Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
48fb846a4d* refactor(log_router.py): change variable type annotation from List to list for better consistency refactor(utils.py): change variable type annotation from Dict to dict for better consistency refactor(base.py): change variable type annotation from Optional to Union for better clarity refactor(callback.py): change variable type annotation from Dict to dict for better consistency refactor(chat.py): change variable type annotation from Optional to Union for better clarity refactor(endpoints.py): change variable type annotation from Optional to Union for better clarity refactor(flows.py): change variable type annotation from List to list for better consistency refactor(api): update response_model annotations to use lowercase list for consistency and improve readability refactor(store.py): update type annotations for query parameters in get_components endpoint to improve code readability and maintainability feat(store.py): add support for type hinting Union and list types in query parameters for better data validation and documentation * run make format * refactor(input_mixin.py): update typing annotations for variables to use union types for better clarity and compatibility with Python 3.10 refactor(inputs.py): update typing annotations for variables to use union types and import necessary modules for compatibility with Python 3.10 * refactor(base.py): remove unnecessary imports and update typing for fields in Input and Output classes feat(base.py): add support for specifying field types more explicitly in Input and Output classes feat(frontend_node/base.py): enhance typing and field definitions in FrontendNode class feat(frontend_node/custom_components.py): improve typing and field definitions in CustomComponentFrontendNode and ComponentFrontendNode classes feat(template/base.py): update typing for fields in Template class and remove unnecessary imports * refactor(inputs): remove unnecessary Optional import from typing in input_mixin.py and inputs.py files to improve code readability and maintainability * refactor(schema.py): change 'Type' to 'type' for consistency in type annotations refactor(schema.py): change 'list' to 'List' and 'Literal' to 'literal' for correct type hinting in create_input_schema function * refactor(utils.py): change typing annotations from List and Union to list and type to follow PEP 585 standards refactor(test_schema.py): change typing annotations from List and List to list and list to follow PEP 585 standards refactor(test_graph.py): change typing annotations from Type and Union to type and Vertex | None to follow PEP 585 standards refactor(test_io_schema.py): change typing annotations from List and List to list and list to follow PEP 585 standards refactor(test_custom_component.py): update file reading method to remove unnecessary "r" mode refactor(test_helper_components.py): update file reading method to remove unnecessary "r" mode refactor(test_kubernetes_secrets.py): update b64encode method argument to bytes type refactor(test_template.py): change typing annotations from Optional, List, and Dict to list, dict, and None to follow PEP 585 standards * [autofix.ci] apply automated fixes --------- 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.