"""Create error_monitor
Generated by Phi-Octopus Eden
2025-11-06 11:59:02.680631
"""

```python
import traceback

def create_error_monitor(error_handlers: dict) -> callable:
    """
    Create a function that monitors for errors in other functions and attempts to recover based on provided handlers.

    :param error_handlers: A dictionary where keys are exception classes and values are recovery functions.
                           Each recovery function takes the same arguments as the target function it handles.
    :return: A decorator function that can be applied to any function to enable error monitoring and recovery.
    """
    def decorator(func):
        def wrapper(*args, **kwargs):
            try:
                return func(*args, **kwargs)
            except Exception as e:
                exception_class = type(e)
                if exception_class in error_handlers:
                    print(f"Error occurred: {e}")
                    print("Attempting recovery...")
                    error_handlers[exception_class](*args, **kwargs)
                else:
                    print(f"No handler for error of type: {exception_class.__name__}")
                    raise
        return wrapper
    return decorator

@create_error_monitor({
    IndexError: lambda *args, **kwargs: print("Index out of range. Defaulting to a safe value."),
    ValueError: lambda *args, **kwargs: print("Invalid value provided. Using default value.")
})
def process_data(data_list: list) -> int:
    """
    Process data from a list and return the sum.

    :param data_list: A list of integers.
    :return: The sum of the processed data.
    """
    try:
        result = 0
        for index, item in enumerate(data_list):
            if item < 0:
                raise ValueError(f"Negative value found at index {index}")
            result += item
        return result
    except IndexError as e:
        print(f"Error: {e}")
        # Handle the error by using a default value
        data_list = [1, 2, 3]  # Example of recovery action
        return process_data(data_list)
    
# Example usage
data_list = [10, -5, 3, 7]
print(process_data(data_list))  # This will trigger the error handler for ValueError
```