import { Agent } from 'browser-use';
import { ChatOpenAI } from 'browser-use/llm/openai';

const agent = new Agent({
  task: 'Go to google.com and search for "TypeScript tutorials"',
  llm: new ChatOpenAI({
    model: 'gpt-4o',
    apiKey: process.env.OPENAI_API_KEY,
  }),
});

const history = await agent.run();
console.log('Result:', history.final_result());
console.log('Success:', history.is_successful());

const agent = new Agent({
  task: `Go to amazon.com, search for "wireless keyboard",
         extract the name, price, and rating of the first 5 products as JSON`,
  llm,
  use_vision: true,
});

const history = await agent.run(30);
console.log(history.final_result());

const agent = new Agent({
  task: 'Login to the dashboard',
  llm,
  sensitive_data: {
    '*.example.com': {
      username: process.env.SITE_USERNAME!,
      password: process.env.SITE_PASSWORD!,
    },
  },
  browser_session: new BrowserSession({
    browser_profile: new BrowserProfile({
      allowed_domains: ['*.example.com'],
    }),
  }),
});

import { Controller, ActionResult } from 'browser-use';
import { z } from 'zod';

const controller = new Controller();

controller.registry.action('Save screenshot to file', {
  param_model: z.object({
    filename: z.string().describe('Output filename'),
  }),
})(async function save_screenshot(params, ctx) {
  const screenshot = await ctx.page.screenshot();
  fs.writeFileSync(`./screenshots/${params.filename}`, screenshot);
  return new ActionResult({
    extracted_content: `Screenshot saved as ${params.filename}`,
  });
});

const agent = new Agent({ task: '...', llm, controller });

const agent = new Agent({
  task: 'Navigate to hacker news and summarize the top stories',
  llm,
  use_vision: true,
  vision_detail_level: 'high', // 'auto' | 'low' | 'high'
  generate_gif: './session.gif',
});

const agent = new Agent({
  task: `Compare "Sony WH-1000XM5" prices:
    1. Open amazon.com and search for the product
    2. Open bestbuy.com in a new tab and search
    3. Provide a comparison summary`,
  llm,
  use_vision: true,
});

const agent = new Agent({ task: '...', llm });

agent.eventbus.on('CreateAgentStepEvent', (event) => {
  console.log('Step completed:', event.step_id);
});

await agent.run();

const agent = new Agent({
  task: 'Your task',
  llm,
  use_vision: true, // Enable screenshot analysis
  max_actions_per_step: 5, // Actions per LLM call
  max_failures: 3, // Max retries on failure
  generate_gif: './recording.gif', // Session recording
  validate_output: true, // Strict output validation
  use_thinking: true, // Extended thinking prompts
  llm_timeout: 60, // LLM call timeout (seconds)
  step_timeout: 180, // Step timeout (seconds)
  extend_system_message: 'Be concise', // Custom prompt additions
});

const history = await agent.run(50); // Max 50 steps

import { BrowserProfile, BrowserSession } from 'browser-use';

const profile = new BrowserProfile({
  headless: true,
  viewport: { width: 1920, height: 1080 },
  user_data_dir: './my-profile', // Persistent sessions
  allowed_domains: ['*.example.com'], // Domain restrictions
  highlight_elements: true, // Visual debugging
  proxy: { server: 'http://proxy:8080' },
});

const session = new BrowserSession({ browser_profile: profile });
const agent = new Agent({ task: '...', llm, browser_session: session });

const agent = new Agent({
  task: 'Login and fetch invoices',
  llm,
  sensitive_data: {
    '*.example.com': {
      username: process.env.USERNAME!,
      password: process.env.PASSWORD!,
    },
  },
  browser_session: new BrowserSession({
    browser_profile: new BrowserProfile({
      allowed_domains: ['*.example.com'],
    }),
  }),
});