from datetime import datetime

class ReasoningAgent:
    def __init__(self):
        self.logs = []

    def think(self, context: str, goal: str) -> str:
        thought = f"[{datetime.now()}] Reasoning: Based on context '{context}', the goal is '{goal}'."
        plan = f"To achieve this, the AI should break down the task and search memory/tools for support."
        self.logs.append(thought + "\n" + plan)
        return plan

    def reflect(self, result: str) -> str:
        reflection = f"[{datetime.now()}] Reflection: After execution, result was: '{result}'"
        feedback = "Was the outcome successful? What can be improved next time?"
        self.logs.append(reflection + "\n" + feedback)
        return feedback

    def get_log(self):
        return self.logs[-5:]