pre merge con phil

src/app/agents/market_agent.py

@@ -0,0 +1,35 @@
+
+from agno.agent import Agent
+from src.app.toolkits.market_toolkit import MarketToolkit
+
+
+class MarketAgent(Agent):
+    """
+    Wrapper che trasforma MarketToolkit in un Agent compatibile con Team.
+    Espone un metodo run(query) che restituisce dati di mercato.
+    """
+
+    def __init__(self, currency: str = "USD"):
+        self.toolkit = MarketToolkit()
+        self.currency = currency
+        self.name = "MarketAgent"
+
+    def run(self, query: str) -> str:
+        # Heuristica semplice: se la query cita simboli specifici, recupera quelli
+        symbols = []
+        for token in query.upper().split():
+            if token in ("BTC", "ETH", "XRP", "LTC", "BCH"):  # TODO: estendere dinamicamente
+                symbols.append(token)
+
+        if not symbols:
+            symbols = ["BTC", "ETH"]  # default
+
+        results = []
+        for sym in symbols:
+            try:
+                price = self.toolkit.get_current_price(sym)
+                results.append(f"{sym}: {price}")
+            except Exception as e:
+                results.append(f"{sym}: errore ({e})")
+
+        return "📊 Dati di mercato:\n" + "\n".join(results)

src/app/pipeline.py

@@ -1,11 +1,11 @@
 from app.agents.news_agent import NewsAgent
 from app.agents.social_agent import SocialAgent
-from app.agents.predictor import PredictorStyle, PredictorInput, PredictorOutput, PREDICTOR_INSTRUCTIONS
+from app.predictor import PredictorStyle, PredictorInput, PredictorOutput, PREDICTOR_INSTRUCTIONS
 from app.markets import MarketAPIs
 from app.models import AppModels
 from agno.utils.log import log_info
 
-class ToolAgent:
+class Pipeline:
     """
     Classe principale che coordina gli agenti per rispondere alle richieste dell'utente.
     """