Architecting Conversational Data Systems for Stateless LLM APIs: The Hydration Proxy Pattern

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Researchers have formalized the 'Hydration Proxy Pattern' to solve the issue of LLMs being inherently stateless. Instead of forcing the model to remember everything, this architecture decouples session memory from the reasoning engine, allowing enterprises to manage context and KV caching without losing data sovereignty. It basically provides a standardized way to feed a model the right 'history' at the right time.