"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-07 19:46:51.885455
"""

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


class KnowledgeBase:
    def __init__(self):
        self.knowledge = {}

    def add_fact(self, key: str, value: any) -> None:
        """
        Adds a fact to the knowledge base.

        :param key: The identifier of the fact.
        :param value: The value of the fact.
        """
        self.knowledge[key] = value

    def get_fact(self, key: str) -> Optional[any]:
        """
        Retrieves a fact from the knowledge base based on its key.

        :param key: The identifier of the fact to retrieve.
        :return: The value of the fact if found, otherwise None.
        """
        return self.knowledge.get(key)


class ReasoningEngine:
    def __init__(self):
        self.knowledge_base = KnowledgeBase()
    
    def add_fact(self, key: str, value: any) -> None:
        """Add a fact to the knowledge base."""
        self.knowledge_base.add_fact(key, value)
    
    def get_fact(self, key: str) -> Optional[any]:
        """Retrieve a fact from the knowledge base based on its key."""
        return self.knowledge_base.get_fact(key)

    def infer(self, facts: Dict[str, any]) -> bool:
        """
        Infer new knowledge by checking if all conditions in a set of facts are met.
        
        :param facts: A dictionary of facts to check against the knowledge base.
        :return: True if all conditions are met, otherwise False.
        """
        for key, value in facts.items():
            stored_value = self.get_fact(key)
            if stored_value is None or not (stored_value == value):
                return False
        return True

    def solve_problem(self, problem: Dict[str, any]) -> bool:
        """
        Solve a problem by inferring new knowledge based on the provided facts.
        
        :param problem: A dictionary of facts representing a problem to be solved.
        :return: True if the problem can be solved, otherwise False.
        """
        return self.infer(problem)


# Example Usage
if __name__ == "__main__":
    reasoning_engine = ReasoningEngine()
    
    # Adding known facts to the knowledge base
    reasoning_engine.add_fact("temperature", 25)
    reasoning_engine.add_fact("humidity", 60)

    # Defining a problem to solve
    problem_facts = {
        "temperature": 25,
        "humidity": 70,  # This fact will not be present in the knowledge base
    }

    # Solving the problem
    if reasoning_engine.solve_problem(problem_facts):
        print("The problem can be solved based on the given facts.")
    else:
        print("The problem cannot be solved with the current knowledge.")

```

This Python code defines a `ReasoningEngine` class that includes methods to add and retrieve facts in a knowledge base, as well as methods to infer new knowledge and solve problems. The example usage demonstrates how to use these methods to check if all given conditions are met (in this case, whether the humidity is 70 when it's known to be