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@ai11y/react

v0.0.1

Published

Thin React wrapper for ai11y. Uses the same **describe → plan → act** flow: wrap your app in `Ai11yProvider`, mark elements with `Marker`, and use `useAi11yContext()` for `describe` and `act`; call `plan()` from `@ai11y/core`.

Readme

@ai11y/react

Thin React wrapper for ai11y. Uses the same describe → plan → act flow: wrap your app in Ai11yProvider, mark elements with Marker, and use useAi11yContext() for describe and act; call plan() from @ai11y/core.

Installation

pnpm add @ai11y/react @ai11y/core

Usage

Wrap your app in Ai11yProvider and use Marker so elements are registered for describe(). Get describe and act from useAi11yContext() and call plan() from @ai11y/core:

import { Ai11yProvider, Marker, useAi11yContext } from "@ai11y/react";
import { plan } from "@ai11y/core";

function App() {
  return (
    <Ai11yProvider onNavigate={(route) => navigate(route)}>
      <YourApp />
    </Ai11yProvider>
  );
}

function Chat() {
  const { describe, act } = useAi11yContext();
  const handleSubmit = async (input: string) => {
    const ui = describe();
    const { reply, instructions } = await plan(ui, input);
    for (const instruction of instructions ?? []) act(instruction);
    return reply;
  };
  // ... render input and messages
}

Mark elements so your agent can see them:

<Marker id="save_btn" label="Save" intent="Save the document">
  <button onClick={onSave}>Save</button>
</Marker>

For the plan step with an LLM, point the client at your server endpoint; see packages/agent/README.md.