def evaluate(self, data: Any) -> bool:
        """
        Evaluates the decision using an LLM with the provided data.
        
        This is a placeholder that will be replaced during graph execution with
        actual LLM inference using the graph's default agent.
        
        Args:
            data: Data to evaluate (typically the output of the previous task)
            
        Returns:
            True if the LLM determines yes/true, False otherwise
        """
        # This is a placeholder - the actual implementation happens 
        # during graph execution using the graph's agent
        return True

        Evaluates the decision using an LLM with the provided data.
        
        This is a placeholder that will be replaced during graph execution with
        actual LLM inference using the graph's default agent.
        
        Args:
            data: Data to evaluate (typically the output of the previous task)
            
        Returns:
            True if the LLM determines yes/true, False otherwise
        
src/upsonic/client/graph.py