VICTOR CORREA GOMES ef6226d25d feat: Enhance ConditionalRouterComponent with Regex Matching and UI Improvements (#5217)
* fix: revert response return type to Message for compatibility

* Change the max_iterations and case_sensitive advanced options

* feat: add regex matching and real-time refresh functionality

* Refactor evaluate_condition method to use elif statements for clarity

- Changed if statements to elif in the evaluate_condition method to improve readability and indicate mutually exclusive conditions.

- Removed redundant advanced=True line from BoolInput for case sensitivity.

* [autofix.ci] apply automated fixes

* Format code using make format

- Applied code formatting to ensure consistency and adherence to style guidelines.

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Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Co-authored-by: Eric Hare <ericrhare@gmail.com>
2024-12-16 10:13:25 -08:00
2024-06-10 11:31:02 -03:00
2024-06-04 09:26:13 -03:00
2024-12-12 19:01:16 +00:00

Langflow

Langflow is a low-code app builder for RAG and multi-agent AI applications. Its Python-based and agnostic to any model, API, or database.

Docs - Free Cloud Service - Self Managed

README in English README in Portuguese README in Spanish README in Simplified Chinese README in Japanese README in KOREAN README in French

Core features

  1. Python-based and agnostic to models, APIs, data sources, or databases.
  2. Visual IDE for drag-and-drop building and testing of workflows.
  3. Playground to immediately test and iterate workflows with step-by-step control.
  4. Multi-agent orchestration and conversation management and retrieval.
  5. Free cloud service to get started in minutes with no setup.
  6. Publish as an API or export as a Python application.
  7. Observability with LangSmith, LangFuse, or LangWatch integration.
  8. Enterprise-grade security and scalability with free DataStax Langflow cloud service.
  9. Customize workflows or create flows entirely just using Python.
  10. Ecosystem integrations as reusable components for any model, API or database.

Integrations

📦 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

Getting Started

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👋 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.


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Description
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
Readme MIT 2.3 GiB
Languages
Python 64.5%
TypeScript 23.4%
JavaScript 11.4%
CSS 0.3%
Makefile 0.2%
Other 0.1%