"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-06 17:11:16.483002
"""

```python
from typing import List, Dict

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

    def add_fact(self, fact: str, value: bool) -> None:
        """
        Adds a new fact to the knowledge base.
        
        :param fact: A string representing the fact
        :param value: Boolean value indicating the truth of the fact
        """
        self.knowledge[fact] = value

    def query(self, facts: List[str]) -> bool:
        """
        Queries the knowledge base for a list of facts and returns True if all are present.
        
        :param facts: A list of strings representing the facts to be queried
        :return: Boolean indicating whether all facts are in the knowledge base
        """
        return all(fact in self.knowledge for fact in facts)


class ReasoningEngine:
    def __init__(self):
        self.kb = KnowledgeBase()

    def add_fact(self, fact: str, value: bool) -> None:
        self.kb.add_fact(fact, value)

    def check_conditions(self, conditions: Dict[str, bool]) -> bool:
        """
        Checks if the given conditions are met in the knowledge base.
        
        :param conditions: A dictionary where keys are facts and values are their expected truth values
        :return: Boolean indicating whether all conditions are satisfied
        """
        return all(conditions[fact] == self.kb.query([fact]) for fact in conditions)

    def infer(self, new_facts: List[str], conclusions: List[str]) -> bool:
        """
        Infers if the given conclusions can be drawn from the knowledge base and additional facts.
        
        :param new_facts: A list of new facts to be added
        :param conclusions: A list of potential conclusions to infer
        :return: Boolean indicating whether all conclusions can be inferred
        """
        for fact in new_facts:
            self.add_fact(fact, True)
        return all(self.kb.query([conclusion]) for conclusion in conclusions)

# Example usage

engine = ReasoningEngine()
engine.add_fact("A", True)  # Add facts to the knowledge base
engine.add_fact("B", False)
engine.add_fact("C", True)

conditions = {"A": True, "B": False}
print(engine.check_conditions(conditions))  # Should return True

new_facts = ["D", "E"]
conclusions = ["D", "F"]
engine.infer(new_facts, conclusions)  # Adds D and E as facts
print(engine.kb.query(["F"]))  # Should return False since F is not a known fact
```