๐ŸŽฏOpenAI Operator

OpenAI Operator Proxy SetupGPT browser agents with mobile IPs

OpenAI Operator represents the next evolution of computer use agents - GPT-4 controlling a browser through visual understanding. Ensure your Operator sessions aren't blocked with real mobile proxy infrastructure.

Operator Capabilities

  • Visual understanding of web pages
  • Click, type, scroll interactions
  • Multi-step web navigation
  • Task automation from natural language

Understanding OpenAI Operator

OpenAI Operator is OpenAI's computer use agent that can browse the web and complete tasks autonomously.

Vision-Based

Operator sees the screen like a human - understanding layouts, buttons, forms, and text through GPT-4V's visual capabilities.

Natural Interaction

Clicks, types, and scrolls like a real user. No DOM manipulation or JavaScript injection - pure visual interaction.

Browser Control

Runs in a controlled browser environment. The browser needs clean IPs to avoid triggering anti-bot systems.

Why Operator Needs Mobile Proxies

Even human-like browsing can be blocked at the network level.

IP Reputation

Operator's cloud infrastructure uses datacenter IPs. Websites pre-block these ranges regardless of browsing behavior.

WAF Challenges

CloudFlare, Akamai, and PerimeterX serve challenges to suspicious IPs. Mobile IPs bypass these initial gates.

Geo-Targeting

Access region-specific content and pricing. Mobile proxies from target countries unlock localized experiences.

Session Persistence

Multi-step tasks need consistent identity. Sticky sessions maintain the same IP throughout Operator workflows.

Configuration Examples

1. Operator API Configuration

When Operator becomes available via API, configure proxy at the browser level.

from openai import OpenAI

# Initialize OpenAI client
client = OpenAI()

# Create Operator session with proxy
# Note: API structure may vary based on final release
session = client.operator.sessions.create(
    model="gpt-4-operator",
    browser_config={
        "proxy": {
            "server": "socks5://proxy.proxies.sx:10001",
            "username": "your_username",
            "password": "your_password"
        },
        "viewport": {"width": 1920, "height": 1080},
        "user_agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7)..."
    }
)

# Execute task
result = session.run(
    task="Search for flights from NYC to London on December 25th"
)

print(result.output)

2. Custom Operator-Style Agent

Build Operator-like functionality using GPT-4V and Playwright.

import asyncio
import base64
from openai import OpenAI
from playwright.async_api import async_playwright

class OperatorAgent:
    def __init__(self, proxy_server: str, proxy_user: str, proxy_pass: str):
        self.client = OpenAI()
        self.proxy_config = {
            "server": proxy_server,
            "username": proxy_user,
            "password": proxy_pass
        }

    async def run(self, task: str):
        async with async_playwright() as p:
            browser = await p.chromium.launch(
                headless=True,
                proxy=self.proxy_config
            )

            context = await browser.new_context(
                viewport={"width": 1920, "height": 1080},
                user_agent="Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7)..."
            )

            page = await context.new_page()
            await page.goto("https://google.com")

            while True:
                # Take screenshot
                screenshot = await page.screenshot()
                screenshot_b64 = base64.b64encode(screenshot).decode()

                # Ask GPT-4V what to do
                response = self.client.chat.completions.create(
                    model="gpt-4-vision-preview",
                    messages=[{
                        "role": "user",
                        "content": [
                            {"type": "text", "text": f"Task: {task}\n\nWhat action should I take?"},
                            {"type": "image_url", "image_url": {"url": f"data:image/png;base64,{screenshot_b64}"}}
                        ]
                    }]
                )

                action = self.parse_action(response.choices[0].message.content)
                if action["type"] == "done":
                    break

                await self.execute_action(page, action)

            await browser.close()

    async def execute_action(self, page, action):
        if action["type"] == "click":
            await page.click(f"text={action['target']}")
        elif action["type"] == "type":
            await page.fill(action["selector"], action["text"])
        elif action["type"] == "scroll":
            await page.evaluate(f"window.scrollBy(0, {action['amount']})")

# Usage
agent = OperatorAgent(
    proxy_server="socks5://proxy.proxies.sx:10001",
    proxy_user="your_username",
    proxy_pass="your_password"
)
asyncio.run(agent.run("Book a table at a restaurant in Manhattan for 2 people"))

3. Environment-Based Configuration

# .env configuration for Operator agents

# OpenAI
OPENAI_API_KEY=sk-your-api-key

# Proxy Configuration
PROXY_SERVER=socks5://proxy.proxies.sx:10001
PROXY_USERNAME=your_username
PROXY_PASSWORD=your_password

# Browser Settings
BROWSER_HEADLESS=true
BROWSER_VIEWPORT_WIDTH=1920
BROWSER_VIEWPORT_HEIGHT=1080

# Agent Settings
MAX_STEPS=50
SCREENSHOT_QUALITY=80
ACTION_DELAY_MS=500

4. Session Management

class OperatorSessionManager:
    """Manage Operator sessions with proxy rotation"""

    def __init__(self, proxy_ports: list[int]):
        self.proxy_ports = proxy_ports
        self.current_index = 0
        self.sessions = {}

    def get_proxy_for_task(self, task_id: str, sticky: bool = True) -> dict:
        """Get proxy configuration for a task"""
        if sticky and task_id in self.sessions:
            return self.sessions[task_id]

        # Round-robin port selection
        port = self.proxy_ports[self.current_index]
        self.current_index = (self.current_index + 1) % len(self.proxy_ports)

        proxy_config = {
            "server": f"socks5://proxy.proxies.sx:{port}",
            "username": "your_username",
            "password": "your_password"
        }

        if sticky:
            self.sessions[task_id] = proxy_config

        return proxy_config

    def release_session(self, task_id: str):
        """Release a sticky session"""
        if task_id in self.sessions:
            del self.sessions[task_id]

# Usage
manager = OperatorSessionManager(proxy_ports=[10001, 10002, 10003, 10004, 10005])

# Get sticky session for multi-step task
proxy = manager.get_proxy_for_task("flight_booking_123", sticky=True)

# Complete task...

# Release session when done
manager.release_session("flight_booking_123")
Note: OpenAI Operator's final API structure may differ. This guide covers proxy integration patterns applicable to any vision-based browser agent.

Operator Proxy Best Practices

Use Sticky Sessions

Operator tasks often span multiple pages. Keep the same IP throughout a workflow to maintain login state and avoid detection.

Match Geo to Task

Booking a restaurant in NYC? Use a US proxy. Shopping in the UK? Use UK mobile IPs. Location consistency builds trust.

Add Natural Delays

Even vision-based agents can act too fast. Add 500-1000ms delays between actions to appear more human-like.

Handle Failures

If a task fails with access denied, rotate to a fresh proxy port and retry. Build automatic recovery into your workflows.

Operator Use Cases

โœˆ๏ธ

Travel Booking

Search flights, compare hotels, book reservations across multiple sites.

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E-commerce

Price comparison, stock monitoring, automated purchasing workflows.

๐Ÿ“‹

Form Automation

Application submissions, data entry, government form filings.

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Research

Gather information from multiple sources, compile reports.

๐Ÿ“Š

Data Collection

Extract structured data from websites, build datasets.

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QA Testing

Automated user flow testing, cross-browser compatibility checks.

Ready for AI Browser Automation

Get reliable web access for OpenAI Operator and vision-based agents with real mobile IPs.