aab1fd0af6
fix(test): raise spawn-child join timeout in test_multi_process_visibility The test spawns a child via multiprocessing spawn context, which cold-imports the full langflow package (plus coverage's multiprocessing hooks in CI) before appending a single event. The 10s join timeout is routinely exceeded on a loaded CI runner sharing 4 vCPUs with a second xdist worker: in nightly run 27253229568 (Unit Tests - Python 3.12 - Group 5) the test failed all 12 executions (5 reruns x 2 step attempts), each rerun exactly 10s apart - the join deadline, not a product bug. Raise the liveness bound to 60s (join returns immediately when the child exits, so the passing case is unaffected) and kill the child on timeout so a hung spawn can't leak into later tests.
Langflow is a powerful platform for building and deploying AI-powered agents and workflows. It provides developers with both a visual authoring experience and built-in API and MCP servers that turn every workflow into a tool that can be integrated into applications built on any framework or stack. Langflow comes with batteries included and supports all major LLMs, vector databases and a growing library of AI tools.
✨ Highlight features
- Visual builder interface to quickly get started and iterate.
- Source code access lets you customize any component using Python.
- Interactive playground to immediately test and refine your flows with step-by-step control.
- Multi-agent orchestration with conversation management and retrieval.
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Langflow Desktop is the easiest way to get started with Langflow. All dependencies are included, so you don't need to manage Python environments or install packages manually. Available for Windows and macOS.
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Install locally (recommended)
Requires Python 3.10–3.14 and uv (recommended package manager).
Install
From a fresh directory, run:
uv pip install langflow -U
The latest Langflow package is installed. For more information, see Install and run the Langflow OSS Python package.
Run
To start Langflow, run:
uv run langflow run
Langflow starts at http://127.0.0.1:7860.
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📦 Other install options
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If you've cloned this repository and want to contribute, run this command from the repository root:
make run_cli
For more information, see DEVELOPMENT.md.
Docker
Start a Langflow container with default settings:
docker run -p 7860:7860 langflowai/langflow:latest
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