Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
1530e61669* refactor: simplify TaskService by removing Celery integration * refactor: enhance AnyIO backend task management and error handling * refactor: restructure flow building process and enhance event handling * feat: implement QueueService for managing job queues and tasks * feat: Add QueueService for managing job queues and task lifecycle * feat!: Enhance flow building with QueueService integration for job management * revert changes to async session * feat: Integrate QueueService into lifespan management for task handling * refactor: Enhance QueueService with robust lifecycle management and cleanup mechanisms * refactor: Simplify docstring for get_queue_service function * refactor: Update import statements in queue factory for clarity * test: Improve chat endpoint tests with comprehensive build flow scenarios * refactor: Streamline flow build event generation and queue management * refactor: Improve flow build process with modular event handling and URL parameter management * test: Enhance loop component tests with flow build and event handling utilities * fix: Improve transaction logging with null flow_id handling and debug logging * fix: Remove unnecessary db.refresh() in transaction logging * feat: Add polling mode for build events with optional streaming * feat: Add event delivery configuration option to settings * feat: Implement polling for build events with configuration-driven streaming * refactor: Enhance queue cleanup with improved logging and error handling * test: Improve build event stream assertion with detailed error reporting * test: Add benchmark test for build flow polling mechanism * refactor: Remove redundant end event in flow event generation * test: Update test_component_tool_with_api_key to use async flow * Convert test method to async * Update graph start method to use async_start() * Add client parameter to test method * Modify tool retrieval to use async method * test: Add session ID generation in agent component test * fix: Enhance error handling in LCAgentComponent for ExceptionWithMessageError Add null checks to prevent potential AttributeError when handling agent message deletion * test: Refactor test assertion for model name options in agent component Simplify the assertion for checking "sonnet" in model name options by extracting the options to a variable first * refactor: Improve type hints and imports in AnyIOTaskResult * Add `__future__` import for type annotations * Use conditional import for `Callable` and `TracebackType` * Explicitly type `_traceback` attribute with `TracebackType | None` * fix: Add null checks for event task in build events streaming * refactor: Extract build and disconnect handling into separate modules This commit separates the build and disconnect handling logic from the chat API module into dedicated files: - Created `langflow/api/build.py` to house the flow generation and vertex building logic - Created `langflow/api/disconnect.py` to manage the custom streaming response with disconnect handling - Removed duplicate code from `langflow/api/v1/chat.py` - Improved code organization and modularity * refactor: Extract flow build and event handling methods in build API This commit introduces two new methods in the build API to improve code organization and reusability: - `start_flow_build()`: Centralizes the logic for creating a queue and starting a flow build task - `get_flow_events_response()`: Handles retrieving flow events for both streaming and polling modes The changes simplify the chat API endpoint implementations and reduce code duplication * refactor: Deprecate /task endpoint and add informative error message This commit marks the /task endpoint as deprecated and raises an HTTP 400 error with a clear message indicating the endpoint will be removed in a future version. The changes improve API clarity and guide users towards the recommended /run endpoint. * refactor: Update log_transaction function return type annotation Modify the return type hint for log_transaction to allow for potential None return, improving type safety and clarity in the transactions logging method. * feat: Add configurable event delivery streaming option Introduce support for configurable event delivery mode (streaming/polling) across frontend components: - Add `shouldStreamEvents()` method in NodeStatus and IOModal - Update flowStore to accept a `stream` parameter - Modify buildFlowVerticesWithFallback to use the stream parameter directly - Remove hardcoded polling logic in buildUtils * fix: Add null check for flow_id in log_transaction function Prevent logging transactions without a flow_id by returning None, ensuring data integrity and avoiding potential database errors * chore: Update changes-filter to include chat API path * fix: Add error handling and null checks in flow transaction deletion Improve robustness of transaction and vertex build deletion by: - Adding a null check for flow_id in