fix typing hint

src/app/agents/action_registry.py

@@ -1,3 +1,6 @@
+from typing import Any, Callable
+
+
 # Registro centrale popolato da tutti i file Toolkit all'avvio.
 ACTION_DESCRIPTIONS: dict[str, str] = {}
 
@@ -9,7 +12,7 @@ def get_user_friendly_action(tool_name: str) -> str:
     # Usa il dizionario ACTION_DESCRIPTIONS importato
     return ACTION_DESCRIPTIONS.get(tool_name, f"⚙️ Eseguo l'operazione: {tool_name}...")
 
-def friendly_action(description: str):
+def friendly_action(description: str) -> Callable[..., Any]:
     """
     Decoratore che registra automaticamente la descrizione "user-friendly"
     di un metodo nel registro globale.
@@ -20,7 +23,7 @@ def friendly_action(description: str):
     Restituisce la funzione originale non modificata.
     """
 
-    def decorator(func):
+    def decorator(func: Callable[..., Any]) -> Callable[..., Any]:
         # Registra l'azione
         tool_name = func.__name__
         if tool_name in ACTION_DESCRIPTIONS:

src/app/agents/core.py

@@ -111,7 +111,6 @@ class PipelineInputs:
             name="CryptoAnalysisTeam",
             tools=[ReasoningTools(), PlanMemoryTool(), CryptoSymbolsTools()],
             members=[market_agent, news_agent, social_agent],
-            stream_intermediate_steps=True
         )
 
     def get_agent_query_checker(self) -> Agent:
@@ -152,11 +151,11 @@ class RunMessage:
             prefix (str, optional): Prefisso del messaggio. Defaults to ""
             suffix (str, optional): Suffisso del messaggio. Defaults to ""
         """
-        self.current = None
-        self.steps_total = None
         self.base_message = f"Running configurations: \n{prefix}{inputs}{suffix}\n\n"
         self.emojis = ['🔳', '➡️', '✅']
         self.placeholder = '<<<>>>'
+        self.current = 0
+        self.steps_total: list[tuple[str, int]] = []
         self.set_steps(["Query Check", "Info Recovery", "Report Generation"])
 
     def set_steps(self, steps: list[str]) -> 'RunMessage':

src/app/agents/pipeline.py

@@ -106,7 +106,8 @@ class Pipeline:
         # Step 2: Crea gli steps
         def condition_query_ok(step_input: StepInput) -> StepOutput:
             val = step_input.previous_step_content
-            return StepOutput(stop=not val.is_crypto) if isinstance(val, QueryOutputs) else StepOutput(stop=True)
+            stop = (not val.is_crypto) if isinstance(val, QueryOutputs) else True
+            return StepOutput(stop=stop)
 
         query_check = Step(name=PipelineEvent.QUERY_CHECK, agent=query_check)
         info_recovery = Step(name=PipelineEvent.INFO_RECOVERY, team=team)