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Main changes made: - Add top level horizontal tabs - Reorganize the sidenav - Build out README/index page - Consolidate how-tos under each section - Remove duplicate content --------- Signed-off-by: William Fu-Hinthorn <13333726+hinthornw@users.noreply.github.com> Co-authored-by: Tat Dat Duong <david@duong.cz> Co-authored-by: Sydney Runkle <sydneymarierunkle@gmail.com> Co-authored-by: William Fu-Hinthorn <13333726+hinthornw@users.noreply.github.com> Co-authored-by: Vadym Barda <vadym@langchain.dev> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: ccurme <chester.curme@gmail.com> Co-authored-by: Andrew Nguonly <andrewnguonly@users.noreply.github.com> Co-authored-by: David Asamu <david.asamu@langchain.dev> Co-authored-by: infra <mukil@langchain.dev> Co-authored-by: Arjun Natarajan <arjun@langchain.dev>
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LangGraph CLI
LangGraph CLI is a multi-platform command-line tool for building and running the LangGraph API server locally. The resulting server includes all API endpoints for your graph's runs, threads, assistants, etc. as well as the other services required to run your agent, including a managed database for checkpointing and storage.
Installation
The LangGraph CLI can be installed via pip:
=== "pip"
bash pip install langgraph-cli
Commands
LangGraph CLI provides the following core functionality:
| Command | Description |
|---|---|
langgraph build |
Builds a Docker image for the LangGraph API server that can be directly deployed. |
langgraph dev |
Starts a lightweight development server that requires no Docker installation. This server is ideal for rapid development and testing. This is available in version 0.1.55 and up. |
langgraph dockerfile |
Generates a Dockerfile that can be used to build images for and deploy instances of the LangGraph API server. This is useful if you want to further customize the dockerfile or deploy in a more custom way. |
langgraph up |
Starts an instance of the LangGraph API server locally in a docker container. This requires the docker server to be running locally. It also requires a LangSmith API key for local development or a license key for production use. |
For more information, see the LangGraph CLI Reference.