Helm chart for LangDB Ai Gateway

This guide explains how to set up the ai-gateway enterprise service using example stacks. The ai-gateway service provides a scalable, production-ready API gateway for AI and data workloads, supporting integration with Postgres, Redis, and ClickHouse.

1. Clone the repository

git clone [email protected]:langdb/helm-chart.git
cd helm-chart

2. Deploy using Helm

cd helm/ai-gateway
helm install ai-gateway . 

This will deploy:

• ai-gateway (using the default image)
• uses External Postgres, Redis, and ClickHouse

1. Update values.yaml:

env:
  CLICKHOUSE_HOST: <external-clickhouse-host>
  REDIS_HOST: <external-redis-host>
  POSTGRES_HOST: <external-postgres-host>
  POSTGRES_USER: <your-user>
  POSTGRES_PASSWORD: <your-password>
  POSTGRES_DB: <your-db>
config: |
  # ai-gateway configuration
  http:
    host: "0.0.0.0"
    port: 8080

This will automatically mount your config.yaml into the container at /app/config.yaml and the ai-gateway will use it on startup.

Access ai-gateway

Visit: http://localhost:8080

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Accessing the Service (Kubernetes)

By default, the service is exposed as a ClusterIP. To access it externally, you can port-forward:

kubectl port-forward svc/ai-gateway 8080:80

Then access the gateway at http://localhost:8080.

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Example Commands

Install dependencies (if needed)

helm dependency update

Uninstall

helm uninstall ai-gateway

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