chapter three

3 Connecting AI models with the Vercel AI SDK

 

This chapter covers

  • Overview of the Vercel AI SDK for React/Next.js
  • Incorporating streaming AI responses in React apps
  • Separating AI and UI state in React/Next.js
  • Enhancing conversational UIs with multimedia content

When building our minimal AI application, we encountered several challenges. One was vendor lock-in. Since our direct API calls created a tight coupling with a single provider, it would be difficult to switch services if we ever needed to. A second has to do with streaming responses: Delivering AI responses in real-time is a critical user experience feature that requires significant, non-trivial architectural changes. Finally, there is the problem of state management. As applications grow, managing both UI state and the conversational state (memory) becomes a complex task requiring a robust, scalable solution.

Rather than building custom solutions for each of these problems, a better approach is to leverage a dedicated framework that provides these capabilities out of the box. Enter the Vercel AI SDK (https://vercel.com/docs/ai), an open-source framework developed by Vercel that offers powerful abstractions to streamline the development of AI projects in JavaScript and TypeScript.

3.1 Introduction to the Vercel AI SDK

3.1.1 Key features and benefits

3.1.2 A strategic approach to integration

3.1.3 Practical Integration: Vercel AI SDK with Astra AI

3.2 Handling streaming responses with the Vercel AI SDK

3.2.1 Challenges and how the SDK solves streaming in web applications

3.2.2 Implementing streaming with Vercel AI SDK

3.2.3 Integrating streaming into Astra AI

3.3 Working with multiple AI providers

3.3.1 Handling different AI providers and models

3.3.2 Leveraging the Vercel AI SDK's interoperability

3.3.3 Astra AI project: Integrating multiple AI providers and models

3.4 Enhancing conversational UIs with multimedia content

3.4.1 Introduction to OpenAI's vision capabilities

3.4.2 Astra AI project: Integrating Gemini vision queries

3.5 Summary