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What is Opsta AI Gateway
Opsta AI Gateway is an enterprise control point for all of your organization's AI traffic. Every large language model (LLM) request and every AI-agent (MCP) tool call passes through one governed gateway that runs entirely in your own environment — so you control the cost, the access, and the risk, and your data never leaves your infrastructure.
Why a gateway
As teams adopt AI, two problems appear at once:
- AI becomes a budget line. Every team calls LLMs directly, with no caps and no attribution. The monthly bill is a surprise, and no one owns it.
- AI becomes a risk surface. There's no control over who uses which model, no masking of sensitive data, no guardrails against prompt injection, and no audit trail of what was sent — often through a third-party cloud you don't control.
Opsta AI Gateway puts a single, governed control point in front of all of it.
What it gives you
- Control the cost — hierarchical USD budgets (organization → project → group → user), per-minute token limits, and semantic caching that cuts spend. See Budgets & limits.
- Govern access & safety — API-key authentication, role-based access control, PII masking, prompt-injection guardrails, and a full audit log.
- Govern AI agents — register and govern remote MCP servers so your agents' tool traffic is authenticated, isolated per project, and observed — the same controls as your LLM traffic.
- Keep it yours — self-hosted and air-gap installable. The data plane runs in your cluster; sensitive prompts and data never leave your environment. See Data sovereignty.
- Built for many teams — true multi-tenancy: one platform serves many organizations, projects, groups, and users, each with isolated config, budgets, and dashboards.
Who it's for
- Developers consume the gateway like any OpenAI-compatible endpoint — see the User Guide.
- Organization & platform administrators configure providers, budgets, guardrails, MCP, and SSO from the web console — see the Administrator Guide.
- Platform engineers install, secure, scale, and operate it on Kubernetes — see Deploy & Operate.
It fits internal AI platforms, multi–business-unit enterprises, and organizations with strict data-sovereignty or regulatory requirements.
Self-managed or fully managed
Run Opsta AI Gateway yourself, or have Opsta deploy, run, and support it for you as a managed service with 24×7 monitoring and a banking-grade SLA.
Next steps
- Key concepts & glossary — the vocabulary used throughout these docs.
- Architecture — how the pieces fit together.
- Request lifecycle — what happens to a request as it passes through.