verbose live UI + tool-level SSE events + Groq default + regression tests

api/datasets/financial/metrics.yaml

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+# Domain metrics for the financial schema. The planner reads this so it can
+# resolve a business term ("default rate", "loan volume") to a canonical SQL
+# expression instead of guessing.
+
+schema: financial
+
+metrics:
+  loan_default_rate:
+    description: Fraction of finished loans that ended in default (status 'B'). Excludes still-running loans.
+    sql: "AVG(CASE WHEN status = 'B' THEN 1.0 WHEN status = 'A' THEN 0.0 END)"
+    from_table: loan
+    filter: "status IN ('A','B')"
+    unit: ratio
+
+  at_risk_loan_share:
+    description: Of currently running loans, the share that are in debt (status 'D').
+    sql: "AVG(CASE WHEN status = 'D' THEN 1.0 WHEN status = 'C' THEN 0.0 END)"
+    from_table: loan
+    filter: "status IN ('C','D')"
+    unit: ratio
+
+  loan_volume:
+    description: Total CZK lent.
+    sql: "SUM(amount)"
+    from_table: loan
+    unit: CZK
+
+  average_loan_amount:
+    description: Mean loan size in CZK.
+    sql: "AVG(amount)"
+    from_table: loan
+    unit: CZK
+
+  transaction_volume:
+    description: Total CZK moved through transactions (credits + debits, absolute).
+    sql: "SUM(amount)"
+    from_table: trans
+    unit: CZK
+
+  active_accounts:
+    description: Distinct accounts with at least one transaction in the period.
+    sql: "COUNT(DISTINCT account_id)"
+    from_table: trans
+    unit: count
+
+  unemployment_rate_96:
+    description: District unemployment rate in 1996 (already a percentage).
+    sql: "A13"
+    from_table: district
+    unit: percent