Normalize
Reject or adjust incompatible input before it hits a provider.
The hard parts, written down.
Image API engineering guides
Fallback routing, dimension rules, and cost modeling — the operational edges that burn money or reputation when you pretend they are trivia.
01
image API fallback routing
02Fallback routing that doesn’t invent a policy loophole
Build image API failover that retries timeouts and rate limits — and refuses to bypass safety rejections or invalid requests by hopping to another vendor.
Read the guide →AI image API cost calculator
03Cost math for AI images that survive a finance review
Model AI image API cost around blended fast and premium mix plus accepted assets — not a teaser unit price that forgets discarded drafts and retries.
Read the guide →AI image dimensions multiples of 64
Multiples of 64: the boring rule that keeps model fleets aligned
Why AI image APIs want multiples of 64 — and how RenderRoute normalizes width and height across a routed model fleet without silent crop chaos in production.
Read the guide →How to use these guides
Resolve edge cases once — at the API boundary.
Dimensions, failover, cost, safety, and idempotency look like trivia until they double-bill or fail customers. Encode each as a rule and return enough metadata to explain what happened.
Classify
Separate temporary infra failure from permanent policy failure.
Reconcile
Compare estimated usage with provider and invoice reality.
From guide to request