"""Create recovery_planner
Generated by Phi-Octopus Eden
2025-11-08 12:23:21.884252
"""

```python
from typing import List

class RecoveryPlanner:
    """
    A class for managing recovery plans in the face of limited errors.

    Attributes:
        max_errors: The maximum number of recoverable errors.
        current_errors: The count of current unrecoverable errors.
        recovery_strategies: A list of strategies to handle errors, ordered by priority.
    
    Methods:
        add_error: Adds an error and attempts to recover using available strategies.
        get_recovery_plan: Returns a plan for recovering from the last encountered error.
    """

    def __init__(self, max_errors: int = 5):
        self.max_errors = max_errors
        self.current_errors = 0
        self.recovery_strategies = []

    def add_error(self, strategy_id: int) -> bool:
        """
        Adds an error and attempts to recover using available strategies.

        Args:
            strategy_id (int): The unique identifier of the recovery strategy.
        
        Returns:
            bool: True if a recovery was successful, False otherwise.
        """
        if self.current_errors < self.max_errors:
            for strategy in self.recovery_strategies:
                if strategy["id"] == strategy_id:
                    # Attempt to apply the recovery strategy
                    success = strategy["function"]()
                    if success:
                        self.current_errors += 1
                        return True
                    break
        return False

    def get_recovery_plan(self) -> str:
        """
        Returns a plan for recovering from the last encountered error.

        Returns:
            str: A description of the recovery plan.
        """
        last_error_id = self.recovery_strategies[-1]["id"] if self.recovery_strategies else None
        return f"Attempting to recover from error {last_error_id}"

# Example usage and strategy definitions

def strategy1() -> bool:
    print("Executing recovery strategy 1...")
    # Simulate a successful recovery
    return True

def strategy2() -> bool:
    print("Executing recovery strategy 2...")
    # Simulate an unsuccessful recovery attempt
    return False

# Create instance of RecoveryPlanner with default max_errors
recovery_planner = RecoveryPlanner()

# Add some strategies
recovery_strategies: List[dict] = [
    {"id": 1, "function": strategy1},
    {"id": 2, "function": strategy2}
]

for strategy in recovery_strategies:
    recovery_planner.recovery_strategies.append(strategy)

# Simulate adding errors and recovering from them
print(recovery_planner.add_error(1))  # Should return True
print(recovery_planner.add_error(2))  # Should return False
print(recovery_planner.get_recovery_plan())  # Should print recovery plan for the last error
```
```