Dokploy

Flowise

Flowise is an open-source UI visual tool to build and run LLM-powered applications.

Flowise logo

Configuration

version: "3.8"

services:
  redis:
    image: redis:alpine
    restart: always
    volumes:
      - redis_data:/data

  flowise:
    image: flowiseai/flowise:latest
    restart: always
    expose:
      - 3000
    volumes:
      - flowise_data:/root/.flowise
    environment:
      PORT: 3000
      DATABASE_PATH: /root/.flowise
      REDIS_URL: redis://redis:6379
      JWT_AUTH_TOKEN_SECRET: ${JWT_AUTH_TOKEN_SECRET}
      JWT_REFRESH_TOKEN_SECRET: ${JWT_REFRESH_TOKEN_SECRET}
      EXPRESS_SESSION_SECRET: ${EXPRESS_SESSION_SECRET}
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:3000/api/v1/ping"]
      interval: 10s
      timeout: 5s
      retries: 5
      start_period: 30s
    entrypoint: /bin/sh -c "sleep 3; flowise start"
    depends_on:
      - redis

  flowise-worker:
    image: flowiseai/flowise-worker:latest
    restart: always
    volumes:
      - flowise_data:/root/.flowise
    environment:
      WORKER_PORT: 5566
      DATABASE_PATH: /root/.flowise
      REDIS_URL: redis://redis:6379
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:5566/healthz"]
      interval: 10s
      timeout: 5s
      retries: 5
      start_period: 30s
    entrypoint: /bin/sh -c "node /app/healthcheck/healthcheck.js & sleep 5 && pnpm run start-worker"
    depends_on:
      - redis
      - flowise

volumes:
  redis_data:
  flowise_data:
[variables]
main_domain = "${domain}"
jwt_secret = "${password:32}"
jwt_refresh_secret = "${password:32}"
express_secret = "${password:32}"

[config]
[[config.domains]]
serviceName = "flowise"
port = 3000
host = "${main_domain}"

[config.env]
JWT_AUTH_TOKEN_SECRET = "${jwt_secret}"
JWT_REFRESH_TOKEN_SECRET = "${jwt_refresh_secret}"
EXPRESS_SESSION_SECRET = "${express_secret}"

[[config.mounts]]
name = "flowise_data"
mountPath = "/root/.flowise"

[[config.mounts]]
name = "redis_data"
mountPath = "/data"

Base64

To import this template in Dokploy: create a Compose service → AdvancedBase64 import and paste the content below:

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Tags

AI, LLM, workflow, automation


Version: latest

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