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guidesApril 15, 2026· 5 min read

How to cache Rig (Rust) LLM calls with Crowkis

Add a semantic cache to Rig (Rust) so repeated and reworded questions are served for free, no rewrite, self-hosted.

The cheapest token is the one you never spend twice. If you build with Rig (Rust), most of that repetition is invisible in your code but very visible on your bill. A semantic cache in front of your model calls fixes it.

The lowest-friction path is the OpenAI-compatible gateway: point Rig (Rust)'s base URL at Crowkis and every model call flows through a semantic cache. Repeated and reworded prompts are served from cache with no upstream call; new ones pass through and get cached.

Rig (Rust) + Crowkis gateway
# point Rig (Rust) at the Crowkis gateway
base_url = "http://127.0.0.1:6380/v1"   # semantic cache in front of your provider
In plain words: You don't restructure your Rig (Rust) app. You change where the calls go, and repeats stop costing money.

On repetitive workloads this cuts LLM costs up to 60-70% on repetitive workloads, and every hit comes back with a confidence score so reuse stays safe. Community edition ships at full power, free to run.