"""Create recovery_planner
Generated by Phi-Octopus Eden
2025-11-07 15:50:18.735667
"""

```python
from typing import List, Dict

class RecoveryPlanner:
    """
    A class for creating a limited error recovery planner.
    
    This planner is designed to handle situations where certain operations may fail,
    and it aims to recover from these failures by retrying the operation with a different approach.
    """

    def __init__(self, max_retries: int = 3, fallback_functions: List[callable] = []):
        """
        Initialize the RecoveryPlanner.

        :param max_retries: Maximum number of retries before failing, defaults to 3
        :type max_retries: int
        :param fallback_functions: A list of functions to try if the primary function fails, defaults to []
        :type fallback_functions: List[callable]
        """
        self.max_retries = max_retries
        self.fallback_functions = fallback_functions

    def plan_recovery(self, operation: callable) -> callable:
        """
        Plan recovery for an operation.

        This method wraps the given operation and tries it multiple times with fallback functions if it fails.
        
        :param operation: The primary function to execute
        :type operation: callable
        :return: A wrapper function that handles retries and fallbacks
        :rtype: callable
        """
        def recovery_plan(*args, **kwargs) -> Dict[str, any]:
            for attempt in range(self.max_retries + 1):
                try:
                    result = operation(*args, **kwargs)
                    return {'success': True, 'result': result}
                except Exception as e:
                    if attempt < self.max_retries:
                        # Try a fallback function
                        if self.fallback_functions and len(self.fallback_functions) > attempt:
                            fallback_func = self.fallback_functions[attempt]
                            result = fallback_func(*args, **kwargs)
                            return {'success': True, 'result': result}
                    else:
                        # All retries failed, propagate the exception
                        raise e
            return {'success': False, 'error': "Operation failed after all retries"}

        return recovery_plan

# Example usage
def primary_operation(a: int, b: int) -> int:
    """A simple operation that may fail."""
    if a + b > 10:
        raise ValueError("Sum exceeds limit")
    return a + b

recovery_planner = RecoveryPlanner(max_retries=2, fallback_functions=[
    lambda a, b: (a - b),  # Fallback function 1
    lambda a, b: (b - a)   # Fallback function 2
])

planned_operation = recovery_planner.plan_recovery(primary_operation)

# Test the planned operation
result = planned_operation(8, 4)
print(result)

try:
    result = planned_operation(6, 5)  # This will fail and use fallbacks
except Exception as e:
    print(e)
```