"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-06 09:15:41.207550
"""

```python
class ReasoningEngine:
    """
    A basic reasoning engine capable of solving problems with limited reasoning sophistication.
    
    This engine uses a simple rule-based approach to infer conclusions based on given premises.

    Parameters:
        - rules (list[dict]): A list of dictionaries, where each dictionary represents a rule. Each rule has 'premise' and 'conclusion'.
        
    Methods:
        - infer: Given a set of facts, return all possible inferences.
    """

    def __init__(self, rules: list[dict]):
        if not isinstance(rules, list):
            raise ValueError("Rules must be provided as a list of dictionaries.")
        for rule in rules:
            if 'premise' not in rule or 'conclusion' not in rule:
                raise ValueError("Each rule must contain both 'premise' and 'conclusion'.")
        self.rules = rules

    def infer(self, facts: set[str]) -> set[str]:
        """
        Given a set of known facts, apply the rules to infer new conclusions.

        Parameters:
            - facts (set[str]): A set of strings representing the known facts.
        
        Returns:
            - set[str]: A set of strings representing the inferred facts.
        """
        if not isinstance(facts, set):
            raise ValueError("Facts must be provided as a set.")
        inferences = set()
        for rule in self.rules:
            if all(p in facts for p in rule['premise']):
                inferences.add(rule['conclusion'])
        return inferences

# Example usage
rules = [
    {'premise': ['A', 'B'], 'conclusion': 'C'},
    {'premise': ['C'], 'conclusion': 'D'}
]

engine = ReasoningEngine(rules)
known_facts = {'A', 'B'}

inferred_facts = engine.infer(known_facts)
print(inferred_facts)  # Should output: {'C', 'D'}
```

This example demonstrates a basic reasoning engine that can take a set of rules and facts, then infer new conclusions based on those rules. The `infer` method checks each rule's premise against the known facts and adds the conclusion to the inferences if all premises are satisfied.