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Add instructions to test locally before deploying to Cloud. (#1050)

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Andrew Nguonly
2024-07-17 14:04:15 -07:00
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docs/docs/cloud/deployment/cloud.md
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LangGraph Cloud is available within <a href="https://www.langchain.com/langsmith" target="_blank">LangSmith</a>. To deploy a LangGraph Cloud API, navigate to the <a href="https://smith.langchain.com/" target="_blank">LangSmith UI</a>.
## Setup GitHub Repository
## Prerequisites
LangGraph Cloud applications are deployed from GitHub repositories. Configure and upload a LangGraph Cloud application to a GitHub repository in order to deploy it to LangGraph Cloud.
1. LangGraph Cloud applications are deployed from GitHub repositories. Configure and upload a LangGraph Cloud application to a GitHub repository in order to deploy it to LangGraph Cloud.
1. [Verify that the LangGraph API runs locally](test_locally.md). If the API does not build and run successfully (i.e. `langgraph up`), deploying to LangGraph Cloud will fail as well.
## Create New Deployment
docs/docs/cloud/deployment/setup_pyproject.md
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```
!!! warning "Assign `CompiledGraph` to Variable"
The build process for LangGraph Cloud requires that the `CompiledGraph` object be assigned to a variable at the top-level of a Python module.
The build process for LangGraph Cloud requires that the `CompiledGraph` object be assigned to a variable at the top-level of a Python module.
Example file directory:
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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>`).
!!! warning "Configuration Location"
The LangGraph API configuration file must be placed in a directory that is at the same level or higher than the Python files that contain compiled graphs and associated dependencies.
Example file directory:
```bash
docs/docs/cloud/deployment/test_locally.md
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This guide assumes you have a LangGraph app correctly set up with a proper configuration file and a corresponding compiled graph, and that you have a proper LangChain API key.
Testing locally ensures that there are no errors or conflicts with Python dependencies and confirms that the configuration file is specified correctly.
## Setup
Install the proper packages: