Stale-while-revalidate (CSTALE): how it works and when to use it
Stale-while-revalidate (CSTALE), returns a cached answer past its TTL with a stale flag, so expiry is a snappy answer plus a refresh signal, not a cold miss. Here's how Crowkis does it and why it matters for cost and safety.
Production LLM traffic is deeply repetitive, and repetition is exactly what a bill is made of. Stale-while-revalidate (CSTALE) is how Crowkis returns a cached answer past its TTL with a stale flag, so expiry is a snappy answer plus a refresh signal, not a cold miss.
How it works
Crowkis returns a cached answer past its TTL with a stale flag, so expiry is a snappy answer plus a refresh signal, not a cold miss. It runs inside one Redis-compatible engine, so it composes with semantic caching, agent memory, and the other intelligence layers instead of being a separate service you wire together.
CSTALE "today's summary"
Why it matters
Repetitive LLM workloads are where the money is, and semantic caching can cut costs up to 60-70% on repetitive workloads. Stale-while-revalidate (CSTALE) is part of what makes that reuse safe rather than reckless, the difference between a cache you trust in production and one you audit after every incident. Drop it in over RESP, gRPC, REST, or MCP, no rewrite required.
Infrastructure earns the critical path one boring, verifiable feature at a time.