The document layer for AI agents

import fs from 'fs'
import Anvil from '@anvilco/anvil'

const exampleData = {
  title: 'Example Invoice',
  data: [{
    label: 'Name',
    content: 'Sally Jones',
  }, {
    content: 'Lorem **ipsum** dolor sit _amet_, consectetur adipiscing elit, sed [do eiusmod](https://www.useanvil.com/docs) tempor incididunt ut labore et dolore magna aliqua. Ut placerat orci nulla pellentesque dignissim enim sit amet venenatis.\n\nMi eget mauris pharetra et ultrices neque ornare aenean.\n\n* Sagittis eu volutpat odio facilisis.\n\n* Erat nam at lectus urna.',
  }, {
    table: {
      firstRowHeaders: true,
      rows: [
        ['Description', 'Quantity', 'Price'],
        ['4x Large Widgets', '4', '$40.00'],
        ['10x Medium Sized Widgets in dark blue', '10', '$100.00'],
        ['10x Small Widgets in white', '6', '$60.00'],
      ],
    },
  }]
}

const anvilClient = new Anvil({ apiKey })
const { statusCode, data } = await anvilClient.generatePDF(exampleData)

console.log('Making Markdown PDF generation request...')
console.log('Finished! Status code:', statusCode) // => 200, 400, 404, etc

// `data` will be the filled PDF binary data. It is important that the
// data is saved with no encoding! Otherwise the PDF file will be corrupt.
fs.writeFileSync(outputFilepath, data, { encoding: null })
console.log('Generated PDF saved to:', outputFilepath)