5f227a7adb* feat: add LambdaFilterComponent for dynamic data filtering - Introduced LambdaFilterComponent to generate lambda functions for filtering or transforming structured data using LLMs. - Updated __init__.py to include the new component. - Added utility functions in data_structure.py for analyzing and inferring data types. - Implemented unit tests for LambdaFilterComponent to ensure functionality and error handling. * feat: enhance LambdaFilterComponent with new features and improvements - Updated filter_instruction input to provide clearer guidance and examples. - Added max_size input to specify character limits for large datasets. - Renamed output from "Processed Data" to "Filtered Data" for clarity. - Introduced new output "DataFrame" to return filtered data in DataFrame format. - Improved data handling in filter_data method to ensure proper conversion of processed data to Data objects. - Added as_dataframe method to return filtered data as a DataFrame. This update enhances usability and functionality of the LambdaFilterComponent. * [autofix.ci] apply automated fixes * fix: ruff errors * [autofix.ci] apply automated fixes * [autofix.ci] apply automated fixes (attempt 2/3) * [autofix.ci] apply automated fixes (attempt 3/3) * [autofix.ci] apply automated fixes * updated the test file and fixed formatting issues * [autofix.ci] apply automated fixes --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: italojohnny <italojohnnydosanjos@gmail.com> Co-authored-by: Edwin Jose <edwin.jose@datastax.com> |
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Langflow is a powerful tool for building and deploying AI-powered agents and workflows. It provides developers with both a visual authoring experience and a built-in API server that turns every agent into an API endpoint that can be integrated into applications built on any framework or stack. Langflow comes with batteries included and supports all major LLMs, vector databases and a growing library of AI tools.
✨ Highlight features
- Visual Builder to get started quickly and iterate.
- Access to Code so developers can tweak any component using Python.
- Playground to immediately test and iterate on their flows with step-by-step control.
- Multi-agent orchestration and conversation management and retrieval.
- Deploy as an API or export as JSON for Python apps.
- Observability with LangSmith, LangFuse and other integrations.
- Enterprise-ready security and scalability.
⚡️ Quickstart
Langflow works with Python 3.10 to 3.13.
Install with uv (recommended)
uv pip install langflow
Install with pip
pip install langflow
📦 Deployment
Self-managed
Langflow is completely open source and you can deploy it to all major deployment clouds. Follow this guide to learn how to use Docker to deploy Langflow.
Fully-managed by DataStax
DataStax Langflow is a full-managed environment with zero setup. Developers can sign up for a free account to get started.
⭐ 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.