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

This story is from 2026-09-03. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.01834v1 Announce Type: new Abstract: As enterprise platforms transition to conversational reasoning interfaces, the stateless nature of LLM APIs creates an architectural gap. While statelessness enables horizontal scalability for AI providers, it forces client applications to manage the…

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  1. 2026-09-03 04:00 · arXiv cs.AI
    Architecting Conversational Data Systems for Stateless LLM APIs: The Hydration Proxy Pattern

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