ASP.NET Core 10: Real-Time AI Streaming with ASP.NET Core 10 and Azure OpenAI
This article walks through building a token-streaming technical chat application using ASP.NET Core 10, the new Microsoft.Extensions.AI abstraction layer, and Azure OpenAI. The server streams each response token to the browser as it is generated, and a progress bar advances in real time to show the user that work is happening. 1. Why Streaming Matters for AI Applications Large language models generate text one token at a time. A complete answer to a technical question may contain several hundred tokens and take multiple seconds to produce. Without streaming, the server silently waits for every token, then sends the full response in one HTTP reply. From the user's perspective the application appears frozen for those seconds. With streaming, each token is forwarded to the browser the moment it leaves the model, so the answer builds up visibly in real time. There are three concrete reasons this matters: Perceived performance. The user sees the response start w...