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langgraph-cli
Advanced tools
The official command-line interface for LangGraph, providing tools to create, develop, and deploy LangGraph applications.
Install via pip:
pip install langgraph-cli
For development mode with hot reloading:
pip install "langgraph-cli[inmem]"
langgraph new 🌱Create a new LangGraph project from a template
langgraph new [PATH] --template TEMPLATE_NAME
langgraph dev 🏃♀️Run LangGraph API server in development mode with hot reloading
langgraph dev [OPTIONS]
--host TEXT Host to bind to (default: 127.0.0.1)
--port INTEGER Port to bind to (default: 2024)
--no-reload Disable auto-reload
--debug-port INTEGER Enable remote debugging
--no-browser Skip opening browser window
-c, --config FILE Config file path (default: langgraph.json)
langgraph up 🚀Launch LangGraph API server in Docker
langgraph up [OPTIONS]
-p, --port INTEGER Port to expose (default: 8123)
--wait Wait for services to start
--watch Restart on file changes
--verbose Show detailed logs
-c, --config FILE Config file path
-d, --docker-compose Additional services file
langgraph buildBuild a Docker image for your LangGraph application
langgraph build -t IMAGE_TAG [OPTIONS]
--platform TEXT Target platforms (e.g., linux/amd64,linux/arm64)
--pull / --no-pull Use latest/local base image
-c, --config FILE Config file path
langgraph dockerfileGenerate a Dockerfile for custom deployments
langgraph dockerfile SAVE_PATH [OPTIONS]
-c, --config FILE Config file path
The CLI uses a langgraph.json configuration file with these key settings:
{
"dependencies": ["langchain_openai", "./your_package"], // Required: Package dependencies
"graphs": {
"my_graph": "./your_package/file.py:graph" // Required: Graph definitions
},
"env": "./.env", // Optional: Environment variables
"python_version": "3.11", // Optional: Python version (3.11/3.12)
"pip_config_file": "./pip.conf", // Optional: pip configuration
"dockerfile_lines": [] // Optional: Additional Dockerfile commands
}
See the full documentation for detailed configuration options.
To develop the CLI itself:
cd libs/cliuv pip install# Run CLI commands directly
uv run langgraph --help
# Or use the examples
cd examples
uv pip install
uv run langgraph dev # or other commands
This project is licensed under the terms specified in the repository's LICENSE file.
FAQs
CLI for interacting with LangGraph API
We found that langgraph-cli demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 3 open source maintainers collaborating on the project.
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Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

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