Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
42cc1dacd2* Refine condition to check for undefined value in use-handle-new-value hook * update mutateTemplate to use APIClassType * Refactor Component class to update inputs and validate outputs This commit refactors the Component class in the `component.py` file. It introduces two new methods: `update_inputs` and `run_and_validate_update_outputs`. The `update_inputs` method allows for updating the build configuration with new field values, while the `run_and_validate_update_outputs` method updates the frontend node and validates the outputs. Additionally, the `_validate_frontend_node` method is added to check if all outputs are valid. The `_set_output_types` method is modified to accept a list of outputs and set their return types. Overall, these changes improve the functionality and maintainability of the Component class. * Add dynamic output validation in API endpoint for component updates * Update build_config to store field_value under "value" key * Refactor: Convert dict values to list in _set_output_types call * Add type check for `cc_instance` before calling `run_and_validate_update_outputs` * Add DynamicOutputComponent with configurable outputs based on input * Add test for updating component outputs with dynamic code input * Refactor: Make get_dynamic_output_component_code asynchronous for improved performance --------- Co-authored-by: Edwin Jose <edwin.jose@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.
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👋 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.