assistant-ui

Building a React AI chat UI with streaming requires selecting the right runtime, such as AI SDK or LangGraph, and managing message rendering through layered primitives. This Skill resolves architecture questions and identifies essential packages for production-ready multi-thread chat applications.

Yes, assistant-ui works with LangGraph, AI SDK, AG-UI, A2A, and custom backend transports. It provides integration planning to help you choose the correct runtime and backend adapter guidance for your specific React-based AI assistant requirements.

Troubleshooting AI chat UI runtime wiring requires understanding the layered hook and primitive model that controls message state flow. This Skill clarifies the architecture to help you identify package dependencies, compatibility constraints, and first debugging steps for your chat app.

Managing multiple chat threads and custom message parts in React involves using specific UI primitives and runtime state hooks. This Skill explains the layered API model to help you implement multi-thread chat apps, handle streaming responses, and extend existing AI products with cloud persistence.

Losing chat interface state during backend adapter integration usually stems from incorrect runtime selection or mismatched package dependencies. This Skill identifies compatibility constraints across various transports and provides accurate interpretation of layered APIs to resolve state flow issues.

You need specific UI primitives when your AI assistant requires complex message rendering, real-time streaming, or multi-thread management. This Skill helps you map your use case to the correct primitive and hook layers to ensure proper state flow and cloud observability.