[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>
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apps/flowise/config.json
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apps/flowise/config.json
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{
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"$schema": "../schema.json",
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"name": "Flowise AI",
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"available": true,
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"exposable": true,
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"port": 8009,
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"id": "flowise",
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"tipi_version": 1,
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"version": "1.4.10",
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"categories": ["ai", "automation"],
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"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.",
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"short_desc": "Build LLM Apps Easily",
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"author": "flowise.ai",
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"source": "https://github.com/FlowiseAI/Flowise",
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"website": "https://flowiseai.com/",
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"form_fields": [
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{
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"type": "text",
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"label": "Flowise Username",
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"max": 50,
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"min": 3,
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"required": true,
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"env_variable": "FLOWISE_USERNAME"
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},
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{
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"type": "password",
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"label": "Flowise Password",
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"max": 50,
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"min": 12,
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"required": true,
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"env_variable": "FLOWISE_PASSWORD"
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},
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{
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"type": "random",
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"label": "Flowise Secret",
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"min": 16,
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"env_variable": "FLOWISE_SECRETKEY_OVERWRITE"
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},
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{
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"type": "url",
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"label": "(Optional) Langchain Endpoint",
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"hint": "URL of your langhchain endpoint",
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"required": false,
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"env_variable": "LANGCHAIN_ENDPOINT"
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},
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{
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"type": "password",
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"label": "(Optional) Langchain API Key",
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"max": 50,
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"min": 3,
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"required": false,
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"env_variable": "LANGCHAIN_API_KEY"
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},
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{
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"type": "text",
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"label": "(Optional) Langchain Project",
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"max": 50,
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"min": 3,
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"required": false,
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"env_variable": "LANGCHAIN_PROJECT"
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},
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{
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"type": "boolean",
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"label": "Enable Langchain Tracing v2",
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"required": false,
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"env_variable": "LANGCHAIN_TRACING_V2"
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},
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{
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"type": "boolean",
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"label": "Disable Flowise telemetry",
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"required": false,
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"env_variable": "DISABLE_FLOWISE_TELEMETRY"
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}
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],
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"supported_architectures": ["arm64", "amd64"]
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}
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53
apps/flowise/docker-compose.yml
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apps/flowise/docker-compose.yml
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version: '3.7'
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services:
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flowise:
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image: flowiseai/flowise:1.4.10
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restart: unless-stopped
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command: /bin/sh -c "sleep 3; flowise start"
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container_name: flowise
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environment:
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- PORT=8009
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- FLOWISE_USERNAME=${FLOWISE_USERNAME}
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- FLOWISE_PASSWORD=${FLOWISE_PASSWORD}
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- FLOWISE_SECRETKEY_OVERWRITE=${FLOWISE_SECRETKEY_OVERWRITE}
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- LANGCHAIN_ENDPOINT=${LANGCHAIN_ENDPOINT}
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- LANGCHAIN_API_KEY=${LANGCHAIN_API_KEY}
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- LANGCHAIN_PROJECT=${LANGCHAIN_PROJECT}
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- LANGCHAIN_TRACING_V2=${LANGCHAIN_TRACING_V2}
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- DISABLE_FLOWISE_TELEMETRY=${DISABLE_FLOWISE_TELEMETRY}
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- DATABASE_PATH=/root/.flowise
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- APIKEY_PATH=/root/.flowise
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- SECRETKEY_PATH=/root/.flowise/logs
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- LOG_PATH=/root/.flowise
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ports:
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- "${APP_PORT}:8009"
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volumes:
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- ${APP_DATA_DIR}/data/flowise:/root/.flowise
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networks:
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- tipi_main_network
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labels:
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# Main
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traefik.enable: true
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traefik.http.middlewares.flowise-web-redirect.redirectscheme.scheme: https
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traefik.http.services.flowise.loadbalancer.server.port: 8009
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# Web
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traefik.http.routers.flowise-insecure.rule: Host(`${APP_DOMAIN}`)
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traefik.http.routers.flowise-insecure.entrypoints: web
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traefik.http.routers.flowise-insecure.service: flowise
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traefik.http.routers.flowise-insecure.middlewares: flowise-web-redirect
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# Websecure
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traefik.http.routers.flowise.rule: Host(`${APP_DOMAIN}`)
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traefik.http.routers.flowise.entrypoints: websecure
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traefik.http.routers.flowise.service: flowise
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traefik.http.routers.flowise.tls.certresolver: myresolver
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# Local domain
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traefik.http.routers.flowise-local-insecure.rule: Host(`flowise.${LOCAL_DOMAIN}`)
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traefik.http.routers.flowise-local-insecure.entrypoints: web
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traefik.http.routers.flowise-local-insecure.service: flowise
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traefik.http.routers.flowise-local-insecure.middlewares: flowise-web-redirect
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# Local domain secure
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traefik.http.routers.flowise-local.rule: Host(`flowise.${LOCAL_DOMAIN}`)
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traefik.http.routers.flowise-local.entrypoints: websecure
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traefik.http.routers.flowise-local.service: flowise
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traefik.http.routers.flowise-local.tls: true
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50
apps/flowise/metadata/description.md
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apps/flowise/metadata/description.md
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# Flowise - Build LLM Apps Easily
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[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.
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---
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---
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## ⭐ Features
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Developing LLM apps takes countless iterations. With low code approach, we enable quick iterations to go from testing to production
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### LLM Ochestration
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Connect LLMs with memory, data loaders, cache, moderation and many more
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- Langchain
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- LlamaIndex
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- 100+ integrations
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---
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### Agents & Assistants
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Create an autonomous agent that can use tools to execute different tasks
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- Custom Tools
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- OpenAI Assistant
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- Function Agent
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---
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### API, SDK, Embed
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Extend and integrate to your applications using APIs, SDK and Embedded Chat
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- APIs
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- Embedded Widget
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- React SDK
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---
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### Open source LLMs
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Run in an air-gapped environment with local LLMs, embeddings, and vector databases
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- HuggingFace, Ollama, LocalAI, Replicate
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- Llama2, Mistral, Vicuna, Orca, Llava
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- Self host on AWS, Azure, GCP
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---
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### 📖 Website & Docs
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[Flowise Docs](https://docs.flowiseai.com/)
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[Website](https://flowiseai.com/)
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apps/flowise/metadata/logo.jpg
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apps/flowise/metadata/logo.jpg
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