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How OpenAI/Codex users should choose an API relay

OpenAI/Codex usage needs sustained stability, not just one successful request. Coding, file reading, long-context work, and tool loops amplify relay i...

OpenAI/Codex usage needs sustained stability, not just one successful request. Coding, file reading, long-context work, and tool loops amplify relay instability.

Start small with monitored candidates such as YunDou, lingxicode, SudoCode, but do not treat ranking as the final answer.

Testing steps

Run a real 20 to 30 minute task and watch for 429, 5xx, timeouts, truncation, unavailable models, and latency spikes.

For high-frequency OpenAI/Codex usage, keep one primary relay and one backup relay.

Candidates

YunDou: 100% availability, 1995 ms average latency, current status up.

lingxicode: 99.4% availability, 2246 ms average latency, current status up.

SudoCode: 99.2% availability, 2235 ms average latency, current status up.

infai: 99.2% availability, 2311 ms average latency, current status up.

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