def planning_function(processed_state):
    """
    Determines optimal tasks for each agent based on the current state.
    
    Args:
        processed_state: A tuple containing food location and level, agent position and level.

    Returns:
        dict: Optimal tasks for each agent ('No op','Target food 0','Target food 1','Pickup')
    """
    return llm_tasks