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add more links to docs

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Arjun Natarajan
2025-05-14 09:35:23 -04:00
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@@ -3,7 +3,7 @@
[![CI](https://github.com/langchain-ai/new-langgraph-project/actions/workflows/unit-tests.yml/badge.svg)](https://github.com/langchain-ai/new-langgraph-project/actions/workflows/unit-tests.yml) [![CI](https://github.com/langchain-ai/new-langgraph-project/actions/workflows/unit-tests.yml/badge.svg)](https://github.com/langchain-ai/new-langgraph-project/actions/workflows/unit-tests.yml)
[![Integration Tests](https://github.com/langchain-ai/new-langgraph-project/actions/workflows/integration-tests.yml/badge.svg)](https://github.com/langchain-ai/new-langgraph-project/actions/workflows/integration-tests.yml) [![Integration Tests](https://github.com/langchain-ai/new-langgraph-project/actions/workflows/integration-tests.yml/badge.svg)](https://github.com/langchain-ai/new-langgraph-project/actions/workflows/integration-tests.yml)
This template demonstrates a simple application implemented using [LangGraph](https://github.com/langchain-ai/langgraph), designed for showing how to get started with [LangGraph Studio](https://langchain-ai.github.io/langgraph/concepts/langgraph_studio/). This template demonstrates a simple application implemented using [LangGraph](https://github.com/langchain-ai/langgraph), designed for showing how to get started with [LangGraph Server](https://langchain-ai.github.io/langgraph/concepts/langgraph_server/#langgraph-server) and using [LangGraph Studio](https://langchain-ai.github.io/langgraph/concepts/langgraph_studio/), a visual debugging IDE.
<div align="center"> <div align="center">
<img src="./static/studio_ui.png" alt="Graph view in LangGraph studio UI" width="75%" /> <img src="./static/studio_ui.png" alt="Graph view in LangGraph studio UI" width="75%" />
@@ -55,6 +55,8 @@ pip install -e .
langgraph dev langgraph dev
``` ```
For more information on getting started with LangGraph Server, [see here](https://langchain-ai.github.io/langgraph/tutorials/langgraph-platform/local-server/).
## How to customize ## How to customize
1. **Define a configuration**: Create a `configuration.py` file and define a configuration schema. For example, in a chatbot application you may want to define a dynamic system prompt or LLM to use. For more information on configurations in LangGraph, [see here](https://langchain-ai.github.io/langgraph/concepts/low_level/?h=configuration#configuration). 1. **Define a configuration**: Create a `configuration.py` file and define a configuration schema. For example, in a chatbot application you may want to define a dynamic system prompt or LLM to use. For more information on configurations in LangGraph, [see here](https://langchain-ai.github.io/langgraph/concepts/low_level/?h=configuration#configuration).