Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
8c74ead3e8* ✨ (save_to_file.py): Add a new component 'SaveToFileComponent' to save DataFrames, Data, or Messages to various file formats. This component allows users to select the input type, file format, and file path for saving the data. * [autofix.ci] apply automated fixes * 🔧 (save_to_file.py): refactor variable names for better readability and consistency 🐛 (save_to_file.py): handle unsupported input types and formats by raising ValueErrors with informative error messages * [autofix.ci] apply automated fixes * ✨ (test_save_to_file_component.py): Add unit tests for the SaveToFileComponent to ensure proper saving of data to various file formats and handling of different input types. * [autofix.ci] apply automated fixes * 📝 (save_to_file.py): Add support for handling different types of message text in the SaveToFileComponent class to ensure proper saving to file 🔧 (test_save_to_file_component.py): Refactor test cases in the SaveToFileComponent test file for better readability and maintainability * [autofix.ci] apply automated fixes --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.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 uv (recommended) (Python 3.10 to 3.12):
uv pip install langflow
- Install with pip (Python 3.10 to 3.12):
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.