[App] Flowise AI (#2290)

* Add Flowise app

* Update apps/flowise/metadata/description.md

Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>

* Update apps/flowise/metadata/description.md

Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>

* Update apps/flowise/metadata/description.md

Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>

* update after review

* update config.json

* fix(flowise): remove unused config

* fix(flowise): remove required from random

---------

Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
Co-authored-by: Stavros <steveiliop56@gmail.com>

apps/flowise/config.json

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+{
+  "$schema": "../schema.json",
+  "name": "Flowise AI",
+  "available": true,
+  "exposable": true,
+  "port": 8009,
+  "id": "flowise",
+  "tipi_version": 1,
+  "version": "1.4.10",
+  "categories": ["ai", "automation"],
+  "description": "Flowise AI is an Open source UI visual tool to build your customized LLM ochestration flow & AI agents. Developing LLM apps takes countless iterations. With low code approach, Flowise AI enable quick iterations to go from testing to production.",
+  "short_desc": "Build LLM Apps Easily",
+  "author": "flowise.ai",
+  "source": "https://github.com/FlowiseAI/Flowise",
+  "website": "https://flowiseai.com/",
+  "form_fields": [
+    {
+      "type": "text",
+      "label": "Flowise Username",
+      "max": 50,
+      "min": 3,
+      "required": true,
+      "env_variable": "FLOWISE_USERNAME"
+    },
+    {
+      "type": "password",
+      "label": "Flowise Password",
+      "max": 50,
+      "min": 12,
+      "required": true,
+      "env_variable": "FLOWISE_PASSWORD"
+    },
+    {
+      "type": "random",
+      "label": "Flowise Secret",
+      "min": 16,
+      "env_variable": "FLOWISE_SECRETKEY_OVERWRITE"
+    },
+    {
+      "type": "url",
+      "label": "(Optional) Langchain Endpoint",
+      "hint": "URL of your langhchain endpoint",
+      "required": false,
+      "env_variable": "LANGCHAIN_ENDPOINT"
+    },
+    {
+      "type": "password",
+      "label": "(Optional) Langchain API Key",
+      "max": 50,
+      "min": 3,
+      "required": false,
+      "env_variable": "LANGCHAIN_API_KEY"
+    },
+    {
+      "type": "text",
+      "label": "(Optional) Langchain Project",
+      "max": 50,
+      "min": 3,
+      "required": false,
+      "env_variable": "LANGCHAIN_PROJECT"
+    },
+    {
+      "type": "boolean",
+      "label": "Enable Langchain Tracing v2",
+      "required": false,
+      "env_variable": "LANGCHAIN_TRACING_V2"
+    },
+    {
+      "type": "boolean",
+      "label": "Disable Flowise telemetry",
+      "required": false,
+      "env_variable": "DISABLE_FLOWISE_TELEMETRY"
+    }
+  ],
+  "supported_architectures": ["arm64", "amd64"]
+}

apps/flowise/docker-compose.yml

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+version: '3.7'
+
+services:
+    flowise:
+        image: flowiseai/flowise:1.4.10
+        restart: unless-stopped
+        command: /bin/sh -c "sleep 3; flowise start"
+        container_name: flowise
+        environment:
+            - PORT=8009
+            - FLOWISE_USERNAME=${FLOWISE_USERNAME}
+            - FLOWISE_PASSWORD=${FLOWISE_PASSWORD}
+            - FLOWISE_SECRETKEY_OVERWRITE=${FLOWISE_SECRETKEY_OVERWRITE}
+            - LANGCHAIN_ENDPOINT=${LANGCHAIN_ENDPOINT}
+            - LANGCHAIN_API_KEY=${LANGCHAIN_API_KEY}
+            - LANGCHAIN_PROJECT=${LANGCHAIN_PROJECT}
+            - LANGCHAIN_TRACING_V2=${LANGCHAIN_TRACING_V2}
+            - DISABLE_FLOWISE_TELEMETRY=${DISABLE_FLOWISE_TELEMETRY}
+            - DATABASE_PATH=/root/.flowise
+            - APIKEY_PATH=/root/.flowise
+            - SECRETKEY_PATH=/root/.flowise/logs
+            - LOG_PATH=/root/.flowise
+        ports:
+            - "${APP_PORT}:8009"
+        volumes:
+            - ${APP_DATA_DIR}/data/flowise:/root/.flowise
+        networks:
+            - tipi_main_network
+        labels:
+            # Main
+            traefik.enable: true
+            traefik.http.middlewares.flowise-web-redirect.redirectscheme.scheme: https
+            traefik.http.services.flowise.loadbalancer.server.port: 8009
+            # Web
+            traefik.http.routers.flowise-insecure.rule: Host(`${APP_DOMAIN}`)
+            traefik.http.routers.flowise-insecure.entrypoints: web
+            traefik.http.routers.flowise-insecure.service: flowise
+            traefik.http.routers.flowise-insecure.middlewares: flowise-web-redirect
+            # Websecure
+            traefik.http.routers.flowise.rule: Host(`${APP_DOMAIN}`)
+            traefik.http.routers.flowise.entrypoints: websecure
+            traefik.http.routers.flowise.service: flowise
+            traefik.http.routers.flowise.tls.certresolver: myresolver
+            # Local domain
+            traefik.http.routers.flowise-local-insecure.rule: Host(`flowise.${LOCAL_DOMAIN}`)
+            traefik.http.routers.flowise-local-insecure.entrypoints: web
+            traefik.http.routers.flowise-local-insecure.service: flowise
+            traefik.http.routers.flowise-local-insecure.middlewares: flowise-web-redirect
+            # Local domain secure
+            traefik.http.routers.flowise-local.rule: Host(`flowise.${LOCAL_DOMAIN}`)
+            traefik.http.routers.flowise-local.entrypoints: websecure
+            traefik.http.routers.flowise-local.service: flowise
+            traefik.http.routers.flowise-local.tls: true

apps/flowise/metadata/description.md

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+# Flowise - Build LLM Apps Easily
+
+[Flowise AI](https://github.com/FlowiseAI/Flowise) is an Open source UI visual tool to build your customized LLM orchestration flow & AI agents. Developing LLM apps takes countless iterations. With low code approach, Flowise AI enable quick iterations to go from testing to production.
+
+---
+
+![](https://github.com/FlowiseAI/Flowise/blob/main/images/flowise.png?raw=true)
+
+![](https://github.com/FlowiseAI/Flowise/blob/main/images/flowise.gif?raw=true)
+
+---
+
+## ⭐ Features
+Developing LLM apps takes countless iterations. With low code approach, we enable quick iterations to go from testing to production
+
+### LLM Ochestration
+Connect LLMs with memory, data loaders, cache, moderation and many more
+- Langchain
+- LlamaIndex
+- 100+ integrations
+
+---
+
+### Agents & Assistants
+Create an autonomous agent that can use tools to execute different tasks
+- Custom Tools
+- OpenAI Assistant
+- Function Agent
+
+---
+
+### API, SDK, Embed
+Extend and integrate to your applications using APIs, SDK and Embedded Chat
+- APIs
+- Embedded Widget
+- React SDK
+
+---
+
+### Open source LLMs
+Run in an air-gapped environment with local LLMs, embeddings, and vector databases
+- HuggingFace, Ollama, LocalAI, Replicate
+- Llama2, Mistral, Vicuna, Orca, Llava
+- Self host on AWS, Azure, GCP
+
+---
+
+### 📖 Website & Docs
+[Flowise Docs](https://docs.flowiseai.com/)
+[Website](https://flowiseai.com/)