"Every developer who's built an AI feature knows how quickly a simple chat setup grows complex. You start with an API call and streaming text, then run into tool calls, multi-step workflows, and state management, ending up with brittle handlers and custom WebSocket logic. Most AI apps stop at a chat box with a model behind it. The Agent User Interaction (AG UI) Protocol takes a different path by defining a structured, event-driven contract between agents, tools, and UIs."
"This guide is for developers who want to move beyond basic chat UIs and build event-driven AI experiences. We'll walk through the core ideas, then build a CLI client using the AG-UI TypeScript SDK with streaming output, tool calls, and multi-step runs. By the end, you'll understand how AG-UI works in practice and whether it's a better choice than stitching everything together yourself."
AG-UI defines a structured, event-driven contract between agents, tools, and user interfaces to simplify complex AI workflows. The protocol supports streaming output, tool calls, messages, and UI state natively, reducing the need for brittle custom handlers and ad-hoc WebSocket logic. The approach enables multi-step runs and coordinated tool usage without manual wiring for each integration. A practical example uses the AG-UI TypeScript SDK to build a CLI client that demonstrates streaming, tool integration, and multi-step execution. The protocol aims to move AI applications beyond single chat boxes into resilient, composable experiences.
Read at LogRocket Blog
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