docs.railguard.ai

Railguard Gateway Documentation

The only AI Gateway that enforces compliance at the infrastructure layer. Deploy in minutes via Helm, Terraform, or Docker.

Quick Start

This guide will help you deploy a production-ready Railguard Gateway instance into your Kubernetes cluster in under 5 minutes.

1Add the Railguard Helm Repository

$helm repo add railguard https://charts.railguard.ai
$helm repo update

2Configure API Secrets

Create a Kubernetes secret for your LLM provider keys.

# secrets.yamlapiVersion: v1kind: Secretmetadata:name: railguard-secretsstringData:OPENAI_API_KEY: "sk-..."
$kubectl apply -f secrets.yaml

3Install the Gateway

Deploy the gateway referencing your secrets.

$helm install railguard railguard/gateway \
--set secrets.existingSecret=railguard-secrets \
--namespace railguard-system --create-namespace

4Verify Installation

$kubectl get pods -n railguard-system
NAME READY STATUS RESTARTS AGE
railguard-gateway-5f7b4c9d8-xk2l9 1/1 Running 0 25s

Next Steps

Configure Guardrails

Learn how to define PII redaction and topic policies using YAML.

Connect LLM Providers

Set up API keys for OpenAI, Anthropic, and custom models.

Railguard AI - Sovereign AI Infrastructure