Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
2adda780c9* Refactor Alembic environment script to simplify database connection logic and remove unused imports * Refactor test client fixture to use TemporaryDirectory and UUID for database path * Add `reload_engine` method to reinitialize the database engine * Add cleanup steps to test fixtures to ensure proper resource management - Added cleanup steps to various pytest fixtures to ensure temporary directories, database entries, and other resources are properly cleaned up after tests. - Modified fixtures to use `yield` for better resource management. - Ensured database connections are closed and tables are dropped after tests. - Improved temporary directory handling with context managers. * Add unit test to verify return type of list_flows method in custom component * Refactor tests in `test_custom_component.py` to remove unused imports and fixtures, and update existing fixtures for consistency. * Add debug checks for user existence in `test_user_waiting_for_approval` test * Fix import order and add flow_id validation in transaction handling - Corrected the import order in `utils.py`. - Added validation for `flow_id` in the transaction handling logic to ensure it is set correctly. * Add function to delete transactions by flow ID in CRUD module * Add cleanup for transactions and vertex builds in test teardown - Introduced `_delete_transactions_and_vertex_builds` function to remove transactions and vertex builds associated with a user. - Updated `user` fixture to call the new cleanup function before deleting the user. * Refactor flow_id assignment logic in `utils.py` to improve readability and correctness * [autofix.ci] apply automated fixes * Refactor test to use pytest's tmp_path fixture for temporary directory creation * Convert `test_user_waiting_for_approval` to an async test function --------- 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 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.