Google has rolled out middleware architecture support for Genkit, its open-source AI application framework. The addition enables developers to build composable request/response handlers across LLM calls, reducing boilerplate in agent and multi-step reasoning pipelines.
Middleware patterns allow teams to inject logging, caching, rate-limiting, and custom instrumentation into model inference without modifying core application logic. For enterprises standardizing on Genkit, this approach mirrors familiar web-framework patterns and lowers the barrier to production observability in agentic AI workloads.