If you write code outside mainland China and deploy inside it, you already know the shape of this problem: the API works from your laptop and times out from your server.
The actual failure modes
Three things break, in this order:
- TLS handshakes to some endpoints get reset intermittently, not consistently. Hard to reproduce, easy to blame on your code.
- Latency spikes that look like model slowness but are network-side.
- Payment rails — even when the network is fine, billing is where it stops.
What a relay actually does
A relay terminates your request domestically and forwards it over a stable egress path. Done well, it is transparent: same request shape, same response shape, one base URL change.
Done badly, it is a single point of failure with worse uptime than what you started with.
When it is the wrong answer
- You need provider-specific beta features that the relay has not implemented
- You need a data residency guarantee the relay cannot give you in writing
- Your traffic is low enough that retry logic on your side is genuinely simpler
The practical checklist
Before picking one, verify: does it expose the same request schema, does it document its egress path, and can you get per-token cost attribution rather than a monthly total?
I wrote a longer comparison of the trade-offs, including how to test a relay before committing, at API relay station worth it and a setup guide for Claude-compatible clients.
Rule of thumb: if you cannot articulate what breaks without the relay, you are adding a dependency for reasons you cannot measure.
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