AI Observability
What happens after an AI app ships: how tracing, cost attribution and latency metrics locate failures, and what a gateway product adds on top.
Once a call chain grows, failures are hard to pin to a single layer, the most common trouble after a generative app goes live. LangChain pushed tracing down to wrapped models and tool calls, while Portkey.ai folds routing, fallbacks, budget caps and end-to-end traces into one gateway. Latency, cost per call and quality signals became the new debugging metrics, and cost attribution now feeds capacity planning.
