_1\\\" and measure_col=\\\"feature_1\\\". CAST to REAL is used because the schema stores features as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13594,"cached_input_tokens":12672,"output_tokens":446,"reasoning_output_tokens":274}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_bb76a09c7aaa466e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_bb76a09c7aaa466e/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6fcce162ff82b2254db2770c26379cf424d88e4e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_bb76a09c7aaa466e/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n    SELECT \"feature_1\", SUM(CAST(\"feature_1\" AS REAL)) AS group_value\n    FROM \"n12\"\n    GROUP BY \"feature_1\"\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.\"feature_1\", 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 requested Relative-to-Total Extreme Threshold template with group_col=\"feature_1\" and measure_col=\"feature_1\". CAST to REAL is used because the schema stores features as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_bb76a09c7aaa466e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_bb76a09c7aaa466e/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c55361e6a18b97f4/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c55361e6a18b97f4/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..b5b4f636b4a182bc26b6e6e9c545dc8942d78756
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c55361e6a18b97f4/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4948, "bytes_utf8": 4948, "lines": 146, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 588, "bytes_utf8": 588, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13571, "cached_input_tokens": 12672, "output_tokens": 553, "reasoning_output_tokens": 385}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c55361e6a18b97f4/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c55361e6a18b97f4/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..f1f0dbf6d4a7d72ceb5d213bb8cbbd6af2c5bfe5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c55361e6a18b97f4/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_c55361e6a18b97f4",
+    "api_calls": 0,
+    "input_tokens": 13571,
+    "cached_input_tokens": 12672,
+    "output_tokens": 553,
+    "total_tokens": 14124,
+    "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": 11862.76,
+    "sql_execution_elapsed_ms_total": 195.42,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c55361e6a18b97f4/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c55361e6a18b97f4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c55361e6a18b97f4/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..541be534ced44cddbd747f6d86d950e57afd4896
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c55361e6a18b97f4/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:36:03.810267+00:00",
+  "ended_at": "2026-05-19T15:36:15.673050+00:00",
+  "elapsed_ms": 11862.76,
+  "prompt_metrics": {
+    "chars": 4948,
+    "bytes_utf8": 4948,
+    "lines": 146,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 968,
+    "bytes_utf8": 968,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 588,
+      "bytes_utf8": 588,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13571,
+      "cached_input_tokens": 12672,
+      "output_tokens": 553,
+      "reasoning_output_tokens": 385
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c55361e6a18b97f4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c55361e6a18b97f4/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..42666e7252027a785df09899df81c5c8c98ef14d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c55361e6a18b97f4/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,146 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "required_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=target, measure_col=feature_2.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "target",
+    "measure_col": "feature_2",
+    "item_col": "feature_3",
+    "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": 116.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c55361e6a18b97f4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c55361e6a18b97f4/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d9f5fc03107a9d6367e4f32a4fb5e9a21232bd55
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c55361e6a18b97f4/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e1-3f00-7562-b166-88fa32f75c43"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"target\\\", \\\"feature_3\\\",\\n       SUM(CAST(\\\"feature_2\\\" AS REAL)) AS total_measure,\\n       SUM(CAST(\\\"feature_2\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_2\\\" AS REAL))) OVER (PARTITION BY \\\"target\\\") AS share_within_group\\nFROM \\\"n12\\\"\\nGROUP BY \\\"target\\\", \\\"feature_3\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"target\\\", item_col=\\\"feature_3\\\", and measure_col=\\\"feature_2\\\". CAST to REAL is used because the schema stores feature columns as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13571,"cached_input_tokens":12672,"output_tokens":553,"reasoning_output_tokens":385}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c55361e6a18b97f4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c55361e6a18b97f4/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..46dea265de537ebdce5067844187f48c2a09cb73
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c55361e6a18b97f4/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"target\", \"feature_3\",\n       SUM(CAST(\"feature_2\" AS REAL)) AS total_measure,\n       SUM(CAST(\"feature_2\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_2\" AS REAL))) OVER (PARTITION BY \"target\") AS share_within_group\nFROM \"n12\"\nGROUP BY \"target\", \"feature_3\"\nORDER BY share_within_group DESC;","notes":"Applied the Within-Group Share of Total template with group_col=\"target\", item_col=\"feature_3\", and measure_col=\"feature_2\". CAST to REAL is used because the schema stores feature columns as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c55361e6a18b97f4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c55361e6a18b97f4/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c728e2027d7ed55b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c728e2027d7ed55b/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..4854fdd5bafc883dfd80fa7c32d10a7d3500a2b5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c728e2027d7ed55b/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:59:40.848923+00:00",
+  "ended_at": "2026-05-19T15:59:45.226442+00:00",
+  "elapsed_ms": 4377.49,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4623,
+    "bytes_utf8": 4623,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c728e2027d7ed55b/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c728e2027d7ed55b/cli/sql_attempt_2.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..1a94e84bb808822c33244b5892d3507d7a69584e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c728e2027d7ed55b/cli/sql_attempt_2.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:59:46.228592+00:00",
+  "ended_at": "2026-05-19T15:59:49.503907+00:00",
+  "elapsed_ms": 3275.26,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4623,
+    "bytes_utf8": 4623,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c728e2027d7ed55b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c728e2027d7ed55b/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2dd20e41d00394aac96b598daae7de4c365e2a3a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c728e2027d7ed55b/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=target, measure_col=feature_1.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "target",
+    "measure_col": "feature_1",
+    "top_k": 10,
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c728e2027d7ed55b/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c728e2027d7ed55b/cli/sql_prompt_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2dd20e41d00394aac96b598daae7de4c365e2a3a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c728e2027d7ed55b/cli/sql_prompt_attempt_2.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=target, measure_col=feature_1.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "target",
+    "measure_col": "feature_1",
+    "top_k": 10,
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c728e2027d7ed55b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c728e2027d7ed55b/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2bd091a0d998af7e56b44875db231fb8c40a4423
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c728e2027d7ed55b/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f6-de22-7c31-b15d-8536eafc24b0"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c728e2027d7ed55b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c728e2027d7ed55b/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b89a7422203f2f4af152b2cb43c10878b7ca2021
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c728e2027d7ed55b/cli/sql_response_attempt_1.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f6-de22-7c31-b15d-8536eafc24b0"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c728e2027d7ed55b/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c728e2027d7ed55b/cli/sql_response_attempt_2.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..82c7b668d3d9c49b351fb8f59275516318e4173f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c728e2027d7ed55b/cli/sql_response_attempt_2.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f6-f349-7183-87d4-542be9d8070f"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c728e2027d7ed55b/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c728e2027d7ed55b/cli/sql_response_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..358487807ae90b37d1e010afdbfde3b0aee227d2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c728e2027d7ed55b/cli/sql_response_attempt_2.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f6-f349-7183-87d4-542be9d8070f"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c728e2027d7ed55b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c728e2027d7ed55b/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c728e2027d7ed55b/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c728e2027d7ed55b/cli/sql_stderr_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c79fa10c7a03bfe4/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c79fa10c7a03bfe4/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..8073b2b65c58e59ee83b940800300527d2749750
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c79fa10c7a03bfe4/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4959, "bytes_utf8": 4959, "lines": 146, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 620, "bytes_utf8": 620, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13576, "cached_input_tokens": 12672, "output_tokens": 703, "reasoning_output_tokens": 516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c79fa10c7a03bfe4/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c79fa10c7a03bfe4/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..bdb8bf12abfb309b1a1e3a1ac89ba2fb57ba238e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c79fa10c7a03bfe4/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_c79fa10c7a03bfe4",
+    "api_calls": 0,
+    "input_tokens": 13576,
+    "cached_input_tokens": 12672,
+    "output_tokens": 703,
+    "total_tokens": 14279,
+    "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": 16446.21,
+    "sql_execution_elapsed_ms_total": 234.36,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c79fa10c7a03bfe4/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c79fa10c7a03bfe4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c79fa10c7a03bfe4/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..811a665e40cd7644f1f140b5d1ef0075e9299012
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c79fa10c7a03bfe4/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:32:35.910130+00:00",
+  "ended_at": "2026-05-19T15:32:52.356382+00:00",
+  "elapsed_ms": 16446.21,
+  "prompt_metrics": {
+    "chars": 4959,
+    "bytes_utf8": 4959,
+    "lines": 146,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1006,
+    "bytes_utf8": 1006,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 620,
+      "bytes_utf8": 620,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13576,
+      "cached_input_tokens": 12672,
+      "output_tokens": 703,
+      "reasoning_output_tokens": 516
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c79fa10c7a03bfe4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c79fa10c7a03bfe4/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2efbb324d928716ac91b610bb42da556287bd334
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c79fa10c7a03bfe4/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,146 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "required_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_1, measure_col=feature_1.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "feature_1",
+    "measure_col": "feature_1",
+    "item_col": "feature_2",
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c79fa10c7a03bfe4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c79fa10c7a03bfe4/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..018c29eb4b78eb50b7b74f716eeaee97fc657169
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c79fa10c7a03bfe4/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40de-12c2-7fd2-8867-0c8b27d823dc"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"feature_1\\\",\\n  \\\"feature_2\\\",\\n  SUM(CAST(\\\"feature_1\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"feature_1\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_1\\\" AS REAL))) OVER (PARTITION BY \\\"feature_1\\\") AS share_within_group\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_1\\\", \\\"feature_2\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"feature_1\\\", item_col=\\\"feature_2\\\", and measure_col=\\\"feature_1\\\". Casts \\\"feature_1\\\" to REAL because the schema stores numeric-looking values as TEXT in SQLite.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13576,"cached_input_tokens":12672,"output_tokens":703,"reasoning_output_tokens":516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c79fa10c7a03bfe4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c79fa10c7a03bfe4/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..884d1f0ff9225ee5b53690bd8054237830881c18
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c79fa10c7a03bfe4/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n  \"feature_1\",\n  \"feature_2\",\n  SUM(CAST(\"feature_1\" AS REAL)) AS total_measure,\n  SUM(CAST(\"feature_1\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_1\" AS REAL))) OVER (PARTITION BY \"feature_1\") AS share_within_group\nFROM \"n12\"\nGROUP BY \"feature_1\", \"feature_2\"\nORDER BY share_within_group DESC;","notes":"Applied the Within-Group Share of Total template with group_col=\"feature_1\", item_col=\"feature_2\", and measure_col=\"feature_1\". Casts \"feature_1\" to REAL because the schema stores numeric-looking values as TEXT in SQLite."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c79fa10c7a03bfe4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c79fa10c7a03bfe4/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c9f36e764c13a235/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c9f36e764c13a235/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..0d29853befdbb801f0e7d90bc984a09a49872b9b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c9f36e764c13a235/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5103, "bytes_utf8": 5103, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 613, "bytes_utf8": 613, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13594, "cached_input_tokens": 12032, "output_tokens": 571, "reasoning_output_tokens": 401}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c9f36e764c13a235/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c9f36e764c13a235/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..c7d88e814180784d50472e3d534b822272e4cb80
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c9f36e764c13a235/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_c9f36e764c13a235",
+    "api_calls": 0,
+    "input_tokens": 13594,
+    "cached_input_tokens": 12032,
+    "output_tokens": 571,
+    "total_tokens": 14165,
+    "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": 14326.15,
+    "sql_execution_elapsed_ms_total": 121.07,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c9f36e764c13a235/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c9f36e764c13a235/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c9f36e764c13a235/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..93d767dcee0f3d680a9157d546001955b9bd495c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c9f36e764c13a235/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:41:41.287967+00:00",
+  "ended_at": "2026-05-19T15:41:55.614144+00:00",
+  "elapsed_ms": 14326.15,
+  "prompt_metrics": {
+    "chars": 5103,
+    "bytes_utf8": 5103,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 980,
+    "bytes_utf8": 980,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 613,
+      "bytes_utf8": 613,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13594,
+      "cached_input_tokens": 12032,
+      "output_tokens": 571,
+      "reasoning_output_tokens": 401
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c9f36e764c13a235/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c9f36e764c13a235/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1040687b248ad1ce801c4afb22a1261b75829f71
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c9f36e764c13a235/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "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;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=feature_2, measure_col=feature_2.",
+  "planned_template_id": "tpl_tpch_relative_total_threshold",
+  "bindings": {
+    "group_col": "feature_2",
+    "measure_col": "feature_2",
+    "top_k": 13,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 116.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, 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;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c9f36e764c13a235/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c9f36e764c13a235/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3874306f6f9c9ab012caa2af00c0663324c97a0f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c9f36e764c13a235/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e6-6531-7fa2-a28e-bc65b38dc3c9"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n  SELECT \\\"feature_2\\\", SUM(CAST(\\\"feature_2\\\" AS REAL)) AS group_value\\n  FROM \\\"n12\\\"\\n  GROUP BY \\\"feature_2\\\"\\n), total AS (\\n  SELECT SUM(group_value) AS total_value\\n  FROM grouped\\n)\\nSELECT g.\\\"feature_2\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the specified template with group_col=\\\"feature_2\\\" and measure_col=\\\"feature_2\\\". CAST to REAL is used because the schema stores numeric-looking fields as TEXT in SQLite.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13594,"cached_input_tokens":12032,"output_tokens":571,"reasoning_output_tokens":401}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c9f36e764c13a235/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c9f36e764c13a235/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..306b0989f99b7e6dcb149fd00c595c65b04b2acf
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c9f36e764c13a235/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n  SELECT \"feature_2\", SUM(CAST(\"feature_2\" AS REAL)) AS group_value\n  FROM \"n12\"\n  GROUP BY \"feature_2\"\n), total AS (\n  SELECT SUM(group_value) AS total_value\n  FROM grouped\n)\nSELECT g.\"feature_2\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Applied the specified template with group_col=\"feature_2\" and measure_col=\"feature_2\". CAST to REAL is used because the schema stores numeric-looking fields as TEXT in SQLite."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c9f36e764c13a235/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_c9f36e764c13a235/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cacbd792eecfb8f2/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cacbd792eecfb8f2/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..b95539663c365c01ab0d2e0c7325746cb198cd9e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cacbd792eecfb8f2/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4727, "bytes_utf8": 4727, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1776, "bytes_utf8": 1776, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13494, "cached_input_tokens": 12672, "output_tokens": 2497, "reasoning_output_tokens": 1887}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cacbd792eecfb8f2/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cacbd792eecfb8f2/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..a35689cd769d69f60b3e682722cd919a078c36e0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cacbd792eecfb8f2/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_cacbd792eecfb8f2",
+    "api_calls": 0,
+    "input_tokens": 13494,
+    "cached_input_tokens": 12672,
+    "output_tokens": 2497,
+    "total_tokens": 15991,
+    "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": 39279.11,
+    "sql_execution_elapsed_ms_total": 931.94,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cacbd792eecfb8f2/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cacbd792eecfb8f2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cacbd792eecfb8f2/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..b25e8a83091cfa615fa7f19cfdebfba53c824f62
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cacbd792eecfb8f2/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:48:13.472523+00:00",
+  "ended_at": "2026-05-19T15:48:52.751660+00:00",
+  "elapsed_ms": 39279.11,
+  "prompt_metrics": {
+    "chars": 4727,
+    "bytes_utf8": 4727,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 2373,
+    "bytes_utf8": 2373,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 1776,
+      "bytes_utf8": 1776,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13494,
+      "cached_input_tokens": 12672,
+      "output_tokens": 2497,
+      "reasoning_output_tokens": 1887
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cacbd792eecfb8f2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cacbd792eecfb8f2/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..13aecfa99ae3c18f4a6f213de1f751f0b0b2a6e3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cacbd792eecfb8f2/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=feature_1, measure_col=feature_2.",
+  "planned_template_id": "tpl_grouped_percentile_point",
+  "bindings": {
+    "group_col": "feature_1",
+    "measure_col": "feature_2",
+    "top_k": 13,
+    "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": 116.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cacbd792eecfb8f2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cacbd792eecfb8f2/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..715af603e16ae3330f62c989950fd574d7714178
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cacbd792eecfb8f2/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40ec-6136-7d61-9acd-da9f21872e0d"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n  SELECT\\n    \\\"feature_1\\\" AS \\\"group_col\\\",\\n    CAST(\\\"feature_2\\\" AS REAL) AS \\\"measure_val\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY \\\"feature_1\\\"\\n      ORDER BY CAST(\\\"feature_2\\\" AS REAL)\\n    ) AS \\\"rn\\\",\\n    COUNT(*) OVER (PARTITION BY \\\"feature_1\\\") AS \\\"cnt\\\"\\n  FROM \\\"n12\\\"\\n),\\n\\\"bounds\\\" AS (\\n  SELECT DISTINCT\\n    \\\"group_col\\\",\\n    (1.0 + (\\\"cnt\\\" - 1) * 0.95) AS \\\"pos\\\",\\n    CAST(1.0 + (\\\"cnt\\\" - 1) * 0.95 AS INTEGER) AS \\\"lower_rn\\\",\\n    CAST(1.0 + (\\\"cnt\\\" - 1) * 0.95 AS INTEGER)\\n      + ((1.0 + (\\\"cnt\\\" - 1) * 0.95) > CAST(1.0 + (\\\"cnt\\\" - 1) * 0.95 AS INTEGER)) AS \\\"upper_rn\\\",\\n    (1.0 + (\\\"cnt\\\" - 1) * 0.95) - CAST(1.0 + (\\\"cnt\\\" - 1) * 0.95 AS INTEGER) AS \\\"frac\\\"\\n  FROM \\\"ranked\\\"\\n),\\n\\\"picked\\\" AS (\\n  SELECT\\n    r.\\\"group_col\\\",\\n    b.\\\"frac\\\",\\n    MAX(CASE WHEN r.\\\"rn\\\" = b.\\\"lower_rn\\\" THEN r.\\\"measure_val\\\" END) AS \\\"lower_val\\\",\\n    MAX(CASE WHEN r.\\\"rn\\\" = b.\\\"upper_rn\\\" THEN r.\\\"measure_val\\\" END) AS \\\"upper_val\\\"\\n  FROM \\\"ranked\\\" AS r\\n  JOIN \\\"bounds\\\" AS b\\n    ON r.\\\"group_col\\\" = b.\\\"group_col\\\"\\n  GROUP BY r.\\\"group_col\\\", b.\\\"frac\\\"\\n)\\nSELECT\\n  \\\"group_col\\\" AS \\\"feature_1\\\",\\n  CASE\\n    WHEN \\\"lower_val\\\" IS NULL THEN NULL\\n    WHEN \\\"upper_val\\\" IS NULL THEN \\\"lower_val\\\"\\n    ELSE \\\"lower_val\\\" + \\\"frac\\\" * (\\\"upper_val\\\" - \\\"lower_val\\\")\\n  END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this emulates the 0.95 continuous percentile for each \\\"feature_1\\\" group using window ranks and linear interpolation over CAST(\\\"feature_2\\\" AS REAL). No target filter was specified, so the calculation uses all rows in \\\"n12\\\".\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13494,"cached_input_tokens":12672,"output_tokens":2497,"reasoning_output_tokens":1887}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cacbd792eecfb8f2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cacbd792eecfb8f2/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..5830f3bd6a5ff15c78cf50e6af2daf15dff99554
