23874b81ed* feat: Add new API endpoint for retrieving vertex order This commit adds a new API endpoint, , which allows for retrieving the order of vertices in a graph. It includes the necessary functions and types to make the API request and process the response. This feature enhances the functionality of the application by providing the ability to retrieve and work with vertex order data. * feat: Add missing semicolon in constants.ts The commit adds a missing semicolon in the file in the directory. This fix ensures that the code is syntactically correct and prevents any potential issues that may arise from the missing semicolon. * feat: Refactor usePostRetrieveVertexOrder to improve code readability and maintainability * feat: Add FreezeAllSvg component for displaying a freeze all icon This commit adds a new component called FreezeAllSvg, which is responsible for rendering an SVG icon representing the freeze all feature. The component accepts props for customizing the size and color of the icon. This addition enhances the visual representation of the freeze all functionality in the application. * feat: Add freezeMultipleNodes method to FlowStoreType This commit adds the `freezeMultipleNodes` method to the `FlowStoreType` interface in the `index.ts` file. The method takes an array of node IDs as input and freezes the corresponding nodes in the flow. This addition enhances the functionality of the flow store by providing the ability to freeze multiple nodes at once. * feat: Update freezeMultipleNodes to use updateFreezeStatus and updateNodeInternals Refactor the NodeToolbarComponent to use the updated freezeMultipleNodes method in the FlowStore. Instead of directly freezing the nodes, the method now calls updateFreezeStatus to update the freeze status of the nodes and updateNodeInternals to update the node internals. This change improves the functionality and maintainability of the code. * feat: Update FreezeAllSvg component to use currentColor for fill The commit updates the FreezeAllSvg component to use the CSS `currentColor` value for the fill property. This change ensures that the fill color of the SVG icon will match the current text color, providing a consistent and customizable visual representation of the freeze all feature. * feat: Add freezeAll shortcut and component This commit adds the `freezeAll` shortcut and component to the application. The `freezeAll` shortcut allows users to freeze all nodes in the flow at once, while the `FreezeAllSvg` component is responsible for rendering an SVG icon representing the freeze all feature. These additions enhance the functionality and user experience of the application by providing a convenient way to freeze multiple nodes and a visual representation of the freeze all feature. * [autofix.ci] apply automated fixes * feat: Refactor get_vertex method to include silent parameter This commit refactors the `get_vertex` method in the `Graph` class to include a `silent` parameter. The `silent` parameter allows the method to be called without raising an exception if the vertex is not found. This change improves the flexibility and usability of the method, as it can now be used in scenarios where the absence of a vertex is expected. * feat: check if parent vertex is frozen and cache children * feat: change ungroup_node function to add frozen status to nodes This commit refactors the `ungroup_node` function in the `utils.py` file to add the `frozen` status to each node in the list of nodes. The `frozen` status is obtained from the `group_node_data` parameter and is assigned to each node in the loop. This change improves the functionality and maintainability of the code by ensuring that the frozen status is correctly applied to the nodes during the ungrouping process. * Refactor code to check if parent vertex is frozen before caching children * feat: Rename "Freeze All" to "Freeze Path" in shortcuts and components This commit updates the codebase to rename the "Freeze All" feature to "Freeze Path" in the shortcuts and components. The changes include modifying the constant name, updating the shortcut key, and adjusting the component names and labels. This renaming improves the clarity and accuracy of the feature, aligning it with its intended functionality of freezing a specific path in the flow. * [autofix.ci] apply automated fixes * fix: refactor get_vertex method to handle silent parameter * fix(base.py): remove unnecessary silent parameter in get_vertex method and remove conditional check for silent parameter in get_vertex method to simplify code and improve readability * Added new freezeAll icon --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> Co-authored-by: Lucas Oliveira <lucas.edu.oli@hotmail.com> |
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| .vscode | ||
| deploy | ||
| docker | ||
| docker_example | ||
| docs | ||
| scripts | ||
| src | ||
| tests | ||
| .env.example | ||
| .eslintrc.json | ||
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| CODE_OF_CONDUCT.md | ||
| CONTRIBUTING.md | ||
| eslint.config.js | ||
| LICENSE | ||
| Makefile | ||
| poetry.lock | ||
| pyproject.toml | ||
| README.md | ||
| README.PT.md | ||
| README.zh_CN.md | ||
| render.yaml | ||
Langflow 1.0 is OUT! 🎉
Read all about it here!
A visual framework for building multi-agent and RAG applications
Open-source, Python-powered, fully customizable, LLM and vector store agnostic
Docs - Join our Discord - Follow us on X - Live demo
📝 Content
- 📝 Content
- 📦 Get Started
- 🎨 Create Flows
- Deploy
- 🖥️ Command Line Interface (CLI)
- 👋 Contribute
- 🌟 Contributors
- 📄 License
📦 Get Started
You can install Langflow with pip:
# Make sure you have >=Python 3.10 installed on your system.
python -m pip install langflow -U
Or
If you would like to install from your cloned repo, you can build and install Langflow's frontend and backend with:
make install_frontend && make build_frontend && make install_backend
Then, run Langflow with:
python -m langflow run
🎨 Create Flows
Creating flows with Langflow is easy. Simply drag components from the sidebar onto the workspace and connect them to start building your application.
