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✨ (model.py): introduce MultilineInput class to handle system messages in LCModelComponent for better organization and readability 📝 (Basic Prompting.json): Update node IDs and edge IDs for better readability and consistency in the JSON file. 📝 (Basic Prompting.json): Update node properties to display a chat message in the Playground instead of generating text using OpenAI LLMs ♻️ (Basic Prompting.json): Refactor field_order and outputs properties for the Chat Output node to include new fields and remove unnecessary ones ✨ (Basic Prompting.json): Update ChatOutput component to include new inputs and outputs for better customization and functionality. Add support for storing messages, setting sender type, and customizing message appearance. ✨ (Basic Prompting.json): Update field names and values for better clarity and consistency ♻️ (Basic Prompting.json): Refactor field names and values to improve readability and maintainability ✨ (Basic Prompting.json): Update the content of the file to include a new class 'OpenAIModelComponent' with inputs for configuring OpenAI model settings and methods for building the model and handling exceptions. Remove the 'data_template' field and update 'input_value' field to 'MessageInput'. Add new fields 'json_mode', 'max_tokens', 'model_kwargs', and 'model_name' with their respective configurations. 📝 (Basic Prompting.json): Update values and descriptions for fields in the Basic Prompting starter project to improve clarity and usability. Add a new field for temperature control with a default value of 0.1.
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 uv (recommended) (Python 3.10 to 3.12):
uv pip install langflow
- Install with pip (Python 3.10 to 3.12):
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.