Integrate ChatGPT into Godot - SMABVERSE/GODOT-CHAT-GPT GitHub Wiki

The following article is copied from ChatGPT-4o's response to the following prompt:

Hello, how can I put you inside my Godot game for NPCs?

Integrating an AI like ChatGPT into your Godot game for NPCs involves several steps, from setting up the AI interaction to creating a seamless experience within the game. Here’s a detailed guide to help you achieve this:

Step 1: Set Up Your Godot Environment

  1. Install Godot: Ensure you have the latest version of Godot installed on your system.
  2. Create a New Project: Open Godot and create a new project for your game.

Step 2: Implement Networking in Godot

To communicate with the AI (which runs on a server), you need to implement networking in your Godot project.

  1. Enable HTTP Requests:

    • In your Godot project, go to the Project menu, select Project Settings, and enable Networking -> Allow HTTP.
  2. Create an HTTP Request Node:

    • Add an HTTPRequest node to your scene. This node will handle the communication with the AI server.

Step 3: Set Up a Server to Host ChatGPT

You need a server to host the ChatGPT API. If you don’t have access to OpenAI’s API, you can use a service like OpenAI to provide the GPT model responses.

  1. Set Up a Flask Server (Example):

    • You can set up a simple Flask server to act as an intermediary between your Godot game and the GPT-4 API.
    from flask import Flask, request, jsonify
    import openai
    
    app = Flask(__name__)
    openai.api_key = 'your-openai-api-key'
    
    @app.route('/chat', methods=['POST'])
    def chat():
        user_input = request.json.get('message')
        response = openai.Completion.create(
            engine="text-davinci-004",
            prompt=user_input,
            max_tokens=150
        )
        return jsonify(response.choices[0].text.strip())
    
    if __name__ == '__main__':
        app.run(debug=True)
    
  2. Deploy the Server: Host your Flask server on a platform like Heroku, AWS, or any other web hosting service.

Step 4: Connect Godot to Your Server

In your Godot project, write a script to handle HTTP requests to your server.

  1. Create a Script:

    • Attach a new script to your HTTPRequest node.
    extends HTTPRequest
    
    var server_url = "https://your-server-url/chat"
    
    func _ready():
        # Optionally, you can set up the HTTPRequest here
        pass
    
    func send_message_to_gpt(message):
        var json = {
            "message": message
        }
        var body = JSON.print(json)
        request(server_url, [], true, HTTPClient.METHOD_POST, body)
    
    func _on_request_completed(result, response_code, headers, body):
        if response_code == 200:
            var response = JSON.parse(body)
            if response.error == OK:
                var ai_response = response.result
                print(ai_response)  # Here you can handle the AI response, e.g., display it in your game
            else:
                print("JSON parse error: %s" % response.error_string)
        else:
            print("HTTP request failed with response code %d" % response_code)
    
  2. Connect Signals:

    • Connect the request_completed signal of the HTTPRequest node to the _on_request_completed method.
    func _ready():
        connect("request_completed", self, "_on_request_completed")
    

Step 5: Create NPC Interaction Logic

  1. NPC Script:

    • Create a script for your NPC that will handle player interactions and send messages to the AI.
    extends KinematicBody2D
    
    var http_request: HTTPRequest
    
    func _ready():
        http_request = $HTTPRequest
    
    func _on_player_interact(message):
        http_request.send_message_to_gpt(message)
    
    func _on_request_completed(result, response_code, headers, body):
        # Process the AI response and update NPC dialogue
        var ai_response = JSON.parse(body).result
        show_dialogue(ai_response)
    
    func show_dialogue(text):
        # Function to display the dialogue in the game
        pass
    
  2. Trigger Interaction:

    • Ensure there is a way for the player to trigger interactions with the NPC, such as a button press or proximity detection.

Step 6: Testing and Debugging

  1. Run Your Game: Test the interaction between the player and the NPC. Ensure the messages are correctly sent to the server and responses are handled properly.
  2. Debug: Check for any issues in the console output and fix any errors in the script or server setup.

Conclusion

By following these steps, you can integrate ChatGPT into your Godot game, allowing NPCs to have dynamic, AI-driven conversations with the player. Adjust the scripts and server configuration as needed to fit your specific game requirements.