feat(flowise): add Flowise blueprint with Docker Compose and template configuration (#354)

- Added Flowise metadata to meta.json with relevant details including ID, name, version, description, logo, links, and tags.
- Created Docker Compose file for Flowise, defining services for Redis and Flowise, including health checks and environment variables.
- Added image for Flowise logo.
- Created template.toml for Flowise configuration, specifying variables, domains, environment variables, and mounts.

blueprints/flowise/docker-compose.yml

@@ -0,0 +1,56 @@
+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:

blueprints/flowise/template.toml

@@ -0,0 +1,24 @@
+[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"

meta.json

@@ -1986,6 +1986,24 @@
       "ddos-guard"
     ]
   },
+  {
+    "id": "flowise",
+    "name": "Flowise",
+    "version": "latest",
+    "description": "Flowise is an open-source UI visual tool to build and run LLM-powered applications.",
+    "logo": "image.png",
+    "links": {
+      "github": "https://github.com/FlowiseAI/Flowise",
+      "website": "https://flowiseai.com/",
+      "docs": "https://docs.flowiseai.com/"
+    },
+    "tags": [
+      "AI",
+      "LLM",
+      "workflow",
+      "automation"
+    ]
+  },
   {
     "id": "focalboard",
     "name": "Focalboard",