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cacbd792eecfb8f2/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n  SELECT\n    \"feature_1\" AS \"group_col\",\n    CAST(\"feature_2\" AS REAL) AS \"measure_val\",\n    ROW_NUMBER() OVER (\n      PARTITION BY \"feature_1\"\n      ORDER BY CAST(\"feature_2\" AS REAL)\n    ) AS \"rn\",\n    COUNT(*) OVER (PARTITION BY \"feature_1\") AS \"cnt\"\n  FROM \"n12\"\n),\n\"bounds\" AS (\n  SELECT DISTINCT\n    \"group_col\",\n    (1.0 + (\"cnt\" - 1) * 0.95) AS \"pos\",\n    CAST(1.0 + (\"cnt\" - 1) * 0.95 AS INTEGER) AS \"lower_rn\",\n    CAST(1.0 + (\"cnt\" - 1) * 0.95 AS INTEGER)\n      + ((1.0 + (\"cnt\" - 1) * 0.95) > CAST(1.0 + (\"cnt\" - 1) * 0.95 AS INTEGER)) AS \"upper_rn\",\n    (1.0 + (\"cnt\" - 1) * 0.95) - CAST(1.0 + (\"cnt\" - 1) * 0.95 AS INTEGER) AS \"frac\"\n  FROM \"ranked\"\n),\n\"picked\" AS (\n  SELECT\n    r.\"group_col\",\n    b.\"frac\",\n    MAX(CASE WHEN r.\"rn\" = b.\"lower_rn\" THEN r.\"measure_val\" END) AS \"lower_val\",\n    MAX(CASE WHEN r.\"rn\" = b.\"upper_rn\" THEN r.\"measure_val\" END) AS \"upper_val\"\n  FROM \"ranked\" AS r\n  JOIN \"bounds\" AS b\n    ON r.\"group_col\" = b.\"group_col\"\n  GROUP BY r.\"group_col\", b.\"frac\"\n)\nSELECT\n  \"group_col\" AS \"feature_1\",\n  CASE\n    WHEN \"lower_val\" IS NULL THEN NULL\n    WHEN \"upper_val\" IS NULL THEN \"lower_val\"\n    ELSE \"lower_val\" + \"frac\" * (\"upper_val\" - \"lower_val\")\n  END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this emulates the 0.95 continuous percentile for each \"feature_1\" group using window ranks and linear interpolation over CAST(\"feature_2\" AS REAL). No target filter was specified, so the calculation uses all rows in \"n12\"."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cacbd792eecfb8f2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cacbd792eecfb8f2/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cc12e95724cfa6e0/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cc12e95724cfa6e0/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..3015edf0907e1013b978a77fa2693fedb30da340
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cc12e95724cfa6e0/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4959, "bytes_utf8": 4959, "lines": 146, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 628, "bytes_utf8": 628, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13576, "cached_input_tokens": 12032, "output_tokens": 678, "reasoning_output_tokens": 489}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cc12e95724cfa6e0/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cc12e95724cfa6e0/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..9d6469a80df3450c1b07b0419eff42621b34dce0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cc12e95724cfa6e0/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_cc12e95724cfa6e0",
+    "api_calls": 0,
+    "input_tokens": 13576,
+    "cached_input_tokens": 12032,
+    "output_tokens": 678,
+    "total_tokens": 14254,
+    "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": 12912.55,
+    "sql_execution_elapsed_ms_total": 238.7,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cc12e95724cfa6e0/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cc12e95724cfa6e0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cc12e95724cfa6e0/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..717f9bad0f7a62fd9737c9f1262aa4cf3d04d3aa
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cc12e95724cfa6e0/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:34:46.581101+00:00",
+  "ended_at": "2026-05-19T15:34:59.493684+00:00",
+  "elapsed_ms": 12912.55,
+  "prompt_metrics": {
+    "chars": 4959,
+    "bytes_utf8": 4959,
+    "lines": 146,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1012,
+    "bytes_utf8": 1012,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 628,
+      "bytes_utf8": 628,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13576,
+      "cached_input_tokens": 12032,
+      "output_tokens": 678,
+      "reasoning_output_tokens": 489
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cc12e95724cfa6e0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cc12e95724cfa6e0/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3a7561e2e10543c49337e92f3c7fdfa9d1449c47
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cc12e95724cfa6e0/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,146 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "required_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_1, measure_col=feature_2.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "feature_1",
+    "measure_col": "feature_2",
+    "item_col": "feature_3",
+    "top_k": 13,
+    "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": 116.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cc12e95724cfa6e0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cc12e95724cfa6e0/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..dce383c831f701a4c748451edd5be2ebc61a7768
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cc12e95724cfa6e0/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e0-1156-7121-9560-040d26574cde"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"feature_1\\\",\\n  \\\"feature_3\\\",\\n  SUM(CAST(\\\"feature_2\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"feature_2\\\" AS REAL)) * 100.0 /\\n    SUM(SUM(CAST(\\\"feature_2\\\" AS REAL))) OVER (PARTITION BY \\\"feature_1\\\") AS share_within_group\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_1\\\", \\\"feature_3\\\"\\nORDER BY share_within_group DESC\\nLIMIT 13;\",\"notes\":\"Used the provided Within-Group Share of Total template with group_col=\\\"feature_1\\\", item_col=\\\"feature_3\\\", and measure_col=\\\"feature_2\\\". CAST to REAL is included because the schema stores these fields as TEXT in SQLite.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13576,"cached_input_tokens":12032,"output_tokens":678,"reasoning_output_tokens":489}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cc12e95724cfa6e0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cc12e95724cfa6e0/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..175745d8d1c66bb8ae91b5902e88ff200c082976
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cc12e95724cfa6e0/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n  \"feature_1\",\n  \"feature_3\",\n  SUM(CAST(\"feature_2\" AS REAL)) AS total_measure,\n  SUM(CAST(\"feature_2\" AS REAL)) * 100.0 /\n    SUM(SUM(CAST(\"feature_2\" AS REAL))) OVER (PARTITION BY \"feature_1\") AS share_within_group\nFROM \"n12\"\nGROUP BY \"feature_1\", \"feature_3\"\nORDER BY share_within_group DESC\nLIMIT 13;","notes":"Used the provided Within-Group Share of Total template with group_col=\"feature_1\", item_col=\"feature_3\", and measure_col=\"feature_2\". CAST to REAL is included because the schema stores these fields as TEXT in SQLite."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cc12e95724cfa6e0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cc12e95724cfa6e0/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cfc92e68c59e6dca/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cfc92e68c59e6dca/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..6aeb22e64c8e05b3462e23f058e0745e1dbddfbd
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cfc92e68c59e6dca/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4854, "bytes_utf8": 4854, "lines": 148, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 426, "bytes_utf8": 426, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13547, "cached_input_tokens": 12032, "output_tokens": 316, "reasoning_output_tokens": 197}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cfc92e68c59e6dca/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cfc92e68c59e6dca/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..d0be4e86467cd5829fc1f457bfda674900736684
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cfc92e68c59e6dca/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_cfc92e68c59e6dca",
+    "api_calls": 0,
+    "input_tokens": 13547,
+    "cached_input_tokens": 12032,
+    "output_tokens": 316,
+    "total_tokens": 13863,
+    "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": 8485.34,
+    "sql_execution_elapsed_ms_total": 154.52,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cfc92e68c59e6dca/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cfc92e68c59e6dca/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cfc92e68c59e6dca/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..75109815ee9513be7452c8e095cec72ba027b748
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cfc92e68c59e6dca/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:39:00.083580+00:00",
+  "ended_at": "2026-05-19T15:39:08.568950+00:00",
+  "elapsed_ms": 8485.34,
+  "prompt_metrics": {
+    "chars": 4854,
+    "bytes_utf8": 4854,
+    "lines": 148,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 793,
+    "bytes_utf8": 793,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 426,
+      "bytes_utf8": 426,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13547,
+      "cached_input_tokens": 12032,
+      "output_tokens": 316,
+      "reasoning_output_tokens": 197
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cfc92e68c59e6dca/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cfc92e68c59e6dca/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..59b4aefb72feec9c36a7f9c7ca74d695367e2ea5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cfc92e68c59e6dca/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,148 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_c2_filtered_group_count_2d",
+    "template_name": "Filtered Two-Dimensional Group Count",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;",
+    "required_roles": [
+      "group_col",
+      "group_col_2",
+      "predicate_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=feature_2, group_col_2=feature_3.",
+  "planned_template_id": "tpl_c2_filtered_group_count_2d",
+  "bindings": {
+    "group_col": "feature_2",
+    "group_col_2": "feature_3",
+    "predicate_col": "target",
+    "predicate_op": "=",
+    "predicate_value": "2",
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cfc92e68c59e6dca/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cfc92e68c59e6dca/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d667fe3fac28a848e21061bc12d564fb205389a6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cfc92e68c59e6dca/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e3-ef92-7753-92ed-990f59cf9d8a"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"feature_2\\\", \\\"feature_3\\\", COUNT(*) AS row_count\\nFROM \\\"n12\\\"\\nWHERE \\\"target\\\" = '2'\\nGROUP BY \\\"feature_2\\\", \\\"feature_3\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Used the planned filtered two-dimensional group count template with group columns \\\"feature_2\\\" and \\\"feature_3\\\", filtering rows where \\\"target\\\" equals text value '2' to match the SQLite schema.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13547,"cached_input_tokens":12032,"output_tokens":316,"reasoning_output_tokens":197}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cfc92e68c59e6dca/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cfc92e68c59e6dca/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..70d14bd1c7dece34dc9157be5b7be6c3b889607a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cfc92e68c59e6dca/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"feature_2\", \"feature_3\", COUNT(*) AS row_count\nFROM \"n12\"\nWHERE \"target\" = '2'\nGROUP BY \"feature_2\", \"feature_3\"\nORDER BY row_count DESC;","notes":"Used the planned filtered two-dimensional group count template with group columns \"feature_2\" and \"feature_3\", filtering rows where \"target\" equals text value '2' to match the SQLite schema."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cfc92e68c59e6dca/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_cfc92e68c59e6dca/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d04fc06b8d789bf6/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d04fc06b8d789bf6/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..222840f66c948782590251dfed5ede35833a3cae
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d04fc06b8d789bf6/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5102, "bytes_utf8": 5102, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 622, "bytes_utf8": 622, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13592, "cached_input_tokens": 12672, "output_tokens": 448, "reasoning_output_tokens": 278}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d04fc06b8d789bf6/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d04fc06b8d789bf6/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..9a11900eb9f7d89987bd56e3816799e3d13ade95
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d04fc06b8d789bf6/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_d04fc06b8d789bf6",
+    "api_calls": 0,
+    "input_tokens": 13592,
+    "cached_input_tokens": 12672,
+    "output_tokens": 448,
+    "total_tokens": 14040,
+    "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": 9586.3,
+    "sql_execution_elapsed_ms_total": 113.7,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d04fc06b8d789bf6/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d04fc06b8d789bf6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d04fc06b8d789bf6/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..ce6de227ecd9173954489c3c9322dec76bb3b0a4
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d04fc06b8d789bf6/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:42:17.066469+00:00",
+  "ended_at": "2026-05-19T15:42:26.652803+00:00",
+  "elapsed_ms": 9586.3,
+  "prompt_metrics": {
+    "chars": 5102,
+    "bytes_utf8": 5102,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 989,
+    "bytes_utf8": 989,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 622,
+      "bytes_utf8": 622,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13592,
+      "cached_input_tokens": 12672,
+      "output_tokens": 448,
+      "reasoning_output_tokens": 278
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d04fc06b8d789bf6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d04fc06b8d789bf6/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..93523441486b61be3ea9cc7effb003101dd31b75
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d04fc06b8d789bf6/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "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;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_3, measure_col=feature_3.",
+  "planned_template_id": "tpl_tpch_relative_total_threshold",
+  "bindings": {
+    "group_col": "feature_3",
+    "measure_col": "feature_3",
+    "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": 186.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, 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;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d04fc06b8d789bf6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d04fc06b8d789bf6/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b29ea6af8b65a65e22065cd5be7365081ea41614
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d04fc06b8d789bf6/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e6-f0f3-7482-9a87-9dec65818407"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT \\\"feature_3\\\", SUM(CAST(\\\"feature_3\\\" AS REAL)) AS group_value\\n    FROM \\\"n12\\\"\\n    GROUP BY \\\"feature_3\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT g.\\\"feature_3\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the required template with group_col=\\\"feature_3\\\" and measure_col=\\\"feature_3\\\". CAST to REAL is applied because the schema stores numeric-looking fields as TEXT in SQLite.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13592,"cached_input_tokens":12672,"output_tokens":448,"reasoning_output_tokens":278}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d04fc06b8d789bf6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d04fc06b8d789bf6/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4e587806d4c8230cd63eefbf95682628c6dd1982
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d04fc06b8d789bf6/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n    SELECT \"feature_3\", SUM(CAST(\"feature_3\" AS REAL)) AS group_value\n    FROM \"n12\"\n    GROUP BY \"feature_3\"\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.\"feature_3\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Used the required template with group_col=\"feature_3\" and measure_col=\"feature_3\". CAST to REAL is applied because the schema stores numeric-looking fields as TEXT in SQLite."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d04fc06b8d789bf6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d04fc06b8d789bf6/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d062fdf64a62d6b6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d062fdf64a62d6b6/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..0a805d861a7ea81ae3529cefb96f3affd7d02500
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d062fdf64a62d6b6/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:54:23.104508+00:00",
+  "ended_at": "2026-05-19T15:54:26.322985+00:00",
+  "elapsed_ms": 3218.45,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4778,
+    "bytes_utf8": 4778,
+    "lines": 147,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d062fdf64a62d6b6/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d062fdf64a62d6b6/cli/sql_attempt_2.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..a8c6a11bea8dc8da09dc96bcb221b8a0482ad7b1
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d062fdf64a62d6b6/cli/sql_attempt_2.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:54:27.325337+00:00",
+  "ended_at": "2026-05-19T15:54:30.464887+00:00",
+  "elapsed_ms": 3139.5,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4778,
+    "bytes_utf8": 4778,
+    "lines": 147,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d062fdf64a62d6b6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d062fdf64a62d6b6/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8ceff815439dd34559e399ffdf263ff700f1ce54
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d062fdf64a62d6b6/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,147 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=feature_2, condition_col=target.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "feature_2",
+    "condition_col": "target",
+    "condition_value": "1",
+    "positive_value": "1",
+    "negative_value": "2",
+    "top_k": 11,
+    "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": 186.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d062fdf64a62d6b6/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d062fdf64a62d6b6/cli/sql_prompt_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8ceff815439dd34559e399ffdf263ff700f1ce54
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d062fdf64a62d6b6/cli/sql_prompt_attempt_2.txt
@@ -0,0 +1,147 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=feature_2, condition_col=target.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "feature_2",
+    "condition_col": "target",
+    "condition_value": "1",
+    "positive_value": "1",
+    "negative_value": "2",
+    "top_k": 11,
+    "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": 186.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d062fdf64a62d6b6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d062fdf64a62d6b6/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..f8d179125db02704fa83be45733ad07577b28558
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d062fdf64a62d6b6/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f2-050f-7211-b700-236c439707f6"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d062fdf64a62d6b6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d062fdf64a62d6b6/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d02787634edcd1b8406697824884b02439f54a59
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d062fdf64a62d6b6/cli/sql_response_attempt_1.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f2-050f-7211-b700-236c439707f6"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d062fdf64a62d6b6/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d062fdf64a62d6b6/cli/sql_response_attempt_2.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4e7fe0c8fe3637d837754dcfeb6ab1d9fbffa7d0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d062fdf64a62d6b6/cli/sql_response_attempt_2.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f2-1585-7862-9db7-f6b6cbb2d83c"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d062fdf64a62d6b6/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d062fdf64a62d6b6/cli/sql_response_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..5355dfb50cd585dda60baf260306204721aa17cf
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d062fdf64a62d6b6/cli/sql_response_attempt_2.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f2-1585-7862-9db7-f6b6cbb2d83c"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d062fdf64a62d6b6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d062fdf64a62d6b6/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d062fdf64a62d6b6/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d062fdf64a62d6b6/cli/sql_stderr_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d169ee85462fa09a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d169ee85462fa09a/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..2bcf7cce4104f512cb0d82bc947fc53fa9e21267
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d169ee85462fa09a/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5348, "bytes_utf8": 5348, "lines": 147, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 660, "bytes_utf8": 660, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13661, "cached_input_tokens": 12032, "output_tokens": 588, "reasoning_output_tokens": 404}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d169ee85462fa09a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d169ee85462fa09a/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..89138b8e475c40728901dbba8f7dd2c5835a18f3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d169ee85462fa09a/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_d169ee85462fa09a",
+    "api_calls": 0,
+    "input_tokens": 13661,
+    "cached_input_tokens": 12032,
+    "output_tokens": 588,
+    "total_tokens": 14249,
+    "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": 14335.23,
+    "sql_execution_elapsed_ms_total": 125.77,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d169ee85462fa09a/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d169ee85462fa09a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d169ee85462fa09a/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..1d5bf77c1b7051785b782ecc776db6be491fff5b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d169ee85462fa09a/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:38:07.537389+00:00",
+  "ended_at": "2026-05-19T15:38:21.872646+00:00",
+  "elapsed_ms": 14335.23,
+  "prompt_metrics": {
+    "chars": 5348,
+    "bytes_utf8": 5348,
+    "lines": 147,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1029,
+    "bytes_utf8": 1029,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 660,
+      "bytes_utf8": 660,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13661,
+      "cached_input_tokens": 12032,
+      "output_tokens": 588,
+      "reasoning_output_tokens": 404
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d169ee85462fa09a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d169ee85462fa09a/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c4623e359b33a16ccc1443ebdf308712d55e637d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d169ee85462fa09a/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,147 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_ratio_two_conditions",
+    "template_name": "Grouped Ratio of Two Conditions",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=feature_3, condition_col=target.",
+  "planned_template_id": "tpl_m4_group_ratio_two_conditions",
+  "bindings": {
+    "group_col": "feature_3",
+    "condition_col": "target",
+    "condition_value": "1",
+    "positive_value": "1",
+    "negative_value": "2",
+    "top_k": 12,
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d169ee85462fa09a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d169ee85462fa09a/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4ce75cb6cfc50d7c41c093b5438c7c98cfa7e75b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d169ee85462fa09a/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e3-222a-77c1-958b-9f8aa00de93a"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n    SELECT \\\"feature_3\\\",\\n           SUM(CASE WHEN \\\"target\\\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\\n           SUM(CASE WHEN \\\"target\\\" = '2' THEN 1 ELSE 0 END) AS denominator_count\\n    FROM \\\"n12\\\"\\n    GROUP BY \\\"feature_3\\\"\\n)\\nSELECT \\\"feature_3\\\",\\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Instantiates the grouped ratio template with group_col=\\\"feature_3\\\" and condition_col=\\\"target\\\", computing the ratio of target='1' to target='2' for each feature_3 value.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13661,"cached_input_tokens":12032,"output_tokens":588,"reasoning_output_tokens":404}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d169ee85462fa09a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d169ee85462fa09a/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..aad3885c340e46e660c2f86421308780f9549139
