Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
3643d962b9* Fixes copy of component outputs * Fix issue with copying outputs in custom components - Update loop to iterate over `_outputs.values()` instead of `outputs` to ensure correct attribute setting. * Refactor output handling in custom component to use dictionary values - Updated methods to iterate over `_outputs.values()` instead of `outputs`. - Ensured consistent access to output values across various methods. - Fixed potential issues with output value resetting and state model building. * Fix incorrect attribute reference in set_output_value method * Add missing import for CustomComponent in test_custom_component.py * Refactor `test_read_flow` to generate unique flow names for each test run * Refactor: Rename `_outputs` to `_outputs_map` in custom component - Updated all references of `_outputs` to `_outputs_map` in `component.py` to improve clarity and consistency. - Adjusted related methods and attributes in `base.py` to align with the new naming convention. * Fix output handling in custom component - Moved `_reset_all_output_values` call to ensure outputs are reset after initialization. - Updated attribute access to use `_outputs_map` instead of `_outputs` for consistency. --------- Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> |
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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.