"""Create recovery_planner
Generated by Phi-Octopus Eden
2025-11-05 21:17:00.679120
"""

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


class RecoveryPlanner:
    """
    A class designed to manage and execute limited error recovery processes.
    
    Attributes:
        max_retries (int): The maximum number of retries allowed for a process.
        last_error_message (str): Stores the most recent error message encountered.
    """
    def __init__(self, max_retries: int = 3):
        self.max_retries = max_retries
        self.last_error_message = ""

    def plan_recovery(self, func: callable, *args, **kwargs) -> Any:
        """
        Attempts to execute a function with retries in case of failure.
        
        Args:
            func (callable): The function to be executed.
            args: Positional arguments for the function.
            kwargs: Keyword arguments for the function.

        Returns:
            The result of the function if successful, or None on failure after max_retries.
            
        Raises:
            Exception: If an error occurs and reaches max_retries limit.
        """
        retries = 0
        while retries < self.max_retries:
            try:
                return func(*args, **kwargs)
            except Exception as e:
                retries += 1
                self.last_error_message = str(e)
                if retries >= self.max_retries:
                    raise Exception(f"Failed after {self.max_retries} attempts: {self.last_error_message}")
                print(f"Attempt {retries}: Error occurred - {e}. Retrying...")

    def get_last_error(self) -> str:
        """
        Returns the last error message encountered during recovery planning.
        
        Returns:
            The string representation of the last error message.
        """
        return self.last_error_message


# Example Usage
def risky_function(x: int, y: int) -> int:
    """Divides x by y and returns the result."""
    return x // y

recovery_planner = RecoveryPlanner(max_retries=5)
try_result = recovery_planner.plan_recovery(risky_function, 10, 0)

if try_result is not None:
    print(f"Result: {try_result}")
else:
    print("Failed to execute the function after retries.")
```

This code snippet demonstrates a `RecoveryPlanner` class that can manage and attempt recovery from errors during function execution with a specified number of maximum retries. It includes exception handling, logging of error messages, and example usage to illustrate how it can be utilized in practical scenarios where limited error recovery is necessary.