src/app/agents/market_agent.py

@@ -71,17 +71,16 @@ class MarketAgent(Agent):
         results = []
         products: List[ProductInfo] = []
 
-        for sym in symbols:
         try:
-                product = self.toolkit.get_current_price(sym)  # supponiamo ritorni un ProductInfo o simile
+            products.extend(self.toolkit.get_current_prices(symbols))  # supponiamo ritorni un ProductInfo o simile
-                if isinstance(product, list):
+            # Usa list comprehension per iterare symbols e products insieme
-                    products.extend(product)
+            results.extend([
-                else:
+                f"{symbol}: ${product.price:.2f}" if hasattr(product,
-                    products.append(product)
+                                                             'price') and product.price else f"{symbol}: N/A"
-
+                for symbol, product in zip(symbols, products)
-                results.append(f"{sym}: {product.price if hasattr(product, 'price') else product}")
+            ])
         except Exception as e:
-                results.append(f"{sym}: errore ({e})")
+            results.extend(f"Errore: impossibile recuperare i dati di mercato\n {e}")
 
         # 4. Preparo output leggibile + metadati strutturati
         output_text = "📊 Dati di mercato:\n" + "\n".join(results)

src/app/toolkits/market_toolkit.py

@@ -16,15 +16,15 @@ class MarketToolkit(Toolkit):
             name="Market Toolkit",
             tools=[
                 self.get_historical_data,
-                self.get_current_price,
+                self.get_current_prices,
             ],
         )
 
     def get_historical_data(self, symbol: str):
         return self.market_api.get_historical_prices(symbol)
 
-    def get_current_price(self, symbol: str):
+    def get_current_prices(self, symbols: list):
-        return self.market_api.get_products(symbol)
+        return self.market_api.get_products(symbols)
 
 def prepare_inputs():
     pass