API relay reliability checks

A repeatable relay acceptance flow: fix the request first, then inspect time to first byte, stream completion, error classes, and retry boundaries.

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9 articles
  1. How to evaluate an AI relay for software engineeringChecks for code generation, agent tool chains, long context, and cache protocol behavior when a relay sits in a software-engineering workflow.
  2. Stop trusting a 99% uptime claim: the AI API relay failures we hit, and how we test stabilityStarting from fake 200s, truncated streams, and nighttime stalls, this is how the stability metrics and tests that actually decide production experience are defined.
  3. From translationese to a felt native voice: three years of Chinese writing with AI, and with API relaysA Chinese writer’s three-year record of using models, and of bringing those models into a daily writing flow through an API relay.
  4. The gray-market ghost in model relays: founders burned by a 10% APIAnonymous cases about model swapping, billing traps, context truncation, and data risk behind very cheap relays.

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