Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
af59056604* feat: Add session ID support to tracing service This commit adds support for setting the session ID in the tracing service. Two methods have been modified: - In the `Graph` class, the `set_session_id` method has been added to set the ID of the current session. - In the `ArizePhoenixTracer` class, the `__init__` method has been modified to accept a `session_id` parameter and store it. These changes enable the tracing service to associate traces with specific sessions, improving trace management and analysis. * refactor: Improve tracing session ID handling in Graph class - Rename `set_session_id()` method to `set_tracing_session_id()` - Add null check for tracing service when setting session ID - Enhance method to only set session ID when tracing service is available --------- Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> |
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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 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.
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