Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
ad97ee9830* refactor: Refactor file path rewriting logic This commit refactors the logic for rewriting file paths in the `rewrite_file_path` function. The function now splits the file path by "/" and checks if it has at least two parts. If it does, it creates a consistent file path by concatenating the last two parts. If not, it returns the original file path. This change improves the consistency of file paths in the codebase. Refactor the file path rewriting logic in the `rewrite_file_path` function. * refactor: Refactor file path rewriting logic and treat file paths in InterfaceVertex * Refactor file path rewriting logic and treat file paths in InterfaceVertex * Refactor file path rewriting logic and treat file paths in InterfaceVertex * Refactor file path rewriting logic and treat file paths in InterfaceVertex * ✨ (general-bugs-shard-3836.spec.ts): update test description to be more specific about the tool used for sending images on chat 📝 (general-bugs-shard-3836.spec.ts): remove unused import of readFileSync from fs module * ✅ (test_rewrite_file_path.py): add unit tests for the rewrite_file_path function to ensure correct behavior with various file path scenarios * ♻️ (utils.py): refactor file_path function to handle both forward and backward slashes and extract file path after drive letter if present * style: fix single quotes, commas, and spaces --------- Co-authored-by: italojohnny <italojohnnydosanjos@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.
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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.