Install AI Gateway
The Levo AI Gateway is a proxy that sits between your applications and LLM providers (OpenAI, Anthropic, etc.). It gives you full observability into AI traffic and lets you enforce guardrails — blocking prompt injection, PII leakage, toxic content, and more — without any changes to your application code.
Routes, backends, and guardrail policies are configured in the Levo dashboard and automatically applied to the gateway.
1. Prerequisites
Before installing the Levo AI Gateway, ensure you have:
- Network connectivity from your host to the Levo SaaS API
Without guardrails:
- CPU: At least 2 cores
- RAM: At least 1 GB
With guardrails (ML models):
- CPU: At least 4 cores
- RAM: At least 8 GB
- Storage: At least 15 GB (~6.3 GB of ML models, plus images and headroom)
2. Retrieve Your Authorization Key
Refer to Generate a CLI Authorization Key for instructions.
3. Retrieve Your Environment ID
Your Environment ID is not yet available in the Levo dashboard. Please contact support@levo.ai to obtain it.
4. Follow instructions for your platform
- Install on Kubernetes
- Install via Docker (standalone or Swarm)
- Install as a Kubernetes Sidecar
- Front Cursor with the AI Gateway (public ingress, private LiteLLM)
5. Configure Guardrails
Installing the gateway gives you observability. Enforcement comes from the policies you configure on top of it.
AI Guardrails covers what the scanners detect, how a policy is expressed, and how to operate them — including the one configuration mistake that makes a fully configured deployment scan nothing.