"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-06 23:12:29.448752
"""

```python
from typing import List, Dict


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


def create_reasoning_engine(kb: KnowledgeBase) -> Dict[str, str]:
    """
    Create a reasoning engine that infers relationships between facts.

    :param kb: KnowledgeBase instance containing known facts.
    :return: A dictionary of inferred relationships based on existing facts.
    """
    if not kb.get_facts():
        return {}

    relationships = {}
    for i in range(len(kb.knowledge) - 1):
        fact_a, fact_b = kb.knowledge[i], kb.knowledge[i + 1]
        if 'is_a' in fact_a and 'type_of' in fact_b:
            # Example pattern: "apple is_a fruit" and "fruit type_of food"
            inferred_relationship = f"{fact_a.split(' ')[0]} {fact_b.split(' ')[3]}"
            relationships[inferred_relationship] = f"{fact_a} and {fact_b}"

    return relationships


# Example usage
if __name__ == "__main__":
    kb = KnowledgeBase()
    kb.add_fact("apple is_a fruit")
    kb.add_fact("fruit type_of food")
    kb.add_fact("banana is_a fruit")
    kb.add_fact("carrot type_of vegetable")

    engine = create_reasoning_engine(kb)
    print(engine)
```

This example demonstrates a simple reasoning engine that infers relationships between facts based on patterns in the knowledge base. The `create_reasoning_engine` function takes a `KnowledgeBase` instance and returns a dictionary of inferred relationships, where each key is an inferred relationship string, and each value contains a pair of original facts used to infer it.