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d169ee85462fa09a/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n    SELECT \"feature_3\",\n           SUM(CASE WHEN \"target\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN \"target\" = '2' THEN 1 ELSE 0 END) AS denominator_count\n    FROM \"n12\"\n    GROUP BY \"feature_3\"\n)\nSELECT \"feature_3\",\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Instantiates the grouped ratio template with group_col=\"feature_3\" and condition_col=\"target\", computing the ratio of target='1' to target='2' for each feature_3 value."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d169ee85462fa09a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d169ee85462fa09a/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d171a2ad326cef02/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d171a2ad326cef02/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..ccc9067134e0421f39a9ba9129ee09b5ccbf7d7e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d171a2ad326cef02/cli/conversation.jsonl
@@ -0,0 +1,4 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4629, "bytes_utf8": 4629, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "}
+{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 4629, "bytes_utf8": 4629, "lines": 144, "estimated_tokens": null}}
+{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 397, "bytes_utf8": 397, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13466, "cached_input_tokens": 12672, "output_tokens": 454, "reasoning_output_tokens": 348}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d171a2ad326cef02/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d171a2ad326cef02/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..ceaa5ec35aab60c5ad25cd90a3a529609d54311e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d171a2ad326cef02/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 2,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_d171a2ad326cef02",
+    "api_calls": 0,
+    "input_tokens": 13466,
+    "cached_input_tokens": 12672,
+    "output_tokens": 454,
+    "total_tokens": 13920,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 2,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 14304.05,
+    "sql_execution_elapsed_ms_total": 379.92,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d171a2ad326cef02/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d171a2ad326cef02/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d171a2ad326cef02/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..7c8a3a6d05a800eb012165359c22e17a3a6b17dc
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d171a2ad326cef02/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:58:47.854231+00:00",
+  "ended_at": "2026-05-19T15:58:51.097596+00:00",
+  "elapsed_ms": 3243.33,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4629,
+    "bytes_utf8": 4629,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d171a2ad326cef02/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d171a2ad326cef02/cli/sql_attempt_2.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..5f7f6a8018fb54754a1cd5afe4b7ca0eb37a6ce7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d171a2ad326cef02/cli/sql_attempt_2.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:58:52.099504+00:00",
+  "ended_at": "2026-05-19T15:59:03.160267+00:00",
+  "elapsed_ms": 11060.72,
+  "prompt_metrics": {
+    "chars": 4629,
+    "bytes_utf8": 4629,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 748,
+    "bytes_utf8": 748,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 397,
+      "bytes_utf8": 397,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13466,
+      "cached_input_tokens": 12672,
+      "output_tokens": 454,
+      "reasoning_output_tokens": 348
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d171a2ad326cef02/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d171a2ad326cef02/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2dd8365cea2fdb7391028f65e313ef1cdc4a470f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d171a2ad326cef02/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=feature_2, measure_col=feature_2.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "feature_2",
+    "measure_col": "feature_2",
+    "top_k": 13,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 116.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d171a2ad326cef02/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d171a2ad326cef02/cli/sql_prompt_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2dd8365cea2fdb7391028f65e313ef1cdc4a470f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d171a2ad326cef02/cli/sql_prompt_attempt_2.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=feature_2, measure_col=feature_2.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "feature_2",
+    "measure_col": "feature_2",
+    "top_k": 13,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 116.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d171a2ad326cef02/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d171a2ad326cef02/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..ad7ad9bb75e7ee6cb59dd091fe3156aeac1e7312
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d171a2ad326cef02/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f6-0f39-7010-aeda-dd04053e5472"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d171a2ad326cef02/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d171a2ad326cef02/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..cac46a4277b8a18583b3a4830e355e3e37c6a2a0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d171a2ad326cef02/cli/sql_response_attempt_1.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f6-0f39-7010-aeda-dd04053e5472"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d171a2ad326cef02/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d171a2ad326cef02/cli/sql_response_attempt_2.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..18ee1ba633fc58060fece1507b2d1978e6a52fce
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d171a2ad326cef02/cli/sql_response_attempt_2.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f6-1fd2-7f01-ac57-bc68ea64590f"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n  \\\"feature_2\\\",\\n  AVG(CAST(\\\"feature_2\\\" AS REAL)) OVER (PARTITION BY \\\"feature_2\\\") AS avg_measure\\nFROM \\\"n12\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the Window Partition Average template with group_col and measure_col both bound to \\\"feature_2\\\". CAST is used because the SQLite schema stores the column as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13466,"cached_input_tokens":12672,"output_tokens":454,"reasoning_output_tokens":348}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d171a2ad326cef02/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d171a2ad326cef02/cli/sql_response_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..5d86a16bef12af09d8e70c365163911036b21728
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d171a2ad326cef02/cli/sql_response_attempt_2.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT\n  \"feature_2\",\n  AVG(CAST(\"feature_2\" AS REAL)) OVER (PARTITION BY \"feature_2\") AS avg_measure\nFROM \"n12\"\nORDER BY avg_measure DESC;","notes":"Applied the Window Partition Average template with group_col and measure_col both bound to \"feature_2\". CAST is used because the SQLite schema stores the column as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d171a2ad326cef02/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d171a2ad326cef02/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d171a2ad326cef02/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d171a2ad326cef02/cli/sql_stderr_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d6ff0752288dc420/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d6ff0752288dc420/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..74aa7ef30fbc0d83f9e677b91792db67966ec746
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d6ff0752288dc420/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:53:23.926916+00:00",
+  "ended_at": "2026-05-19T15:53:26.979544+00:00",
+  "elapsed_ms": 3052.6,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4789,
+    "bytes_utf8": 4789,
+    "lines": 147,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d6ff0752288dc420/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d6ff0752288dc420/cli/sql_attempt_2.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..8266a342bba8227f31d2b4b297f6e19d9eba68ea
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d6ff0752288dc420/cli/sql_attempt_2.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:53:27.981639+00:00",
+  "ended_at": "2026-05-19T15:53:34.486526+00:00",
+  "elapsed_ms": 6504.84,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4789,
+    "bytes_utf8": 4789,
+    "lines": 147,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d6ff0752288dc420/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d6ff0752288dc420/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3d647ae72bc2f3d36d95dc8ee4bc2121faf34f8f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d6ff0752288dc420/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,147 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_3, condition_col=target.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "feature_3",
+    "condition_col": "target",
+    "condition_value": "2",
+    "positive_value": "1",
+    "negative_value": "2",
+    "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": 186.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d6ff0752288dc420/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d6ff0752288dc420/cli/sql_prompt_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3d647ae72bc2f3d36d95dc8ee4bc2121faf34f8f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d6ff0752288dc420/cli/sql_prompt_attempt_2.txt
@@ -0,0 +1,147 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_3, condition_col=target.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "feature_3",
+    "condition_col": "target",
+    "condition_value": "2",
+    "positive_value": "1",
+    "negative_value": "2",
+    "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": 186.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d6ff0752288dc420/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d6ff0752288dc420/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8504d57c5cc3f5340ba13c01084aefc4f085c34b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d6ff0752288dc420/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f1-1dda-7583-bd4b-751b23e770c6"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d6ff0752288dc420/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d6ff0752288dc420/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0d8559ed7d82a06123a185eaf3e0855847374d85
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d6ff0752288dc420/cli/sql_response_attempt_1.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f1-1dda-7583-bd4b-751b23e770c6"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d6ff0752288dc420/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d6ff0752288dc420/cli/sql_response_attempt_2.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2a17b072eaa8c5f7aa5eb132f44859c5b5f5ff76
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d6ff0752288dc420/cli/sql_response_attempt_2.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f1-2db5-7352-983c-c092fd9c2328"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d6ff0752288dc420/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d6ff0752288dc420/cli/sql_response_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e70e295b28e62e1ab92d73e948c8a28408b5edb0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d6ff0752288dc420/cli/sql_response_attempt_2.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f1-2db5-7352-983c-c092fd9c2328"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d6ff0752288dc420/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d6ff0752288dc420/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d6ff0752288dc420/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d6ff0752288dc420/cli/sql_stderr_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d71a88da1b662522/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d71a88da1b662522/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..50d816b8585b7d88b8085be88c5e4cb45f290a4f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d71a88da1b662522/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4634, "bytes_utf8": 4634, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 415, "bytes_utf8": 415, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13467, "cached_input_tokens": 12032, "output_tokens": 377, "reasoning_output_tokens": 267}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d71a88da1b662522/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d71a88da1b662522/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..15fe6418dd3fc878aa39952c31b7b5c054268cc8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d71a88da1b662522/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_d71a88da1b662522",
+    "api_calls": 0,
+    "input_tokens": 13467,
+    "cached_input_tokens": 12032,
+    "output_tokens": 377,
+    "total_tokens": 13844,
+    "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": 10796.54,
+    "sql_execution_elapsed_ms_total": 404.77,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d71a88da1b662522/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d71a88da1b662522/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d71a88da1b662522/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..bd339e10bf3454c17724b088ac1bfa3dbaa215db
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d71a88da1b662522/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:00:18.274876+00:00",
+  "ended_at": "2026-05-19T16:00:29.071434+00:00",
+  "elapsed_ms": 10796.54,
+  "prompt_metrics": {
+    "chars": 4634,
+    "bytes_utf8": 4634,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 770,
+    "bytes_utf8": 770,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 415,
+      "bytes_utf8": 415,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13467,
+      "cached_input_tokens": 12032,
+      "output_tokens": 377,
+      "reasoning_output_tokens": 267
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d71a88da1b662522/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d71a88da1b662522/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0efb1c700ee190fa5a7aa0493765c23169e776c0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d71a88da1b662522/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=feature_1, measure_col=feature_2.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "feature_1",
+    "measure_col": "feature_2",
+    "top_k": 16,
+    "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": 104.84,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d71a88da1b662522/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d71a88da1b662522/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1ad9fa3ee2715dca38b58e7b3d09cf01ae14c82a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d71a88da1b662522/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f7-707c-79f1-b415-cf941ab4f64e"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n  \\\"feature_1\\\",\\n  AVG(CAST(\\\"feature_2\\\" AS REAL)) OVER (PARTITION BY \\\"feature_1\\\") AS avg_measure\\nFROM \\\"n12\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Uses the required Window Partition Average template with group_col=\\\"feature_1\\\" and measure_col=\\\"feature_2\\\". CAST is applied because the SQLite schema stores the feature columns as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13467,"cached_input_tokens":12032,"output_tokens":377,"reasoning_output_tokens":267}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d71a88da1b662522/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d71a88da1b662522/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..ab9c96b11a2dc0bf8be8a1d1c5d5a013a8533f6a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d71a88da1b662522/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT\n  \"feature_1\",\n  AVG(CAST(\"feature_2\" AS REAL)) OVER (PARTITION BY \"feature_1\") AS avg_measure\nFROM \"n12\"\nORDER BY avg_measure DESC;","notes":"Uses the required Window Partition Average template with group_col=\"feature_1\" and measure_col=\"feature_2\". CAST is applied because the SQLite schema stores the feature columns as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d71a88da1b662522/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d71a88da1b662522/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d76791e5eb39c715/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d76791e5eb39c715/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..fb5d593905f689411f9da08768b0e467d77e91fe
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d76791e5eb39c715/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4854, "bytes_utf8": 4854, "lines": 148, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 462, "bytes_utf8": 462, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13547, "cached_input_tokens": 12672, "output_tokens": 383, "reasoning_output_tokens": 256}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d76791e5eb39c715/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d76791e5eb39c715/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..a85be162581c3ea84c54fbcdc812fcd9086de16b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d76791e5eb39c715/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_d76791e5eb39c715",
+    "api_calls": 0,
+    "input_tokens": 13547,
+    "cached_input_tokens": 12672,
+    "output_tokens": 383,
+    "total_tokens": 13930,
+    "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": 11281.69,
+    "sql_execution_elapsed_ms_total": 148.02,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d76791e5eb39c715/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d76791e5eb39c715/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d76791e5eb39c715/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..4aca359fba2b6a34b7fcc544e960cd20d20c8ec1
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d76791e5eb39c715/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:39:44.200455+00:00",
+  "ended_at": "2026-05-19T15:39:55.482172+00:00",
+  "elapsed_ms": 11281.69,
+  "prompt_metrics": {
+    "chars": 4854,
+    "bytes_utf8": 4854,
+    "lines": 148,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 829,
+    "bytes_utf8": 829,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 462,
+      "bytes_utf8": 462,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13547,
+      "cached_input_tokens": 12672,
+      "output_tokens": 383,
+      "reasoning_output_tokens": 256
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d76791e5eb39c715/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d76791e5eb39c715/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..53d93a656c41aab587dd31bf26a55cbe6bdae5ea
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d76791e5eb39c715/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,148 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_c2_filtered_group_count_2d",
+    "template_name": "Filtered Two-Dimensional Group Count",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;",
+    "required_roles": [
+      "group_col",
+      "group_col_2",
+      "predicate_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=feature_1, group_col_2=feature_3.",
+  "planned_template_id": "tpl_c2_filtered_group_count_2d",
+  "bindings": {
+    "group_col": "feature_1",
+    "group_col_2": "feature_3",
+    "predicate_col": "target",
+    "predicate_op": "=",
+    "predicate_value": "2",
+    "top_k": 10,
+    "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": 116.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d76791e5eb39c715/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d76791e5eb39c715/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9c6cd364955ae13a8cb73416ae87023e138abc2c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d76791e5eb39c715/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e4-9bce-7180-ac61-8cd95c2a7190"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"feature_1\\\", \\\"feature_3\\\", COUNT(*) AS row_count\\nFROM \\\"n12\\\"\\nWHERE \\\"target\\\" = '2'\\nGROUP BY \\\"feature_1\\\", \\\"feature_3\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Used the provided filtered two-dimensional group count template with group_col=\\\"feature_1\\\", group_col_2=\\\"feature_3\\\", and predicate target='2'. Kept the predicate value quoted because the schema snapshot shows \\\"target\\\" as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13547,"cached_input_tokens":12672,"output_tokens":383,"reasoning_output_tokens":256}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d76791e5eb39c715/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d76791e5eb39c715/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a19a3c0e16412cdb4c65fe5345b18d8052c066a8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d76791e5eb39c715/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"feature_1\", \"feature_3\", COUNT(*) AS row_count\nFROM \"n12\"\nWHERE \"target\" = '2'\nGROUP BY \"feature_1\", \"feature_3\"\nORDER BY row_count DESC;","notes":"Used the provided filtered two-dimensional group count template with group_col=\"feature_1\", group_col_2=\"feature_3\", and predicate target='2'. Kept the predicate value quoted because the schema snapshot shows \"target\" as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d76791e5eb39c715/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_d76791e5eb39c715/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_da6d422764e0a660/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_da6d422764e0a660/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..2b89625f464943414d38b8f04682fdf12f03e340
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_da6d422764e0a660/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4730, "bytes_utf8": 4730, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 532, "bytes_utf8": 532, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13494, "cached_input_tokens": 12672, "output_tokens": 832, "reasoning_output_tokens": 696}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_da6d422764e0a660/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_da6d422764e0a660/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..769f312cc33ddf890a87f9cf79d4418cf8aa7b31
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_da6d422764e0a660/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_da6d422764e0a660",
+    "api_calls": 0,
+    "input_tokens": 13494,
+    "cached_input_tokens": 12672,
+    "output_tokens": 832,
+    "total_tokens": 14326,
+    "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": 22863.74,
+    "sql_execution_elapsed_ms_total": 96.59,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_da6d422764e0a660/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_da6d422764e0a660/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_da6d422764e0a660/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..41e057e9c50b294720b9e37069df091cb50e4375
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_da6d422764e0a660/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:46:27.013321+00:00",
+  "ended_at": "2026-05-19T15:46:49.877096+00:00",
+  "elapsed_ms": 22863.74,
+  "prompt_metrics": {
+    "chars": 4730,
+    "bytes_utf8": 4730,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 888,
+    "bytes_utf8": 888,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 532,
+      "bytes_utf8": 532,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13494,
+      "cached_input_tokens": 12672,
+      "output_tokens": 832,
+      "reasoning_output_tokens": 696
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_da6d422764e0a660/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_da6d422764e0a660/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..15c18128873b8f7bbf2b8b2784a81f498e8275ae
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_da6d422764e0a660/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=feature_2, measure_col=feature_2.",
+  "planned_template_id": "tpl_grouped_percentile_point",
+  "bindings": {
+    "group_col": "feature_2",
+    "measure_col": "feature_2",
+    "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": 104.84,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_da6d422764e0a660/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_da6d422764e0a660/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..7e52a3ace1ee7b407d48ee86cd8f754065ebce92
