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!!! note "Prerequisites"
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Before you start, make sure you have the following:
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Before you begin, ensure you have the following:
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- [A GitHub account](https://github.com/)
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- [A LangSmith account](https://smith.langchain.com/)
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In this quickstart, we'll deploy a **pre-built** LangGraph application into LangGraph cloud.
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- [GitHub account](https://github.com/)
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- [LangSmith account](https://smith.langchain.com/)
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## Create a repository on GitHub
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To deploy a LangGraph application to **LangGraph Cloud**, you need to have your application code in a GitHub repository. Either a public or private repository will work.
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To deploy a LangGraph application to **LangGraph Cloud**, your application code must reside in a GitHub repository. Both public and private repositories are supported.
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You can deploy any [LangGraph Application](../concepts/application_structure.md) to LangGraph Cloud.
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For this guide, we'll use the pre-built Python [**ReAct Agent**](https://github.com/langchain-ai/react-agent) template.
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??? note "Get Required API Keys for the ReAct Agent template"
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This **ReAct Agent** application requires an API key from [Anthropic](https://console.anthropic.com/) and [Tavily](https://app.tavily.com/). You can get these API keys by signing up on their respective websites.
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**Alternative**: If you'd prefer a scaffold application that doesn't require API keys, use the [**New LangGraph Project**](https://github.com/langchain-ai/new-langgraph-project) template instead of the **ReAct Agent** template.
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We will use the pre-built python [**ReAct Agent**](https://github.com/langchain-ai/react-agent) template for this quickstart. This application requires two API keys (`ANTHROPIC_API_KEY` and `TAVILY_API_KEY`) to run.
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1. Go to the [ReAct Agent](https://github.com/langchain-ai/react-agent) repository.
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2. Fork the repository to your GitHub account by clicking the `Fork` button in the top right corner.
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??? note "Get API Keys for the ReAct Agent template"
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- **ANTHROPIC_API_KEY**: Get an API key from [Anthropic](https://console.anthropic.com/).
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- **TAVILY_API_KEY**: Get an API key on the [Tavily website](https://app.tavily.com/).
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## Deploy to LangGraph Cloud
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??? note "1. Log in to [LangSmith](https://smith.langchain.com/)"
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@@ -11,9 +11,9 @@ New to LangGraph or LLM app development? Read this material to get up and runnin
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## Get Started 🚀 {#quick-start}
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- [LangGraph Quickstart](introduction.ipynb): Build a chatbot that can use tools and keep track of conversation history. Add human-in-the-loop capabilities and explore how time-travel works.
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- [LangGraph Server Quickstart](langgraph-platform/local-server.md): Launch a LangGraph server locally and interact with it using the REST API and LangGraph Studio Web UI.
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- [LangGraph Cloud QuickStart](../cloud/quick_start.md): Deploy a LangGraph app using LangGraph Cloud.
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- [LangGraph Template Quickstart](../concepts/template_applications.md): Quickly start building with LangGraph Platform using a template application.
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- [LangGraph Server Quickstart](langgraph-platform/local-server.md): Launch a LangGraph server locally and interact with it using REST API and LangGraph Studio Web UI.
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- [LangGraph Template Quickstart](../concepts/template_applications.md): Start building with LangGraph Platform using a template application.
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- [Deploy with LangGraph Cloud Quickstart](../cloud/quick_start.md): Deploy a LangGraph app using LangGraph Cloud.
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## Use cases 🛠️
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@@ -1,4 +1,4 @@
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# Quick Start: Launch Local LangGraph Server
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# QuickStart: Launch Local LangGraph Server
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This is a quick start guide to help you get a LangGraph app up and running locally.
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@@ -226,7 +226,7 @@ Now that you have a LangGraph app running locally, take your journey further by
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### 🌐 Deploy to LangGraph Cloud
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- **[LangGraph Cloud QuickStart](../../cloud/quick_start.md)**: Deploy your LangGraph app using LangGraph Cloud.
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- **[LangGraph Cloud Quickstart](../../cloud/quick_start.md)**: Deploy your LangGraph app using LangGraph Cloud.
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### 📚 Learn More about LangGraph Platform
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