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[Docs] Add pyproject how-to for langgraph cloud repo structuring (#856)
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# How to Set Up a LangGraph Application for Deployment
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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.
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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.
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The final repo structure will look something like this:
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```bash
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my-app/
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|-- requirements.txt # package dependencies
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|-- .env # environment variables
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|-- openai_agent.py # code for an agent
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|-- anthropic_agent.py # code for another agent
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|-- langgraph.json # configuration file for LangGraph
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```
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After each step, an example file directory is provided to demonstrate how code can be organized.
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## Specify Dependencies
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Dependencies can optionally be specified in one of the following files: `pyproject.toml`, `setup.py`, or `requirements.txt`. If neither of these files is created, then dependencies can be specified later in the [LangGraph API configuration file](#create-langgraph-api-config).
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Dependencies can optionally be specified in one of the following files: `pyproject.toml`, `setup.py`, or `requirements.txt`. If none of these files is created, then dependencies can be specified later in the [LangGraph API configuration file](#create-langgraph-api-config).
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Example `requirements.txt` file:
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```
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Note that the variable name of the `CompiledGraph` appears at the end of the value of each subkey in the top-level `graphs` key (i.e. `:<variable_name>`).
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Example file directory:
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```
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```bash
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my-app/
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|-- requirements.txt
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|-- .env
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## Upload to GitHub
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To deploy the LangGraph application to LangGraph Cloud, the code must be uploaded to a GitHub repository.
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## Next
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After you setup your repo, it's time to [deploy your app](./cloud.md).
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