Building scalable, agent-friendly APIs for AI applications
The New Stack Nacho Martínez ● Covered by 2 sources
An article explains how a minimal OpenAI-compatible agent API can silently break context when scaled across replicas without moving conversation state out of the process. In a POC benchmark with 200 conversations of four turns each, deploying the monolithic endpoint on 3 machines produced a 75.0% loss rate. It recommends redesigning the API around stateless conversation storage and bulkheads, splitting chat and tool execution into separate services and using a shared database substrate to keep context consistent across replicas.
Why it matters
Nowadays, most of us interact with frontier AI models in a structured way, even if we do not always think The post Building scalable, agent-friendly APIs for AI applications appeared first on The New Stack.