Proxies for AI agents: giving an agent reliable web access

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.