Learn how to build a web agent with Vercel AI SDK and Exa. Create intelligent agents that can search the web for up-to-date information and provide contextual responses. View the guide in Vercel AI SDK docs →

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Web Search Tool Implementation

Here’s how to create a web search tool using Exa with Vercel AI SDK: 
import { generateText, tool } from 'ai';
import { openai } from '@ai-sdk/openai';
import { z } from 'zod';
import Exa from 'exa-js';

export const exa = new Exa(process.env.EXA_API_KEY);

export const webSearch = tool({
  description: 'Search the web for up-to-date information',
  parameters: z.object({
    query: z.string().min(1).max(100).describe('The search query'),
  }),
  execute: async ({ query }) => {
    const { results } = await exa.searchAndContents(query, {
      livecrawl: 'always',
      numResults: 3,
    });
    return results.map(result => ({
      title: result.title,
      url: result.url,
      content: result.text.slice(0, 1000), // take just the first 1000 characters
      publishedDate: result.publishedDate,
    }));
  },
});

const { text } = await generateText({
  model: openai('gpt-4o-mini'), // can be any model that supports tools
  prompt: 'What happened in San Francisco last week?',
  tools: {
    webSearch,
  },
  maxSteps: 2,
});
For detailed instructions on building web agents with Vercel AI SDK and Exa, visit the Vercel AI SDK documentation.