Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
6c3c32851b* Refactor `ToolCallingAgentComponent` to enhance input handling and update descriptions * Add async event processing for agent execution in agent.py - Introduced `process_agent_events` method to handle asynchronous event processing for agent execution. - Added individual async handlers for different event types: `handle_chain_start`, `handle_chain_end`, `handle_chat_model_stream`, `handle_tool_start`, and `handle_tool_end`. - Updated agent execution to use `astream_events` for improved event handling. - Enhanced logging for better traceability of agent and tool execution events. * Refactor agent component to use MessageTextInput and improve prompt handling * Refactor tool calling agent component: update prompt handling and input naming conventions * Remove input key validation from create_agent_runnable method in tool_calling.py * Enhance agent logging by removing redundant checks and adding scratchpad logging * Refactor `process_agent_events` to a standalone function with enhanced logging capabilities * Refactor log callback messages to improve emoji placement consistency * Use `jsonable_encoder` to encode agent scratchpad messages before logging * style: simplify double string on the same line --------- Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> 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.
⭐ 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.