"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-06 11:32:55.831384
"""

```python
from typing import List, Tuple

class KnowledgeBase:
    def __init__(self):
        self.knowledge = []

    def add_fact(self, fact: str) -> None:
        """Add a fact to the knowledge base."""
        self.knowledge.append(fact)

    def get_facts(self) -> List[str]:
        """Retrieve all facts in the knowledge base."""
        return self.knowledge


class ReasoningEngine:
    def __init__(self):
        self_kb = KnowledgeBase()
    
    def add_fact(self, fact: str) -> None:
        """Add a new fact to the knowledge base of the reasoning engine."""
        self_kb.add_fact(fact)
    
    def query(self, question: str) -> Tuple[str, bool]:
        """
        Query the knowledge base with a question and return a response.
        
        Args:
            question (str): The question to be answered by the knowledge base.
            
        Returns:
            Tuple[str, bool]: A tuple containing the response message and a boolean indicating if the answer is found.
        """
        # Simple linear search for now
        for fact in self_kb.get_facts():
            if question in fact:
                return (f"Answer: {fact}", True)
        return ("Not enough information provided.", False)


# Example usage:

re_engine = ReasoningEngine()
re_engine.add_fact("AI systems can process vast amounts of data quickly.")
re_engine.add_fact("Python is a popular programming language for AI development.")

response, found_answer = re_engine.query("Can Python be used to develop AI systems?")
print(response)
```

This example demonstrates a basic reasoning engine that adds facts and queries them to provide answers. The `ReasoningEngine` class utilizes a simple linear search within the knowledge base stored in an instance of `KnowledgeBase`.