Proxies for AI Agents:
The Complete Guide

from browser_use import Agent, BrowserConfig
from langchain_openai import ChatOpenAI

# Configure mobile proxy
browser_config = BrowserConfig(
    proxy={
        "server": "http://proxy.proxies.sx:10001",
        "username": "your-username",
        "password": "your-password",
    },
    headless=True,
)

# Create agent with proxy-backed browser
agent = Agent(
    task="Find the current price of iPhone 16 Pro on Amazon US",
    llm=ChatOpenAI(model="gpt-4o"),
    browser_config=browser_config,
)

result = await agent.run()
print(result)  # Reliable result via mobile IP

import { chromium } from 'playwright';

// Launch browser with mobile proxy
const browser = await chromium.launch({
  proxy: {
    server: 'http://proxy.proxies.sx:10001',
    username: 'your-username',
    password: 'your-password',
  },
});

const page = await browser.newPage();

// Agent browses through mobile IP
await page.goto('https://target-website.com');
const content = await page.content();

// Feed content to LLM for analysis
const analysis = await llm.analyze(content);

// Agent decides next action based on page content
if (analysis.needsLogin) {
  await page.fill('#email', credentials.email);
  await page.fill('#password', credentials.password);
  await page.click('#submit');
}

await browser.close();

// claude_desktop_config.json - Multi-agent setup
{
  "mcpServers": {
    "proxies-sx": {
      "command": "npx",
      "args": ["-y", "@proxies-sx/mcp-server"],
      "env": {
        "PROXIES_SX_API_KEY": "your-api-key"
      }
    }
  }
}

// Agent conversation:
// "Create 5 US mobile proxy ports for parallel research"
// "Assign port 10001 to the pricing agent"
// "Assign port 10002 to the competitor analysis agent"
// "Rotate port 10003 to a new IP - it got rate limited"
// "Show bandwidth usage for all ports this session"