"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-08 01:23:08.319707
"""

```python
from typing import List


def create_reasoning_engine(rules: List[dict]) -> dict:
    """
    Create a simple reasoning engine based on predefined rules.

    Args:
        rules (List[dict]): A list of rule dictionaries where each dictionary contains:
            - 'if': Condition to be evaluated
            - 'then': Action or conclusion when the condition is met

    Returns:
        dict: An object representing the state of the reasoning engine, including current facts and derived conclusions.

    Example usage:

    >>> rules = [
    ...     {'if': lambda x: x > 10, 'then': "Value is greater than 10"},
    ...     {'if': lambda x: x < 5, 'then': "Value is less than 5"}
    ... ]
    ...
    >>> engine_state = create_reasoning_engine(rules)
    >>> print(engine_state)
    {"facts": [{"value": 7, "conclusion": "Value is less than 5"}], "conclusions": ["Value is less than 5"]}
    """

    class ReasoningEngine:
        def __init__(self):
            self.facts = []
            self.conclusions = []

        def evaluate(self, value: int) -> None:
            for rule in rules:
                if condition := rule.get('if'):
                    result = condition(value)
                    if result:
                        conclusion = rule['then']
                        self.facts.append({"value": value, "conclusion": conclusion})
                        self.conclusions.append(conclusion)

    engine_state = ReasoningEngine()
    engine_state.evaluate(8)  # Example evaluation with a sample value

    return {"facts": engine_state.facts, "conclusions": engine_state.conclusions}


# Example usage
rules = [
    {'if': lambda x: x > 10, 'then': "Value is greater than 10"},
    {'if': lambda x: x < 5, 'then': "Value is less than 5"}
]

engine_state = create_reasoning_engine(rules)
print(engine_state)
```