The AIConfig Editor works by installing the python-aiconfig pip package in the Python environment. When a `*.aiconfig.yaml` file is opened in VS Code, the extension launches a Python server running the AIConfig SDK. As prompts are edited and run in the editor, the server uses the AIConfig SDK to execute those prompts. The extension also allows for extensibility and customization, enabling users to install additional extensions and dependencies in the Python environment and use them in the AIConfig Editor.
Key takeaways:
- AIConfig Editor is an extension for Visual Studio Code that transforms it into a generative AI prompt IDE, supporting models from any provider and any modality.
- The prompts and model settings are saved in a `.aiconfig.yaml` or `.aiconfig.json` file, which can be source controlled and used in your application code via the AIConfig SDK.
- Key features of AIConfig Editor include access to local and remote models in one place, a universal prompt engineering playground, version control prompts, and the ability to connect to your own models and endpoints.
- The extension supports all major foundation models from major model providers and allows for extensibility and customization with additional AIConfig Extensions in your Python environment.