Files
langgraph/libs/cli
Elior Nataf LackritzandGitHub f22af6248c chore: enable RUF100 and clear unused noqa directives (#8546)
Follow-up to review on #8540, where a stale `# noqa: E402` slipped past
me and Sydney spotted it by eye. This turns on the rule that catches
that automatically.

`RUF100` flags a `noqa` that suppresses nothing. `sdk-py` already had it
through its blanket `RUF` selection; this adds it to the other seven
packages and clears what it finds.

### The 33 it flags, all autofixed

**Blanket `# noqa` on docstring-closing lines** (4, in
`checkpoint-postgres` and `checkpoint-sqlite`). `E501` is in
`lint.ignore` for those packages, so nothing was being suppressed:

```diff
-        """  # noqa
+        """
```

**`# noqa: F821` on `anext(aiter_)`** (2). Left over from Python 3.9
support. `anext` became a builtin in 3.10, which is the floor now, so
`F821` no longer fires:

```diff
-                    anext(aiter_),  # type: ignore[arg-type]  # noqa: F821
+                    anext(aiter_),  # type: ignore[arg-type]
```

**Suppressions naming rules the package does not enable** (27), across
`langgraph`, `prebuilt` and `checkpoint-sqlite`: `FBT001`, `FBT002`,
`TC002`, `BLE001`, `ANN001`, `ANN002`, `ANN003`, `E501`, `F401`. Mostly
copied between packages whose rule sets differ.

### One measurement note

If you check these numbers yourself, use `--extend-select`:

```
ruff check --select RUF100 .          # 81, misleading
ruff check --extend-select RUF100 .   # 33, real
```

With a bare `--select`, ruff treats every other rule as disabled, so
every suppression for another rule looks unused. I quoted 81 before
catching that.

### Verified

`checkpoint-sqlite` 118 passed, `prebuilt` 284 passed, `langgraph` 1968
passed, `checkpoint-postgres` 264 passed on PG 15 and 16. `make lint`
clean in every package.

Independent of #8540 and #8537, so it can land in any order.
2026-08-06 17:38:31 -04:00
..
2026-04-07 17:17:54 -07:00
2026-06-16 12:43:04 -07:00

LangGraph CLI

PyPI - Version PyPI - License PyPI - Downloads Twitter

To help you ship LangGraph apps to production faster, check out LangSmith. LangSmith is a unified developer platform for building, testing, and monitoring LLM applications.

Quick Install

uv add langgraph-cli

🤔 What is this?

The LangGraph CLI is the official command-line interface for LangGraph. It provides tools to create, develop, build, and run LangGraph applications locally or in Docker.

📖 Documentation

For full documentation, see the LangGraph CLI reference. For conceptual guides and tutorials, see the LangGraph Docs.

For development mode with hot reloading:

uv add "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"],
  "graphs": {
    "my_graph": "./your_package/file.py:graph"
  },
  "env": "./.env",
  "python_version": "3.11",
  "pip_config_file": "./pip.conf",
  "dockerfile_lines": []
}

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 sync
  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 sync
uv run langgraph dev  # or other commands

📕 Releases & Versioning

See our Releases and Versioning policies.

💁 Contributing

As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.

For detailed information on how to contribute, see the Contributing Guide.