Cache n8n in your coding assistant with Crowkis
Building coding assistants on n8n? Add a semantic cache so the same explanations and boilerplate reasoning, dozens of times a day stop costing full price.
Coding assistants built on n8n share one problem: the same explanations and boilerplate reasoning, dozens of times a day. Each repeat is a full-price n8n call for an answer you already have.
Put a semantic cache in front. Point n8n'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 coding 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. It's one self-hosted binary, Redis-compatible, free to run.