"""Create fallback_executor
Generated by Phi-Octopus Eden
2025-11-05 23:49:35.308079
"""

```python
from typing import Callable, Any


class FallbackExecutor:
    """
    A class that provides a mechanism for executing tasks with fallbacks in case of errors.
    
    Attributes:
        primary_task (Callable): The main task to be executed.
        backup_tasks (List[Callable]): List of fallback tasks to be tried if the primary task fails.
    """

    def __init__(self, primary_task: Callable, backup_tasks: list = None):
        """
        Initialize FallbackExecutor with a primary task and optional backup tasks.

        Args:
            primary_task (Callable): The main function to execute.
            backup_tasks (List[Callable], optional): List of fallback functions. Defaults to an empty list if not provided.
        """
        self.primary_task = primary_task
        self.backup_tasks = [] if backup_tasks is None else backup_tasks

    def run(self, *args: Any, **kwargs: Any) -> Any:
        """
        Execute the primary task and handle errors by attempting fallback tasks.

        Args:
            *args: Positional arguments to pass to the tasks.
            **kwargs: Keyword arguments to pass to the tasks.

        Returns:
            The result of the first successful task execution or None if all fail.

        Raises:
            Exception: If no fallback is available and primary_task raises an exception.
        """
        try:
            return self.primary_task(*args, **kwargs)
        except Exception as e:
            for backup in self.backup_tasks:
                try:
                    return backup(*args, **kwargs)
                except Exception:
                    continue
            raise e


# Example usage:

def multiply(a: int, b: int) -> int:
    """Multiply two numbers."""
    print(f'Multiplying {a} and {b}')
    return a * b

def add(a: int, b: int) -> int:
    """Add two numbers."""
    print(f'Adding {a} and {b}')
    return a + b


fallback_executor = FallbackExecutor(
    primary_task=multiply,
    backup_tasks=[add]
)

# Successful execution
result1 = fallback_executor.run(4, 5)
print(result1)  # Output: Multiplying 4 and 5\n20

# Error in primary task, fall back to add
try:
    result2 = fallback_executor.run(4, 'five')
except Exception as e:
    print(f'Error caught: {e}')
else:
    print(result2)
```

This code snippet introduces a `FallbackExecutor` class that can handle situations where the main function might fail due to errors. It attempts to run the primary task and if it fails, tries each backup task in sequence until one succeeds or all are exhausted. The example usage demonstrates how you can set up fallbacks for simple arithmetic operations.