What to Monitor in a Multi-Model AI API Gateway
When an AI product starts getting real users, the first question changes. It is no longer only: "Can I call the model?" It becomes: "Can I understand what happens when the model is slow, expensive, unavailable, or producing weak output?" That is why observability matters for AI API integrations. The minimum metrics to track For an OpenAI-compatible API gateway, I would start with a small set of fields for every request: feature name model name success or error status latency pro...
Original Source
Read the full article at Dev →KhanList aggregates and links to publicly available news content. We do not host full articles from third-party sources. Always verify important information with original sources.