Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
420cd92faa* style: Add icon property to WebhookComponent class * style: Update input components in APIRequest class * fix pr * [autofix.ci] apply automated fixes * remove debug print statement from api_request component * remove debug print statement from api_request component * feat: add dynamic cURL mode to APIRequestComponent - Add cURL command parsing and field population - Implement dynamic UI updates based on cURL input - Support JSON body and headers extraction from cURL - Add real-time refresh for cURL mode toggle * refactor(APIRequestComponent): improve HTTP methods and cURL handling - Add DELETE method support - Enhance cURL parameter handling and UI visibility - Fix JSON decode error handling with specific exception - Update method visibility for DELETE requests * style: Update input components in APIRequest class * [autofix.ci] apply automated fixes * remove debug print statement from api_request component * remove debug print statement from api_request component * feat: add dynamic cURL mode to APIRequestComponent - Add cURL command parsing and field population - Implement dynamic UI updates based on cURL input - Support JSON body and headers extraction from cURL - Add real-time refresh for cURL mode toggle * refactor(APIRequestComponent): improve HTTP methods and cURL handling - Add DELETE method support - Enhance cURL parameter handling and UI visibility - Fix JSON decode error handling with specific exception - Update method visibility for DELETE requests * [autofix.ci] apply automated fixes * git commit -m "ui(api-request): adjust field visibility and requirements - Move query_params to advanced section - Make URL field required" * feat(api): enhance curl parsing and update unit tests - Improve MultilineInput handling in APIRequestComponent for curl commands - Update parse_curl unit test to match expected data structure - Ensure consistent format for headers and body in test assertions * [autofix.ci] apply automated fixes * fix(api-request): improve UI/UX and fix initial field visibility - Fix body field flickering on component load - Enhance URL/cURL field toggle behavior * ✅ (filterSidebar.spec.ts): add tests for clicking on edit button modal, show headers button, and closing the modal to ensure correct behavior and visibility of elements * 📝 (dictComponent/index.tsx): update data-testid attribute to dynamically set based on editNode value for better testability 📝 (nestedComponent.spec.ts): update test data and selectors to match changes in dictComponent/index.tsx for accurate testing * refactor(api_request): improve component UX and field handling - Update tool_mode placement to align with main branch changes - Remove temporary required field validation to prevent UI conflicts - Add field clearing logic when switching between cURL and URL modes - Update component description to be more concise * git commit -m "fix: resolve merge conflicts with upstream in api request component * fix: resolve merge conflicts with upstream in api request component * Delete src/backend/tests/unit/test_data_components.py BREAKING CHANGE: Removed test_data_components.py as it has been replaced by test_api_request_component.py * git commit -m "test(api-request): update test_parse_curl to match TableInput format * style(test_api-request): apply ruff formatting rules * [autofix.ci] apply automated fixes --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: Cristhian Zanforlin Lousa <cristhian.lousa@gmail.com> 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 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.