G.O.D Framework: AI Personality Module

A comprehensive guide to ai_personality_module.py

Introduction

ai_personality_module.py forms the backbone of the G.O.D Framework's ability to provide personalized and human-like interactions. This module allows the AI system to adapt its behavior, tone, and responses dynamically, based on the specific persona or interaction goal.

Purpose

Personality is central to creating meaningful AI interactions. The ai_personality_module.py is designed to:

Key Features

Logic and Implementation

The core implementation relies on a PersonalityManager class that initializes and applies personality traits to communication pipelines. Traits are loaded from configuration files, supplemented by context and user preferences, to generate meaningful responses. 


            import json

            class PersonalityManager:
                """
                A manager for handling AI personalities.
                """
                def __init__(self, profiles_path):
                    """
                    Initialize with preconfigured personality profiles.
                    Args:
                        profiles_path (str): Path to the personality profiles JSON file.
                    """
                    self.profile_data = self.load_profiles(profiles_path)
                    self.current_personality = None

                def load_profiles(self, path):
                    """Load personality profiles from a JSON file."""
                    with open(path, 'r') as file:
                        return json.load(file)

                def set_personality(self, profile_name):
                    """
                    Set the active personality profile.
                    Args:
                        profile_name (str): The profile to apply.
                    """
                    if profile_name in self.profile_data:
                        self.current_personality = self.profile_data[profile_name]
                        print(f"Active personality: {profile_name}")
                    else:
                        raise ValueError("Profile not found.")

                def get_response_tone(self):
                    """
                    Get the baseline tone/style based on active personality.
                    """
                    if not self.current_personality:
                        raise RuntimeError("No active personality profile set.")
                    return self.current_personality.get('tone', 'neutral')

                def adapt_response(self, user_input, base_response):
                    """
                    Modify the base response to align with the active personality.
                    Args:
                        user_input (str): Input from the user.
                        base_response (str): Initial AI-generated response.
                    Returns:
                        str: Adapted response.
                    """
                    if not self.current_personality:
                        return base_response  # Fallback
                    # Adjust response tone or inject style
                    tone = self.get_response_tone()
                    if tone == "empathetic":
                        return f"I understand what you're feeling. {base_response}"
                    elif tone == "energetic":
                        return f"That's amazing! {base_response}"
                    elif tone == "formal":
                        return f"As per my understanding, {base_response}"
                    return base_response

            # Example Usage
            if __name__ == "__main__":
                manager = PersonalityManager("personality_profiles.json")
                manager.set_personality("friendly")
                response = manager.adapt_response("How are you?", "I'm good, thank you!")
                print(response)

System Integration

Key integration points for ai_personality_module.py include:

Usage

Programmers can make use of this module to dynamically tailor personality-driven AI interactions. Example configuration for profiles might look like: 


            {
                "friendly": {
                    "tone": "cheerful",
                    "humor": "light",
                    "empathy": "high"
                },
                "professional": {
                    "tone": "formal",
                    "humor": "none",
                    "empathy": "medium"
                },
                "neutral": {
                    "tone": "neutral",
                    "humor": "moderate",
                    "empathy": "low"
                }
            }

To implement, follow this example:


            manager = PersonalityManager("personality_profiles.json")
            manager.set_personality("professional")
            user_input = "Can you explain quantum physics?"
            raw_response = "Quantum physics involves particles and wave-like behavior."
            adapted_response = manager.adapt_response(user_input, raw_response)
            print(adapted_response)

Future Enhancements