"""Create recovery_planner
Generated by Phi-Octopus Eden
2025-11-07 00:14:53.695987
"""

```python
from typing import List, Dict, Any

class RecoveryPlanner:
    """
    A class for creating a limited error recovery planner.
    
    This planner attempts to recover from errors by reverting to previous states or applying fallback strategies.
    """

    def __init__(self):
        self.states: List[Dict[str, Any]] = []
        
    def save_state(self) -> None:
        """
        Saves the current state of the system for potential future recovery.

        :return: None
        """
        pass  # Placeholder to represent a state saving mechanism
        
    def revert_to_previous_state(self, error_info: Dict[str, str]) -> bool:
        """
        Attempts to recover from an error by reverting to a previous saved state.
        
        :param error_info: A dictionary containing information about the error, including its type and context.
        :return: True if recovery was successful, False otherwise.
        """
        # Simulate searching for relevant state
        matching_state = next((state for state in self.states 
                               if all(state.get(key) == value for key, value in error_info.items())), None)
        
        if not matching_state:
            return False
        
        # Apply recovery strategy
        print(f"Reverting to state: {matching_state}")
        return True
    
    def add_fallback_strategy(self, strategy_name: str, fallback_function: callable):
        """
        Adds a fallback strategy for the planner to use in case of errors without previous states.
        
        :param strategy_name: A name identifying this fallback strategy.
        :param fallback_function: The function implementing the fallback logic.
        :return: None
        """
        pass  # Placeholder to represent adding a fallback strategy

def example_usage() -> None:
    planner = RecoveryPlanner()
    
    # Simulate system states and errors
    error_info_1 = {"error_type": "timeout", "context": "login"}
    error_info_2 = {"error_type": "invalid_credentials", "context": "login"}
    
    for _ in range(3):  # Simulating saving multiple states
        planner.save_state()
        
    print("System encountered an error:", error_info_1)
    if not planner.revert_to_previous_state(error_info_1):
        print("Falling back to default strategy")
        planner.add_fallback_strategy("default", lambda: print("Executing default fallback"))
        planner.fallback("default")  # This should call the fallback function

example_usage()
```