Cache the Vercel AI SDK in your data analysis agent with Crowkis
Building data analysis agents on the Vercel AI SDK? Add a semantic cache so repeated tool calls and the same analytical questions stop costing full price.
Data analysis agents built on the Vercel AI SDK share one problem: repeated tool calls and the same analytical questions. Each repeat is a full-price the Vercel AI SDK call for an answer you already have.
Put a semantic cache in front. Point the Vercel AI SDK's base URL at the Crowkis OpenAI-compatible gateway, or wrap the call in get-or-compute, and reworded repeats are served from cache, no rewrite of your data analysis agents logic.
base_url = "http://127.0.0.1:6380/v1" # Crowkis gateway, semantic cache in front
On repetitive traffic this cuts costs up to 60-70% on repetitive workloads, and every hit carries a confidence score so reuse stays safe. Runs self-hosted with zero egress, nothing leaves your machine.