This is dev‑time exact replay, not semantic caching. In early development, a lot of iteration seems to be about validating the flow rather than the quality of the model’s response.

Semantic caching feels more relevant later on, when reuse across similar inputs starts to matter. In dev-time context, an exact cache is often good enough. So that's what we looked to solve with Agent Cache.

I’m curious what's your experience with repeated llm calls during dev.