Explore by editing prompt parameters, grouping components into a single high-level component, and building your own Custom Components.
Once you’re done, you can export your flow as a JSON file.
Load the flow with:
from langflow.load import run_flow_from_json
results = run_flow_from_json("path/to/flow.json", input_value="Hello, World!")
Deploy
DataStax Langflow
DataStax Langflow is a hosted version of Langflow integrated with AstraDB. Be up and running in minutes with no installation or setup required. Sign up for free.
Deploy Langflow on Hugging Face Spaces
You can also preview Langflow in HuggingFace Spaces. Clone the space using this link to create your own Langflow workspace in minutes.
Deploy Langflow on Google Cloud Platform
Follow our step-by-step guide to deploy Langflow on Google Cloud Platform (GCP) using Google Cloud Shell. The guide is available in the Langflow in Google Cloud Platform document.
Alternatively, click the "Open in Cloud Shell" button below to launch Google Cloud Shell, clone the Langflow repository, and start an interactive tutorial that will guide you through the process of setting up the necessary resources and deploying Langflow on your GCP project.
Deploy on Railway
Use this template to deploy Langflow 1.0 on Railway:
Deploy on Render
Deploy on Kubernetes
Follow our step-by-step guide to deploy Langflow on Kubernetes.
🖥️ Command Line Interface (CLI)
Langflow provides a command-line interface (CLI) for easy management and configuration.
Usage
You can run the Langflow using the following command:
langflow run [OPTIONS]
Each option is detailed below:
--help: Displays all available options.--host: Defines the host to bind the server to. Can be set using theLANGFLOW_HOSTenvironment variable. The default is127.0.0.1.--workers: Sets the number of worker processes. Can be set using theLANGFLOW_WORKERSenvironment variable. The default is1.--timeout: Sets the worker timeout in seconds. The default is60.--port: Sets the port to listen on. Can be set using theLANGFLOW_PORTenvironment variable. The default is7860.--env-file: Specifies the path to the .env file containing environment variables. The default is.env.--log-level: Defines the logging level. Can be set using theLANGFLOW_LOG_LEVELenvironment variable. The default iscritical.--components-path: Specifies the path to the directory containing custom components. Can be set using theLANGFLOW_COMPONENTS_PATHenvironment variable. The default islangflow/components.--log-file: Specifies the path to the log file. Can be set using theLANGFLOW_LOG_FILEenvironment variable. The default islogs/langflow.log.--cache: Selects the type of cache to use. Options areInMemoryCacheandSQLiteCache. Can be set using theLANGFLOW_LANGCHAIN_CACHEenvironment variable. The default isSQLiteCache.--dev/--no-dev: Toggles the development mode. The default isno-dev.--path: Specifies the path to the frontend directory containing build files. This option is for development purposes only. Can be set using theLANGFLOW_FRONTEND_PATHenvironment variable.--open-browser/--no-open-browser: Toggles the option to open the browser after starting the server. Can be set using theLANGFLOW_OPEN_BROWSERenvironment variable. The default isopen-browser.--remove-api-keys/--no-remove-api-keys: Toggles the option to remove API keys from the projects saved in the database. Can be set using theLANGFLOW_REMOVE_API_KEYSenvironment variable. The default isno-remove-api-keys.--install-completion [bash|zsh|fish|powershell|pwsh]: Installs completion for the specified shell.--show-completion [bash|zsh|fish|powershell|pwsh]: Shows completion for the specified shell, allowing you to copy it or customize the installation.--backend-only: This parameter, with a default value ofFalse, allows running only the backend server without the frontend. It can also be set using theLANGFLOW_BACKEND_ONLYenvironment variable.--store: This parameter, with a default value ofTrue, enables the store features, use--no-storeto deactivate it. It can be configured using theLANGFLOW_STOREenvironment variable.
These parameters are important for users who need to customize the behavior of Langflow, especially in development or specialized deployment scenarios.
Environment Variables
You can configure many of the CLI options using environment variables. These can be exported in your operating system or added to a .env file and loaded using the --env-file option.
A sample .env file named .env.example is included with the project. Copy this file to a new file named .env and replace the example values with your actual settings. If you're setting values in both your OS and the .env file, the .env settings will take precedence.
👋 Contribute
We welcome contributions from developers of all levels to our open-source project on GitHub. If you'd like to contribute, please check our contributing guidelines and help make Langflow more accessible.
🌟 Contributors
📄 License
Langflow is released under the MIT License. See the LICENSE file for details.