AiR
The AI gateway you can verify.
Point an existing SDK at AiR, swap the key, and the code you already wrote keeps working — the same request shape, the same streaming behaviour, against any model AiR supports. From the first request it is metered and priced, so spend is answerable per key, per workspace and per project. Every error names its source — gateway, provider or client — with the upstream error intact rather than paraphrased, which is what makes an SLA on gateway errors mean anything. And the parts that record all of this are structurally unable to hold your prompts: the telemetry, audit chain and usage ledger are typed so content cannot enter them, with a CI test scanning every column of every table to keep it that way.
Status: AlphaCapabilities
- One API across providers — changing provider is a config change, not a sprint
- Errors attributed to gateway, provider or client, with the upstream error intact
- Metered from the first request — spend answerable per key, workspace and project
- Content-blind by type: telemetry, audit and usage records cannot hold prompt content
- Self-hosted runs the same build — audit, SIEM export, SSO and RBAC are never add-ons
- Single-digit-millisecond gateway overhead, published on every response so you can check it
One API. Whichever model.
AiR speaks the dialects your code already uses, so the same request reaches the model you point it at without a rewrite. Change provider and you change a string — not a sprint.
We are adding models steadily, and more land shortly. Which are enabled for you depends on availability and where each one is in testing — so if you need a specific model, ask and we will tell you where it stands.
- Claude
- ChatGPT
- Gemini
- Grok
- Llama
- Mistral
- Qwen
- Gemma
- Ollama
- NVIDIA NeMo
New providers added on request — talk to us about a custom routing target.
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your AI infrastructure?
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