add more links to docs
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@@ -3,7 +3,7 @@
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[](https://github.com/langchain-ai/new-langgraph-project/actions/workflows/unit-tests.yml)
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[](https://github.com/langchain-ai/new-langgraph-project/actions/workflows/integration-tests.yml)
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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/).
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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.
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<div align="center">
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<img src="./static/studio_ui.png" alt="Graph view in LangGraph studio UI" width="75%" />
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@@ -55,6 +55,8 @@ pip install -e .
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langgraph dev
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```
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For more information on getting started with LangGraph Server, [see here](https://langchain-ai.github.io/langgraph/tutorials/langgraph-platform/local-server/).
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## How to customize
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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).
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