LLM APIs like Claude feel snappy—until latency spikes hit your users. By caching prompt‑response pairs right at the edge, you can cut round‑trip time to milliseconds. This post shows you how to make that happen with CloudFront Functions and a Lambda origin.
Why Prompt Caching Matters for LLM‑Powered Apps
When a user types a question, your front‑end sends the text to an LLM (large language model) API, waits for the model to generate a reply, and then shows the answer. The user experience is dominated by two things:
Network latency – the time it takes for the request to travel from the user’s browser to the API endpoint and back.
Model compute time – how long the LLM needs to think.
