Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
7dfce1dc63* fix: Enhance extract_class_name function to identify Component subclasses * Add TODO for improving Component inheritance check in validate.py * Add YahooFinanceMethod enum and improve error handling in Yahoo Finance tool - Introduced YahooFinanceMethod enum to standardize method options. - Updated YahooFinanceSchema to use the new enum for method selection. - Enhanced error handling by raising ToolException on data retrieval failure. - Refactored method handling in _yahoo_finance_tool to use enum values. * Enhance TavilySearchToolComponent with Enums and Improved Error Handling - Introduced `TavilySearchDepth` and `TavilySearchTopic` enums for better type safety and clarity. - Updated `TavilySearchSchema` to use enums for `search_depth` and `topic` fields. - Added validation for enum values in `run_model` and `_tavily_search` methods. - Improved error handling by raising `ToolException` for HTTP and unexpected errors. - Updated dropdown inputs to use enum options directly. * Add error handling and parameter flexibility to SerpAPI tool - Introduced `ToolException` for improved error handling in SerpAPI searches. - Added `SerpAPISchema` for structured search parameters. - Modified `_build_wrapper` to accept dynamic parameters. - Enhanced `search_func` to rebuild wrapper with new parameters and handle exceptions. * feat: Enhance Glean Search API integration Refactor the API wrapper and schema for better clarity and maintainability. Improve error handling for search results and streamline request preparation. * Add error handling to DuckDuckGo search function using ToolException --------- Co-authored-by: Eric Hare <ericrhare@gmail.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 pip (Python 3.10 or greater):
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.