Cache LangGraph in your ecommerce assistant with Crowkis
Building ecommerce assistants on LangGraph? Add a semantic cache so the same product and policy questions across shoppers stop costing full price.
Ecommerce assistants built on LangGraph share one problem: the same product and policy questions across shoppers. Each repeat is a full-price LangGraph call for an answer you already have.
Put a semantic cache in front. Point LangGraph'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 ecommerce assistants 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. Drop it in over RESP, gRPC, REST, or MCP, no rewrite required.