Perplexity with the Vercel AI SDK

export PERPLEXITY_API_KEY="your_api_key_here"

import { perplexity } from "@ai-sdk/perplexity";
import { generateText } from "ai";

const { text } = await generateText({
  model: perplexity("sonar-pro"),
  prompt: "What are the latest developments in quantum computing?",
});

console.log(text);

import { perplexity } from "@ai-sdk/perplexity";
import { generateText } from "ai";

const { text, sources } = await generateText({
  model: perplexity("sonar-pro"),
  prompt: "What are the latest developments in quantum computing?",
});

console.log(text);
console.log(sources);

import { perplexity } from "@ai-sdk/perplexity";
import { generateText } from "ai";

const result = await generateText({
  model: perplexity("sonar-pro"),
  prompt: "What are the latest developments in quantum computing?",
  providerOptions: {
    perplexity: {
      return_images: true,
      search_recency_filter: "week",
    },
  },
});

console.log(result.providerMetadata);
// {
//   perplexity: {
//     usage: { citationTokens: 5286, numSearchQueries: 1 },
//     images: [{ imageUrl: "...", originUrl: "...", height: 1280, width: 720 }],
//   },
// }

import { createPerplexity } from "@ai-sdk/perplexity";

const perplexity = createPerplexity({
  apiKey: process.env.PERPLEXITY_API_KEY ?? "",
  baseURL: "https://api.perplexity.ai",
  headers: {
    "X-Pplx-Integration": "my-app/1.0",
  },
});

import { perplexity } from "@ai-sdk/perplexity";
import { generateText } from "ai";
import fs from "node:fs";

const result = await generateText({
  model: perplexity("sonar-pro"),
  messages: [
    {
      role: "user",
      content: [
        { type: "text", text: "What is this document about?" },
        {
          type: "file",
          data: fs.readFileSync("./data/ai.pdf"),
          mediaType: "application/pdf",
          filename: "ai.pdf",
        },
      ],
    },
  ],
});

{
  type: "file",
  data: new URL("https://example.com/document.pdf"),
  mediaType: "application/pdf",
  filename: "document.pdf",
}

import { perplexity } from "@ai-sdk/perplexity";
import { streamText } from "ai";

const result = streamText({
  model: perplexity("sonar"),
  prompt: "Give me a one-sentence summary of this week's AI news.",
});

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