If you've ever built web applications with local language models or attempted to experiment with them, you're likely familiar with the challenges: creating custom hooks and UI components from scratch, and building complex integration layers to fall back to server-side models when client-side compatibility is an issue.

To simplify this, I've created 2 new model providers for the Vercel AI SDK that makes it easy to use local and in-browser AI models with a unified API. This allows you to leverage the power of the AI SDK.

It currently supports:

- Chrome/Edge Built-in AI: Leverages the experimental Prompt API in Chrome (Gemini Nano) and Edge (Phi-4-mini) for native performance. It even includes support for multimodal inputs (images and audio), text embeddings and generating structured data.

- WebLLM Integration: Run popular open-source models like Llama 3 and Qwen directly in the browser.

The core idea is to offer a seamless developer experience. You can use the same streamText, generateText, streamObject, generateObject and useChat hook from the Vercel AI SDK, and easily switch to server-side models if the client lacks compatibility.

This is still in its early stages, and I would love to get your feedback, suggestions and help me improve it.