Display components

"""LlamaIndex agent for the Tool-Based Generative UI demo.The frontend registers `render_bar_chart` and `render_pie_chart` tools via`useComponent`. The AG-UI protocol forwards those tool definitions to theagent at request time, so the backend agent itself declares no bespoketools — the LLM sees the frontend tools through the AG-UI request payloadand picks one to call when the user asks for a chart.Mirrors `langgraph-python/src/agents/gen_ui_tool_based.py`."""from __future__ import annotationsimport osfrom llama_index.llms.openai import OpenAIfrom llama_index.protocols.ag_ui.router import get_ag_ui_workflow_routerSYSTEM_PROMPT = """You are a data visualization and creative assistant.When the user asks for a chart, call `render_bar_chart` or `render_pie_chart`with a concise title, short description, and a `data` array of`{label, value}` items. Pick bar for comparisons over a small set ofcategories; pick pie for composition / share-of-whole.When the user asks for a haiku, call `generate_haiku` with the Japanesetext, English translation, an image name, and a gradient color.Keep chat responses brief -- let the visual output do the talking."""_openai_kwargs = {}if os.environ.get("OPENAI_BASE_URL"):    _openai_kwargs["api_base"] = os.environ["OPENAI_BASE_URL"]gen_ui_tool_based_router = get_ag_ui_workflow_router(    llm=OpenAI(model="gpt-4o-mini", **_openai_kwargs),    frontend_tools=[],    backend_tools=[],    system_prompt=SYSTEM_PROMPT,    initial_state={},)

What is this?#

Render-only generative UI lets you register React components as tools your agent can invoke. When the agent calls the tool, CopilotKit renders your component directly in the chat with the tool's arguments as props; no handler logic or user interaction required.


useComponent({
name: "showChart",
description: "Populate data and show the user a chart",
parameters: ChartProps,
render: Chart
});


export const ChartProps = z.object({
  title: z.string(),
  data: z.array(z.object({ label: z.string(), value: z.number() })),
});

export function Chart({ title, data }: z.infer<typeof ChartProps>) {
  return (
    <div>
      <h3>{title}</h3>
      <ResponsiveContainer width="100%" height={300}>
        <BarChart data={data}>
          <XAxis dataKey="label" /><YAxis /><Tooltip />
          <Bar dataKey="value" fill="#6366f1" />
        </BarChart>
      </ResponsiveContainer>
    </div>
  );
}

When should I use this?#

Use render-only generative UI when you want to:

Display rich UI (cards, charts, tables) inline in the chat
Show structured data from agent responses
Render previews, status indicators, or visual feedback
Let the agent present information beyond plain text

How it works in code#

The renderer component receives the tool's arguments as typed props and mounts inline in the chat. Below is the chart renderer wired up in the canonical demo — the agent emits the data, the component draws it.

page.tsx

import React from "react";import {  CopilotChat,  CopilotKit,  useComponent,} from "@copilotkit/react-core/v2";import { BarChart, barChartPropsSchema } from "./bar-chart";import { PieChart, pieChartPropsSchema } from "./pie-chart";import { useSuggestions } from "./suggestions";function Chat() {  useComponent({    name: "render_bar_chart",    description: "Display a bar chart with labeled numeric values.",    parameters: barChartPropsSchema,    render: BarChart,  });