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_da6d422764e0a660/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40ea-c155-7e81-9000-a5829f658ad2"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nSELECT\\n  \\\"feature_2\\\",\\n  CAST(\\\"feature_2\\\" AS REAL) AS percentile_measure\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_2\\\"\\nORDER BY percentile_measure DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT. Here, both group_col and measure_col are bound to \\\"feature_2\\\", so every group contains a constant measure value; therefore the 0.95 percentile within each group is exactly that group's numeric \\\"feature_2\\\" value. CAST to REAL is used because the column is stored as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13494,"cached_input_tokens":12672,"output_tokens":832,"reasoning_output_tokens":696}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_da6d422764e0a660/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_da6d422764e0a660/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c4579145a18fb580c250ee286675550677b5980d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_da6d422764e0a660/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_grouped_percentile_point\nSELECT\n  \"feature_2\",\n  CAST(\"feature_2\" AS REAL) AS percentile_measure\nFROM \"n12\"\nGROUP BY \"feature_2\"\nORDER BY percentile_measure DESC;","notes":"SQLite does not support PERCENTILE_CONT. Here, both group_col and measure_col are bound to \"feature_2\", so every group contains a constant measure value; therefore the 0.95 percentile within each group is exactly that group's numeric \"feature_2\" value. CAST to REAL is used because the column is stored as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_da6d422764e0a660/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_da6d422764e0a660/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dcbfb3d8a63cdd92/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dcbfb3d8a63cdd92/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..da6dc876cfeca0260f6b9bfb514e16864b77f93a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dcbfb3d8a63cdd92/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4483, "bytes_utf8": 4483, "lines": 142, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 379, "bytes_utf8": 379, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13443, "cached_input_tokens": 12672, "output_tokens": 304, "reasoning_output_tokens": 195}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dcbfb3d8a63cdd92/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dcbfb3d8a63cdd92/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..6c320a2b27115ceafbcee2685d3fe6f261bd54ba
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dcbfb3d8a63cdd92/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_dcbfb3d8a63cdd92",
+    "api_calls": 0,
+    "input_tokens": 13443,
+    "cached_input_tokens": 12672,
+    "output_tokens": 304,
+    "total_tokens": 13747,
+    "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": 8670.57,
+    "sql_execution_elapsed_ms_total": 23.97,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dcbfb3d8a63cdd92/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dcbfb3d8a63cdd92/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dcbfb3d8a63cdd92/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..c1483175ea77bf15cb230b629631c1e72dc18eb8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dcbfb3d8a63cdd92/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:55:05.866167+00:00",
+  "ended_at": "2026-05-19T15:55:14.536767+00:00",
+  "elapsed_ms": 8670.57,
+  "prompt_metrics": {
+    "chars": 4483,
+    "bytes_utf8": 4483,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 723,
+    "bytes_utf8": 723,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 379,
+      "bytes_utf8": 379,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13443,
+      "cached_input_tokens": 12672,
+      "output_tokens": 304,
+      "reasoning_output_tokens": 195
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dcbfb3d8a63cdd92/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dcbfb3d8a63cdd92/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3fcb9978254fe05782ca7b46d261e375c792958e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dcbfb3d8a63cdd92/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_threshold_rarity_cdf",
+    "template_name": "Threshold Rarity CDF",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};",
+    "required_roles": [
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_1.",
+  "planned_template_id": "tpl_threshold_rarity_cdf",
+  "bindings": {
+    "measure_col": "feature_1",
+    "top_k": 13,
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dcbfb3d8a63cdd92/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dcbfb3d8a63cdd92/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6ec7ebb08167c4bcb186a21b2c6000b9f8f25923
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dcbfb3d8a63cdd92/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f2-ac26-7f90-a5b6-df20960dea82"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"feature_1\\\" AS REAL) <= 115.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"n12\\\";\",\"notes\":\"Applied the Threshold Rarity CDF template with measure_col bound to \\\"feature_1\\\" and measure_threshold fixed at 115.0. CAST to REAL is used because the schema stores feature columns as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13443,"cached_input_tokens":12672,"output_tokens":304,"reasoning_output_tokens":195}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dcbfb3d8a63cdd92/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dcbfb3d8a63cdd92/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2d05764c965d9da532e453c1ee6dd4a929b576dd
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dcbfb3d8a63cdd92/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"feature_1\" AS REAL) <= 115.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"n12\";","notes":"Applied the Threshold Rarity CDF template with measure_col bound to \"feature_1\" and measure_threshold fixed at 115.0. CAST to REAL is used because the schema stores feature columns as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dcbfb3d8a63cdd92/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dcbfb3d8a63cdd92/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dceca499dbdbe59b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dceca499dbdbe59b/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..b4e789616d0ac87a5e53746f0f4794a3288ed17b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dceca499dbdbe59b/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5106, "bytes_utf8": 5106, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 606, "bytes_utf8": 606, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13594, "cached_input_tokens": 12672, "output_tokens": 425, "reasoning_output_tokens": 254}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dceca499dbdbe59b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dceca499dbdbe59b/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..c94c7d83f0f2565ad73235113facd1e4f56f4c35
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dceca499dbdbe59b/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_dceca499dbdbe59b",
+    "api_calls": 0,
+    "input_tokens": 13594,
+    "cached_input_tokens": 12672,
+    "output_tokens": 425,
+    "total_tokens": 14019,
+    "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": 15006.04,
+    "sql_execution_elapsed_ms_total": 123.7,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dceca499dbdbe59b/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dceca499dbdbe59b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dceca499dbdbe59b/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..56e2aa6c5d8c7701bc2ea482ae156a87dfb1b475
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dceca499dbdbe59b/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:42:26.773224+00:00",
+  "ended_at": "2026-05-19T15:42:41.779298+00:00",
+  "elapsed_ms": 15006.04,
+  "prompt_metrics": {
+    "chars": 5106,
+    "bytes_utf8": 5106,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1310,
+    "bytes_utf8": 1310,
+    "lines": 5,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 606,
+      "bytes_utf8": 606,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13594,
+      "cached_input_tokens": 12672,
+      "output_tokens": 425,
+      "reasoning_output_tokens": 254
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dceca499dbdbe59b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dceca499dbdbe59b/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..66e9743e886768942f96958d42dd997d89bf3a9b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dceca499dbdbe59b/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "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;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=feature_3, measure_col=feature_3.",
+  "planned_template_id": "tpl_tpch_relative_total_threshold",
+  "bindings": {
+    "group_col": "feature_3",
+    "measure_col": "feature_3",
+    "top_k": 19,
+    "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": 163.32,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, 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;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dceca499dbdbe59b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dceca499dbdbe59b/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..fbfd22180359fb144203f28e90783021ced90d38
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dceca499dbdbe59b/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,5 @@
+{"type":"thread.started","thread_id":"019e40e7-16e0-7741-8e8b-af258cac8714"}
+{"type":"turn.started"}
+{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 14229. Please try again in 426ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT \\\"feature_3\\\", SUM(CAST(\\\"feature_3\\\" AS REAL)) AS group_value\\n    FROM \\\"n12\\\"\\n    GROUP BY \\\"feature_3\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT g.\\\"feature_3\\\", 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 planned template with group_col=\\\"feature_3\\\" and measure_col=\\\"feature_3\\\". Cast \\\"feature_3\\\" from TEXT to REAL so SUM works numerically in SQLite.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13594,"cached_input_tokens":12672,"output_tokens":425,"reasoning_output_tokens":254}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dceca499dbdbe59b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dceca499dbdbe59b/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..76b271a78bb09500a1d03ba4810c75e6d4fec981
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dceca499dbdbe59b/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n    SELECT \"feature_3\", SUM(CAST(\"feature_3\" AS REAL)) AS group_value\n    FROM \"n12\"\n    GROUP BY \"feature_3\"\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.\"feature_3\", 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 planned template with group_col=\"feature_3\" and measure_col=\"feature_3\". Cast \"feature_3\" from TEXT to REAL so SUM works numerically in SQLite."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dceca499dbdbe59b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_dceca499dbdbe59b/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de048919968995b6/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de048919968995b6/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..6b08353e6013585997d40d8ae0866ccea1bda8d8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de048919968995b6/cli/conversation.jsonl
@@ -0,0 +1,4 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4779, "bytes_utf8": 4779, "lines": 147, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "}
+{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 4779, "bytes_utf8": 4779, "lines": 147, "estimated_tokens": null}}
+{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 483, "bytes_utf8": 483, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13510, "cached_input_tokens": 12672, "output_tokens": 294, "reasoning_output_tokens": 163}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de048919968995b6/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de048919968995b6/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..d9594ae413d40a17545d00c8cd2a301690e68e0d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de048919968995b6/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 2,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_de048919968995b6",
+    "api_calls": 0,
+    "input_tokens": 13510,
+    "cached_input_tokens": 12672,
+    "output_tokens": 294,
+    "total_tokens": 13804,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 2,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 10659.3,
+    "sql_execution_elapsed_ms_total": 85.38,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de048919968995b6/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de048919968995b6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de048919968995b6/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..8e120759797bf7b9f863b6d5433348c1a024c2ec
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de048919968995b6/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:53:48.412257+00:00",
+  "ended_at": "2026-05-19T15:53:51.504661+00:00",
+  "elapsed_ms": 3092.38,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4779,
+    "bytes_utf8": 4779,
+    "lines": 147,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de048919968995b6/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de048919968995b6/cli/sql_attempt_2.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..79ee2d38fff2776f051114a3e35179f06e3b4556
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de048919968995b6/cli/sql_attempt_2.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:53:52.506193+00:00",
+  "ended_at": "2026-05-19T15:54:00.073151+00:00",
+  "elapsed_ms": 7566.92,
+  "prompt_metrics": {
+    "chars": 4779,
+    "bytes_utf8": 4779,
+    "lines": 147,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 838,
+    "bytes_utf8": 838,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 483,
+      "bytes_utf8": 483,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13510,
+      "cached_input_tokens": 12672,
+      "output_tokens": 294,
+      "reasoning_output_tokens": 163
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de048919968995b6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de048919968995b6/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5482dd0c4db48979b99a00db7eefdd6800d61b4
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de048919968995b6/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,147 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=target, condition_col=target.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "target",
+    "condition_col": "target",
+    "condition_value": "2",
+    "positive_value": "1",
+    "negative_value": "2",
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de048919968995b6/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de048919968995b6/cli/sql_prompt_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5482dd0c4db48979b99a00db7eefdd6800d61b4
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de048919968995b6/cli/sql_prompt_attempt_2.txt
@@ -0,0 +1,147 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=target, condition_col=target.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "target",
+    "condition_col": "target",
+    "condition_value": "2",
+    "positive_value": "1",
+    "negative_value": "2",
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de048919968995b6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de048919968995b6/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1291b244b4b472c26623db6e56cbc7af923453d1
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de048919968995b6/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f1-7d85-7330-a2d4-33e114051529"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de048919968995b6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de048919968995b6/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9ce5d5ba4c71f5415baf4d43a65398e1eaedb28b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de048919968995b6/cli/sql_response_attempt_1.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f1-7d85-7330-a2d4-33e114051529"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de048919968995b6/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de048919968995b6/cli/sql_response_attempt_2.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..58830d48e32ba863625a9f8f3b10f0a837cdf618
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de048919968995b6/cli/sql_response_attempt_2.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f1-8d8d-70a2-9823-4535fa46a015"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"target\\\",\\n       AVG(CASE WHEN \\\"target\\\" = '2' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n12\\\"\\nGROUP BY \\\"target\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the provided Grouped Condition Rate template with group_col=\\\"target\\\" and condition_col=\\\"target\\\". Because the grouping column and condition column are the same, the result shows a within-group proportion of 1.0 for target='2' and 0.0 for target='1'.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13510,"cached_input_tokens":12672,"output_tokens":294,"reasoning_output_tokens":163}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de048919968995b6/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de048919968995b6/cli/sql_response_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c708726344e117c0e1e6d339c16f0caadf2a5bd5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de048919968995b6/cli/sql_response_attempt_2.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"target\",\n       AVG(CASE WHEN \"target\" = '2' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n12\"\nGROUP BY \"target\"\nORDER BY condition_rate DESC;","notes":"Uses the provided Grouped Condition Rate template with group_col=\"target\" and condition_col=\"target\". Because the grouping column and condition column are the same, the result shows a within-group proportion of 1.0 for target='2' and 0.0 for target='1'."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de048919968995b6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de048919968995b6/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de048919968995b6/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de048919968995b6/cli/sql_stderr_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de0492faefead766/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de0492faefead766/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..ba7487e9e821727a8851b4296420e2f02a5a2a1c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de0492faefead766/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4717, "bytes_utf8": 4717, "lines": 142, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 542, "bytes_utf8": 542, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13507, "cached_input_tokens": 12032, "output_tokens": 522, "reasoning_output_tokens": 359}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de0492faefead766/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de0492faefead766/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..80f7ac1f62355049f095f1023a81a0e6f36855c3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de0492faefead766/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_de0492faefead766",
+    "api_calls": 0,
+    "input_tokens": 13507,
+    "cached_input_tokens": 12032,
+    "output_tokens": 522,
+    "total_tokens": 14029,
+    "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": 13188.14,
+    "sql_execution_elapsed_ms_total": 362.96,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de0492faefead766/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de0492faefead766/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de0492faefead766/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..70c5e25e2fff53412da90566f1efb3d7b285595c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de0492faefead766/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:39:55.637457+00:00",
+  "ended_at": "2026-05-19T15:40:08.825618+00:00",
+  "elapsed_ms": 13188.14,
+  "prompt_metrics": {
+    "chars": 4717,
+    "bytes_utf8": 4717,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 918,
+    "bytes_utf8": 918,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 542,
+      "bytes_utf8": 542,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13507,
+      "cached_input_tokens": 12032,
+      "output_tokens": 522,
+      "reasoning_output_tokens": 359
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de0492faefead766/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de0492faefead766/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..bd4564b1ccdbad140c42320fa5f40182668cc1bb
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de0492faefead766/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_quantile_tail_slice",
+    "template_name": "Quantile Tail Slice",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "sql_skeleton": "WITH buckets AS (\n    SELECT {measure_col},\n           NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n    FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;",
+    "required_roles": [
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_1.",
+  "planned_template_id": "tpl_m4_quantile_tail_slice",
+  "bindings": {
+    "measure_col": "feature_1",
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH buckets AS (\n    SELECT {measure_col},\n           NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n    FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de0492faefead766/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de0492faefead766/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..5bda3a09d74d08056b133b7ee5ca8c4fdcece24a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de0492faefead766/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e4-c86a-78a3-9a37-e9bbe910575e"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n  SELECT\\n    CAST(\\\"feature_1\\\" AS REAL) AS \\\"feature_1\\\",\\n    NTILE(10) OVER (ORDER BY CAST(\\\"feature_1\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n  FROM \\\"n12\\\"\\n)\\nSELECT \\\"feature_1\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"feature_1\\\" DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to feature_1 and num_tiles=10. CAST to REAL is used because the schema stores feature_1 as TEXT while the task treats it as numeric.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13507,"cached_input_tokens":12032,"output_tokens":522,"reasoning_output_tokens":359}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de0492faefead766/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de0492faefead766/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..fbc2d48b53bf0ccfeca183e00791939558fdc81c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de0492faefead766/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n  SELECT\n    CAST(\"feature_1\" AS REAL) AS \"feature_1\",\n    NTILE(10) OVER (ORDER BY CAST(\"feature_1\" AS REAL) DESC) AS \"tail_bucket\"\n  FROM \"n12\"\n)\nSELECT \"feature_1\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY \"feature_1\" DESC;","notes":"Applied the Quantile Tail Slice template with measure_col bound to feature_1 and num_tiles=10. CAST to REAL is used because the schema stores feature_1 as TEXT while the task treats it as numeric."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de0492faefead766/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_de0492faefead766/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e08e4e691386218a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e08e4e691386218a/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..7cd08ebff406cdcad01e412dff10e76053014037
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e08e4e691386218a/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4719, "bytes_utf8": 4719, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1727, "bytes_utf8": 1727, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13490, "cached_input_tokens": 12032, "output_tokens": 2500, "reasoning_output_tokens": 1944}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e08e4e691386218a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e08e4e691386218a/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..40d80ebaf7fa9fcbd6380b79268d82e220fae183
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e08e4e691386218a/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_e08e4e691386218a",
+    "api_calls": 0,
+    "input_tokens": 13490,
+    "cached_input_tokens": 12032,
+    "output_tokens": 2500,
+    "total_tokens": 15990,
+    "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": 37370.01,
+    "sql_execution_elapsed_ms_total": 793.28,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e08e4e691386218a/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e08e4e691386218a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e08e4e691386218a/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..36b0c09d6b7920a3c8e8b5a13e5b38300cbee1ba
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e08e4e691386218a/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:51:20.306462+00:00",
+  "ended_at": "2026-05-19T15:51:57.676506+00:00",
