Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
* 📝 (tailwind.config.mjs): refactor color classes from "inner-" to "accent-" for better clarity and consistency in naming conventions * 🔧 (GenericNode/index.tsx): Remove unused imports and constants to clean up the code and improve maintainability ♻️ (GenericNode/index.tsx): Refactor GenericNode component by removing unnecessary code related to BuildStatus and BorderBeam to simplify the component and improve readability * 🔧 (handleRenderComponent/index.tsx): rename innerColorName and innerForegroundColorName variables to accentColorName and accentForegroundColorName for better clarity and consistency 🔧 (handleRenderComponent/index.tsx): update CSS variables to use accent prefix instead of inner for better naming convention and readability 🔧 (handleRenderComponent/index.tsx): pass accentColorName and accentForegroundColorName props to HandleTooltipComponent for improved customization and styling * 📝 (HandleTooltipComponent/index.tsx): Refactor HandleTooltipComponent to use Badge component for tooltip styling and add support for custom accent colors and foreground colors based on left alignment. Update styles and data-testid attributes accordingly. * 📝 (NodeStatus/index.tsx): update border and text color classes for better visual consistency and clarity * 🐛 (get-class-from-build-status.ts): fix incorrect condition to return class based on build status, now correctly returns class for BUILDING status * ✨ (nodeToolbarComponent/index.tsx): Add zoom functionality to NodeToolbarComponent using ReactFlow's store selector to dynamically adjust scale based on zoom level. * 📝 (applies.css): add a new CSS class .toolbar-wrapper to style the toolbar with flex layout, spacing, border, background color, padding, and shadow for better visual appearance * 📝 (index.css): Update accent color variables to improve consistency and readability in the stylesheet. * [autofix.ci] apply automated fixes * Update src/frontend/src/style/applies.css Co-authored-by: Mike Fortman <michael.fortman@datastax.com> * Update src/frontend/src/CustomNodes/GenericNode/components/HandleTooltipComponent/index.tsx Co-authored-by: Mike Fortman <michael.fortman@datastax.com> * ✨ (NodeStatus/index.tsx): Improve border styling for selected and unselected nodes for better visual consistency 🔧 (applies.css): Remove unnecessary border width specification in various CSS classes to simplify styling and improve maintainability * 🔧 (PageComponent/index.tsx): Update innerColor variable to accentColor for better clarity and consistency in styling 🔧 (sidebarFilterComponent/index.tsx): Update backgroundColor style to use accent color instead of inner color for better visual consistency 🔧 (nodeToolbarComponent/index.tsx): Add relative positioning to the buttons in the NodeToolbarComponent for better alignment on the page * ✨ (nodeToolbarComponent/index.tsx): Add styleClasses property to ShadTooltip component to apply custom styling for positioning ♻️ (applies.css): Refactor CSS classes to use shorthand notation for height and width properties, and update class names for better readability and maintainability * 🔧 (nodeToolbarComponent/index.tsx): update button height class to improve consistency and readability --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: Mike Fortman <michael.fortman@datastax.com> |
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Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
Docs - Free Cloud Service - Self Managed
✨ Core features
- Python-based and agnostic to models, APIs, data sources, or databases.
- Visual IDE for drag-and-drop building and testing of workflows.
- Playground to immediately test and iterate workflows with step-by-step control.
- Multi-agent orchestration and conversation management and retrieval.
- Free cloud service to get started in minutes with no setup.
- Publish as an API or export as a Python application.
- Observability with LangSmith, LangFuse, or LangWatch integration.
- Enterprise-grade security and scalability with free DataStax Langflow cloud service.
- Customize workflows or create flows entirely just using Python.
- Ecosystem integrations as reusable components for any model, API or database.
📦 Quickstart
- Install with pip (Python 3.10 or greater):
pip install langflow
- Cloud: DataStax Langflow is a hosted environment with zero setup. Sign up for a free account.
- Self-managed: Run Langflow in your environment. Install Langflow to run a local Langflow server, and then use the Quickstart guide to create and execute a flow.
- Hugging Face: Clone the space using this link to create a Langflow workspace.
⭐ Stay up-to-date
Star Langflow on GitHub to be instantly notified of new releases.
👋 Contribute
We welcome contributions from developers of all levels. If you'd like to contribute, please check our contributing guidelines and help make Langflow more accessible.
