Perplexity with the Vercel AI SDK

export PERPLEXITY_API_KEY="your_api_key_here"

import { createOpenResponses } from "@ai-sdk/open-responses";
import { generateText } from "ai";

const perplexity = createOpenResponses({
  name: "perplexity",
  url: "https://api.perplexity.ai/v1/responses",
  apiKey: process.env.PERPLEXITY_API_KEY,
});

const { text } = await generateText({
  model: perplexity("openai/gpt-5.6-sol"),
  prompt: "Explain the difference between supervised and unsupervised learning.",
});

console.log(text);

import { createOpenResponses } from "@ai-sdk/open-responses";
import { generateText } from "ai";

// The provider doesn't surface sources on the result, so capture them in the hook.
let sources = [];

const perplexity = createOpenResponses({
  name: "perplexity",
  url: "https://api.perplexity.ai/v1/responses",
  apiKey: process.env.PERPLEXITY_API_KEY,
  fetch: async (url, options) => {
    const body = JSON.parse(options.body as string);
    // Enable the built-in web_search tool by adding it to the request body.
    body.tools = [{ type: "web_search" }];
    const response = await fetch(url, { ...options, body: JSON.stringify(body) });

    // Sources arrive as a separate `search_results` item in the response `output` array.
    // (Skip for streaming, where the body is an event stream rather than JSON.)
    if (!body.stream) {
      const raw = await response.clone().json();
      sources = raw.output
        .filter((item) => item.type === "search_results")
        .flatMap((item) => item.results); // each: { title, url, snippet, date, ... }
    }

    return response;
  },
});

const { text } = await generateText({
  model: perplexity("openai/gpt-5.6-sol"),
  prompt: "What are the latest breakthroughs in fusion energy this year?",
});

console.log(text);

for (const source of sources) {
  console.log(source.title, source.url);
}

// In the fetch hook, set a preset instead of adding tools:
body.preset = "fast"; // fast | low | medium | high | xhigh

import { streamText } from "ai";

// Reuse the `perplexity` provider created above.
const result = streamText({
  model: perplexity("openai/gpt-5.6-sol"),
  prompt: "What are the latest breakthroughs in fusion energy this year?",
});

for await (const chunk of result.textStream) {
  process.stdout.write(chunk);
}

perplexity("openai/gpt-5.6-sol");
perplexity("google/gemini-3-flash-preview");
perplexity("xai/grok-4.5");