a2a-source-edit: write agent.py

agent.py

@@ -403,17 +403,9 @@ def _score_quotes(comparison_id: str, quotes: list[QuoteInput], weights: QuoteWe
             }
         )
 
-    scored.sort(
-        key=lambda item: (
-            -item["scores"]["weighted_total"],
-            item["subtotal"],
-            item["delivery_days"],
-            -item["warranty_months"],
-            item["vendor"].lower(),
-        )
-    )
+    scored.sort(key=_score_sort_key)
     winner = scored[0]
-    baseline = min(scored, key=lambda item: item["subtotal"])
+    baseline = min(scored, key=_subtotal_key)
     rationale_bits = [
         f"{winner['vendor']} has the highest weighted score ({winner['scores']['weighted_total']:.2f}).",
         f"Its normalized total is {winner['subtotal']:.2f} for {winner['quantity']} units.",