Langgraph CLI

# Python
pip install 'langgraph-cli[inmem]'   # includes langgraph dev support
pip install langgraph-cli             # without dev server (build/up/deploy only)

# if using UV as package manager
uv add "langgraph-cli[inmem]"       # includes langgraph dev support
uv add langgraph-cli                # without dev server (build/up/deploy only)

# JavaScript
npx @langchain/langgraph-cli         # use on demand
npm install -g @langchain/langgraph-cli  # install globally (available as langgraphjs)

langgraph new                          # interactive template selection
langgraph new ./my-agent               # create in specific directory
langgraph new --template agent-python  # skip prompt, use template directly

langgraph dev                              # default: localhost:2024
langgraph dev --port 8000                  # custom port
langgraph dev --config ./langgraph.json    # explicit config path
langgraph dev --no-reload                  # disable hot reload
langgraph dev --no-browser                 # don't auto-open LangGraph Studio
langgraph dev --host 0.0.0.0              # bind to all interfaces (trusted networks only)
langgraph dev --tunnel                     # expose via Cloudflare tunnel for remote access
langgraph dev --debug-port 5678            # enable remote debugger (requires debugpy)
langgraph dev --n-jobs-per-worker 20       # max concurrent jobs per worker (default: 10)

langgraph build -t my-image                # required: tag the image
langgraph build -t my-image --no-pull      # use locally-built base images
langgraph build -t my-image -c langgraph.json  # explicit config
langgraph build -t my-image --base-image langchain/langgraph-server:0.2.18  # pin base version

langgraph up                               # default port 8123
langgraph up --port 8000                   # custom port
langgraph up --watch                       # restart on file changes
langgraph up --recreate                    # force fresh build (useful for pre-deploy validation)
langgraph up --postgres-uri postgresql://...  # external Postgres
langgraph up --no-pull                     # use local images (after langgraph build)
langgraph up --image my-image              # skip build, use pre-built image
langgraph up -d docker-compose.yml         # add extra Docker services
langgraph up --debugger-port 8124          # serve debugger UI
langgraph up --wait                        # block until services are healthy

langgraph deploy                           # deploy, name defaults to directory name
langgraph deploy --name my-agent           # explicit deployment name
langgraph deploy --deployment-type prod    # production deployment (default: dev)
langgraph deploy --tag v1.2.0              # custom image tag (default: latest)
langgraph deploy --deployment-id <id>      # update an existing deployment by ID
langgraph deploy --config ./langgraph.json # explicit config path
langgraph deploy --no-wait                 # don't wait for deployment status
langgraph deploy --verbose                 # show detailed server logs

langgraph deploy list                      # list all deployments
langgraph deploy list --name-contains bot  # filter by name

langgraph deploy delete <deployment-id>          # interactive confirmation
langgraph deploy delete <deployment-id> --force  # skip confirmation

langgraph deploy logs                                  # runtime logs, last 100
langgraph deploy logs --name my-agent                  # by deployment name
langgraph deploy logs --deployment-id <id>             # by deployment ID
langgraph deploy logs --type build                     # build logs instead of runtime
langgraph deploy logs -f                               # follow/stream logs
langgraph deploy logs --level error                    # filter by level (debug|info|warning|error|critical)
langgraph deploy logs -q "timeout"                     # search filter
langgraph deploy logs --limit 500                      # more entries
langgraph deploy logs --start-time 2026-03-08T00:00:00Z  # time range

langgraph dockerfile ./Dockerfile                      # generate Dockerfile
langgraph dockerfile ./Dockerfile --add-docker-compose # also generate compose + .env + .dockerignore

{
    "dependencies": ["."],
    "graphs": {
        "agent": "./my_agent/agent.py:graph"
    },
    "env": "./.env"
}

{
    "dependencies": ["."],
    "graphs": {
        "agent": "./src/agent.js:graph"
    },
    "env": "./.env"
}

{
    "dependencies": [".", "langchain_openai", "./local_package"],
    "graphs": {
        "agent": "./my_agent/agent.py:graph",
        "retriever": "./my_agent/rag.py:rag_graph"
    },
    "env": "./.env",
    "python_version": "3.12",
    "pip_config_file": "./pip.conf",
    "dockerfile_lines": [
        "RUN apt-get update && apt-get install -y ffmpeg"
    ]
}