From a0de0a2472a454f8bf2e7699687cf81ab3e5c7fb Mon Sep 17 00:00:00 2001 From: arch3rPro Date: Fri, 24 Oct 2025 11:06:22 +0800 Subject: [PATCH] feat: add app Langflow --- apps/langflow/1.6.5/data.yml | 11 ++++++ apps/langflow/1.6.5/docker-compose.yml | 43 ++++++++++++++++++++++++ apps/langflow/README.md | 35 +++++++++++++++++++ apps/langflow/README_en.md | 35 +++++++++++++++++++ apps/langflow/data.yml | 24 +++++++++++++ apps/langflow/latest/data.yml | 11 ++++++ apps/langflow/latest/docker-compose.yml | 43 ++++++++++++++++++++++++ apps/langflow/logo.png | Bin 0 -> 4034 bytes 8 files changed, 202 insertions(+) create mode 100644 apps/langflow/1.6.5/data.yml create mode 100644 apps/langflow/1.6.5/docker-compose.yml create mode 100644 apps/langflow/README.md create mode 100644 apps/langflow/README_en.md create mode 100644 apps/langflow/data.yml create mode 100644 apps/langflow/latest/data.yml create mode 100644 apps/langflow/latest/docker-compose.yml create mode 100644 apps/langflow/logo.png diff --git a/apps/langflow/1.6.5/data.yml b/apps/langflow/1.6.5/data.yml new file mode 100644 index 0000000..3508175 --- /dev/null +++ b/apps/langflow/1.6.5/data.yml @@ -0,0 +1,11 @@ +additionalProperties: + formFields: + - default: "8080" + envKey: PANEL_APP_PORT_HTTP + label: + en: Port + zh: 端口 + required: true + type: number + edit: true + rule: paramPort diff --git a/apps/langflow/1.6.5/docker-compose.yml b/apps/langflow/1.6.5/docker-compose.yml new file mode 100644 index 0000000..799b06d --- /dev/null +++ b/apps/langflow/1.6.5/docker-compose.yml @@ -0,0 +1,43 @@ +services: + langflow: + image: langflowai/langflow:1.6.5 # or another version tag on https://hub.docker.com/r/langflowai/langflow + container_name: ${CONTAINER_NAME} + pull_policy: always # set to 'always' when using 'latest' image + ports: + - "${PANEL_APP_PORT_HTTP}:7860" + depends_on: + - postgres + environment: + - LANGFLOW_DATABASE_URL=postgresql://langflow:langflow@postgres:5432/langflow + # This variable defines where the logs, file storage, monitor data and secret keys are stored. + - LANGFLOW_CONFIG_DIR=/app/langflow + volumes: + - ./data:/app/langflow + + networks: + - 1panel-network + labels: + createdBy: "Apps" + postgres: + image: postgres:16 + container_name: ${CONTAINER_NAME}-postgres + environment: + POSTGRES_USER: langflow + POSTGRES_PASSWORD: langflow + POSTGRES_DB: langflow + ports: + - "5432:5432" + volumes: + - langflow-postgres:/var/lib/postgresql/data + + networks: + - 1panel-network + labels: + createdBy: "Apps" +volumes: + langflow-postgres: + langflow-data: + +networks: + 1panel-network: + external: true \ No newline at end of file diff --git a/apps/langflow/README.md b/apps/langflow/README.md new file mode 100644 index 0000000..0ad6dfb --- /dev/null +++ b/apps/langflow/README.md @@ -0,0 +1,35 @@ +## 产品介绍 + +**Langflow** 是一个基于 LangChain 的可视化 UI 工具，使用 react-flow 设计，为用户提供了一种直观、简便的方式来实验和构建 AI 流程原型。通过拖拽式的界面，用户可以轻松创建复杂的语言模型工作流，无需编写复杂的代码。 + +## 主要功能 + +- **可视化流程构建**：Langflow 提供了直观的拖拽式界面，用户可以通过简单的拖拽操作来构建复杂的 AI 工作流。系统内置了丰富的组件库，包括各种 LangChain 组件、数据处理节点和输出节点，用户可以根据需要自由组合这些组件。 +- **实时预览与调试**：在构建流程的过程中，用户可以实时预览每个节点的输出结果，便于调试和优化工作流。系统提供了详细的日志信息，帮助用户快速定位和解决问题。 +- **多种数据源支持**：Langflow 支持连接多种数据源，包括文本文件、数据库、API 接口等。用户可以轻松地将外部数据集成到自己的 AI 工作流中。 +- **模板与分享**：系统提供了丰富的预置模板，用户可以基于这些模板快速开始自己的项目。同时，用户也可以将自己创建的流程保存为模板，与团队成员分享。 + +## 配置和使用说明 + +### 注意事项 + +在使用 Langflow 之前，请确保您的系统满足以下要求： +- 至少 1GB 的可用内存 +- 稳定的网络连接（用于访问外部 API） +- 现代浏览器（推荐使用 Chrome 或 Firefox） + +### 访问方式 + +安装完成后，您可以通过浏览器访问 Langflow 界面： +- 默认端口：7860 +- 访问地址：http://您的服务器IP:端口号 + +### 基本使用步骤 + +1. 打开浏览器，访问 Langflow 界面 +2. 在左侧组件面板中选择需要的组件 +3. 将组件拖拽到中央画布区域 +4. 通过连接线将各个组件连接起来 +5. 配置每个组件的参数 +6. 点击运行按钮测试您的工作流 +7. 