"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-08 01:10:31.184382
"""

```python
class ReasoningEngine:
    """
    A basic reasoning engine that uses a decision tree approach for limited reasoning capabilities.
    
    This class implements a simple reasoning system capable of making decisions based on input conditions.
    It can be extended to handle more complex scenarios by adding rules or integrating machine learning models.
    """

    def __init__(self, rules: list):
        """
        Initialize the ReasoningEngine with a set of decision-making rules.

        :param rules: A list of functions that return True for a given input and define the rule.
                      Each function should accept an input argument of type `dict` representing the conditions.
        """
        self.rules = rules

    def apply_rules(self, condition_dict: dict) -> str:
        """
        Apply the reasoning engine's rules to determine the outcome based on provided conditions.

        :param condition_dict: A dictionary containing the conditions for evaluation.
        :return: The name of the action that should be taken based on matching rules.
        """
        for rule in self.rules:
            if rule(condition_dict):
                return next(iter(rule.__annotations__['->']), 'unknown')
        return 'default_action'

def create_rule(condition_key: str, condition_value) -> callable:
    """
    Create a rule function that checks if the input dictionary has a specific key-value pair.
    
    :param condition_key: The key to check in the conditions dictionary.
    :param condition_value: The value that should match for the rule to be True.
    :return: A function that returns True if the condition is met, otherwise False.
    """
    def rule(conditions: dict) -> bool:
        return conditions.get(condition_key) == condition_value
    rule.__annotations__['->'] = 'str'
    return rule

# Example usage
if __name__ == "__main__":
    # Define rules based on certain conditions
    rule1 = create_rule('temperature', 25)
    rule2 = create_rule('humidity', 60)

    # Initialize the reasoning engine with the defined rules
    reasoner = ReasoningEngine([rule1, rule2])

    # Test conditions
    test_conditions = {'temperature': 25, 'humidity': 60}

    # Apply rules and get action
    action = reasoner.apply_rules(test_conditions)
    print(f"Action based on conditions: {action}")
```

This code defines a `ReasoningEngine` class that can be used to create a basic decision-making system with predefined rules. The example usage section demonstrates how to use the class by creating simple rules and applying them to test conditions.