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<!-- Replace everything above this line with a 1-2 sentence description of your change. Keep the "Fixes #xx" keyword and update the issue number. --> - Add a property to revisions table metadata column for Google ADK version - This helps us track the deployments that use Google ADK - Similar to this PR: https://github.com/langchain-ai/langchainplus/pull/22087 Read the full contributing guidelines: https://docs.langchain.com/oss/python/contributing/overview > **All contributions must be in English.** See the [language policy](https://docs.langchain.com/oss/python/contributing/overview#language-policy). If you paste a large clearly AI generated description here your PR may be IGNORED or CLOSED! Thank you for contributing to LangGraph! Follow these steps to have your pull request considered as ready for review. 1. PR title: Should follow the format: TYPE(SCOPE): DESCRIPTION - feat(langgraph): add multi-tenant support - Allowed TYPE and SCOPE values: https://github.com/langchain-ai/langgraph/blob/main/.github/workflows/pr_lint.yml#L19-L43 2. PR description: - Write 1-2 sentences summarizing the change. - The `Fixes #xx` line at the top is **required** for external contributions — update the issue number and keep the keyword. This links your PR to the approved issue and auto-closes it on merge. - If there are any breaking changes, please clearly describe them. - If this PR depends on another PR being merged first, please include "Depends on #PR_NUMBER" in the description. 3. Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. - We will not consider a PR unless these three are passing in CI. 4. How did you verify your code works? Additional guidelines: - All external PRs must link to an issue or discussion where a solution has been approved by a maintainer, and you must be assigned to that issue. PRs without prior approval will be closed. - PRs should not touch more than one package unless absolutely necessary. - Do not update the `uv.lock` files or add dependencies to `pyproject.toml` files (even optional ones) unless you have explicit permission to do so by a maintainer. ## Social handles (optional) <!-- If you'd like a shoutout on release, add your socials below --> Twitter: @ LinkedIn: https://linkedin.com/in/
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:
- Clone the repository
- Navigate to the CLI directory:
cd libs/cli - Install development dependencies:
uv pip install - Make your changes to the CLI code
- 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.