Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
7c04245ea1* ## refactor(google_search): migrate to new tool mode implementation - Replace legacy tool mode using LCToolComponent with new Component class and tool_mode flag. - Update input/output definitions to use new DataFrame type and explicit Output configuration. Key changes: - Migrate from LCToolComponent to Component base class - Add explicit output configuration with DataFrame type - Update error handling to return structured DataFrame responses - Implement tool_mode using new flag syntax * test(google-search): add unit tests for GoogleSearchAPIComponent * fix(google-search): adjust DataFrame format to match expected type - Update error responses to use list[dict] format instead of dict[list] * [autofix.ci] apply automated fixes * revert(tools): restore GoogleSearchAPI component to its original implementation Due to potential breaking changes in the repository, reverting the GoogleSearchAPI component to its initial state to maintain compatibility and stability. * refactor(tools): mark GoogleSearchAPI component as deprecated Mark GoogleSearchAPI component as legacy and add [DEPRECATED] to its display name to better communicate its status to users while maintaining backward compatibility. * feat: add Google Search API core component Implements Google Search API wrapper with error handling and DataFrame output * test: update Google Search API tests for core component Adjusts test file to use GoogleSearchAPICore instead of GoogleSearchAPIComponent --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.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.