Stop Paying for the Same Prompt: Optimize AI Costs With Redis on Red Hat OpenShift
Red Hat, Tuesday, August 18th, 2026
Red Hat shows how semantic caching with Redis on OpenShift cuts LLM API spend on repetitive and irrelevant queries.
Red Hat addresses how large language model API costs accumulate, with a promising chatbot prototype turning into an invoice problem as users consume tokens unpredictably.
A significant portion of those costs comes from repetitive queries, since users ask the same questions phrased slightly differently.
Another hidden cost comes from questions irrelevant to the application or business, or that are abusive.
Traditional caching does not help because the wording differs each time. The post shows how semantic caching with Redis on Red Hat OpenShift catches those repeats and cuts spend.