Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
d3b8f6cd7e* first attempt to edit variables on the data table * refactor: Rename AddNewVariableButton to GlobalVariableModal and update its usage The component AddNewVariableButton has been renamed to GlobalVariableModal to better reflect its purpose. The component is now used in multiple places, including the GlobalVariablesPage and InputGlobalComponent. This change improves code clarity and consistency. * fix: fix apply to fields on table edit option * refactor: Trim field names before checking for availability in GlobalVariableModal and GlobalVariablesPage Trim field names before checking for availability in GlobalVariableModal and GlobalVariablesPage to ensure consistent comparison and avoid any potential issues with leading or trailing spaces. * Refactor GlobalVariablesPage to remove unused cellRenderer in the "value" field * [autofix.ci] apply automated fixes * Add validation for 'value' field in VariableRead model and import CREDENTIAL_TYPE - Introduced a field validator for the 'value' field in the VariableRead model to handle cases where the variable type is CREDENTIAL_TYPE. - Added necessary import for CREDENTIAL_TYPE. - Removed an unnecessary blank line in the variable API. * Add constants for credential and generic types in variable service * Refactor import statements in `kubernetes.py` to improve module organization * Refactor imports in test_service.py for better organization * refactor: Update import statements in variable.py for better organization * Refactor import and reorder fields in VariableRead model - Changed import of `CREDENTIAL_TYPE` from `service` to `constants` module. - Reordered fields in `VariableRead` model to place `type` before `value`. * ✨ (userSettings.spec.ts): Add additional randomName variables for testing purposes 📝 (userSettings.spec.ts): Update test to interact with global variables and improve readability and maintainability of the code * test: fix test_create_variable --------- Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> Co-authored-by: cristhianzl <cristhian.lousa@gmail.com> Co-authored-by: italojohnny <italojohnnydosanjos@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 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.