+  "elapsed_ms": 37370.01,
+  "prompt_metrics": {
+    "chars": 4719,
+    "bytes_utf8": 4719,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 2366,
+    "bytes_utf8": 2366,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 1727,
+      "bytes_utf8": 1727,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13490,
+      "cached_input_tokens": 12032,
+      "output_tokens": 2500,
+      "reasoning_output_tokens": 1944
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e08e4e691386218a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e08e4e691386218a/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..5070eb7002cef4a4ece84a7e12e48ca6908a06e6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e08e4e691386218a/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=target, measure_col=feature_2.",
+  "planned_template_id": "tpl_grouped_percentile_point",
+  "bindings": {
+    "group_col": "target",
+    "measure_col": "feature_2",
+    "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": 116.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e08e4e691386218a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e08e4e691386218a/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..20e8e3a572de1b0c0fafc9c8347c7a6c4d68aded
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e08e4e691386218a/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40ef-3b0e-7f50-88cd-a42c991e1d33"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n  SELECT\\n    \\\"target\\\",\\n    CAST(\\\"feature_2\\\" AS REAL) AS \\\"measure_value\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY \\\"target\\\"\\n      ORDER BY CAST(\\\"feature_2\\\" AS REAL)\\n    ) AS \\\"rn\\\",\\n    COUNT(*) OVER (\\n      PARTITION BY \\\"target\\\"\\n    ) AS \\\"cnt\\\"\\n  FROM \\\"n12\\\"\\n  WHERE \\\"feature_2\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n  SELECT\\n    \\\"target\\\",\\n    \\\"measure_value\\\",\\n    \\\"rn\\\",\\n    \\\"cnt\\\",\\n    ((\\\"cnt\\\" - 1) * 0.9) + 1.0 AS \\\"pos\\\"\\n  FROM \\\"ranked\\\"\\n),\\n\\\"bounds\\\" AS (\\n  SELECT\\n    \\\"target\\\",\\n    \\\"measure_value\\\",\\n    \\\"rn\\\",\\n    \\\"pos\\\",\\n    CAST(\\\"pos\\\" AS INTEGER) AS \\\"lo_rn\\\",\\n    CAST(\\\"pos\\\" AS INTEGER) + CASE\\n      WHEN \\\"pos\\\" > CAST(\\\"pos\\\" AS INTEGER) THEN 1\\n      ELSE 0\\n    END AS \\\"hi_rn\\\"\\n  FROM \\\"positions\\\"\\n),\\n\\\"picked\\\" AS (\\n  SELECT\\n    \\\"target\\\",\\n    MAX(CASE WHEN \\\"rn\\\" = \\\"lo_rn\\\" THEN \\\"measure_value\\\" END) AS \\\"lo_val\\\",\\n    MAX(CASE WHEN \\\"rn\\\" = \\\"hi_rn\\\" THEN \\\"measure_value\\\" END) AS \\\"hi_val\\\",\\n    MAX(\\\"pos\\\") AS \\\"pos\\\",\\n    MAX(\\\"lo_rn\\\") AS \\\"lo_rn\\\",\\n    MAX(\\\"hi_rn\\\") AS \\\"hi_rn\\\"\\n  FROM \\\"bounds\\\"\\n  GROUP BY \\\"target\\\"\\n)\\nSELECT\\n  \\\"target\\\",\\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;\",\"notes\":\"Uses the bound roles group_col=\\\"target\\\" and measure_col=\\\"feature_2\\\". Since SQLite lacks PERCENTILE_CONT, the query emulates the 0.9 continuous percentile with window functions and linear interpolation, casting \\\"feature_2\\\" from TEXT to REAL for numeric ordering.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13490,"cached_input_tokens":12032,"output_tokens":2500,"reasoning_output_tokens":1944}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e08e4e691386218a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e08e4e691386218a/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..5d9e96c5c36eefdc964ed7a102283f8d9b2b5ae5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e08e4e691386218a/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n  SELECT\n    \"target\",\n    CAST(\"feature_2\" AS REAL) AS \"measure_value\",\n    ROW_NUMBER() OVER (\n      PARTITION BY \"target\"\n      ORDER BY CAST(\"feature_2\" AS REAL)\n    ) AS \"rn\",\n    COUNT(*) OVER (\n      PARTITION BY \"target\"\n    ) AS \"cnt\"\n  FROM \"n12\"\n  WHERE \"feature_2\" IS NOT NULL\n),\n\"positions\" AS (\n  SELECT\n    \"target\",\n    \"measure_value\",\n    \"rn\",\n    \"cnt\",\n    ((\"cnt\" - 1) * 0.9) + 1.0 AS \"pos\"\n  FROM \"ranked\"\n),\n\"bounds\" AS (\n  SELECT\n    \"target\",\n    \"measure_value\",\n    \"rn\",\n    \"pos\",\n    CAST(\"pos\" AS INTEGER) AS \"lo_rn\",\n    CAST(\"pos\" AS INTEGER) + CASE\n      WHEN \"pos\" > CAST(\"pos\" AS INTEGER) THEN 1\n      ELSE 0\n    END AS \"hi_rn\"\n  FROM \"positions\"\n),\n\"picked\" AS (\n  SELECT\n    \"target\",\n    MAX(CASE WHEN \"rn\" = \"lo_rn\" THEN \"measure_value\" END) AS \"lo_val\",\n    MAX(CASE WHEN \"rn\" = \"hi_rn\" THEN \"measure_value\" END) AS \"hi_val\",\n    MAX(\"pos\") AS \"pos\",\n    MAX(\"lo_rn\") AS \"lo_rn\",\n    MAX(\"hi_rn\") AS \"hi_rn\"\n  FROM \"bounds\"\n  GROUP BY \"target\"\n)\nSELECT\n  \"target\",\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;","notes":"Uses the bound roles group_col=\"target\" and measure_col=\"feature_2\". Since SQLite lacks PERCENTILE_CONT, the query emulates the 0.9 continuous percentile with window functions and linear interpolation, casting \"feature_2\" from TEXT to REAL for numeric ordering."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e08e4e691386218a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e08e4e691386218a/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e1e602c7a65e90b7/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e1e602c7a65e90b7/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..6ec829b00b081d53bc243b19daa2db669767b49d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e1e602c7a65e90b7/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:55:54.474128+00:00",
+  "ended_at": "2026-05-19T15:55:57.380647+00:00",
+  "elapsed_ms": 2906.49,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4482,
+    "bytes_utf8": 4482,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e1e602c7a65e90b7/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e1e602c7a65e90b7/cli/sql_attempt_2.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..9e53d85ec2fb3f35c096dde662ec570091451b48
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e1e602c7a65e90b7/cli/sql_attempt_2.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:55:58.382526+00:00",
+  "ended_at": "2026-05-19T15:56:01.753617+00:00",
+  "elapsed_ms": 3371.05,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4482,
+    "bytes_utf8": 4482,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e1e602c7a65e90b7/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e1e602c7a65e90b7/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..de5829c0bc667f8998421d8e04c218bd101122eb
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e1e602c7a65e90b7/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_threshold_rarity_cdf",
+    "template_name": "Threshold Rarity CDF",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};",
+    "required_roles": [
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_3.",
+  "planned_template_id": "tpl_threshold_rarity_cdf",
+  "bindings": {
+    "measure_col": "feature_3",
+    "top_k": 13,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 186.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e1e602c7a65e90b7/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e1e602c7a65e90b7/cli/sql_prompt_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..de5829c0bc667f8998421d8e04c218bd101122eb
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e1e602c7a65e90b7/cli/sql_prompt_attempt_2.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_threshold_rarity_cdf",
+    "template_name": "Threshold Rarity CDF",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};",
+    "required_roles": [
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_3.",
+  "planned_template_id": "tpl_threshold_rarity_cdf",
+  "bindings": {
+    "measure_col": "feature_3",
+    "top_k": 13,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 186.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e1e602c7a65e90b7/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e1e602c7a65e90b7/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..dd982f465d0c3769df905b95ee8825fbf992ba95
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e1e602c7a65e90b7/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f3-69f9-7ac2-a1aa-a933584473eb"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e1e602c7a65e90b7/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e1e602c7a65e90b7/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0c155b6829a07678aed66c35a95222dc71a0feb5
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e1e602c7a65e90b7/cli/sql_response_attempt_1.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f3-69f9-7ac2-a1aa-a933584473eb"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e1e602c7a65e90b7/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e1e602c7a65e90b7/cli/sql_response_attempt_2.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8a48b6b3042eac0d51a1fb525712a36ebd96494d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e1e602c7a65e90b7/cli/sql_response_attempt_2.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f3-7950-78d1-a5d4-b8251ccd3a5e"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e1e602c7a65e90b7/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e1e602c7a65e90b7/cli/sql_response_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..64acd3a3c680d08723499b97ee065b1ab4bbefd6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e1e602c7a65e90b7/cli/sql_response_attempt_2.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f3-7950-78d1-a5d4-b8251ccd3a5e"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e1e602c7a65e90b7/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e1e602c7a65e90b7/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e1e602c7a65e90b7/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e1e602c7a65e90b7/cli/sql_stderr_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e30b4097bcb53799/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e30b4097bcb53799/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..5c4b6fbc896993a267c46d13dbdb6d8d301f603c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e30b4097bcb53799/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4716, "bytes_utf8": 4716, "lines": 142, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 531, "bytes_utf8": 531, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13507, "cached_input_tokens": 12032, "output_tokens": 573, "reasoning_output_tokens": 413}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e30b4097bcb53799/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e30b4097bcb53799/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..9a1586d0934f1f392ac6559cf8a05d94b7db0a78
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e30b4097bcb53799/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_e30b4097bcb53799",
+    "api_calls": 0,
+    "input_tokens": 13507,
+    "cached_input_tokens": 12032,
+    "output_tokens": 573,
+    "total_tokens": 14080,
+    "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": 12593.21,
+    "sql_execution_elapsed_ms_total": 309.63,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e30b4097bcb53799/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e30b4097bcb53799/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e30b4097bcb53799/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..ff58dffec996d9fad26a15406260347d62f8c864
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e30b4097bcb53799/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:40:27.641692+00:00",
+  "ended_at": "2026-05-19T15:40:40.234927+00:00",
+  "elapsed_ms": 12593.21,
+  "prompt_metrics": {
+    "chars": 4716,
+    "bytes_utf8": 4716,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 911,
+    "bytes_utf8": 911,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 531,
+      "bytes_utf8": 531,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13507,
+      "cached_input_tokens": 12032,
+      "output_tokens": 573,
+      "reasoning_output_tokens": 413
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e30b4097bcb53799/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e30b4097bcb53799/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d417444133edabe6fd37777c00a1bdb8734043e4
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e30b4097bcb53799/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_quantile_tail_slice",
+    "template_name": "Quantile Tail Slice",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "sql_skeleton": "WITH buckets AS (\n    SELECT {measure_col},\n           NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n    FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;",
+    "required_roles": [
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_1.",
+  "planned_template_id": "tpl_m4_quantile_tail_slice",
+  "bindings": {
+    "measure_col": "feature_1",
+    "top_k": 13,
+    "top_n": 6,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH buckets AS (\n    SELECT {measure_col},\n           NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n    FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e30b4097bcb53799/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e30b4097bcb53799/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..bf18fbcd13d6f41d5e26eea389920620d3cfd5d9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e30b4097bcb53799/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e5-4587-7cf3-adca-3742c85d6734"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n  SELECT\\n    \\\"feature_1\\\",\\n    NTILE(10) OVER (ORDER BY CAST(\\\"feature_1\\\" AS INTEGER) DESC) AS \\\"tail_bucket\\\"\\n  FROM \\\"n12\\\"\\n)\\nSELECT \\\"feature_1\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"feature_1\\\" AS INTEGER) DESC;\",\"notes\":\"Applied tpl_m4_quantile_tail_slice with measure_col bound to \\\"feature_1\\\" and num_tiles=10. Cast \\\"feature_1\\\" to INTEGER for numeric tail ordering because the column is stored as TEXT in SQLite.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13507,"cached_input_tokens":12032,"output_tokens":573,"reasoning_output_tokens":413}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e30b4097bcb53799/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e30b4097bcb53799/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..827680a255d23843af5526c639c1fb64eb1a3d84
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e30b4097bcb53799/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n  SELECT\n    \"feature_1\",\n    NTILE(10) OVER (ORDER BY CAST(\"feature_1\" AS INTEGER) DESC) AS \"tail_bucket\"\n  FROM \"n12\"\n)\nSELECT \"feature_1\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY CAST(\"feature_1\" AS INTEGER) DESC;","notes":"Applied tpl_m4_quantile_tail_slice with measure_col bound to \"feature_1\" and num_tiles=10. Cast \"feature_1\" to INTEGER for numeric tail ordering because the column is stored as TEXT in SQLite."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e30b4097bcb53799/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e30b4097bcb53799/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e4951e328443b7ba/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e4951e328443b7ba/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..51a1ab6cc15d89d6b9c5c0d53603eb348d55d6c4
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e4951e328443b7ba/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4728, "bytes_utf8": 4728, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 861, "bytes_utf8": 861, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13494, "cached_input_tokens": 12672, "output_tokens": 1779, "reasoning_output_tokens": 1524}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e4951e328443b7ba/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e4951e328443b7ba/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..65a8d03cd942308362e8283b492c05c9dc45f948
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e4951e328443b7ba/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_e4951e328443b7ba",
+    "api_calls": 0,
+    "input_tokens": 13494,
+    "cached_input_tokens": 12672,
+    "output_tokens": 1779,
+    "total_tokens": 15273,
+    "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": 29406.42,
+    "sql_execution_elapsed_ms_total": 504.38,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e4951e328443b7ba/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e4951e328443b7ba/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e4951e328443b7ba/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..90b09b5fb2329f5b6f521616e9a10e26f58977e2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e4951e328443b7ba/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:50:50.388997+00:00",
+  "ended_at": "2026-05-19T15:51:19.795450+00:00",
+  "elapsed_ms": 29406.42,
+  "prompt_metrics": {
+    "chars": 4728,
+    "bytes_utf8": 4728,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1285,
+    "bytes_utf8": 1285,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 861,
+      "bytes_utf8": 861,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13494,
+      "cached_input_tokens": 12672,
+      "output_tokens": 1779,
+      "reasoning_output_tokens": 1524
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e4951e328443b7ba/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e4951e328443b7ba/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a1c6742789c8dca3497219c5312bb8321ce4dba9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e4951e328443b7ba/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=feature_3, measure_col=feature_1.",
+  "planned_template_id": "tpl_grouped_percentile_point",
+  "bindings": {
+    "group_col": "feature_3",
+    "measure_col": "feature_1",
+    "top_k": 15,
+    "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": 100.24,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e4951e328443b7ba/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e4951e328443b7ba/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..46a9777c60a9536c7682e156bb8482fe04acbc40
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e4951e328443b7ba/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40ee-c625-7802-aec9-2f69d1f4e833"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n  SELECT\\n    \\\"feature_3\\\",\\n    CAST(\\\"feature_1\\\" AS REAL) AS \\\"measure\\\",\\n    COUNT(*) OVER (PARTITION BY \\\"feature_3\\\") AS \\\"group_size\\\",\\n    CUME_DIST() OVER (\\n      PARTITION BY \\\"feature_3\\\"\\n      ORDER BY CAST(\\\"feature_1\\\" AS REAL)\\n    ) AS \\\"cume_dist\\\"\\n  FROM \\\"n12\\\"\\n)\\nSELECT\\n  \\\"feature_3\\\",\\n  MIN(\\\"measure\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"group_size\\\" >= 5\\n  AND \\\"cume_dist\\\" >= 0.9\\nGROUP BY \\\"feature_3\\\"\\nORDER BY \\\"percentile_measure\\\" DESC\\nLIMIT 15;\",\"notes\":\"Uses the planned group and measure bindings. Since SQLite does not support PERCENTILE_CONT, the 90th-percentile point is approximated with a nearest-rank method via CUME_DIST(), casting \\\"feature_1\\\" from TEXT to REAL and filtering out groups with fewer than 5 rows.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13494,"cached_input_tokens":12672,"output_tokens":1779,"reasoning_output_tokens":1524}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e4951e328443b7ba/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e4951e328443b7ba/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6a204873f64f5568a275cfa41f87e91f96ac214d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e4951e328443b7ba/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n  SELECT\n    \"feature_3\",\n    CAST(\"feature_1\" AS REAL) AS \"measure\",\n    COUNT(*) OVER (PARTITION BY \"feature_3\") AS \"group_size\",\n    CUME_DIST() OVER (\n      PARTITION BY \"feature_3\"\n      ORDER BY CAST(\"feature_1\" AS REAL)\n    ) AS \"cume_dist\"\n  FROM \"n12\"\n)\nSELECT\n  \"feature_3\",\n  MIN(\"measure\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"group_size\" >= 5\n  AND \"cume_dist\" >= 0.9\nGROUP BY \"feature_3\"\nORDER BY \"percentile_measure\" DESC\nLIMIT 15;","notes":"Uses the planned group and measure bindings. Since SQLite does not support PERCENTILE_CONT, the 90th-percentile point is approximated with a nearest-rank method via CUME_DIST(), casting \"feature_1\" from TEXT to REAL and filtering out groups with fewer than 5 rows."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e4951e328443b7ba/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e4951e328443b7ba/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7095091898fc7e4/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7095091898fc7e4/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..3900f9de6ed6c41ec4c8aca63e40e1b4b3cab1a4
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7095091898fc7e4/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4455, "bytes_utf8": 4455, "lines": 142, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 271, "bytes_utf8": 271, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13427, "cached_input_tokens": 12288, "output_tokens": 312, "reasoning_output_tokens": 235}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7095091898fc7e4/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7095091898fc7e4/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..4ccfcf6cb5fa1bde2b88f7c07412440e8865ad48
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7095091898fc7e4/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_e7095091898fc7e4",
+    "api_calls": 0,
+    "input_tokens": 13427,
+    "cached_input_tokens": 12288,
+    "output_tokens": 312,
+    "total_tokens": 13739,
+    "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": 11261.09,
+    "sql_execution_elapsed_ms_total": 98.69,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7095091898fc7e4/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7095091898fc7e4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7095091898fc7e4/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..9323ece5dbff1cd26bd7ad1564d6ec0c831d8872
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7095091898fc7e4/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:31:22.169537+00:00",
+  "ended_at": "2026-05-19T15:31:33.430654+00:00",
+  "elapsed_ms": 11261.09,
+  "prompt_metrics": {
+    "chars": 4455,
+    "bytes_utf8": 4455,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 625,
+    "bytes_utf8": 625,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 271,
+      "bytes_utf8": 271,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13427,
+      "cached_input_tokens": 12288,
+      "output_tokens": 312,
+      "reasoning_output_tokens": 235
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7095091898fc7e4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7095091898fc7e4/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..45a71128c4661c8de33607ced5cfe3613351324a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7095091898fc7e4/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_clickbench_group_count",
+    "template_name": "Grouped Count by Category",
+    "primary_family": "subgroup_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=feature_2.",
+  "planned_template_id": "tpl_clickbench_group_count",
+  "bindings": {
+    "group_col": "feature_2",
+    "top_k": 13,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 116.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7095091898fc7e4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7095091898fc7e4/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9df62c83ab4fe0661c6b52fbd24c8f04feefd9b9
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7095091898fc7e4/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40dc-f2c7-7071-b394-227bd0a4f89d"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"feature_2\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_2\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Grouped count by category on \\\"feature_2\\\" to inspect subgroup size distribution/stability.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13427,"cached_input_tokens":12288,"output_tokens":312,"reasoning_output_tokens":235}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7095091898fc7e4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7095091898fc7e4/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..56fcded0f49f6d640546a1a200e3c24abe4d799f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7095091898fc7e4/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"feature_2\", COUNT(*) AS \"row_count\"\nFROM \"n12\"\nGROUP BY \"feature_2\"\nORDER BY \"row_count\" DESC;","notes":"Grouped count by category on \"feature_2\" to inspect subgroup size distribution/stability."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7095091898fc7e4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7095091898fc7e4/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e753eb1920456777/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e753eb1920456777/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..9e78c8e921bb627398639bc37d8c0a22480704ee
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e753eb1920456777/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:52:57.003286+00:00",
+  "ended_at": "2026-05-19T15:52:59.971694+00:00",
+  "elapsed_ms": 2968.38,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4778,
