AI Agent Framework: AI Agent System Development Framework

I. Understanding the underlying logic of AI agent frameworks

To be human, the AI agent framework is aRobot butlers that make decisions on their own. For example, if you want to do e-commerce price comparison, it can automatically switch different IPs to check the price. Here's the key - proxy IPs are equivalent to giving the robot countless sheets to wearDynamic Maskthat makes the target site think it's being operated by normal users.

Take a real case: a cross-border e-commerce team uses AI framework + residential agent to complete the collection of millions of commodity prices in 3 days. The core lies inIP Switching Policyrespond in singingRequest interval control, which ensures efficiency without triggering the anti-climbing mechanism.

 Simple Proxy Configuration Example
import requests

proxy = {
    'http': 'http://user:pass@gateway.ipipgo.com:9020',
    'https': 'http://user:pass@gateway.ipipgo.com:9020'
}

response = requests.get('destination URL', proxies=proxy)

II. Hands-on building of the basic framework

Don't be intimidated by the jargon, let's take it in three steps:

1. Connection of water pipes:Configure the proxy channel in the code

• Dynamic residential IPs for high-frequency request scenarios
• Static IP is suitable for services that require a fixed identity

2. Mounting the brain:Setting up decision rules

3. Test the temperature of the water:Run the process in test mode first, remember to set the timeout and retry mechanism to avoid jamming the process.

III. A Guide to Avoiding Pitfalls in Real Scenarios

Seen too many people fall prey to these problems:

• IP Failure Serial Bombing:Suggest ipipgo'sIntelligent switching modeAutomatically rejects failed nodes
• Fingerprint leaks:Browser fingerprinting + proxy IP double disguise, don't let the site see that it's a robot
• Flow rate overruns:Dynamic Residential Enterprise Package Supporttraffic alertFunction, automatic pause for overrun

Fourth, the essential skills of high-level players

These tawdry maneuvers can double efficiency:

- Dynamic management of agent pools:

 Example of automatic IP change
def get_new_ip():
    api_url = "https://api.ipipgo.com/getip?type=dynamic"
    return requests.get(api_url).json()['ip']

- Request traffic diversion:Assign different businesses to corresponding country IPs, such as checking Amazon prices with a U.S. residential IP and Rakuten data with a Japanese IP.

V. Frequently Asked Questions QA

Q: What should I do if my proxy IP is not working?
A: ipipgo's recommendedIntelligent Survival DetectionFunctionally, the IP survival rate of their house can reach over 92%, which is a cut above their peers.

Q: Which package should I choose for the best value?
A: Beginners suggest dynamic residential standard version, 35 dollars enough to run 10,000 requests. Enterprise-level users directly on the customized program, can save 30% cost.

Q: Does it support socks5 protocol?
A: ipipgo full series support HTTP/HTTPS/Socks5, the client directly choose the protocol type on the line, no need to change the code.

VI. Three axes of performance optimization

A final dry note:

1. Agent pool maintenance:Don't stuff all your IPs into one pool, manage by response rate hierarchy
2. Concurrency control:Adjust the number of threads according to the anti-climbing intensity of the target site, generally controlled between 50-200
3. Intelligent switching:Encounter CAPTCHA automatically switch static residential IP, pro-test success rate increase 60%

Speaking of which, I must apologize.ipipgo's cross-border lineThe measured latency is 200ms lower than that of an ordinary proxy, especially for real-time data capture, using their static IP at $35/month, the stability of the direct pull full.