♻️ refactor: Adaptando a lógica para buscar e os dados das tools no banco de dados e passar para o modelo.

app/main.py

@@ -6,3 +6,12 @@ app = FastAPI(title="AI Orquestrador")
 
 app.include_router(router)
 app.include_router(tool_router)
+
+
+@app.on_event("startup")
+def seed_on_startup():
+    try:
+        from app.db.tool_seed import seed_tools
+        seed_tools()
+    except Exception:
+        pass

app/services/orquestrador_service.py

@@ -1,12 +1,14 @@
+from sqlalchemy.orm import Session
+
 from app.services.llm_service import LLMService
 from app.services.tool_registry import ToolRegistry
 
 
 class OrquestradorService:
 
-    def __init__(self):
+    def __init__(self, db: Session):
-        self.llm = LLMService() # Instancia o serviço que conversa com o Gemini
+        self.llm = LLMService()
-        self.registry = ToolRegistry() # Instancia o registro de tools disponíveis no sistema
+        self.registry = ToolRegistry(db)
 
 
     """