Files
langgraph/libs/cli
Parker J. RuleandGitHub fb531b2473 feat(cli): add configuration for server customization ordering (#6179)
This adds a configuration option in `HttpConfig` that allows LangGraph
Platform users to apply custom authentication hooks before (other)
custom middleware. Currently, the order is fixed (custom middleware is
always evaluated before custom auth).

(Apologies for the noise in
[de187a9](https://github.com/langchain-ai/langgraph/pull/6179/commits/de187a989e807c5687c22db1fc065d24030fa6b7),
apparently from the forced application of new linter rules.)
2025-09-22 11:17:24 -04:00
..
2025-08-26 12:59:12 +00:00
2025-05-15 17:39:14 -07:00

LangGraph CLI

The official command-line interface for LangGraph, providing tools to create, develop, and deploy LangGraph applications.

Installation

Install via pip:

pip install langgraph-cli

For development mode with hot reloading:

pip install "langgraph-cli[inmem]"

Commands

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 build

Build 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 dockerfile

Generate a Dockerfile for custom deployments

langgraph dockerfile SAVE_PATH [OPTIONS]
  -c, --config FILE       Config file path

Configuration

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.

Development

To develop the CLI itself:

  1. Clone the repository
  2. Navigate to the CLI directory: cd libs/cli
  3. Install development dependencies: uv pip install
  4. Make your changes to the CLI code
  5. Test your changes:
    # Run CLI commands directly
    uv run langgraph --help
    
    # Or use the examples
    cd examples
    uv pip install
    uv run langgraph dev  # or other commands
    

License

This project is licensed under the terms specified in the repository's LICENSE file.