"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-07 04:32:31.967531
"""

```python
from typing import List, Dict

class ReasoningEngine:
    """
    A basic reasoning engine that can handle limited inference based on a set of predefined rules.
    
    Attributes:
        knowledge_base (Dict[str, List[Dict[str, str]]]): Stores the knowledge in a structured form.
        current_context (List[str]): Represents the current context or state of reasoning.
        
    Methods:
        __init__: Initializes the engine with an empty knowledge base and no context.
        add_rule: Adds a rule to the knowledge base.
        infer_next_step: Performs inference based on the rules and current context.
    """
    
    def __init__(self):
        self.knowledge_base = {}
        self.current_context = []
        
    def add_rule(self, rule_name: str, conditions: List[str], consequence: str) -> None:
        """
        Adds a new rule to the knowledge base.

        Args:
            rule_name (str): A unique name for the rule.
            conditions (List[str]): The conditions that must be met for the rule to apply.
            consequence (str): The action or inference resulting from the rule's application.
        """
        self.knowledge_base[rule_name] = {"conditions": conditions, "consequence": consequence}
        
    def infer_next_step(self) -> str:
        """
        Determines the next step based on current context and available rules.

        Returns:
            str: The inferred action or state.
        """
        for rule_name, rule in self.knowledge_base.items():
            if all(condition in self.current_context for condition in rule["conditions"]):
                return rule["consequence"]
        
        # If no applicable rule is found
        raise Exception("No valid inference could be made based on the current context and rules.")
    
# Example usage:
engine = ReasoningEngine()
engine.add_rule(rule_name="rule1", conditions=["conditionA", "conditionB"], consequence="take_actionX")
engine.current_context.extend(["conditionA", "conditionC"])

try:
    next_step = engine.infer_next_step()
    print(f"The next step is: {next_step}")
except Exception as e:
    print(e)
```