AI Agent Proxies for Isolated Worker Sessions

import requests
from concurrent.futures import ThreadPoolExecutor

# BytesFlows session isolation: append "-session-{unique_id}" to username
PROXY_HOST = "proxy.bytesflows.com:31112"
BASE_USER = "user-youraccount-country-us"
PASSWORD = "yourpassword"

def run_agent_task(task_id: int, url: str):
    # Every worker thread gets its own sticky residential IP
    session_user = f"{BASE_USER}-session-worker_{task_id}"
    proxies = {
        "http": f"http://{session_user}:{PASSWORD}@{PROXY_HOST}",
        "https": f"http://{session_user}:{PASSWORD}@{PROXY_HOST}"
    }
    
    resp = requests.get(url, proxies=proxies, timeout=10)
    print(f"[Worker #{task_id}] Status: {resp.status_code} | IP: {resp.json().get('origin')}")

# Launch 5 concurrent agent workers with zero IP collisions
urls = ["https://httpbin.org/ip"] * 5
with ThreadPoolExecutor(max_workers=5) as executor:
    for i, target_url in enumerate(urls):
        executor.submit(run_agent_task, i+1, target_url)