"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-07 10:06:33.089013
"""

```python
from typing import List, Dict

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

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

    def retrieve_facts(self, query_keys: List[str]) -> Dict[str, any]:
        """Retrieve facts based on given keys from the knowledge base."""
        return {k: self.knowledge.get(k) for k in query_keys}

def reasoning_engine(query: str, kb: KnowledgeBase) -> str:
    """
    A simple reasoning engine that uses a predefined set of rules to reason over facts.

    :param query: The question or statement to be reasoned upon.
    :param kb: An instance of KnowledgeBase containing the context for reasoning.
    :return: A string representing the result of the reasoning process.
    """
    # Predefined rules and conditions
    rules = {
        "temperature_high": lambda t: 90 < t < 100,
        "weather_sunny": lambda w: w == "sunny",
        "humidity_low": lambda h: h < 30,
        "air_quality_good": lambda q: q > 50
    }

    facts = kb.retrieve_facts(["temperature", "weather", "humidity", "air_quality"])
    
    # Reasoning logic based on rules
    if all([rules.get(rule)(facts[rule]) for rule in rules]):
        return "Conditions are favorable."
    else:
        return "Conditions not met."

# Example usage
if __name__ == "__main__":
    kb = KnowledgeBase()
    kb.add_fact("temperature", 95)
    kb.add_fact("weather", "sunny")
    kb.add_fact("humidity", 20)
    kb.add_fact("air_quality", 60)

    result = reasoning_engine("Are the conditions favorable?", kb)
    print(result)  # Should output: Conditions are favorable.
```

This code defines a simple reasoning engine that operates based on predefined rules and checks against facts stored in a knowledge base. The `reasoning_engine` function is designed to solve problems related to limited reasoning sophistication by evaluating multiple conditions together before providing an outcome.