Agentic File Usage

import Anchorbrowser from 'anchorbrowser';
import JSZip from 'jszip';

const ANCHOR_API_KEY = process.env.ANCHOR_API_KEY;

// Initialize Anchor client
const anchorClient = new Anchorbrowser({
  apiKey: ANCHOR_API_KEY,
});

// Create a new session
const session = await anchorClient.sessions.create();
console.log('session live view url:', session.data?.live_view_url);
const sessionId = session.data?.id;

// 1. Create a test ZIP file with content
const zip = new JSZip();
zip.file('test.txt', 'Hello from Anchor!\nThis is a test file for the agent.');
const zipBlob = await zip.generateAsync({ type: 'blob' });
const zipFile = new File([zipBlob], 'test-data.zip', { type: 'application/zip' });

console.log(`Uploading file to session...`);
// 2. Upload to browser session
const fileUploadResult = await anchorClient.sessions.agent.files.upload(sessionId!, {
  file: zipFile
});
console.log('Upload result:', fileUploadResult);

// 3. Use uploaded files with AI agent
const result = await anchorClient.agent.task('upload a file to the server', {
  taskOptions: {
      url: 'https://v0-download-and-upload-text.vercel.app/',
    },
  sessionId: sessionId
  });
console.log('AI agent result:', result);

import os
import zipfile
import tempfile
from anchorbrowser import Anchorbrowser

ANCHOR_API_KEY = os.getenv("ANCHOR_API_KEY")

# Initialize Anchor client
anchor_client = Anchorbrowser(api_key=ANCHOR_API_KEY)

# Create a new session
session = anchor_client.sessions.create()
print('session live view url:', session.data.live_view_url)
session_id = session.data.id

# 1. Create a test ZIP file with content
with tempfile.NamedTemporaryFile(suffix='.zip', delete=False) as temp_zip:
    with zipfile.ZipFile(temp_zip.name, 'w') as zip_file:
        zip_file.writestr('test.txt', 'Hello from Anchor!\nThis is a test file for the agent.')
    
    # 2. Upload to browser session
    with open(temp_zip.name, 'rb') as zip_file:
        result = anchor_client.sessions.agent.files.upload(
            session_id=session_id,
            file=zip_file
        )
    
    # Clean up temporary file
    os.unlink(temp_zip.name)

print('Upload result:', result)

# 3. Use uploaded files with AI agent
result = anchor_client.agent.task('upload a file to the server',
    task_options={
        "url": 'https://v0-download-and-upload-text.vercel.app/',
      },
      session_id=session_id,
    )
print('AI agent result:', result)