delete_transactions_by_flow_id - Wrapping deletion operations in try-except blocks to prevent failures - Logging debug messages for any deletion errors * fix: Remove redundant commit in vertex builds deletion Remove unnecessary db.commit() from delete_vertex_builds_by_flow_id to prevent duplicate commits and simplify database transaction handling * fix: Improve transaction logging with debug message and return value Move debug logging from CRUD layer to utils to provide more context about logged transactions and ensure proper error handling * fix: Improve error handling and transaction cleanup in active_user fixture Enhance user and transaction cleanup process in test fixture by: - Adding separate try-except blocks for transaction/vertex build deletion and user deletion - Adding debug logging for potential errors during cleanup - Ensuring proper session commits for each operation * propagate parent task CancelledError instead of supressing it Co-authored-by: Christophe Bornet <cbornet@hotmail.com> * refactor: Rename queue service to job queue service Restructure job queue management by: - Renaming QueueService to JobQueueService - Moving queue-related files to a new job_queue directory - Updating import paths and service type references - Enhancing job queue service with more robust async job management * fix: Correct ServiceType enum reference for job queue service Update the service type constant to match the recently renamed JobQueueService, ensuring consistent service type referencing across the application. * refactor: Enhance JobQueueService with comprehensive logging and documentation Improve the JobQueueService implementation by: - Adding detailed docstrings with clear explanations of methods and attributes - Implementing comprehensive logging throughout the service - Enhancing error handling and logging for queue and task management - Providing more context in log messages for debugging and monitoring * docs: Improve stop method docstring for JobQueueService Enhance the documentation for the stop method by: - Providing a more detailed and precise description of the shutdown process - Clarifying the steps involved in gracefully stopping the service - Improving the explanation of resource cleanup and task cancellation * fix: Properly handle task cancellation and propagate exceptions in JobQueueService * fix: Enhance error handling and raise appropriate exceptions in JobQueueService methods * improve docstring Co-authored-by: Christophe Bornet <cbornet@hotmail.com> * fix: Remove redundant exception raises in JobQueueService methods and improve cleanup logic * fix: Improve logging during job cleanup and handle exceptions more appropriately * feat: add utility to run tests with multiple event delivery modes * feat: integrate withEventDeliveryModes utility in multiple test files * refactor: replace status code assertions with httpx codes for clarity * remove noqa comment and change argument name Co-authored-by: Christophe Bornet <cbornet@hotmail.com> * refactor: streamline event polling logic in get_flow_events_response * refactor: use getattr for safer session attribute access Co-author: @cbornet * feat: add is_started method to JobQueueService * refactor: modify JobQueueService start method and main.py queue service initialization * feat: add ready state and teardown method to JobQueueService * refactor: simplify job queue cleanup logic in JobQueueService * refactor: improve error logging in active_user fixture * refactor: improve AnyIO task management with TaskGroup and CancelScope * refactor: Implement LimitedBackgroundTasks for controlled vertex build logging (#6312) * feat: implement LimitedBackgroundTasks for controlled vertex build logging * refactor: replace BackgroundTasks with LimitedBackgroundTasks in build_flow endpoint * refactor: improve task cancellation error handling in JobQueueService * refactor: Rename LimitedBackgroundTasks to LimitVertexBuildBackgroundTasks * feat: Add EventDeliveryType enum for event delivery methods * feat: Add polling constants for endpoint and streaming status * refactor: Update buildFlowVerticesWithFallback to use polling constants * refactor: Update event delivery handling to use EventDeliveryType enum * [autofix.ci] apply automated fixes * fix: Improve error handling for cancelled build tasks Refactor generate_flow_events to properly handle and propagate CancelledError - Remove unnecessary task creation and manual cancellation - Directly await _build_vertex instead of creating a separate task - Improve exception logging for cancelled tasks - Ensure CancelledError is raised instead of being silently handled * fix: trigger event_manager.on_end after error handling in generate_flow_events --------- Co-authored-by: Christophe Bornet <cbornet@hotmail.com> Co-authored-by: anovazzi1 <otavio2204@gmail.com> Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.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 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.