What is VectorAxis?
VectorAxis is an AI gateway and control plane that sits between your application and every LLM provider. It gives your team one endpoint, unified credentials, intelligent routing, caching, guardrails, and deep observability — without changing how you write AI code. Point your OpenAI SDK at it and every feature is one header away.
As soon as a team ships more than a toy AI feature, the same pains show up: provider API keys scattered across services, no idea what any of it costs, an outage on one provider taking the product down, no way to enforce a budget, and no record of what was sent or returned. VectorAxis puts a single, governed layer in front of all of it — so those become configuration, not engineering projects.
- For engineers: one base URL, the OpenAI wire format everywhere, and per-request control over routing, caching, retries, and guardrails via headers.
- For the business: real-time cost visibility, hard spend caps, provider redundancy, and an audit trail — the controls needed to run AI in production safely.
Your app sends a normal OpenAI-format request to VectorAxis with a virtual key in place of a provider secret. VectorAxis resolves the real credential, applies whatever policies you’ve configured — routing, cache lookup, guardrails, retry/fallback — calls the provider (translating to its wire format when needed), and returns an OpenAI-format response. Along the way it records the request’s tokens, cost, and latency. Nothing proprietary goes in the request body; every capability is a header.