+    "bytes_utf8": 4778,
+    "lines": 147,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e753eb1920456777/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e753eb1920456777/cli/sql_attempt_2.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..c121909b3c29881ff964f3b57b8f8d5aaddfb181
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e753eb1920456777/cli/sql_attempt_2.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:53:00.973558+00:00",
+  "ended_at": "2026-05-19T15:53:04.351203+00:00",
+  "elapsed_ms": 3377.6,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4778,
+    "bytes_utf8": 4778,
+    "lines": 147,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e753eb1920456777/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e753eb1920456777/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..97c4bdec0c72e5f7196fd4be83c306863a475cac
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e753eb1920456777/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,147 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=feature_2, condition_col=target.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "feature_2",
+    "condition_col": "target",
+    "condition_value": "1",
+    "positive_value": "1",
+    "negative_value": "2",
+    "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": 116.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e753eb1920456777/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e753eb1920456777/cli/sql_prompt_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..97c4bdec0c72e5f7196fd4be83c306863a475cac
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e753eb1920456777/cli/sql_prompt_attempt_2.txt
@@ -0,0 +1,147 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=feature_2, condition_col=target.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "feature_2",
+    "condition_col": "target",
+    "condition_value": "1",
+    "positive_value": "1",
+    "negative_value": "2",
+    "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": 116.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e753eb1920456777/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e753eb1920456777/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..ae57324dceca134205dc5ffac1a1e2037a8fdd95
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e753eb1920456777/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f0-b4a3-7991-a935-8a7da057690a"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e753eb1920456777/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e753eb1920456777/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8cbbf34cf876516d3a1f00806a24e1ea885cf4ef
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e753eb1920456777/cli/sql_response_attempt_1.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f0-b4a3-7991-a935-8a7da057690a"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e753eb1920456777/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e753eb1920456777/cli/sql_response_attempt_2.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..312f09e7c70d4bd68633c52fbb7e0343ed550194
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e753eb1920456777/cli/sql_response_attempt_2.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f0-c444-7710-8100-0b536fec977a"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e753eb1920456777/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e753eb1920456777/cli/sql_response_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..7acc521bf8fe296556e4dd3720c36985f80663ed
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e753eb1920456777/cli/sql_response_attempt_2.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f0-c444-7710-8100-0b536fec977a"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e753eb1920456777/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e753eb1920456777/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e753eb1920456777/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e753eb1920456777/cli/sql_stderr_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7a75a5dd0208412/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7a75a5dd0208412/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..3b3d82e9a2234c64e5ba880404cec50d7b28f21b
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7a75a5dd0208412/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4717, "bytes_utf8": 4717, "lines": 142, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 551, "bytes_utf8": 551, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13507, "cached_input_tokens": 12672, "output_tokens": 344, "reasoning_output_tokens": 187}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7a75a5dd0208412/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7a75a5dd0208412/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..e6ba70c3dbf17dc4df3a9ee4cb517082309083af
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7a75a5dd0208412/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_e7a75a5dd0208412",
+    "api_calls": 0,
+    "input_tokens": 13507,
+    "cached_input_tokens": 12672,
+    "output_tokens": 344,
+    "total_tokens": 13851,
+    "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": 8037.4,
+    "sql_execution_elapsed_ms_total": 316.16,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7a75a5dd0208412/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7a75a5dd0208412/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7a75a5dd0208412/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..ff78fa29dbbc9b599eb3069c5857a754b9631f93
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7a75a5dd0208412/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:40:19.280822+00:00",
+  "ended_at": "2026-05-19T15:40:27.318248+00:00",
+  "elapsed_ms": 8037.4,
+  "prompt_metrics": {
+    "chars": 4717,
+    "bytes_utf8": 4717,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 926,
+    "bytes_utf8": 926,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 551,
+      "bytes_utf8": 551,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13507,
+      "cached_input_tokens": 12672,
+      "output_tokens": 344,
+      "reasoning_output_tokens": 187
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7a75a5dd0208412/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7a75a5dd0208412/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a93f5a03f8d4afe58f83f0dd4ed5b3e9a5ef2bc8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7a75a5dd0208412/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_quantile_tail_slice",
+    "template_name": "Quantile Tail Slice",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "sql_skeleton": "WITH buckets AS (\n    SELECT {measure_col},\n           NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n    FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;",
+    "required_roles": [
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_3.",
+  "planned_template_id": "tpl_m4_quantile_tail_slice",
+  "bindings": {
+    "measure_col": "feature_3",
+    "top_k": 12,
+    "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": 186.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH buckets AS (\n    SELECT {measure_col},\n           NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n    FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7a75a5dd0208412/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7a75a5dd0208412/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0666c1fac1d87eb0463e191bf68f9ae8aedc5956
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7a75a5dd0208412/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e5-24e4-71f2-9ee7-2dc675453e6a"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n    SELECT CAST(\\\"feature_3\\\" AS INTEGER) AS \\\"feature_3\\\",\\n           NTILE(10) OVER (ORDER BY CAST(\\\"feature_3\\\" AS INTEGER) DESC) AS \\\"tail_bucket\\\"\\n    FROM \\\"n12\\\"\\n)\\nSELECT \\\"feature_3\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"feature_3\\\" DESC;\",\"notes\":\"Used the requested Quantile Tail Slice template with measure_col bound to \\\"feature_3\\\" and num_tiles=10. Cast \\\"feature_3\\\" to INTEGER because the schema stores values as TEXT but the role is numeric.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13507,"cached_input_tokens":12672,"output_tokens":344,"reasoning_output_tokens":187}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7a75a5dd0208412/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7a75a5dd0208412/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..68bd356a48a127b41dbfbde7e257ada3402d3ada
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7a75a5dd0208412/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n    SELECT CAST(\"feature_3\" AS INTEGER) AS \"feature_3\",\n           NTILE(10) OVER (ORDER BY CAST(\"feature_3\" AS INTEGER) DESC) AS \"tail_bucket\"\n    FROM \"n12\"\n)\nSELECT \"feature_3\"\nFROM buckets\nWHERE \"tail_bucket\" = 1\nORDER BY \"feature_3\" DESC;","notes":"Used the requested Quantile Tail Slice template with measure_col bound to \"feature_3\" and num_tiles=10. Cast \"feature_3\" to INTEGER because the schema stores values as TEXT but the role is numeric."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7a75a5dd0208412/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e7a75a5dd0208412/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e969d0b258f564a0/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e969d0b258f564a0/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..6d1957f176b8db7073c7529b9d791087edf0b053
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e969d0b258f564a0/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4634, "bytes_utf8": 4634, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 418, "bytes_utf8": 418, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13467, "cached_input_tokens": 12032, "output_tokens": 264, "reasoning_output_tokens": 153}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e969d0b258f564a0/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e969d0b258f564a0/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..8ed44c0c6c64f7b90538215ddb1f18c07f02deda
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e969d0b258f564a0/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_e969d0b258f564a0",
+    "api_calls": 0,
+    "input_tokens": 13467,
+    "cached_input_tokens": 12032,
+    "output_tokens": 264,
+    "total_tokens": 13731,
+    "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": 8211.22,
+    "sql_execution_elapsed_ms_total": 411.39,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e969d0b258f564a0/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e969d0b258f564a0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e969d0b258f564a0/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..5d0b82a00151ff058a4b80f7600f6bd1290d6a7d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e969d0b258f564a0/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:01:08.689940+00:00",
+  "ended_at": "2026-05-19T16:01:16.901197+00:00",
+  "elapsed_ms": 8211.22,
+  "prompt_metrics": {
+    "chars": 4634,
+    "bytes_utf8": 4634,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 773,
+    "bytes_utf8": 773,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 418,
+      "bytes_utf8": 418,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13467,
+      "cached_input_tokens": 12032,
+      "output_tokens": 264,
+      "reasoning_output_tokens": 153
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e969d0b258f564a0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e969d0b258f564a0/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3c7aa8c9bf1a476bbec79d4115b7f31e8f17d1a7
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e969d0b258f564a0/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=feature_3, measure_col=feature_1.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "feature_3",
+    "measure_col": "feature_1",
+    "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": 100.24,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e969d0b258f564a0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e969d0b258f564a0/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4786499a2c61858e4aa7b39df60468d2c4e791fb
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e969d0b258f564a0/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f8-355d-76a3-81e5-1ccb03a09d93"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n  \\\"feature_3\\\",\\n  AVG(CAST(\\\"feature_1\\\" AS REAL)) OVER (PARTITION BY \\\"feature_3\\\") AS avg_measure\\nFROM \\\"n12\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the planned Window Partition Average template with group_col=\\\"feature_3\\\" and measure_col=\\\"feature_1\\\". CAST to REAL is used because the schema stores numeric-looking fields as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13467,"cached_input_tokens":12032,"output_tokens":264,"reasoning_output_tokens":153}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e969d0b258f564a0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e969d0b258f564a0/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6f96b6bfca9f7454f243acb150bb85bd7014d4e2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e969d0b258f564a0/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT\n  \"feature_3\",\n  AVG(CAST(\"feature_1\" AS REAL)) OVER (PARTITION BY \"feature_3\") AS avg_measure\nFROM \"n12\"\nORDER BY avg_measure DESC;","notes":"Applied the planned Window Partition Average template with group_col=\"feature_3\" and measure_col=\"feature_1\". CAST to REAL is used because the schema stores numeric-looking fields as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e969d0b258f564a0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e969d0b258f564a0/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e9c7fdfee048d6a1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e9c7fdfee048d6a1/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..bb87cb7c5b6ded9f92e781331bfba44650a9e1e8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e9c7fdfee048d6a1/cli/conversation.jsonl
@@ -0,0 +1,4 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4789, "bytes_utf8": 4789, "lines": 147, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "}
+{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 4789, "bytes_utf8": 4789, "lines": 147, "estimated_tokens": null}}
+{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 366, "bytes_utf8": 366, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13513, "cached_input_tokens": 12672, "output_tokens": 283, "reasoning_output_tokens": 177}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e9c7fdfee048d6a1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e9c7fdfee048d6a1/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..f2580bb99cfebe86258e816bbd23b69944f96a81
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e9c7fdfee048d6a1/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 2,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_e9c7fdfee048d6a1",
+    "api_calls": 0,
+    "input_tokens": 13513,
+    "cached_input_tokens": 12672,
+    "output_tokens": 283,
+    "total_tokens": 13796,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 2,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 11811.13,
+    "sql_execution_elapsed_ms_total": 118.66,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e9c7fdfee048d6a1/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e9c7fdfee048d6a1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e9c7fdfee048d6a1/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..792edc496650f111ca317759a78f761992bffd99
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e9c7fdfee048d6a1/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:54:10.165117+00:00",
+  "ended_at": "2026-05-19T15:54:13.935372+00:00",
+  "elapsed_ms": 3770.22,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4789,
+    "bytes_utf8": 4789,
+    "lines": 147,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e9c7fdfee048d6a1/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e9c7fdfee048d6a1/cli/sql_attempt_2.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..0e509a358376e5a8798c23ba33bd2466a5705d4e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e9c7fdfee048d6a1/cli/sql_attempt_2.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:54:14.938224+00:00",
+  "ended_at": "2026-05-19T15:54:22.979179+00:00",
+  "elapsed_ms": 8040.91,
+  "prompt_metrics": {
+    "chars": 4789,
+    "bytes_utf8": 4789,
+    "lines": 147,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 721,
+    "bytes_utf8": 721,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 366,
+      "bytes_utf8": 366,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13513,
+      "cached_input_tokens": 12672,
+      "output_tokens": 283,
+      "reasoning_output_tokens": 177
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e9c7fdfee048d6a1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e9c7fdfee048d6a1/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6a71075482d0036f09d69dec6ff88de113483590
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e9c7fdfee048d6a1/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,147 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_1, condition_col=target.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "feature_1",
+    "condition_col": "target",
+    "condition_value": "2",
+    "positive_value": "1",
+    "negative_value": "2",
+    "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": 116.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e9c7fdfee048d6a1/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e9c7fdfee048d6a1/cli/sql_prompt_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6a71075482d0036f09d69dec6ff88de113483590
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e9c7fdfee048d6a1/cli/sql_prompt_attempt_2.txt
@@ -0,0 +1,147 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_1, condition_col=target.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "feature_1",
+    "condition_col": "target",
+    "condition_value": "2",
+    "positive_value": "1",
+    "negative_value": "2",
+    "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": 116.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e9c7fdfee048d6a1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e9c7fdfee048d6a1/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..14d04581af3b909171570dbb4c50da4d1bc6ae22
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e9c7fdfee048d6a1/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f1-d28f-7a32-a922-ad937e7e4f1c"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e9c7fdfee048d6a1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e9c7fdfee048d6a1/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e0b998e27fd4679e581b54497f1fb17677e0df28
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e9c7fdfee048d6a1/cli/sql_response_attempt_1.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f1-d28f-7a32-a922-ad937e7e4f1c"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e9c7fdfee048d6a1/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e9c7fdfee048d6a1/cli/sql_response_attempt_2.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1dca7ea513af5fd269f297d52e8b2510f130e444
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e9c7fdfee048d6a1/cli/sql_response_attempt_2.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f1-e53a-7140-980b-f83fc8e6e7d1"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"feature_1\\\",\\n       AVG(CASE WHEN \\\"target\\\" = '2' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_1\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Grouped condition rate query using \\\"feature_1\\\" as the grouping column and the share of rows with \\\"target\\\" = '2' as condition_rate.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13513,"cached_input_tokens":12672,"output_tokens":283,"reasoning_output_tokens":177}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e9c7fdfee048d6a1/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e9c7fdfee048d6a1/cli/sql_response_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8853454742b16a278d3694b69963ece8e15a9ef0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e9c7fdfee048d6a1/cli/sql_response_attempt_2.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"feature_1\",\n       AVG(CASE WHEN \"target\" = '2' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n12\"\nGROUP BY \"feature_1\"\nORDER BY condition_rate DESC;","notes":"Grouped condition rate query using \"feature_1\" as the grouping column and the share of rows with \"target\" = '2' as condition_rate."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e9c7fdfee048d6a1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e9c7fdfee048d6a1/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e9c7fdfee048d6a1/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_e9c7fdfee048d6a1/cli/sql_stderr_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ec44abae0ec73625/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ec44abae0ec73625/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..26c61ca323e8a37b1b3ceaa012cf6ad5003e778f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ec44abae0ec73625/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4792, "bytes_utf8": 4792, "lines": 147, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 378, "bytes_utf8": 378, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13514, "cached_input_tokens": 12672, "output_tokens": 338, "reasoning_output_tokens": 230}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ec44abae0ec73625/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ec44abae0ec73625/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..7586c4c6587678e6d0658d0d68ddf84d150d148a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ec44abae0ec73625/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_ec44abae0ec73625",
+    "api_calls": 0,
+    "input_tokens": 13514,
+    "cached_input_tokens": 12672,
+    "output_tokens": 338,
+    "total_tokens": 13852,
+    "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": 9946.16,
+    "sql_execution_elapsed_ms_total": 121.91,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ec44abae0ec73625/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ec44abae0ec73625/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ec44abae0ec73625/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..8bf90508533459b94b77a66e9e311d15643318f8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ec44abae0ec73625/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:52:33.782433+00:00",
+  "ended_at": "2026-05-19T15:52:43.728615+00:00",
+  "elapsed_ms": 9946.16,
+  "prompt_metrics": {
+    "chars": 4792,
+    "bytes_utf8": 4792,
+    "lines": 147,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 733,
+    "bytes_utf8": 733,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 378,
+      "bytes_utf8": 378,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13514,
+      "cached_input_tokens": 12672,
+      "output_tokens": 338,
+      "reasoning_output_tokens": 230
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ec44abae0ec73625/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ec44abae0ec73625/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..bc41d137efe817d4cdf6c00f4b5e16232ce721ac
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ec44abae0ec73625/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,147 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_1, condition_col=target.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "feature_1",
+    "condition_col": "target",
+    "condition_value": "1",
+    "positive_value": "1",
+    "negative_value": "2",
+    "top_k": 11,
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ec44abae0ec73625/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ec44abae0ec73625/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d553d1a6c2b6b29948a368c288f1aed42cba6e12
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ec44abae0ec73625/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f0-5a1f-7220-b0e0-8e47166678ee"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"feature_1\\\",\\n       AVG(CASE WHEN \\\"target\\\" = '1' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_1\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the Grouped Condition Rate template with \\\"feature_1\\\" as the grouping column and the within-group proportion of rows where \\\"target\\\" = '1'.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13514,"cached_input_tokens":12672,"output_tokens":338,"reasoning_output_tokens":230}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ec44abae0ec73625/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ec44abae0ec73625/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1d49d4777a08fd5574a39a4ac4f4767ce8c793b3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ec44abae0ec73625/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"feature_1\",\n       AVG(CASE WHEN \"target\" = '1' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n12\"\nGROUP BY \"feature_1\"\nORDER BY condition_rate DESC;","notes":"Uses the Grouped Condition Rate template with \"feature_1\" as the grouping column and the within-group proportion of rows where \"target\" = '1'."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ec44abae0ec73625/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ec44abae0ec73625/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_eca5e9f64fc62316/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_eca5e9f64fc62316/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..5de0dd121376cdd5f6fc340be68f4b63f71464dd
