Getting Started: TanStack AI with Azure OpenAI

Description

In this tutorial, we build a real-time streaming chat application using TanStack AI and Azure OpenAI—from scratch, in minutes. You'll learn how to connect TanStack AI's React hooks to your Azure OpenAI deployment (like gpt-4o-mini), stream responses word-by-word as they're generated, and wire up a clean, responsive chat UI using Next.js and TypeScript. What we cover: ✅ Setting up your Azure OpenAI resource and grabbing your API key, endpoint, and deployment name ✅ Configuring your .env.local with Azure credentials ✅ Building the backend /api/chat route that streams responses from Azure ✅ Using TanStack AI's useChat hook on the frontend ✅ Writing a custom Azure adapter (azure-adapter.ts) to bridge TanStack AI with Azure OpenAI ✅ Troubleshooting common errors (401, 404, missing config) Tech Stack: → TanStack AI → Next.js (App Router) → Azure OpenAI Service → TypeScript Source Code: https://github.com/scholarly360/Getting-Started-TanStack-AI-with-Azure-OpenAI Prerequisites: Node.js 22+ and an active Azure subscription with an OpenAI resource deployed. #TanStackAI #AzureOpenAI #NextJS #TypeScript #ChatApp #AITutorial #WebDevelopment