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[docs]: changing setup docs (#1285)

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Isaac Francisco
2024-08-09 10:07:39 -07:00
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docs/docs/cloud/deployment/setup.md
+80 -39
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@@ -2,6 +2,8 @@
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.
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.
!!! 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.
@@ -9,11 +11,17 @@ 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
├── my_agent # all project code lies within here
│ ├── utils # utilities for your graph
│ │ ├── __init__.py
│ │ ├── tools.py # tools for your graph
│ │ ├── nodes.py # node functions for you graph
│ │ └── state.py # state definition of your graph
│   ├── requirements.txt # package dependencies
│   ├── __init__.py
│   └── agent.py # code for constructing your graph
├── .env # environment variables
└── langgraph.json # configuration file for LangGraph
```
After each step, an example file directory is provided to demonstrate how code can be organized.
@@ -24,8 +32,8 @@ Dependencies can optionally be specified in one of the following files: `pyproje
The dependencies below will be included in the image, you can also use them in your code, as long as with a compatible version range:
```
langgraph>=0.1.19,<0.2.0
langchain-core>=0.2.8,<0.3.0
langgraph>=0.2.0,<0.3.0
langchain-core>=0.2.27,<0.3.0
langsmith>=0.1.63
orjson>=3.10.1
httpx>=0.27.0
@@ -36,18 +44,24 @@ uvloop>=0.19.0
httptools>=0.6.1
jsonschema-rs>=0.18.0
croniter>=1.0.1
structlog>=24.4.0
```
Example `requirements.txt` file:
```
langgraph
langchain_anthropic
tavily-python
langchain_community
langchain_openai
```
Example file directory:
```
```bash
my-app/
|-- requirements.txt # Python packages required for your graph
├── my_agent # all project code lies within here
│   └── requirements.txt # package dependencies
```
## Specify Environment Variables
@@ -62,42 +76,66 @@ OPENAI_API_KEY=key
```
Example file directory:
```
```bash
my-app/
|-- requirements.txt
|-- .env # file with environment variables
├── my_agent # all project code lies within here
│   └── requirements.txt # package dependencies
└── .env # environment variables
```
## 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 `openai_agent.py` file:
Example `agent.py` file, which shows how to import from other modules you define (code for the modules is not shown here, please see [this repo](https://github.com/langchain-ai/langgraph-example) to see their implementation):
```python
from langchain_openai import ChatOpenAI
from langgraph.graph import END, MessageGraph
# my_agent/agent.py
from typing import TypedDict, Literal
model = ChatOpenAI(temperature=0)
from langgraph.graph import StateGraph, END
from my_agent.utils.nodes import call_model, should_continue, tool_node # import nodes
from my_agent.utils.state import AgentState # import state
graph_workflow = MessageGraph()
# Define the config
class GraphConfig(TypedDict):
model_name: Literal["anthropic", "openai"]
graph_workflow.add_node("agent", model)
graph_workflow.add_edge("agent", END)
graph_workflow.set_entry_point("agent")
workflow = StateGraph(AgentState, config_schema=GraphConfig)
workflow.add_node("agent", call_model)
workflow.add_node("action", tool_node)
workflow.set_entry_point("agent")
workflow.add_conditional_edges(
"agent",
should_continue,
{
"continue": "action",
"end": END,
},
)
workflow.add_edge("action", "agent")
agent = graph_workflow.compile()
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 (alternatively, you can provide [a function that creates a graph](./graph_rebuild.md)).
Example file directory:
```
```bash
my-app/
|-- requirements.txt
|-- .env
|-- openai_agent.py # code for your graph
|-- anthropic_agent.py # code for your graph
├── my_agent # all project code lies within here
│ ├── utils # utilities for your graph
│ │ ├── __init__.py
│ │ ├── tools.py # tools for your graph
│ │ ├── nodes.py # node functions for you graph
│ │ └── state.py # state definition of your graph
│   ├── requirements.txt # package dependencies
│   ├── __init__.py
│   └── agent.py # code for constructing your graph
└── .env # environment variables
```
## Create LangGraph API Config
@@ -107,14 +145,11 @@ Create a [LangGraph API configuration file](../reference/cli.md#configuration-fi
Example `langgraph.json` file:
```json
{
"dependencies": [
"."
],
"graphs": {
"openai_agent": "./openai_agent.py:agent",
"anthropic_agent": "./anthropic_agent.py:agent"
},
"env": "./.env"
"dependencies": ["./my_agent"],
"graphs": {
"agent": "./my_agent/agent.py:graph"
},
"env": ".env"
}
```
@@ -127,11 +162,17 @@ Example file directory:
```bash
my-app/
|-- requirements.txt
|-- .env
|-- openai_agent.py
|-- anthropic_agent.py
|-- langgraph.json # configuration file for LangGraph
├── my_agent # all project code lies within here
│ ├── utils # utilities for your graph
│ │ ├── __init__.py
│ │ ├── tools.py # tools for your graph
│ │ ├── nodes.py # node functions for you graph
│ │ └── state.py # state definition of your graph
│   ├── requirements.txt # package dependencies
│   ├── __init__.py
│   └── agent.py # code for constructing your graph
├── .env # environment variables
└── langgraph.json # configuration file for LangGraph
```
## Next