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_eca5e9f64fc62316/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4962, "bytes_utf8": 4962, "lines": 146, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 578, "bytes_utf8": 578, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13576, "cached_input_tokens": 12672, "output_tokens": 451, "reasoning_output_tokens": 278}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_eca5e9f64fc62316/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_eca5e9f64fc62316/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..0c73b1e031a427fabd22774827dd91bce9649f76
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_eca5e9f64fc62316/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_eca5e9f64fc62316",
+    "api_calls": 0,
+    "input_tokens": 13576,
+    "cached_input_tokens": 12672,
+    "output_tokens": 451,
+    "total_tokens": 14027,
+    "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": 10070.04,
+    "sql_execution_elapsed_ms_total": 239.33,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_eca5e9f64fc62316/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_eca5e9f64fc62316/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_eca5e9f64fc62316/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..1f0947dc4de54106854d8345db9442a16e6dbea8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_eca5e9f64fc62316/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:35:26.276048+00:00",
+  "ended_at": "2026-05-19T15:35:36.346118+00:00",
+  "elapsed_ms": 10070.04,
+  "prompt_metrics": {
+    "chars": 4962,
+    "bytes_utf8": 4962,
+    "lines": 146,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 962,
+    "bytes_utf8": 962,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 578,
+      "bytes_utf8": 578,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13576,
+      "cached_input_tokens": 12672,
+      "output_tokens": 451,
+      "reasoning_output_tokens": 278
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_eca5e9f64fc62316/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_eca5e9f64fc62316/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..cdd4b3bfebdb149f3cd09ea92ce0512f30cd3244
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_eca5e9f64fc62316/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,146 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "required_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_2, measure_col=feature_3.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "feature_2",
+    "measure_col": "feature_3",
+    "item_col": "feature_1",
+    "top_k": 19,
+    "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": 163.32,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_eca5e9f64fc62316/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_eca5e9f64fc62316/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..fac0f2692ca8277064942eb2fb3b97446be8e9f2
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_eca5e9f64fc62316/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e0-ac56-77c2-90bf-3a1977bc487b"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"feature_2\\\", \\\"feature_1\\\",\\n       SUM(CAST(\\\"feature_3\\\" AS REAL)) AS total_measure,\\n       SUM(CAST(\\\"feature_3\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_3\\\" AS REAL))) OVER (PARTITION BY \\\"feature_2\\\") AS share_within_group\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_2\\\", \\\"feature_1\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the provided template with group_col=\\\"feature_2\\\", item_col=\\\"feature_1\\\", and measure_col=\\\"feature_3\\\". Cast \\\"feature_3\\\" from TEXT to REAL for numeric aggregation in SQLite.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13576,"cached_input_tokens":12672,"output_tokens":451,"reasoning_output_tokens":278}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_eca5e9f64fc62316/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_eca5e9f64fc62316/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4e6a8379084a464795e99b7d1bc093920095a499
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_eca5e9f64fc62316/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"feature_2\", \"feature_1\",\n       SUM(CAST(\"feature_3\" AS REAL)) AS total_measure,\n       SUM(CAST(\"feature_3\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_3\" AS REAL))) OVER (PARTITION BY \"feature_2\") AS share_within_group\nFROM \"n12\"\nGROUP BY \"feature_2\", \"feature_1\"\nORDER BY share_within_group DESC;","notes":"Used the provided template with group_col=\"feature_2\", item_col=\"feature_1\", and measure_col=\"feature_3\". Cast \"feature_3\" from TEXT to REAL for numeric aggregation in SQLite."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_eca5e9f64fc62316/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_eca5e9f64fc62316/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f13a0396152567a3/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f13a0396152567a3/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..ffac9d5af9cc0bbe44b8d2492072969425218499
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f13a0396152567a3/cli/conversation.jsonl
@@ -0,0 +1,4 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4537, "bytes_utf8": 4537, "lines": 142, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "}
+{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 4537, "bytes_utf8": 4537, "lines": 142, "estimated_tokens": null}}
+{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 365, "bytes_utf8": 365, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13463, "cached_input_tokens": 12032, "output_tokens": 623, "reasoning_output_tokens": 516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f13a0396152567a3/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f13a0396152567a3/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..0ff42ad94178898d74bd2d1bae2527e21185a7b1
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f13a0396152567a3/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 2,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_f13a0396152567a3",
+    "api_calls": 0,
+    "input_tokens": 13463,
+    "cached_input_tokens": 12032,
+    "output_tokens": 623,
+    "total_tokens": 14086,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 2,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 20054.48,
+    "sql_execution_elapsed_ms_total": 111.08,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f13a0396152567a3/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f13a0396152567a3/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f13a0396152567a3/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..cf7b3a4e29203e9cd2b1ca80e05c70da7d37beea
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f13a0396152567a3/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:56:19.091974+00:00",
+  "ended_at": "2026-05-19T15:56:22.195427+00:00",
+  "elapsed_ms": 3103.43,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 4537,
+    "bytes_utf8": 4537,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f13a0396152567a3/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f13a0396152567a3/cli/sql_attempt_2.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..17443f3392f7c7ad295f3913351dd32a1baa7eaa
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f13a0396152567a3/cli/sql_attempt_2.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:56:23.197632+00:00",
+  "ended_at": "2026-05-19T15:56:40.148733+00:00",
+  "elapsed_ms": 16951.05,
+  "prompt_metrics": {
+    "chars": 4537,
+    "bytes_utf8": 4537,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 726,
+    "bytes_utf8": 726,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 365,
+      "bytes_utf8": 365,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13463,
+      "cached_input_tokens": 12032,
+      "output_tokens": 623,
+      "reasoning_output_tokens": 516
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f13a0396152567a3/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f13a0396152567a3/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..55908aad0a838f48c9715a97ad770b02617d6a79
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f13a0396152567a3/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=feature_1.",
+  "planned_template_id": "tpl_tail_low_support_group_count_v2",
+  "bindings": {
+    "group_col": "feature_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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f13a0396152567a3/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f13a0396152567a3/cli/sql_prompt_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..55908aad0a838f48c9715a97ad770b02617d6a79
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f13a0396152567a3/cli/sql_prompt_attempt_2.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=feature_1.",
+  "planned_template_id": "tpl_tail_low_support_group_count_v2",
+  "bindings": {
+    "group_col": "feature_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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f13a0396152567a3/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f13a0396152567a3/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..76ba5347480ce63e92c071d67a06680ce94889c0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f13a0396152567a3/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f3-ca2f-7c12-8daf-01aee3fa369e"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f13a0396152567a3/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f13a0396152567a3/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..7284e5a786a82a70688f8d9ae1bfc137d71c50f0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f13a0396152567a3/cli/sql_response_attempt_1.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f3-ca2f-7c12-8daf-01aee3fa369e"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f13a0396152567a3/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f13a0396152567a3/cli/sql_response_attempt_2.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9fcffa926d21ddac768f07dc295957f4a57baa28
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f13a0396152567a3/cli/sql_response_attempt_2.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f3-da35-7690-94ec-d34e12ba9668"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n  \\\"feature_1\\\",\\n  COUNT(*) AS \\\"support\\\"\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_1\\\"\\nORDER BY \\\"support\\\" ASC, \\\"feature_1\\\"\\nLIMIT 15;\",\"notes\":\"Implements the Low-Support Group Count template with group_col bound to \\\"feature_1\\\", returning the 15 feature_1 values with the smallest row counts.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13463,"cached_input_tokens":12032,"output_tokens":623,"reasoning_output_tokens":516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f13a0396152567a3/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f13a0396152567a3/cli/sql_response_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d44f60d2052a00deec1a9a72c935759fea262187
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f13a0396152567a3/cli/sql_response_attempt_2.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n  \"feature_1\",\n  COUNT(*) AS \"support\"\nFROM \"n12\"\nGROUP BY \"feature_1\"\nORDER BY \"support\" ASC, \"feature_1\"\nLIMIT 15;","notes":"Implements the Low-Support Group Count template with group_col bound to \"feature_1\", returning the 15 feature_1 values with the smallest row counts."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f13a0396152567a3/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f13a0396152567a3/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f13a0396152567a3/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f13a0396152567a3/cli/sql_stderr_attempt_2.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f475fef85c4d3a5c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f475fef85c4d3a5c/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..4b5c98cf4b7dbf3ac6a389ed81662a2293c7457c
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f475fef85c4d3a5c/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4792, "bytes_utf8": 4792, "lines": 147, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 349, "bytes_utf8": 349, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13514, "cached_input_tokens": 12672, "output_tokens": 354, "reasoning_output_tokens": 253}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f475fef85c4d3a5c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f475fef85c4d3a5c/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..936fd6b5e5e5038915c3ceeb2e32bf1d39b04eed
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f475fef85c4d3a5c/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_f475fef85c4d3a5c",
+    "api_calls": 0,
+    "input_tokens": 13514,
+    "cached_input_tokens": 12672,
+    "output_tokens": 354,
+    "total_tokens": 13868,
+    "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": 9868.42,
+    "sql_execution_elapsed_ms_total": 123.49,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f475fef85c4d3a5c/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f475fef85c4d3a5c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f475fef85c4d3a5c/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..e62bb10d3ce021f18f0d39c931d31e8587129fc3
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f475fef85c4d3a5c/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:54:00.165300+00:00",
+  "ended_at": "2026-05-19T15:54:10.033751+00:00",
+  "elapsed_ms": 9868.42,
+  "prompt_metrics": {
+    "chars": 4792,
+    "bytes_utf8": 4792,
+    "lines": 147,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 704,
+    "bytes_utf8": 704,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 349,
+      "bytes_utf8": 349,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13514,
+      "cached_input_tokens": 12672,
+      "output_tokens": 354,
+      "reasoning_output_tokens": 253
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f475fef85c4d3a5c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f475fef85c4d3a5c/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3b19b9b070332e0afe89b8258d27b4ec2a93725f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f475fef85c4d3a5c/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,147 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_1, condition_col=target.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "feature_1",
+    "condition_col": "target",
+    "condition_value": "1",
+    "positive_value": "1",
+    "negative_value": "2",
+    "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": 116.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f475fef85c4d3a5c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f475fef85c4d3a5c/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9548c823067e1470993c37ee2364739d5812f634
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f475fef85c4d3a5c/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f1-ab8e-74d3-9df3-ee52e51ba16f"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"feature_1\\\",\\n       AVG(CASE WHEN \\\"target\\\" = '1' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_1\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Grouped by \\\"feature_1\\\" and computed the within-group proportion where \\\"target\\\" = '1' using the selected template.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13514,"cached_input_tokens":12672,"output_tokens":354,"reasoning_output_tokens":253}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f475fef85c4d3a5c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f475fef85c4d3a5c/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a6ba16cb5b87a192b474c8b05081e48ecafa5d75
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f475fef85c4d3a5c/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"feature_1\",\n       AVG(CASE WHEN \"target\" = '1' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n12\"\nGROUP BY \"feature_1\"\nORDER BY condition_rate DESC;","notes":"Grouped by \"feature_1\" and computed the within-group proportion where \"target\" = '1' using the selected template."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f475fef85c4d3a5c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f475fef85c4d3a5c/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f49c606e542a7bd6/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f49c606e542a7bd6/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..b38a9e7979b036d981e6fa6ca1b4d5c4b40a5610
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f49c606e542a7bd6/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4483, "bytes_utf8": 4483, "lines": 142, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 364, "bytes_utf8": 364, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13443, "cached_input_tokens": 12672, "output_tokens": 366, "reasoning_output_tokens": 256}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f49c606e542a7bd6/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f49c606e542a7bd6/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..3854040055e3ed8d9214dff4a6cba1b4175a6cac
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f49c606e542a7bd6/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_f49c606e542a7bd6",
+    "api_calls": 0,
+    "input_tokens": 13443,
+    "cached_input_tokens": 12672,
+    "output_tokens": 366,
+    "total_tokens": 13809,
+    "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": 9466.79,
+    "sql_execution_elapsed_ms_total": 22.58,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f49c606e542a7bd6/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f49c606e542a7bd6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f49c606e542a7bd6/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..1dacdb58877e1b75927933c9cc8225ad9ab57fd4
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f49c606e542a7bd6/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:55:44.977813+00:00",
+  "ended_at": "2026-05-19T15:55:54.444639+00:00",
+  "elapsed_ms": 9466.79,
+  "prompt_metrics": {
+    "chars": 4483,
+    "bytes_utf8": 4483,
+    "lines": 142,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 712,
+    "bytes_utf8": 712,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 364,
+      "bytes_utf8": 364,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13443,
+      "cached_input_tokens": 12672,
+      "output_tokens": 366,
+      "reasoning_output_tokens": 256
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f49c606e542a7bd6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f49c606e542a7bd6/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e18656c17e81b7702f395f0f3ed4e0c0dcea4bb6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f49c606e542a7bd6/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,142 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_threshold_rarity_cdf",
+    "template_name": "Threshold Rarity CDF",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};",
+    "required_roles": [
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_2.",
+  "planned_template_id": "tpl_threshold_rarity_cdf",
+  "bindings": {
+    "measure_col": "feature_2",
+    "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": 116.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f49c606e542a7bd6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f49c606e542a7bd6/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..551bb03f669e80801f6e70e37f54ccc597e81fab
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f49c606e542a7bd6/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f3-44e3-7a63-bcec-32bbe4c101a5"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"feature_2\\\" AS REAL) <= 116.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"n12\\\";\",\"notes\":\"Used the requested Threshold Rarity CDF template with measure_col bound to \\\"feature_2\\\" and threshold 116.0. Casted \\\"feature_2\\\" to REAL because the schema stores it as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13443,"cached_input_tokens":12672,"output_tokens":366,"reasoning_output_tokens":256}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f49c606e542a7bd6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f49c606e542a7bd6/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b3ce5ae53efa2f4444ab45aaa591e605d56c7e02
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f49c606e542a7bd6/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"feature_2\" AS REAL) <= 116.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"n12\";","notes":"Used the requested Threshold Rarity CDF template with measure_col bound to \"feature_2\" and threshold 116.0. Casted \"feature_2\" to REAL because the schema stores it as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f49c606e542a7bd6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f49c606e542a7bd6/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f60cb8b776bf73fd/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f60cb8b776bf73fd/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..714ead94b7e89c42a72d9f957ddea5e7a74d05ec
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f60cb8b776bf73fd/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4545, "bytes_utf8": 4545, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 378, "bytes_utf8": 378, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13452, "cached_input_tokens": 12032, "output_tokens": 441, "reasoning_output_tokens": 340}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f60cb8b776bf73fd/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f60cb8b776bf73fd/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..457be476232610cedb1dc620377ca4ef41e1ed77
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f60cb8b776bf73fd/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_f60cb8b776bf73fd",
+    "api_calls": 0,
+    "input_tokens": 13452,
+    "cached_input_tokens": 12032,
+    "output_tokens": 441,
+    "total_tokens": 13893,
+    "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": 13564.78,
+    "sql_execution_elapsed_ms_total": 93.84,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f60cb8b776bf73fd/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f60cb8b776bf73fd/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f60cb8b776bf73fd/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..3b7023ca11613256819a8d1ffc9bac7edda04fb0
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f60cb8b776bf73fd/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:29:35.122668+00:00",
+  "ended_at": "2026-05-19T15:29:48.687484+00:00",
+  "elapsed_ms": 13564.78,
+  "prompt_metrics": {
+    "chars": 4545,
+    "bytes_utf8": 4545,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 740,
+    "bytes_utf8": 740,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 378,
+      "bytes_utf8": 378,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13452,
+      "cached_input_tokens": 12032,
+      "output_tokens": 441,
+      "reasoning_output_tokens": 340
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f60cb8b776bf73fd/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f60cb8b776bf73fd/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..fb7e92ce0c03cd890f454dd34aa61553c0607e63
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f60cb8b776bf73fd/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=target, measure_col=feature_1.",
+  "planned_template_id": "tpl_h2o_group_sum",
+  "bindings": {
+    "group_col": "target",
+    "measure_col": "feature_1",
+    "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": 100.24,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f60cb8b776bf73fd/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f60cb8b776bf73fd/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..abb6a12598ae12cda827289cb96b29c0066fda04
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f60cb8b776bf73fd/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40db-50a0-7521-83a2-91c2c6d629d9"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"target\\\", SUM(CAST(\\\"feature_1\\\" AS INTEGER)) AS \\\"total_measure\\\"\\nFROM \\\"n12\\\"\\nGROUP BY \\\"target\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Uses the requested Grouped Numeric Sum template with group_col=\\\"target\\\" and measure_col=\\\"feature_1\\\". CAST is applied because the schema stores numeric-looking values as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13452,"cached_input_tokens":12032,"output_tokens":441,"reasoning_output_tokens":340}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f60cb8b776bf73fd/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f60cb8b776bf73fd/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1cb340c8e6556246f40a5bf1a8ded802e825ee75
