diff --git a/docs/docs/cloud/deployment/setup.md b/docs/docs/cloud/deployment/setup.md
index 3b1acfad1..afd5d8c38 100644
--- a/docs/docs/cloud/deployment/setup.md
+++ b/docs/docs/cloud/deployment/setup.md
@@ -1,12 +1,23 @@
 # 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.
+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.
+
+The final repo structure will look something like this:
+
+```bash
+my-app/
+|-- requirements.txt    # package dependencies
+|-- .env                # environment variables
+|-- openai_agent.py     # code for an agent
+|-- anthropic_agent.py  # code for another agent
+|-- langgraph.json      # configuration file for LangGraph
+```
 
 After each step, an example file directory is provided to demonstrate how code can be organized.
 
 ## Specify Dependencies
 
-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).
+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).
 
 Example `requirements.txt` file:
 ```
@@ -91,7 +102,8 @@ Example `langgraph.json` file:
 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>`).
 
 Example file directory:
-```
+
+```bash
 my-app/
 |-- requirements.txt
 |-- .env
@@ -103,3 +115,7 @@ my-app/
 ## 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).
\ No newline at end of file
diff --git a/docs/docs/cloud/deployment/setup_pyproject.md b/docs/docs/cloud/deployment/setup_pyproject.md
new file mode 100644
index 000000000..c11bdc38c
--- /dev/null
+++ b/docs/docs/cloud/deployment/setup_pyproject.md
@@ -0,0 +1,154 @@
+# 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 `pyproject.toml` to define your package's dependencies. If you prefer using `requirements.txt` for dependency management, check out [this how-to guide](./setup.md).
+
+The final repo structure will look something like this:
+
+```bash
+my-app/
+├── my_agent # all project code lies within here
+│   ├── __init__.py
+│   └── agent.py # code for your graph
+│-- .env # environment variables
+│-- langgraph.json  # configuration file for LangGraph
+└── pyproject.toml # dependencies for your project
+```
+
+After each step, an example file directory is provided to demonstrate how code can be organized.
+
+## Specify Dependencies
+
+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).
+
+Example `pyproject.toml` file:
+
+```toml
+[tool.poetry]
+name = "my-agent"
+version = "0.0.1"
+description = "An excellent agent build for LangGraph cloud."
+authors = ["Polly the parrot <1223+polly@users.noreply.github.com>"]
+license = "MIT"
+readme = "README.md"
+
+[tool.poetry.dependencies]
+python = ">=3.9.0,<3.13"
+langgraph = "^0.1.0"
+langchain-fireworks = "^0.1.3"
+
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"
+```
+
+Example file directory:
+
+```bash
+my-app/
+├── my_agent
+│   ├── __init__.py
+│   └── agent.py
+└── pyproject.toml   # Python packages required for your graph
+```
+
+## Specify Environment Variables
+
+Environment variables can optionally be specified in a file (e.g. `.env`). See the [Environment Variables reference](../reference/env_var.md) to configure additional variables for a deployment.
+
+Example `.env` file:
+
+```
+MY_ENV_VAR_1=foo
+MY_ENV_VAR_2=bar
+FIREWORKS_API_KEY=key
+```
+
+Example file directory:
+
+```bash
+my-app/
+├── my_agent
+│   ├── __init__.py
+│   └── agent.py
+|-- .env             # file with environment variables
+└── pyproject.toml
+```
+
+## Define Graphs
+
+Implement your graphs! Graphs can be defined in a single file or multiple files. Make note of the variable names of each [CompiledGraph][compiledgraph] to be included in the LangGraph application. The variable names will be used later when creating the [LangGraph API configuration file](../reference/cli.md#configuration-file).
+
+Example `agent.py` file:
+
+```python
+# my_agent/agent.py
+from langchain_fireworks import ChatFireworks
+from langgraph.graph import END, StateGraph, add_messages
+from typing_extensions import TypedDict, Annotated
+
+model = ChatFireworks(model="accounts/fireworks/models/firefunction-v2", temperature=0)
+
+class State(TypedDict):
+    messages: Annotated[list, add_messages]
+
+graph_workflow = StateGraph(State)
+
+graph_workflow.add_node("agent", model)
+graph_workflow.add_edge("agent", END)
+graph_workflow.set_entry_point("agent")
+
+agent = graph_workflow.compile()
+```
+
+!!! 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.
+
+Example file directory:
+
+```bash
+my-app/
+├── my_agent
+│   ├── __init__.py
+│   └── agent.py # code for your graph
+|-- .env
+└── pyproject.toml
+```
+
+## Create LangGraph API Config
+
+Create a [LangGraph API configuration file](../reference/cli.md#configuration-file) called `langgraph.json`. See the [LangGraph CLI reference](../reference/cli.md#configuration-file) for detailed explanations of each key in the JSON object of the configuration file.
+
+Example `langgraph.json` file:
+
+```json
+{
+  "dependencies": ["."],
+  "graphs": {
+    "my_fantastic_agent": "./my_agent/agent.py:agent"
+  },
+  "env": "./.env"
+}
+```
+
+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>`).
+
+Example file directory:
+
+```bash
+my-app/
+├── my_agent
+│   ├── __init__.py
+│   └── agent.py # code for your graph
+│-- .env
+│-- langgraph.json      # configuration file for LangGraph
+└── pyproject.toml
+```
+
+## 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).
diff --git a/docs/mkdocs.yml b/docs/mkdocs.yml
index bfe575171..3e8c93051 100644
--- a/docs/mkdocs.yml
+++ b/docs/mkdocs.yml
@@ -175,6 +175,7 @@ nav:
           - "cloud/how-tos/index.md"
           - Deployment:
               - Setup App: "cloud/deployment/setup.md"
+              - Setup App (pyproject.toml): "cloud/deployment/setup_pyproject.md"
               - Deploy to Cloud: "cloud/deployment/cloud.md"
               - Self-Host: "cloud/deployment/self_hosted.md"
           - Streaming: