Most “AI demos” are a text box wired to an LLM. That works until the model tries to search the web, read a URL, or spend money on tools without you noticing.

This project is different. It is a small but complete app: a React chat UI, a FastAPI backend, and an agent definition you keep in Git. The interesting part is not the chat bubbles—it is how the same UI talks to three different runtimes (cloud managed agent, local open-source agent, or your own LangGraph deployment) and how it pauses the agent until a human approves a web search.