AI Middleware Architecture: The Control Layer Production LLM Apps Need Now

AI Middleware Architecture Your AI app probably does not need one clever prompt tweak. It needs a place where model calls, tool calls, retries, approvals, traces, cache hits, and policies can be intercepted before damage spreads. For the last two years, many teams treated LLM integration as a direct line from product code to a model API. The first version was simple: call a model, parse a response, ship. Then the feature needed tools, retrieval, streaming, retries, fallback, logging, cost reports, and SQL safeguards. The timing matters.