Implementing a ChatGPT RTE Plugin in AEM

Step-by-Step Guide to Implementing a ChatGPT RTE Plugin in AEM

1. Understand the Plugin's Purpose

The custom RTE plugin enhances the AEM authoring experience by integrating ChatGPT. It allows authors to select text within the RTE and use ChatGPT to generate content completions, facilitating quicker and more efficient content creation.

2. Set Up OpenAI API Access

• Obtain an API Key: Sign up on the OpenAI platform and acquire an API key.

• Test API Endpoints: Use tools like Postman to test the following OpenAI endpoints:

  • Completions Endpoint: Suitable for traditional text models like text-davinci-003.

  • Chat Completions Endpoint: Designed for conversational models like gpt-3.5-turbo and gpt-4.

3. Create a Client Library for the Plugin

• Define the Client Library: In AEM, create a client library folder (e.g., /apps/your-project/clientlibs/rte-chatgpt) with the following cq:ClientLibraryFolder properties:

  • categories: Include categories like rte.coralui3 to ensure the plugin loads in the RTE.

  • dependencies: Add any necessary dependencies.

• Include JavaScript and CSS: Add your custom JavaScript and CSS files to this client library to define the plugin's behavior and styling.

4. Develop the Plugin's JavaScript Logic

• Define the Plugin: Create a JavaScript file that:

  • Registers a new plugin with the RTE.

  • Adds toolbar buttons for "ChatGPT Completion" and "ChatGPT Chat Completion".

  • Handles the selection of text and sends it to the appropriate OpenAI endpoint.

  • Processes the response and inserts the generated content back into the RTE.

Example Structure:

5. Configure the RTE to Include the Plugin

• Modify the Component Dialog: Update the cq:dialog of your text component to include the new plugin in the RTE configuration.

• Enable the Plugin: In the RTE configuration node (e.g., text/rtePlugins), add your plugin:

  json

   

  "chatgpt": { "features": "*" }

• Add Toolbar Buttons: Specify the new buttons in the uiSettings:

  json

   

  "uiSettings": { "toolbar": [ ["bold", "italic", "underline", "chatgpt#completion", "chatgpt#chatcompletion"] ] }

6. Implement Server-Side Proxy (Optional)

For security and to avoid exposing the OpenAI API key on the client side, implement a server-side proxy:

• Create a Servlet: Develop an AEM servlet that accepts requests from the plugin and forwards them to the OpenAI API.

• Handle Responses: Process the OpenAI response and return it to the plugin for insertion into the RTE.

7. Test the Plugin

• Author a Page: Open a page with the enhanced text component.

• Use the Plugin: Select text within the RTE and click on the ChatGPT buttons to generate content.

• Verify Functionality: Ensure that the plugin communicates with OpenAI and inserts the generated content appropriately.

8. Deploy and Monitor

• Deploy to Production: After thorough testing, deploy the plugin to your production environment.

• Monitor Usage: Keep an eye on the plugin's usage and performance, and gather feedback for future improvements.

By following these steps, you can successfully integrate ChatGPT into AEM's Rich Text Editor, enhancing the content creation process for authors.