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f60cb8b776bf73fd/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"target\", SUM(CAST(\"feature_1\" AS INTEGER)) AS \"total_measure\"\nFROM \"n12\"\nGROUP BY \"target\"\nORDER BY \"total_measure\" DESC;","notes":"Uses the requested Grouped Numeric Sum template with group_col=\"target\" and measure_col=\"feature_1\". CAST is applied because the schema stores numeric-looking values as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f60cb8b776bf73fd/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f60cb8b776bf73fd/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f66b622a405641dc/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f66b622a405641dc/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..e73b96ac66163f1636e02b2d3c8d8835aaa64ee1
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f66b622a405641dc/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4727, "bytes_utf8": 4727, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 483, "bytes_utf8": 483, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13494, "cached_input_tokens": 12672, "output_tokens": 808, "reasoning_output_tokens": 685}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f66b622a405641dc/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f66b622a405641dc/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..36cbe93ede5d877ca53934aeb6671bc8b66d71c6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f66b622a405641dc/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_f66b622a405641dc",
+    "api_calls": 0,
+    "input_tokens": 13494,
+    "cached_input_tokens": 12672,
+    "output_tokens": 808,
+    "total_tokens": 14302,
+    "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": 15969.27,
+    "sql_execution_elapsed_ms_total": 96.03,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f66b622a405641dc/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f66b622a405641dc/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f66b622a405641dc/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..44a27fa6d3848c8f6d769267a8366063289dc40e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f66b622a405641dc/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:46:49.985867+00:00",
+  "ended_at": "2026-05-19T15:47:05.955181+00:00",
+  "elapsed_ms": 15969.27,
+  "prompt_metrics": {
+    "chars": 4727,
+    "bytes_utf8": 4727,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 839,
+    "bytes_utf8": 839,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 483,
+      "bytes_utf8": 483,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13494,
+      "cached_input_tokens": 12672,
+      "output_tokens": 808,
+      "reasoning_output_tokens": 685
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f66b622a405641dc/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f66b622a405641dc/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..deed04b7b72b35733a620442224ac7233fa78316
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f66b622a405641dc/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=feature_3, measure_col=feature_3.",
+  "planned_template_id": "tpl_grouped_percentile_point",
+  "bindings": {
+    "group_col": "feature_3",
+    "measure_col": "feature_3",
+    "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": 186.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f66b622a405641dc/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f66b622a405641dc/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..bb2e621004c977038818e1b95111faed1e541e9d
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f66b622a405641dc/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40eb-1b77-7102-af0b-f3e1206830e0"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nSELECT\\n  \\\"feature_3\\\",\\n  CAST(\\\"feature_3\\\" AS REAL) AS percentile_measure\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_3\\\"\\nORDER BY percentile_measure DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT. Since both group_col and measure_col are \\\"feature_3\\\", the 95th percentile within each \\\"feature_3\\\" group is the group's own numeric value, so this preserves the intended grouped-percentile shape with SQLite-compatible SQL.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13494,"cached_input_tokens":12672,"output_tokens":808,"reasoning_output_tokens":685}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f66b622a405641dc/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f66b622a405641dc/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..54ffbc1c47b0c251338eb633a0cdd2d33c393708
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f66b622a405641dc/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_grouped_percentile_point\nSELECT\n  \"feature_3\",\n  CAST(\"feature_3\" AS REAL) AS percentile_measure\nFROM \"n12\"\nGROUP BY \"feature_3\"\nORDER BY percentile_measure DESC;","notes":"SQLite does not support PERCENTILE_CONT. Since both group_col and measure_col are \"feature_3\", the 95th percentile within each \"feature_3\" group is the group's own numeric value, so this preserves the intended grouped-percentile shape with SQLite-compatible SQL."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f66b622a405641dc/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f66b622a405641dc/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9b1f63e30161d1e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9b1f63e30161d1e/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..80f60a089f6d033286de806d059ee0d79d4abb2f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9b1f63e30161d1e/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4725, "bytes_utf8": 4725, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 597, "bytes_utf8": 597, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13494, "cached_input_tokens": 12672, "output_tokens": 1711, "reasoning_output_tokens": 1552}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9b1f63e30161d1e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9b1f63e30161d1e/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..098319c5620f32677af5e3d7eb82fbf23ae80723
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9b1f63e30161d1e/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_f9b1f63e30161d1e",
+    "api_calls": 0,
+    "input_tokens": 13494,
+    "cached_input_tokens": 12672,
+    "output_tokens": 1711,
+    "total_tokens": 15205,
+    "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": 28652.87,
+    "sql_execution_elapsed_ms_total": 98.59,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9b1f63e30161d1e/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9b1f63e30161d1e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9b1f63e30161d1e/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..addcbdd410b9072e05b4d8926772d9c427d655bd
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9b1f63e30161d1e/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:45:58.255451+00:00",
+  "ended_at": "2026-05-19T15:46:26.908345+00:00",
+  "elapsed_ms": 28652.87,
+  "prompt_metrics": {
+    "chars": 4725,
+    "bytes_utf8": 4725,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 969,
+    "bytes_utf8": 969,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 597,
+      "bytes_utf8": 597,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13494,
+      "cached_input_tokens": 12672,
+      "output_tokens": 1711,
+      "reasoning_output_tokens": 1552
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9b1f63e30161d1e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9b1f63e30161d1e/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8fb46c8aaadc3484b31c0cb48b4dbd7db815f6ee
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9b1f63e30161d1e/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=feature_2, measure_col=feature_2.",
+  "planned_template_id": "tpl_grouped_percentile_point",
+  "bindings": {
+    "group_col": "feature_2",
+    "measure_col": "feature_2",
+    "top_k": 10,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 116.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9b1f63e30161d1e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9b1f63e30161d1e/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..933317e5fb93ef1827f8d2f2664df350ede89694
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9b1f63e30161d1e/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40ea-510b-77b0-9f3e-3b0ca5deae8b"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nSELECT\\n  \\\"feature_2\\\" AS \\\"feature_2\\\",\\n  CAST(\\\"feature_2\\\" AS REAL) AS \\\"percentile_measure\\\"\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_2\\\"\\nHAVING COUNT(*) >= 5\\nORDER BY \\\"percentile_measure\\\" DESC\\nLIMIT 10;\",\"notes\":\"SQLite does not support PERCENTILE_CONT. Because both the grouping column and measure column are \\\"feature_2\\\", each group's 90th-percentile value is the same as that group's numeric \\\"feature_2\\\" value; the query preserves the grouped ranking intent, applies the provided minimum group size, and returns the top 10 groups.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13494,"cached_input_tokens":12672,"output_tokens":1711,"reasoning_output_tokens":1552}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9b1f63e30161d1e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9b1f63e30161d1e/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b0f47b6b1cd18731b046f41c46dbd0d89af879a6
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9b1f63e30161d1e/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_grouped_percentile_point\nSELECT\n  \"feature_2\" AS \"feature_2\",\n  CAST(\"feature_2\" AS REAL) AS \"percentile_measure\"\nFROM \"n12\"\nGROUP BY \"feature_2\"\nHAVING COUNT(*) >= 5\nORDER BY \"percentile_measure\" DESC\nLIMIT 10;","notes":"SQLite does not support PERCENTILE_CONT. Because both the grouping column and measure column are \"feature_2\", each group's 90th-percentile value is the same as that group's numeric \"feature_2\" value; the query preserves the grouped ranking intent, applies the provided minimum group size, and returns the top 10 groups."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9b1f63e30161d1e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9b1f63e30161d1e/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9de67cfb6554006/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9de67cfb6554006/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..a8e490e0f2e6ef89a372a78e97f6bbc859de008f
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9de67cfb6554006/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4728, "bytes_utf8": 4728, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 559, "bytes_utf8": 559, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13494, "cached_input_tokens": 12672, "output_tokens": 1534, "reasoning_output_tokens": 1384}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9de67cfb6554006/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9de67cfb6554006/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..c8f042980bf496183fbe0a05875c0c9bcbf165a4
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9de67cfb6554006/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_f9de67cfb6554006",
+    "api_calls": 0,
+    "input_tokens": 13494,
+    "cached_input_tokens": 12672,
+    "output_tokens": 1534,
+    "total_tokens": 15028,
+    "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": 26238.82,
+    "sql_execution_elapsed_ms_total": 100.92,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9de67cfb6554006/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9de67cfb6554006/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9de67cfb6554006/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..e9ddc7504b9ff92ead36b8f0f94ea39a259bc142
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9de67cfb6554006/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:45:31.907592+00:00",
+  "ended_at": "2026-05-19T15:45:58.146438+00:00",
+  "elapsed_ms": 26238.82,
+  "prompt_metrics": {
+    "chars": 4728,
+    "bytes_utf8": 4728,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 927,
+    "bytes_utf8": 927,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 559,
+      "bytes_utf8": 559,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13494,
+      "cached_input_tokens": 12672,
+      "output_tokens": 1534,
+      "reasoning_output_tokens": 1384
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9de67cfb6554006/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9de67cfb6554006/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..dbdf129e572e803b3b64c79561806c700e3ee007
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9de67cfb6554006/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=feature_1, measure_col=feature_1.",
+  "planned_template_id": "tpl_grouped_percentile_point",
+  "bindings": {
+    "group_col": "feature_1",
+    "measure_col": "feature_1",
+    "top_k": 19,
+    "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": 100.24,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9de67cfb6554006/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9de67cfb6554006/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b7395c783287ef84ab5560bc668d4a88943dea8e
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9de67cfb6554006/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e9-ea0d-73d3-8068-6689b5c10141"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nSELECT\\n  \\\"feature_1\\\",\\n  CAST(\\\"feature_1\\\" AS REAL) AS \\\"percentile_measure\\\"\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_1\\\"\\nHAVING COUNT(*) >= 5\\nORDER BY \\\"percentile_measure\\\" DESC\\nLIMIT 19;\",\"notes\":\"SQLite does not support PERCENTILE_CONT directly. Here the bound group and measure are both \\\"feature_1\\\", so the 0.9 percentile within each group reduces to that group's numeric \\\"feature_1\\\" value. The CAST keeps ordering numeric, and the query applies the provided min_group_size and top_k bindings.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13494,"cached_input_tokens":12672,"output_tokens":1534,"reasoning_output_tokens":1384}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9de67cfb6554006/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9de67cfb6554006/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..741744ee21ab892b86eed3a599a6bd0a6bdcc537
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9de67cfb6554006/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_grouped_percentile_point\nSELECT\n  \"feature_1\",\n  CAST(\"feature_1\" AS REAL) AS \"percentile_measure\"\nFROM \"n12\"\nGROUP BY \"feature_1\"\nHAVING COUNT(*) >= 5\nORDER BY \"percentile_measure\" DESC\nLIMIT 19;","notes":"SQLite does not support PERCENTILE_CONT directly. Here the bound group and measure are both \"feature_1\", so the 0.9 percentile within each group reduces to that group's numeric \"feature_1\" value. The CAST keeps ordering numeric, and the query applies the provided min_group_size and top_k bindings."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9de67cfb6554006/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_f9de67cfb6554006/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_fa8a1c08845b70e8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_fa8a1c08845b70e8/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..bbd2bb6dd8dac82efe833e773b4dfe22282736f8
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_fa8a1c08845b70e8/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4551, "bytes_utf8": 4551, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 406, "bytes_utf8": 406, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13456, "cached_input_tokens": 12032, "output_tokens": 631, "reasoning_output_tokens": 516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_fa8a1c08845b70e8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_fa8a1c08845b70e8/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..4fa54cd7c3a85a3c4112a0ae825254026c1990af
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_fa8a1c08845b70e8/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_fa8a1c08845b70e8",
+    "api_calls": 0,
+    "input_tokens": 13456,
+    "cached_input_tokens": 12032,
+    "output_tokens": 631,
+    "total_tokens": 14087,
+    "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": 12582.63,
+    "sql_execution_elapsed_ms_total": 114.14,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_fa8a1c08845b70e8/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_fa8a1c08845b70e8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_fa8a1c08845b70e8/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..0b0eb6b937664a8290887dcfc9bf636a2828c9a1
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_fa8a1c08845b70e8/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:30:29.048913+00:00",
+  "ended_at": "2026-05-19T15:30:41.631571+00:00",
+  "elapsed_ms": 12582.63,
+  "prompt_metrics": {
+    "chars": 4551,
+    "bytes_utf8": 4551,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 772,
+    "bytes_utf8": 772,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 406,
+      "bytes_utf8": 406,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13456,
+      "cached_input_tokens": 12032,
+      "output_tokens": 631,
+      "reasoning_output_tokens": 516
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_fa8a1c08845b70e8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_fa8a1c08845b70e8/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9859f12e383b646123036817d2e5afd01fcf959a
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_fa8a1c08845b70e8/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_2, measure_col=feature_3.",
+  "planned_template_id": "tpl_h2o_group_sum",
+  "bindings": {
+    "group_col": "feature_2",
+    "measure_col": "feature_3",
+    "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": 163.32,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_fa8a1c08845b70e8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_fa8a1c08845b70e8/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..fd18e2a8b2514fbd08a66f64a95c3dce26c61644
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_fa8a1c08845b70e8/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40dc-2349-7f10-8e2a-be3912cbb8c3"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_2\\\", SUM(CAST(\\\"feature_3\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_2\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the required Grouped Numeric Sum template with group_col=\\\"feature_2\\\" and measure_col=\\\"feature_3\\\". CAST(\\\"feature_3\\\" AS REAL) is used because the schema stores numeric-looking values as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13456,"cached_input_tokens":12032,"output_tokens":631,"reasoning_output_tokens":516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_fa8a1c08845b70e8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_fa8a1c08845b70e8/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..aac5e4e076cc10c532165b8fd096f32204dbfe85
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_fa8a1c08845b70e8/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"feature_2\", SUM(CAST(\"feature_3\" AS REAL)) AS \"total_measure\"\nFROM \"n12\"\nGROUP BY \"feature_2\"\nORDER BY \"total_measure\" DESC;","notes":"Applied the required Grouped Numeric Sum template with group_col=\"feature_2\" and measure_col=\"feature_3\". CAST(\"feature_3\" AS REAL) is used because the schema stores numeric-looking values as TEXT."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_fa8a1c08845b70e8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_fa8a1c08845b70e8/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ff2dc05cf1a6c80a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ff2dc05cf1a6c80a/cli/conversation.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..a30d8b190549dc49f8c1127487befca25514dd68
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ff2dc05cf1a6c80a/cli/conversation.jsonl
@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4727, "bytes_utf8": 4727, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 950, "bytes_utf8": 950, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13494, "cached_input_tokens": 12672, "output_tokens": 809, "reasoning_output_tokens": 516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ff2dc05cf1a6c80a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ff2dc05cf1a6c80a/cli/session_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..b698f28131d98fd3496584a3cb0e8a8aa12cd303
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ff2dc05cf1a6c80a/cli/session_summary.json
@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_ff2dc05cf1a6c80a",
+    "api_calls": 0,
+    "input_tokens": 13494,
+    "cached_input_tokens": 12672,
+    "output_tokens": 809,
+    "total_tokens": 14303,
+    "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": 15777.24,
+    "sql_execution_elapsed_ms_total": 541.84,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ff2dc05cf1a6c80a/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ff2dc05cf1a6c80a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ff2dc05cf1a6c80a/cli/sql_attempt_1.metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..82bdf6d1f80120527ccb1ec0d2b36890c60f8009
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ff2dc05cf1a6c80a/cli/sql_attempt_1.metadata.json
@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:50:34.062354+00:00",
+  "ended_at": "2026-05-19T15:50:49.839621+00:00",
+  "elapsed_ms": 15777.24,
+  "prompt_metrics": {
+    "chars": 4727,
+    "bytes_utf8": 4727,
+    "lines": 144,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1414,
+    "bytes_utf8": 1414,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 950,
+      "bytes_utf8": 950,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13494,
+      "cached_input_tokens": 12672,
+      "output_tokens": 809,
+      "reasoning_output_tokens": 516
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ff2dc05cf1a6c80a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ff2dc05cf1a6c80a/cli/sql_prompt_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0aadc8fe358b88ac6a00d318ea6a3b782f74ab65
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ff2dc05cf1a6c80a/cli/sql_prompt_attempt_1.txt
@@ -0,0 +1,144 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=feature_3, measure_col=feature_1.",
+  "planned_template_id": "tpl_grouped_percentile_point",
+  "bindings": {
+    "group_col": "feature_3",
+    "measure_col": "feature_1",
+    "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": 115.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;"
+}
+
+Repair context:
+{}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ff2dc05cf1a6c80a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ff2dc05cf1a6c80a/cli/sql_response_attempt_1.raw.txt
new file mode 100644
index 0000000000000000000000000000000000000000..493c5dac5cb96c487432b86007ecc452101bc6b4
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ff2dc05cf1a6c80a/cli/sql_response_attempt_1.raw.txt
@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40ee-8667-7e91-98d3-2dda116ac406"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n  SELECT\\n    \\\"feature_3\\\" AS \\\"group_col\\\",\\n    CAST(\\\"feature_1\\\" AS REAL) AS \\\"measure_value\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY \\\"feature_3\\\"\\n      ORDER BY CAST(\\\"feature_1\\\" AS REAL)\\n    ) AS \\\"rn\\\",\\n    COUNT(*) OVER (PARTITION BY \\\"feature_3\\\") AS \\\"cnt\\\"\\n  FROM \\\"n12\\\"\\n  WHERE \\\"feature_3\\\" IS NOT NULL\\n    AND \\\"feature_1\\\" IS NOT NULL\\n),\\n\\\"percentile_points\\\" AS (\\n  SELECT\\n    \\\"group_col\\\",\\n    MIN(\\\"measure_value\\\") AS \\\"percentile_measure\\\"\\n  FROM \\\"ranked\\\"\\n  WHERE \\\"rn\\\" >= ((95 * \\\"cnt\\\" + 99) / 100)\\n  GROUP BY \\\"group_col\\\"\\n)\\nSELECT\\n  \\\"group_col\\\" AS \\\"feature_3\\\",\\n  \\\"percentile_measure\\\"\\nFROM \\\"percentile_points\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 95th percentile per \\\"feature_3\\\" group over numeric-cast \\\"feature_1\\\" values.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13494,"cached_input_tokens":12672,"output_tokens":809,"reasoning_output_tokens":516}}
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ff2dc05cf1a6c80a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ff2dc05cf1a6c80a/cli/sql_response_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..5001d35df91fe77a1d22b21f921f793ebcfdd5a4
--- /dev/null
+++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ff2dc05cf1a6c80a/cli/sql_response_attempt_1.txt
@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n  SELECT\n    \"feature_3\" AS \"group_col\",\n    CAST(\"feature_1\" AS REAL) AS \"measure_value\",\n    ROW_NUMBER() OVER (\n      PARTITION BY \"feature_3\"\n      ORDER BY CAST(\"feature_1\" AS REAL)\n    ) AS \"rn\",\n    COUNT(*) OVER (PARTITION BY \"feature_3\") AS \"cnt\"\n  FROM \"n12\"\n  WHERE \"feature_3\" IS NOT NULL\n    AND \"feature_1\" IS NOT NULL\n),\n\"percentile_points\" AS (\n  SELECT\n    \"group_col\",\n    MIN(\"measure_value\") AS \"percentile_measure\"\n  FROM \"ranked\"\n  WHERE \"rn\" >= ((95 * \"cnt\" + 99) / 100)\n  GROUP BY \"group_col\"\n)\nSELECT\n  \"group_col\" AS \"feature_3\",\n  \"percentile_measure\"\nFROM \"percentile_points\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 95th percentile per \"feature_3\" group over numeric-cast \"feature_1\" values."}
\ No newline at end of file
diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ff2dc05cf1a6c80a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_ff2dc05cf1a6c80a/cli/sql_stderr_attempt_1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391