Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
0b15084412* update components to update * Added update all components * Update the logic for updating all components * Added dismiss functionality * Removed node from components to update when updated * ✨ (list/index.tsx): add data-testid attribute to list card component for testing purposes ✨ (reactflow): create edges to connect different nodes for data flow in the chatbot application. 📝 (Prompt): Update prompt template with dynamic variables for better customization and flexibility. 📝 (code): update code in ChatInput component to import necessary modules and classes for chat inputs handling ♻️ (code): refactor code in ChatInput component to improve readability and maintainability by organizing imports and defining class attributes clearly 📝 (input.py): Update input fields display names and information for better clarity and understanding 📝 (input.py): Update file input field to support multiple file types and be a list of files 📝 (input.py): Update sender options to be more descriptive as "Machine" and "User" instead of constants 📝 (input.py): Update sender_name input field information to clarify it is the name of the sender 📝 (input.py): Update session_id input field information to explain its purpose and usage 📝 (input.py): Update files input field information to clarify it is for files to be sent with the message 📝 (input.py): Update input_value input field information to clarify it is the text message to be passed as input 📝 (input.py): Update should_store_message input field information to explain its purpose of storing messages in history 📝 (input.py): Update message_response method to handle storing messages based on conditions and updating status 📝 (metadata): Update metadata fields in ChatInput component for better clarity and consistency 📝 (OpenAIModel): Add OpenAI API Key field to the template for configuring the OpenAI model usage 📝 (LCModelComponent): Update OpenAIModelComponent inputs and add support for new features and configurations to enhance text generation capabilities. 📝 (file.py): Update comments and documentation for better clarity and understanding of the code ♻️ (file.py): Refactor code to improve readability and maintainability by restructuring the logic and removing unnecessary code blocks 📝 (schema.json): Update schema for the Output of the model to enable JSON mode and improve functionality 📝 (ChatOutput): Display a chat message in the Playground for better user interaction and experience 📝 (ChatOutput): Update ChatOutput class inputs and outputs structure for better organization and readability. ✨ (frontend): Add a new file 'outdated_flow.json' to store outdated flow data for frontend tests. ✨ (outdated-actions.spec.ts): add test to ensure user can update outdated components in the application * [autofix.ci] apply automated fixes * [autofix.ci] apply automated fixes * fix tests --------- Co-authored-by: cristhianzl <cristhian.lousa@gmail.com> Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> |
||
|---|---|---|
| .devcontainer | ||
| .github | ||
| .vscode | ||
| deploy | ||
| docker | ||
| docker_example | ||
| docs | ||
| scripts | ||
| src | ||
| test-results | ||
| .env.example | ||
| .eslintrc.json | ||
| .gitattributes | ||
| .gitignore | ||
| .pre-commit-config.yaml | ||
| CODE_OF_CONDUCT.md | ||
| CONTRIBUTING.md | ||
| eslint.config.js | ||
| LICENSE | ||
| Makefile | ||
| pyproject.toml | ||
| README.ES.md | ||
| README.ja.md | ||
| README.KR.md | ||
| README.md | ||
| README.PT.md | ||
| README.zh_CN.md | ||
| render.yaml | ||
| uv.lock | ||
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.