docs: address feedback

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Lauren Hirata Singh
2025-05-13 09:51:50 -07:00
parent d256469f37
commit 9d3ea6fd7e
4 changed files with 17 additions and 7 deletions
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@@ -14,6 +14,10 @@ This quickstart uses the [pre-built Python ReAct agent template](https://github.
- An API key for [Anthropic](https://console.anthropic.com/)
- An API key for [Tavily](https://app.tavily.com/)
!!! note
If you want to use a scaffold application that doesn't require API keys, use the [New LangGraph Project](https://github.com/langchain-ai/new-langgraph-project) template instead.
## 1. Create a repository on GitHub
To deploy a LangGraph application to **LangGraph Platform**, your application code must reside in a GitHub repository. Both public and private repositories are supported. For this quickstart, use the [pre-built Python ReAct agent template](https://github.com/langchain-ai/react-agent) for your application: