Cristhian Zanforlin Lousa 1e52711cf4 refactor: simplify input_types in LCToolsAgentComponent (remove BaseTool and StructuredTool) (#5084)
* 🔧 (agent.py): remove unnecessary input_types "BaseTool" and "StructuredTool" from the HandleInput class to simplify and clarify the code.

* 🔧 (sql.py): remove "BaseTool" from input_types in HandleInput to simplify the code and enhance clarity.

* 🔧 Refactor starter project JSON files to simplify inputTypes by removing "BaseTool" and "StructuredTool", retaining only "Tool" for clarity and consistency across multiple agent configurations.

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Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
2024-12-18 20:57:37 +00:00
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.

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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

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Description
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
Readme MIT 2.3 GiB
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JavaScript 11.4%
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