Gateways & LLM ops
Route every provider through one endpoint and see what it costs.
An LLM gateway is a proxy presenting one OpenAI-compatible endpoint in front of every provider you use, adding virtual keys, per-key budgets, fallbacks and a spend log. LiteLLM is the standard choice; Langfuse and Opik add tracing and evaluation.
Once more than one team is calling more than one provider, three problems appear on schedule: keys spread into places nobody tracks, spend cannot be attributed to a feature, and a provider outage takes everything with it. A gateway solves all three without touching application code, because the base URL never changes while what sits behind it does.
The observability half matters just as much when agents are involved. One user request can become dozens of model calls, and without traces the only debugging tool available is a guess. Running both yourself means the prompt log — often the most sensitive record a company has — stays on your instance.
Gateways & LLM ops we host
Three steps, no Docker knowledge required
Pick the app and the size
Choose memory and storage from the plan table. Every plan is a single-tenant instance with its own volume, its own configuration and its own admin account.
We deploy and harden it
TLS on your domain or ours, firewall, a version pinned to a reviewed release, nightly off-box backups and isolated secrets.
You log in and build
The admin account is yours. Add your API keys, invite your team, export your data whenever you want. Patching stays with us.
Straight answers
Does a gateway add latency?
Can I put local and commercial models behind one endpoint?
Is this a shared account or my own instance?
Do I have to know Docker?
What is included in the monthly price?
Can I move to a bigger plan later?
Put your AI stack on your own box
Pick an app, pick a size, and have it running today. Month to month, cancel whenever.