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docs: fix indents for the markdown callouts (#1644)
* docs: fix indents for the markdown callouts
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@@ -5,10 +5,10 @@ A LangGraph application must be configured with a [LangGraph API configuration f
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This walkthrough is based on [this repository](https://github.com/langchain-ai/langgraph-example), which you can play around with to learn more about how to setup your LangGraph application for deployment.
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!!! tip "Setup with pyproject.toml"
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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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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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!!! tip "Setup with a Monorepo"
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If you are interested in deploying a graph located inside a monorepo, take a look at [this](https://github.com/langchain-ai/langgraph-example-monorepo) repository for an example of how to do so.
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If you are interested in deploying a graph located inside a monorepo, take a look at [this](https://github.com/langchain-ai/langgraph-example-monorepo) repository for an example of how to do so.
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The final repo structure will look something like this:
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@@ -129,7 +129,7 @@ graph = workflow.compile()
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```
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!!! warning "Assign `CompiledGraph` to Variable"
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The build process for LangGraph Cloud requires that the `CompiledGraph` object be assigned to a variable at the top-level of a Python module (alternatively, you can provide [a function that creates a graph](./graph_rebuild.md)).
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The build process for LangGraph Cloud requires that the `CompiledGraph` object be assigned to a variable at the top-level of a Python module (alternatively, you can provide [a function that creates a graph](./graph_rebuild.md)).
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Example file directory:
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@@ -166,7 +166,7 @@ Example `langgraph.json` file:
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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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!!! warning "Configuration Location"
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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.
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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.
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Example file directory:
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@@ -5,7 +5,7 @@ A LangGraph application must be configured with a [LangGraph API configuration f
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This walkthrough is based on [this repository](https://github.com/langchain-ai/langgraph-example-pyproject), which you can play around with to learn more about how to setup your LangGraph application for deployment.
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!!! tip "Setup with requirements.txt"
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If you prefer using `requirements.txt` for dependency management, check out [this how-to guide](./setup.md).
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If you prefer using `requirements.txt` for dependency management, check out [this how-to guide](./setup.md).
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!!! tip "Setup with a Monorepo"
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If you are interested in deploying a graph located inside a monorepo, take a look at [this](https://github.com/langchain-ai/langgraph-example-monorepo) repository for an example of how to do so.
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