Refactor pipeline integration

- remove direct pipeline dependency from ChatManager and TelegramApp
- introduce PipelineInputs for better configuration management

src/app/configs.py

@@ -104,8 +104,6 @@ class AppConfig(BaseModel):
             data = yaml.safe_load(f)
 
         configs = cls(**data)
-        configs.set_logging_level()
-        configs.validate_models()
         log.info(f"Loaded configuration from {file_path}")
         return configs
 
@@ -115,6 +113,15 @@ class AppConfig(BaseModel):
                 cls.instance = super(AppConfig, cls).__new__(cls)
             return cls.instance
 
+    def __init__(self, *args: Any, **kwargs: Any) -> None:
+        if hasattr(self, '_initialized'):
+            return
+
+        super().__init__(*args, **kwargs)
+        self.set_logging_level()
+        self.validate_models()
+        self._initialized = True
+
     def get_model_by_name(self, name: str) -> AppModel:
         """
         Retrieve a model configuration by its name.
@@ -145,17 +152,6 @@ class AppConfig(BaseModel):
                 return strat
         raise ValueError(f"Strategy with name '{name}' not found.")
 
-    def get_defaults(self) -> tuple[AppModel, AppModel, Strategy]:
-        """
-        Retrieve the default team model, leader model, and strategy.
-        Returns:
-            A tuple containing the default team model (AppModel), leader model (AppModel), and strategy (Strategy).
-        """
-        team_model = self.get_model_by_name(self.agents.team_model)
-        leader_model = self.get_model_by_name(self.agents.team_leader_model)
-        strategy = self.get_strategy_by_name(self.agents.strategy)
-        return team_model, leader_model, strategy
-
     def set_logging_level(self) -> None:
         """
         Set the logging level based on the configuration.