VS Code API. VS Code API is a set of JavaScript APIs that you can invoke in your Visual Studio Code extension. This page lists all VS Code APIs available to extension authors. API namespaces and classes. This listing is compiled from the vscode.d.ts file from the VS Code repository. authentication

Find a popular generative AI model by publisher and source. Bring your own model that is hosted with a URL, or select an Ollama model.

In fact, many core features of VS Code are built as extensions and use the same Extension API. This documentation describes: How to build, run, debug, test, and publish an extension; How to take advantage of VS Code's rich Extension API; Where to find guides and code samples to help get you started; Following our UX guidelines for best practices

If your own model supports the OpenAI API contract, you can host it in the cloud and add the model to AI Toolkit as a custom model. You need to provide key information such as model endpoint URL, access key and model name.

FastAPI is a modern high-performant web framework for building APIs with Python. It is designed to make it easy to build APIs quickly and efficiently while providing features like automatic validation, serialization, and documentation of your API, making it a popular choice for building web services and microservices.

Overview of how to extend GitHub Copilot in your Visual Studio Code extension by using the Chat API or Language Model API.

AI engineers can use AI Toolkit to discover and try popular AI models easily with playground that has attachment support, run multiple prompts in batch mode, evaluate the prompts in a …

Copilot Edits makes changes across files in your codebase with a UI designed for rapid iteration. It's the fastest way to add new functionality to your apps. Copilot predicts your next thought with Next Edit Suggestions. Use the Tab key to accept AI-powered suggestions right in your editor.

To manage the available models for chat: Select Manage Models from the language model picker in the Chat view.. Alternatively, run the GitHub Copilot: Manage Models command from the Command Palette.. Select a model provider from the list. Enter the provider-specific details, such as the API key or endpoint URL.

AI Toolkit generates the code for the model you selected by using the provider's client SDK. For models hosted by GitHub, you can choose which inference SDK you want to use: Azure AI Inference SDK or the SDK from the model provider, such as OpenAI SDK or Mistral API.