Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
a3fe2fec90* refactor(components): Rename Parse Data component to Data to Message * Refactor: enhance Data to Message description * Refactor: enhance Data to Message description * feat: add required to template and data inputs * [autofix.ci] apply automated fixes * fix: Update element selectors in freeze.spec.ts * [autofix.ci] apply automated fixes * refactor: rename test IDs for processing data in frontend tests Updated test IDs from "processingParse Data" to "processingData to Message" across multiple test files to improve clarity and consistency in the test suite. This change enhances the readability of the tests related to data processing components. * refactor: update ParseDataComponent to improve clarity and consistency - Renamed the display name and description of the ParseDataComponent from "Data to Message" to "Parse Data" to better reflect its functionality. - Changed the icon from "message-square" to "braces" for a more appropriate visual representation. - Updated input fields to make 'required' status consistent across multiple starter projects, changing 'required' from true to false for 'data' and 'template' inputs. - Enhanced code readability by modifying the structure and comments within the component's implementation across various JSON files. * refactor: update ParseDataComponent across multiple starter projects - Changed the display name and description of the ParseDataComponent from "Parse Data" to "Data to Message" for better clarity. - Updated the icon from "braces" to "message-square" to better represent the component's functionality. - Made input fields 'data' and 'template' required across all affected JSON files to ensure proper data handling. - Enhanced code readability and consistency in the implementation of the ParseDataComponent across various starter projects. * ✨ (freeze.spec.ts): Update test descriptions and selectors to match changes in the application functionality related to data processing and messaging ✨ (stop-building.spec.ts): Update test description and selector to match changes in the application functionality related to data processing and messaging ✨ (fileUploadComponent.spec.ts): Update test description and selector to match changes in the application functionality related to data processing and messaging ✨ (loop-component.spec.ts): Update test description and selector to match changes in the application functionality related to data processing and messaging * fix broken tests --------- Co-authored-by: Eric Hare <ericrhare@gmail.com> Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: Edwin Jose <edwin.jose@datastax.com> Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> Co-authored-by: anovazzi1 <otavio2204@gmail.com> Co-authored-by: cristhianzl <cristhian.lousa@gmail.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.