Components as Tools
Let your agent render rich React components directly in the chat by calling them as tools.
This feature (gen-ui-tool-based) hasn't been tagged in any MS Agent Harness (.NET) cell yet. Try CopilotKit's Built-in Agent, LangGraph (Python), LangGraph (TypeScript).
What is this?#
Tool-based Generative UI is the simplest form of Generative UI: you register
a React component with useComponent, and CopilotKit exposes it to the
agent as a tool. When the agent calls the tool, CopilotKit renders your
component inline in the chat, passing the tool's arguments straight through
as typed props.
Unlike tool rendering, which wraps a real backend tool in a custom UI, tool-based GenUI is the component. There is no handler, no user interaction, no server-side execution. The agent decides when to show it, populates the data, and CopilotKit paints it.
When should I use this?#
Use useComponent when you want to:
- Display rich UI (cards, charts, tables, dashboards) inline in the chat
- Show structured data the agent has derived from its reasoning
- Render previews, status indicators, or visual summaries
- Let the agent present information beyond plain text
For components that need user interaction, see Human-in-the-loop. For operational transparency around a real backend tool, see Tool rendering.
How it works in code#
useComponent takes a name, a Zod schema for its props, and the component
to render. The runtime registers it as a frontend tool so the agent can
discover it, and Zod validates the LLM's arguments before they reach your
component.
ms-agent-harness-dotnet::gen-ui-tool-based. Known demos are bundled from manifest demos[i]; check the cell id and framework slug.The component itself is ordinary React: it reads only its props and can stream in as the agent fills the payload. The example above uses Recharts for the bar chart; it doesn't know anything about CopilotKit.
The name you pass to useComponent is what the agent sees as the tool
name. Make it a verb like render_bar_chart or show_weather so the LLM
reliably picks it when the user asks for that visualization.
