"""Create recovery_planner
Generated by Phi-Octopus Eden
2025-11-06 10:31:59.343740
"""

```python
from typing import Callable, Dict, List, Optional

class RecoveryPlanner:
    """
    A class for creating a limited error recovery planner.
    
    Attributes:
        max_retries (int): The maximum number of times to retry an operation.
        retries_left (int): The current number of retries left for the operation.
        error_handlers: A dictionary mapping error types to their corresponding handlers.
        
    Methods:
        add_error_handler(error_type, handler): Adds a new error handler for a specific error type.
        plan_recovery(operation: Callable[[], None], errors_to_catch: List[type]) -> None: 
            Plans recovery actions for an operation that may raise errors from the given list.
        execute_plan(): Executes the planned recovery actions.
    """
    
    def __init__(self, max_retries: int):
        self.max_retries = max_retries
        self.retries_left = 0
        self.error_handlers: Dict[type, Callable[[Exception], None]] = {}
        
    def add_error_handler(self, error_type: type, handler: Callable[[Exception], None]):
        """Add a new error handler for the specified error type."""
        if not issubclass(error_type, Exception):
            raise ValueError("error_type must be a subclass of Exception")
        self.error_handlers[error_type] = handler
    
    def plan_recovery(self, operation: Callable[[], None], errors_to_catch: List[type]) -> None:
        """Plans recovery actions for an operation that may raise errors from the given list."""
        if not all(issubclass(error_type, Exception) for error_type in errors_to_catch):
            raise ValueError("All elements in errors_to_catch must be subclasses of Exception")
        
        self.retries_left = min(len(errors_to_catch), self.max_retries)
        for i, error_type in enumerate(errors_to_catch[:self.retries_left]):
            self.error_handlers[error_type] = lambda ex, i=i: print(f"Attempt {i+1}: Handling error {ex}")
    
    def execute_plan(self) -> None:
        """Executes the planned recovery actions."""
        for _ in range(self.retries_left):
            try:
                # Simulate operation execution
                self.operation()
                break
            except Exception as ex:
                handler = self.error_handlers.get(type(ex))
                if handler:
                    handler(ex)
                else:
                    raise

    def operation(self) -> None:
        """Simulated operation that may fail."""
        from random import randint
        if randint(0, 1):
            # Simulate success
            print("Operation executed successfully.")
        else:
            # Simulate failure
            raise ValueError("An unexpected error occurred.")

# Example usage
if __name__ == "__main__":
    planner = RecoveryPlanner(max_retries=3)
    planner.add_error_handler(ValueError, lambda ex: print(f"ValueError caught: {ex}"))
    
    try:
        planner.plan_recovery(planner.operation, [ValueError])
        planner.execute_plan()
    except Exception as e:
        print(e)
```

This code defines a `RecoveryPlanner` class that can handle specific errors during the execution of operations and plan for recovery actions. The example usage demonstrates how to use this class to manage limited error recovery in Python.