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* fix: update assistants client import (#4150) * remove unnecessary patch * remove unnecessary patch * compatible release operator * chore: add opensearch-py dependency (#4134) Add opensearch-py dependency to pyproject.toml * patch version * lock * lock some packages to speed up pip install * langflow-base version * fix: fix retrieverTool component (#4201) ♻️ (RetrieverTool.py): refactor build method signature to accept additional keyword arguments for future extensibility * Fixed save modal not exiting * fix: object has no attribute 'set_event_manager' (#4200) * 🐛 (base.py): fix AttributeError by checking if custom_component has set_event_manager method before calling it * 📝 (base.py): Import Component from langflow.custom to improve code readability and maintainability ♻️ (base.py): Refactor code to use isinstance() method for checking if custom_component is an instance of Component * Refactor: Eliminate Global Variables for Improved Code Maintainability_fix_release (#4208) Refactor: Eliminate Global Variables for Improved Code Maintainability - Replaced global variables with local variables or class attributes. - Enhanced code readability and reduced potential side effects. * fix: Update example (#4204) update example * fix: avoids error NameError: name 'MAX_NUMBER_OF_FIELDS' is not defin… (#4203) fix: avoids error NameError: name 'MAX_NUMBER_OF_FIELDS' is not defined and fixes build method Co-authored-by: Edwin Jose <edwin.jose@datastax.com> * fix: unexpected keyword argument 'code' -> SQLExecutor and SQLDatabase (#4230) 🔧 (SQLDatabase.py): update build method signature to accept additional keyword arguments for future extensibility 🔧 (SQLExecutor.py): update method signature to accept additional keyword arguments for future extensibility * lock httptools to 0.6.4 * Move ChatInput import to within flow_component fixture in conftest.py * Simplify error message formatting in test cases for data components * Add readme to dockerfile * build: dockerfile with entrypoint (#4062) Adds a dockerfile with an entrypoint for use with Datastax Langflow * fixes the leading v for checking out commits correctly * fixes on more version checkout for docker build * ✨ (authContext.tsx): Add functionality to fetch global variables on authentication 🔧 (api.tsx): Replace universal-cookie import with react-cookie for consistency 🔧 (authStore.ts): Replace universal-cookie import with react-cookie for consistency 🔧 (use-get-global-variables.ts): Add check to only fetch global variables if user is authenticated ✨ (use-get-mutation-global-variables.ts): Add mutation function to fetch and update global variables 🔧 (authStore.ts): Replace universal-cookie import with react-cookie for consistency * [autofix.ci] apply automated fixes * revert changes to workflows * upgrade lockfile * update pyproject versions * update lockfile again * ⬆️ (pyproject.toml): upgrade langflow-base dependency to version 0.0.99 * ⬆️ (pyproject.toml): downgrade version from 0.0.99 to 0.0.97 to align with project requirements and dependencies. * ⬆️ (pyproject.toml): downgrade langflow-base dependency version from 0.0.99 to 0.0.97 to resolve compatibility issues * ⬆️ (uv.lock): downgrade langchain-core package version from 0.3.15 to 0.3.12 to resolve compatibility issues with dependencies * ⬆️ (pyproject.toml): upgrade langflow-base dependency to version 0.0.99 to utilize the latest features and improvements --------- Co-authored-by: Sebastián Estévez <estevezsebastian@gmail.com> Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> Co-authored-by: Lucas Oliveira <lucas.edu.oli@hotmail.com> Co-authored-by: Edwin Jose <edwin.jose@datastax.com> Co-authored-by: anovazzi1 <otavio2204@gmail.com> Co-authored-by: João <38133825+joaoguilhermeS@users.noreply.github.com> Co-authored-by: Jordan Frazier <jordan.frazier@datastax.com> Co-authored-by: Jordan Frazier <122494242+jordanrfrazier@users.noreply.github.com> Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
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.