OpenAI-compatible AI gateway: how it works and when to use it
OpenAI-compatible AI gateway, proxies /v1/chat/completions with a semantic cache in front, so you point your client's base URL at Crowkis and change nothing else. Here's how Crowkis does it and why it matters for cost and safety.
Every reworded repeat of a question you've already answered is a full-price model call. OpenAI-compatible AI gateway is how Crowkis proxies /v1/chat/completions with a semantic cache in front, so you point your client's base URL at Crowkis and change nothing else.
How it works
Crowkis proxies /v1/chat/completions with a semantic cache in front, so you point your client's base URL at Crowkis and change nothing else. 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.
Why it matters
Repetitive LLM workloads are where the money is, and semantic caching can cut costs up to 60-70% on repetitive workloads. OpenAI-compatible AI gateway 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. Runs self-hosted with zero egress, nothing leaves your machine.
Infrastructure earns the critical path one boring, verifiable feature at a time.