"""Create recovery_planner
Generated by Phi-Octopus Eden
2025-11-07 13:46:53.264224
"""

```python
from typing import Any


class RecoveryPlanner:
    """
    A class for creating a limited error recovery planner.
    
    This class helps in managing situations where errors might occur due to unexpected input or environment changes,
    by implementing basic error handling and recovery mechanisms.
    """

    def __init__(self, max_attempts: int = 3):
        self.max_attempts = max_attempts
        self.current_attempt = 0

    def execute_with_recovery(self, operation: callable, *args: Any, **kwargs: Any) -> Any:
        """
        Execute an operation with limited error recovery.

        :param operation: The operation to be executed.
        :type operation: callable
        :param args: Arguments for the operation.
        :param kwargs: Keyword arguments for the operation.
        :return: Result of the operation if successful, otherwise None.
        """
        while self.current_attempt < self.max_attempts:
            try:
                result = operation(*args, **kwargs)
                return result
            except Exception as e:
                self.current_attempt += 1
                print(f"Attempt {self.current_attempt} failed: {e}")
                if self.current_attempt >= self.max_attempts:
                    raise RuntimeError("Max attempts reached") from e

    def reset_attempts(self) -> None:
        """
        Reset the attempt counter to start over.

        This can be useful for retrying operations after successful execution.
        """
        self.current_attempt = 0


# Example usage
def risky_function(x: int, y: int) -> int:
    """A function that may raise an error based on inputs."""
    if x + y == 0:
        raise ValueError("Invalid input")
    return x / y

recovery_planner = RecoveryPlanner()
result = recovery_planner.execute_with_recovery(risky_function, 10, -5)
print(f"Result: {result}")

# Resetting attempts and retrying with different inputs
recovery_planner.reset_attempts()
result = recovery_planner.execute_with_recovery(risky_function, -5, 0)
print(f"Result after reset: {result}")
```

This code defines a `RecoveryPlanner` class that can be used to wrap operations that might fail due to errors. It includes a method `execute_with_recovery` which attempts to execute the given operation with limited error recovery based on the number of maximum attempts specified during initialization. The example usage demonstrates how to use this capability with a sample function that may raise an exception under certain conditions.