The easiest and quickest way to run AI Studio is via docker-compose.
1

Create `docker-compose.yml`

docker-compose.yml
  version: '3.8'

  services:
    postgres:
      image: postgres:13
      environment:
        - POSTGRES_DB=aistudio
        - POSTGRES_USER=aistudio
        - POSTGRES_HOST_AUTH_METHOD=trust
      volumes:
        - postgres:/var/lib/postgresql/data
      ports:
        - 5432:5432
      healthcheck:
        test: [ "CMD-SHELL", "pg_isready -U aistudio" ]
        interval: 30s
        timeout: 30s
        retries: 3
      restart: always

    redis:
      image: redis:7.2-alpine
      ports:
        - 6379:6379
      command: redis-server --save 20 1 --loglevel warning
      volumes:
        - redis:/data
      healthcheck:
        test: ["CMD", "redis-cli", "ping"]
        interval: 1s
        timeout: 3s
        retries: 30
      restart: always

    clickhouse:
      image: clickhouse/clickhouse-server:24.1.5
      volumes:
        - clickhouse:/var/lib/clickhouse
      ports:
        - 9000:9000
        - 8123:8123
      restart: always

    migrate:
      image: missingstudio/ai:dev
      command: ["migrate"]
      environment:
        - GATEWAY_POSTGRES_URL=postgres://aistudio@postgres:5432/aistudio?sslmode=disable
      depends_on:
        - postgres

    aistudio:
      image: missingstudio/ai:dev
      environment:
        - GATEWAY_APP_HOST=0.0.0.0
        - GATEWAY_APP_PORT=8080
        - GATEWAY_REDIS_HOST=redis
        - GATEWAY_REDIS_PORT=6379
        - GATEWAY_POSTGRES_URL=postgres://aistudio@postgres:5432/aistudio?sslmode=disable
      command: ["start"]
      ports:
        - 8080:8080
      depends_on:
        - redis
        - postgres
        - clickhouse
        - migrate

  volumes:
    redis: {}
    postgres: {}
    clickhouse: {}
2

Start Docker Compose

   docker-compose up -d
You’re geared up and ready to go! 🚀 Following these steps should have you AI studio up and running to power up LLMOps for your LLM appplications. If you have any questions or need support, reach out to our Discord Community.

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Other options

Command Line Interface (CLI)

Install AI Studio locally into your developer machine or bare metal setup via CLI (MacOS, Linux)

Kubernetes (coming soon)

Install AI Studio into a Kubernetes cluster using helm chart