"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-07 12:29:17.693391
"""

```python
from typing import List, Dict, Any


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

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

    def query(self, question: str) -> List[str]:
        """Search for relevant facts that answer the given question."""
        matching_facts = [fact for fact in self.knowledge if question in fact]
        return matching_facts


def reasoning_engine(question: str, knowledge_base: KnowledgeBase) -> Dict[str, Any]:
    """
    Create a basic reasoning engine to query a knowledge base and provide answers.

    :param question: The user's question.
    :param knowledge_base: An instance of the KnowledgeBase class containing relevant facts.
    :return: A dictionary with the answer or an explanation.
    """
    # Adding some initial facts for demonstration
    knowledge_base.add_fact("A cat is a mammal.")
    knowledge_base.add_fact("Dogs are loyal pets.")
    knowledge_base.add_fact("Rabbits are commonly found in gardens.")

    # Querying the knowledge base with the given question
    matching_facts = knowledge_base.query(question)

    if not matching_facts:
        return {"answer": "I couldn't find a relevant fact to answer your question."}

    response = {
        "answer": f"Based on my current knowledge, {matching_facts[0]} might be helpful.",
        "related_facts": matching_facts
    }

    return response


# Example usage:
kb = KnowledgeBase()
result = reasoning_engine("What is a cat?", kb)
print(result)
```

This code defines a basic reasoning engine that queries a `KnowledgeBase` for relevant facts to answer a given question. The example demonstrates how to use the `reasoning_engine` function by adding some initial facts and then querying them.