AI 智能體代理伺服器：為智能體提供可靠網絡存取

Originally published on proxymint.

Proxies for AI agents give a cloud-hosted agent a home or ISP origin. Which jobs need one, which type and rotation fit, and how to wire Playwright and MCP.

TL;DR

An agent on a cloud server browses from a hosting IP. Consumer sites that score networks read a datacenter ASN on the first request and often treat it as automated, so the exit type is chosen before the agent runs.
The proxy type follows the agent's job. Agents that read APIs and docs need none or a flat-rate datacenter port, browser agents on consumer sites need residential, and recurring logged-in work needs a static ISP address.
Rotation mode should follow the task, not the product default. One-shot lookups can take a new IP per request over plain HTTP, multi-step tasks need a timed session for their whole length, and each concurrent task needs its own session.
Browser agents are heavy on bandwidth. At 2,164 KB, the Web Almanac's median across all mobile pages, 1,000 page loads a day is about 65 GB a month, and per-GB tiers meter every byte.
A proxy is not a way around a site's choice. Cloudflare now blocks its Agent traffic category by default on ad pages of new domains, and a public agent product should identify itself instead of hiding in residential pools.

Key takeaways

Map every agent tool to a proxy type and a rotation mode. Lookups, multi-step flows and logged-in tasks each get their own session model before the agent runs.
Create a fresh browser context per task. Set the proxy on the context, not the browser, so a stuck task never shares an IP or cookies with the next one.
Scope the proxy to the browser and fetch tools. A global proxy environment variable also sends the LLM API calls through a per-GB exit, which adds cost and latency for nothing.
Keep proxy credentials out of the model's context. Store them in the runtime config or a secrets manager, never in the prompt or a tool the model can read back.
Measure bytes per task before buying. Log transferred bytes for a sample of real tasks and price the month from that, not from page counts.

Read the full guide on proxymint, with the commands, tables and sources.