LangChain & Vercel AI SDK

import { generateText, tool } from 'ai';
import { z } from 'zod';

const result = await generateText({
  model: yourModel,
  tools: {
    getKeywords: tool({
      description: 'Get SEO keyword data including search volume and difficulty',
      parameters: z.object({
        keywords: z.array(z.string()),
      }),
      execute: async ({ keywords }) => {
        const res = await fetch('https://api.yepapi.com/v1/seo/keywords', {
          method: 'POST',
          headers: {
            'x-api-key': process.env.YEP_API_KEY!,
            'Content-Type': 'application/json',
          },
          body: JSON.stringify({ keywords }),
        });
        const { data } = await res.json();
        return data;
      },
    }),
  },
  prompt: 'Research SEO keywords for "nextjs tutorial"',
});

import { DynamicStructuredTool } from '@langchain/core/tools';
import { z } from 'zod';

const keywordTool = new DynamicStructuredTool({
  name: 'seo_keywords',
  description: 'Get SEO keyword data',
  schema: z.object({
    keywords: z.array(z.string()),
  }),
  func: async ({ keywords }) => {
    const res = await fetch('https://api.yepapi.com/v1/seo/keywords', {
      method: 'POST',
      headers: {
        'x-api-key': process.env.YEP_API_KEY!,
        'Content-Type': 'application/json',
      },
      body: JSON.stringify({ keywords }),
    });
    const { data } = await res.json();
    return JSON.stringify(data);
  },
});

const response = await openai.chat.completions.create({
  model: 'gpt-4',
  messages: [{ role: 'user', content: 'Get keyword data for nextjs' }],
  functions: [{
    name: 'seo_keywords',
    description: 'Get keyword search volume and difficulty',
    parameters: {
      type: 'object',
      properties: {
        keywords: { type: 'array', items: { type: 'string' } },
        location: { type: 'string', default: 'us' },
      },
      required: ['keywords'],
    },
  }],
});