Files
langgraph/docs/docs/cloud/reference/cli.md
T
ab54ae2c23 Harrison/tutorial (#820)
* first draft edits (#818)

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>

* cr

* cr

---------

Co-authored-by: Isaac Francisco <78627776+isahers1@users.noreply.github.com>
2024-06-25 20:46:01 -07:00

5.3 KiB

LangGraph CLI

The LangGraph CLI includes commands to build and run a LangGraph Cloud API server locally in Docker. For development and testing, use the CLI to deploy a local API server.

Installation

  1. Ensure that Docker is installed (e.g. docker --version).
  2. Install the langgraph-cli Python package (e.g. pip install langgraph-cli).
  3. Run the command langgraph --help to confirm that the CLI is installed.

Configuration File

The LangGraph CLI requires a JSON configuration file with the following keys:

Key Description
dependencies Required. Array of dependencies for LangGraph Cloud API server. Dependencies can be one of the following: (1) ".", which will look for local Python packages, (2) pyproject.toml, setup.py or requirements.txt in the app directory "./local_package", or (3) a package name.
graphs Required. Mapping from graph ID to path where the compiled graph is defined. Example: ./your_package/your_file.py:variable, where variable is an instance of langgraph.graph.graph.CompiledGraph.
env Path to .env file or a mapping from environment variable to its value.
python_version 3.11 or 3.12. Defaults to 3.11.
pip_config_file Path to pip config file.
dockerfile_lines Array of additional lines to add to Dockerfile following the import from parent image.

Note

The LangGraph CLI defaults to using the configuration file langgraph.json in the current directory.

Example:

{
    "dependencies": [
        "langchain_openai",
        "./your_package"
    ],
    "graphs": {
        "my_graph_id": "./your_package/your_file.py:variable"
    },
    "env": "./.env"
}

Example:

{
    "python_version": "3.11",
    "dependencies": [
        "langchain_openai",
        "."
    ],
    "graphs": {
        "my_graph_id": "./your_package/your_file.py:variable"
    },
    "env": {
        "OPENAI_API_KEY": "secret-key"
    }
}

Commands

The base command for the LangGraph CLI is langgraph.

Usage

langgraph [OPTIONS] COMMAND [ARGS]

build

Build LangGraph Cloud API server Docker image.

Usage

langgraph build [OPTIONS]

Options

Option Default Description
--platform TEXT Target platform(s) to build the Docker image for. Example: langgraph build --platform linux/amd64,linux/arm64
-t, --tag TEXT Required. Tag for the Docker image. Example: langgraph build -t my-image
--pull / --no-pull --pull Build with latest remote Docker image. Use --no-pull for running the LangGraph Cloud API server with locally built images.
-c, --config FILE langgraph.json Path to configuration file declaring dependencies, graphs and environment variables.
--help Display command documentation.

down

Stop LangGraph Cloud API server.

Usage

langgraph down [OPTIONS]

Options

Option Default Description
--debugger-port INTEGER Pull the debugger image locally and serve the UI on specified port.
--verbose Show more output from the server logs.
-c, --config FILE langgraph.json Path to configuration file declaring dependencies, graphs and environment variables.
-d, --docker-compose FILE Advanced. Path to docker-compose.yml file with additional services to launch.
-p, --port INTEGER 8123 Port to expose. Example: langgraph up --port 8000
--help Display command documentation.

logs

Show LangGraph Cloud API server logs.

Usage

langgraph logs [OPTIONS]

Options

Option Default Description
-f, --follow Follow logs.
-c, --config FILE langgraph.json Path to configuration file declaring dependencies, graphs and environment variables.
-d, --docker-compose FILE Advanced. Path to docker-compose.yml file with additional services to launch.
--help Display command documentation.

up

Start LangGraph Cloud API server.

Usage

langgraph up [OPTIONS]

Options

Option Default Description
--wait Wait for services to start before returning. Implies --detach.
--watch Restart on file changes.
--debugger-port INTEGER Pull the debugger image locally and serve the UI on specified port.
--verbose Show more output from the server logs.
-c, --config FILE langgraph.json Path to configuration file declaring dependencies, graphs and environment variables.
-d, --docker-compose FILE Advanced. Path to docker-compose.yml file with additional services to launch.
-p, --port INTEGER 8123 Port to expose. Example: langgraph up --port 8000
--pull / --no-pull --pull Build with latest remote Docker image. Use --no-pull for running the LangGraph Cloud API server with locally built images.
--recreate / --no-recreate --no-recreate Recreate containers even if their configuration and image haven't changed.
--help Display command documentation.