根据输出结果调整和优化流程 diff --git a/apps/langflow/README_en.md b/apps/langflow/README_en.md new file mode 100644 index 0000000..a2d7b76 --- /dev/null +++ b/apps/langflow/README_en.md @@ -0,0 +1,35 @@ +## Introduction + +**Langflow** is a visual UI tool based on LangChain, designed with react-flow to provide users with an intuitive and convenient way to experiment and build AI workflow prototypes. Through a drag-and-drop interface, users can easily create complex language model workflows without writing complex code. + +## Features + +- **Visual Workflow Building**: Langflow provides an intuitive drag-and-drop interface that allows users to build complex AI workflows through simple drag-and-drop operations. The system includes a rich component library with various LangChain components, data processing nodes, and output nodes that users can freely combine according to their needs. +- **Real-time Preview and Debugging**: During the workflow building process, users can preview the output results of each node in real-time, facilitating debugging and optimization of workflows. The system provides detailed log information to help users quickly locate and resolve issues. +- **Multiple Data Source Support**: Langflow supports connections to various data sources, including text files, databases, API interfaces, and more. Users can easily integrate external data into their AI workflows. +- **Templates and Sharing**: The system provides rich preset templates that users can use to quickly start their projects. Users can also save their created workflows as templates to share with team members. + +## Configuration and Usage Instructions + +### Important Notes + +Before using Langflow, please ensure your system meets the following requirements: +- At least 1GB of available memory +- Stable network connection (for accessing external APIs) +- Modern browser (Chrome or Firefox recommended) + +### Access Method + +After installation, you can access the Langflow interface through your browser: +- Default port: 7860 +- Access URL: http://YourServerIP:PortNumber + +### Basic Usage Steps + +1. Open your browser and access the Langflow interface +2. Select the required components from the left component panel +3. Drag components to the central canvas area +4. Connect components using connection lines +5. Configure parameters for each component +6. Click the run button to test your workflow +7. Adjust and optimize the process based on output results diff --git a/apps/langflow/data.yml b/apps/langflow/data.yml new file mode 100644 index 0000000..552dbb2 --- /dev/null +++ b/apps/langflow/data.yml @@ -0,0 +1,24 @@ +name: Langflow +tags: + - AI + - 开发工具 +title: 一款强大的工具，用于构建和部署 AI 驱动的代理和工作流 +description: + en: Langflow is a powerful tool for building and deploying AI-powered agents and + workflows. + zh: 一款强大的工具，用于构建和部署 AI 驱动的代理和工作流 +additionalProperties: + key: langflow + name: Langflow + tags: + - AI + - DevTool + shortDescZh: 一款强大的工具，用于构建和部署 AI 驱动的代理和工作流 + shortDescEn: Langflow is a powerful tool for building and deploying AI-powered + agents and workflows. + type: website + crossVersionUpdate: true + limit: 0 + website: http://www.langflow.org/ + github: https://github.com/langflow-ai/langflow + document: https://docs.example.com diff --git a/apps/langflow/latest/data.yml b/apps/langflow/latest/data.yml new file mode 100644 index 0000000..3508175 --- /dev/null +++ b/apps/langflow/latest/data.yml @@ -0,0 +1,11 @@ +additionalProperties: + formFields: + - default: "8080" + envKey: PANEL_APP_PORT_HTTP + label: + en: Port + zh: 端口 + required: true + type: number + edit: true + rule: paramPort diff --git a/apps/langflow/latest/docker-compose.yml b/apps/langflow/latest/docker-compose.yml new file mode 100644 index 0000000..ca94764 --- /dev/null +++ b/apps/langflow/latest/docker-compose.yml @@ -0,0 +1,43 @@ +services: + langflow: + image: langflowai/langflow:latest # or another version tag on https://hub.docker.com/r/langflowai/langflow + container_name: ${CONTAINER_NAME} + pull_policy: always # set to 'always' when using 'latest' image + ports: + - "${PANEL_APP_PORT_HTTP}:7860" + depends_on: + - postgres + environment: + - LANGFLOW_DATABASE_URL=postgresql://langflow:langflow@postgres:5432/langflow + # This variable defines where the logs, file storage, monitor data and secret keys are stored. + - LANGFLOW_CONFIG_DIR=/app/langflow + volumes: + - ./data:/app/langflow + + networks: + - 1panel-network + labels: + createdBy: "Apps" + postgres: + image: postgres:16 + container_name: ${CONTAINER_NAME}-postgres + environment: + POSTGRES_USER: langflow + POSTGRES_PASSWORD: langflow + POSTGRES_DB: langflow + ports: + - 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