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docs/docs/cloud/deployment/setup.md
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# How to Set Up a LangGraph Application for Deployment
A LangGraph application must be configured with a [LangGraph API configuration file](../reference/cli.md#configuration-file) in order to be deployed to LangGraph Cloud (or to be self-hosted). This how-to guide discusses the basic steps to setup a LangGraph application for deployment using `requirements.txt` to specify project dependencies. If you prefer using poetry for dependency management, check out [this how-to guide](./setup_pyproject.md) on using `pyproject.toml` for LangGraph Cloud.
A LangGraph application must be configured with a [LangGraph API configuration file](../reference/cli.md#configuration-file) in order to be deployed to LangGraph Cloud (or to be self-hosted). This how-to guide discusses the basic steps to setup a LangGraph application for deployment using `requirements.txt` to specify project dependencies.
!!! tip "Setup with pyproject.toml"
If you prefer using poetry for dependency management, check out [this how-to guide](./setup_pyproject.md) on using `pyproject.toml` for LangGraph Cloud.
The final repo structure will look something like this:
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|-- langgraph.json # configuration file for LangGraph
```
## Upload to GitHub
To deploy the LangGraph application to LangGraph Cloud, the code must be uploaded to a GitHub repository.
## Next
After you setup your repo, it's time to [deploy your app](./cloud.md).
After you setup your project and place it in a github repo, it's time to [deploy your app](./cloud.md).