Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
8809128d93* refactor(tests): add new fixtures to files tests - Introduced new pytest fixtures for creating API keys, active users, and flows to streamline test setup. - Updated file upload, download, list, and delete tests to utilize the new fixtures, improving clarity and maintainability. - Ensured that flow IDs are correctly referenced in all file operations, enhancing test accuracy. - Added cleanup logic in fixtures to maintain database integrity after tests. This refactor improves the organization of test cases and ensures that they are more robust and easier to understand. * fix(tests): clear services cache in test fixtures - Added logic to clear the services cache in both `conftest.py` and `test_files.py` fixtures to ensure a clean state for tests. - This change prevents potential interference between tests by resetting the service manager's factories and services before each test run. * refactor(tests): streamline file upload tests and remove unused mocks - Removed the mock implementation of StorageService from the test fixtures to simplify the test setup. - Introduced new fixtures to set maximum file size upload limits, enhancing test flexibility. - Updated file upload, download, and list tests to directly use the new fixtures, improving clarity and maintainability. - Ensured that uploaded file content is accurately tested, reflecting changes in the upload and download logic. |
||
|---|---|---|
| .devcontainer | ||
| .github | ||
| .vscode | ||
| deploy | ||
| docker | ||
| docker_example | ||
| docs | ||
| scripts | ||
| src | ||
| test-results | ||
| .env.example | ||
| .eslintrc.json | ||
| .gitattributes | ||
| .gitignore | ||
| .pre-commit-config.yaml | ||
| CODE_OF_CONDUCT.md | ||
| CONTRIBUTING.md | ||
| DEVELOPMENT.md | ||
| eslint.config.js | ||
| LICENSE | ||
| Makefile | ||
| pyproject.toml | ||
| README.ES.md | ||
| README.FR.md | ||
| README.ja.md | ||
| README.KR.md | ||
| README.md | ||
| README.PT.md | ||
| README.zh_CN.md | ||
| render.yaml | ||
| uv.lock | ||
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.