How to evaluate an AI API gateway
A practical scorecard for testing compatibility, reliability, observability, and cost before routing production AI traffic through a gateway.
Read the guidePractical guides for AI API infrastructure.
Original, implementation-focused notes maintained by the APIMART team. No paywalled conclusions and no undisclosed rankings.
OpenAI-compatible API migration checklist
Move an existing OpenAI-style client to another API provider without treating base URL compatibility as the whole migration.
Read the guideLoad-test an AI API without fooling yourself
Design an authorized AI API load test that separates client overhead, provider latency, rate limits, and model task duration.
Read the guideDesign multi-provider AI routing for failure, not demos
A routing pattern for model aliases, provider health, fallback policy, and observability across multiple AI API providers.
Read the guidePlan AI API cost around accepted work
Estimate AI API spend using workload units, retry behavior, failed outputs, and product acceptance—not a single headline token price.
Read the guideBuild a reproducible AI image benchmark
Preserve prompts, parameters, original outputs, latency, retries, and review criteria so another team can reproduce an image-model comparison.
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