Reduce LLM Costs with Semantic Caching: The Gateway Approach
TL;DR: LLM API costs scale linearly with request volume. Applications with repeated or semantically similar queries pay for inference on every call, even when responses would be effectively identical. Semantic caching at the gateway intercepts requests before they reach a provider and returns a cached response for queries close
