Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
e1fb90074c* feat: Enhance Locust load testing for Langflow run endpoint Refactor locustfile to provide more robust and configurable load testing: - Add dynamic configuration via environment variables - Improve error handling and logging - Implement realistic flow run simulation - Add connection and timeout handling - Support API key authentication - Enhance stats tracking and error reporting * fix: Improve transaction logging error handling and performance - Add `no_autoflush` context to prevent unnecessary database operations - Change transaction logging error from exception to error level logging - Simplify error handling in log_transaction function * chore: Add Locust to development dependencies Update project dependencies by adding Locust (version 2.32.9) to the development requirements, supporting load testing capabilities * feat: Optimize database connection settings for improved performance and scalability - Increase default pool_size from 10 to 20 for better connection handling - Adjust max_overflow to 40 to support higher concurrent connections - Extend db_connect_timeout from 20 to 30 seconds - Add pool_recycle and echo settings to db_connection_settings - Enhance documentation for database connection settings, highlighting SQLite limitations * feat: Add Locust load testing configuration to Makefile - Introduce comprehensive Locust load testing target with configurable parameters - Support flexible testing scenarios with customizable users, spawn rate, and host - Enable headless and interactive testing modes - Add environment variable support for API key, flow ID, and other testing parameters - Provide sensible default values for load testing configuration * refactor: Remove unused retry configuration in Locust load testing - Remove RETRY_DELAY and MAX_RETRIES environment variables - Simplify FlowRunUser configuration by eliminating unused retry settings - Maintain existing wait time configuration for load testing * feat: Enforce FLOW_ID requirement for Locust load testing - Add mandatory validation for FLOW_ID environment variable - Raise a clear ValueError if FLOW_ID is not provided - Remove default flow ID to ensure explicit configuration - Improve load testing configuration robustness * feat: Add configurable request timeout for Locust load testing - Introduce `locust_request_timeout` parameter in Makefile - Update locustfile to use configurable request timeout from environment variable - Set dynamic connection and network timeout based on REQUEST_TIMEOUT - Improve request handling with flexible timeout configuration * revert change to database connection retry |
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| docker_example | ||
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| src | ||
| test-results | ||
| .env.example | ||
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| CODE_OF_CONDUCT.md | ||
| CONTRIBUTING.md | ||
| DEVELOPMENT.md | ||
| eslint.config.js | ||
| LICENSE | ||
| Makefile | ||
| pyproject.toml | ||
| README.ES.md | ||
| README.FR.md | ||
| README.ja.md | ||
| README.KR.md | ||
| README.md | ||
| README.PT.md | ||
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| render.yaml | ||
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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.
⭐ 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.