Real-Time AI Agent Streaming with HazelJS: A Complete Guide
Building ChatGPT-like streaming experiences with Server-Sent Events Introduction In the world of AI applications, user experience is everything. When users interact with AI agents, they expect imme...

Source: DEV Community
Building ChatGPT-like streaming experiences with Server-Sent Events Introduction In the world of AI applications, user experience is everything. When users interact with AI agents, they expect immediate, real-time feedback—not a loading spinner followed by a wall of text. This is where streaming becomes crucial. In this comprehensive guide, we'll explore how to build production-ready, real-time AI agent streaming using HazelJS, complete with: ✅ True word-by-word token streaming (like ChatGPT) ✅ Server-Sent Events (SSE) for web applications ✅ Plain text streaming for terminal/CLI usage ✅ Beautiful web UI with real-time metrics ✅ Production-ready error handling By the end of this post, you'll have a fully functional streaming AI agent that delivers tokens in real-time, providing an exceptional user experience. Table of Contents Why Streaming Matters The Challenge: Async Generator Buffering The Solution: Server-Sent Events Implementation Overview Building the Streaming Backend Creating th