Package: langflow
⛓️ LangflowDiscover a simpler & smarter way to build around Foundation ModelsThe easiest way to create and customize your flow📦 InstallationLocallyYou can install Langflow from pip:# This installs the package without dependencies for local modelspipinstalllangflowTo use local models (e.g llama-cpp-python) run:pipinstalllangflow[local]This will install the following dependencies:CTransformersllama-cpp-pythonsentence-transformersYou can still use models from projects like LocalAI, Ollama, LM Studio, Jan and others.Next, run:python-mlangfloworlangflowrun# or langflow --helpHuggingFace SpacesYou can also check it out onHuggingFace Spacesand run it in your browser! You can even clone it and have your own copy of Langflow to play with.🖥️ Command Line Interface (CLI)Langflow provides a command-line interface (CLI) for easy management and configuration.UsageYou can run the Langflow using the following command:langflowrun[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.--config: Defines the path to the configuration file. The default isconfig.yaml.--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 VariablesYou can configure many of the CLI options using environment variables. These can be exported in your operating system or added to a.envfile and loaded using the--env-fileoption.A sample.envfile named.env.exampleis included with the project. Copy this file to a new file named.envand replace the example values with your actual settings. If you're setting values in both your OS and the.envfile, the.envsettings will take precedence.DeploymentDeploy Langflow on Google Cloud PlatformFollow our step-by-step guide to deploy Langflow on Google Cloud Platform (GCP) using Google Cloud Shell. The guide is available in theLangflow in Google Cloud Platformdocument.Alternatively, click the"Open in Cloud Shell"button below to launch Google Cloud Shell, clone the Langflow repository, and start aninteractive tutorialthat will guide you through the process of setting up the necessary resources and deploying Langflow on your GCP project.Deploy on RailwayDeploy on Render🎨 Creating FlowsCreating flows with Langflow is easy. Simply drag components from the sidebar onto the canvas 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:fromlangflowimportload_flow_from_jsonflow=load_flow_from_json("path/to/flow.json")# Now you can use itflow("Hey, have you heard of Langflow?")👋 ContributingWe welcome contributions from developers of all levels to our open-source project on GitHub. If you'd like to contribute, please check ourcontributing guidelinesand help make Langflow more accessible.Join ourDiscordserver to ask questions, make suggestions, and showcase your projects! 🦾🌟 Contributors📄 LicenseLangflow is released under the MIT License. See the LICENSE file for details.