"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-06 00:40:38.333329
"""

```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."""
        if fact not in self.knowledge:
            self.knowledge[fact] = []

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

class ReasoningEngine:
    def __init__(self):
        self.kb = KnowledgeBase()
    
    def add_rule(self, rule: str, antecedents: List[str], consequent: str) -> None:
        """
        Add a new rule to the reasoning engine.
        
        :param rule: A string representing the rule name
        :param antecedents: A list of facts that are conditions for the rule's conclusion
        :param consequent: The fact that is concluded if all antecedents are true
        """
        self.kb.add_fact(rule)
        if not any(ant in self.kb.get_facts().keys() for ant in antecedents):
            raise ValueError("One or more antecedents do not exist in the knowledge base.")
        else:
            self.kb.add_fact(consequent)

    def infer(self, facts: List[str]) -> bool:
        """
        Infer conclusions based on provided facts.
        
        :param facts: A list of known facts
        :return: True if all necessary antecedents are true and a conclusion can be drawn, False otherwise
        """
        for fact in facts:
            if fact not in self.kb.get_facts().keys():
                return False
        # For simplicity, let's assume that only one rule with given structure is added.
        # In real scenario, we would need to handle multiple rules and complex logic here.
        rule_name = list(self.kb.get_facts().keys())[0]
        for antecedent in self.kb.get_facts()[rule_name]:
            if antecedent not in facts:
                return False
        return True

# Example usage
reasoning_engine = ReasoningEngine()
reasoning_engine.add_rule("Rule1", ["FactA", "FactB"], "ConclusionC")
print(reasoning_engine.infer(["FactA", "FactB"]))  # Expected output: True
```