usePrompt

React adapter for @web-ai-sdk/prompt. Runs single-shot prompts on demand via ask(input) and exposes status, streaming response text, and abort / reset controls. For the conceptual overview of the underlying API see Prompt.

Live demo

Type a question and click “Ask”. Tokens stream in as the model produces them. Click “Cancel” to abort mid-stream.

Usage

import { usePrompt } from "@web-ai-sdk/prompt/react";

export function AskBox() {
  const { status, response, error, ask, abort } = usePrompt({
    systemPrompt: "You are a helpful assistant. Be concise.",
    temperature: 0.7,
  });

  if (status === "unavailable") return null;

  return (
    <form
      onSubmit={(e) => {
        e.preventDefault();
        const input = new FormData(e.currentTarget).get("q") as string;
        if (input) ask(input);
      }}
    >
      <input name="q" placeholder="Ask anything" />
      <button type="submit" disabled={status === "loading" || status === "streaming"}>
        {status === "streaming" ? "Streaming…" : "Ask"}
      </button>
      {response && <p>{response}</p>}
      {error && <small>{error.message}</small>}
    </form>
  );
}

The hook doesn’t auto-run on mount; you call ask(input) from a form submit, button click, or any event. Each call cancels any in-flight request and starts a fresh one.

State machine

idle ───► loading ───► streaming ───► done
                                       │
unavailable ◄─── (no flag / no model)  │
                                       ▼
                                    reset() / abort()

• idle: ready. Call ask(input) to start.
• loading: warming the LanguageModel.create() session (~1-3s cold start).
• streaming: chunks arriving. response grows on each chunk; render it directly for a typewriter effect.
• done: final response in response. fromCache is true if the result came from the opt-in result cache (i.e. you passed cache and a prior call wrote to it).
• unavailable: API missing. Render nothing or a fallback.

abort() cancels the current request and flips status back to idle. reset() clears the response and returns to idle without touching any in-flight request.

Stable options

Pass cache, createOptions, expectedInputs, etc. as stable references. The hook keeps the latest options in a ref so the ask callback stays stable across renders without restarting on every render.

Streaming UX

response updates on every chunk during streaming. A naive <p>{response}</p> already produces a typewriter effect because React re-renders on each state change. If chunks arrive faster than you want to repaint, debounce on the consumer side.

Multi-turn

usePrompt is single-shot per ask(). For multi-turn conversation where each chat needs independent context and streams should run concurrently, use useSession — it returns a per-component, never-shared LanguageModel session with history, send, abort, and clear.

Reference

import type { UsePromptOptions, UsePromptReturn, PromptStatus } from "@web-ai-sdk/prompt/react";

type PromptStatus = "idle" | "loading" | "streaming" | "done" | "unavailable";

interface UsePromptOptions extends Omit<AskOptions, "input" | "onUpdate" | "signal"> {
  // Inherited from AskOptions (subset shown — see Prompt guide):
  systemPrompt?: string;
  temperature?: number;
  topK?: number;
  language?: string;
  supportedLanguages?: readonly string[];
  expectedInputs?: LanguageModelExpectedInput[];
  expectedOutputs?: LanguageModelExpectedOutput[];
  responseConstraint?: object;        // JSON Schema for structured output
  createOptions?: LanguageModelCreateOptions;
  cache?: ResponseCache;
  cacheKey?: string;
}

interface UsePromptReturn {
  status: PromptStatus;
  response: string | null;
  error: Error | null;
  fromCache: boolean;
  ask(input: string): Promise<void>;  // cancels any in-flight request first
  abort(): void;                      // cancel in-flight; status → "idle"
  reset(): void;                      // clear response without aborting
}

declare const usePrompt: (options?: UsePromptOptions) => UsePromptReturn;

Source: packages/prompt/src/react/index.ts.