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articles/app-service/tutorial-ai-agent-web-app-langgraph-foundry-node.md

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Both LangGraph and Azure AI Foundry Agent Service enable you to build agentic web applications with AI-driven capabilities. LangGraph is similar to Microsoft Semantic Kernal and is an SDK, but Semantic Kernel doesn't support JavaScript currently. The following table shows some of the considerations and trade-offs:
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Both LangGraph and Azure AI Foundry Agent Service enable you to build agentic web applications with AI-driven capabilities. LangGraph is similar to Microsoft Semantic Kernel and is an SDK, but Semantic Kernel doesn't support JavaScript currently. The following table shows some of the considerations and trade-offs:
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| Consideration | LangGraph | Azure AI Foundry Agent Service |
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|--------------------|-------------------------------|----------------------------------------|
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| Performance | Fast (runs locally) | Slower (managed, remote service) |
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| Development | Full code, maximum control | Low code, rapid integration |
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| Testing | Manual/unit tests in code | Built-in playground for quick testing |
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| Scalability | App-managed | Azure-managed, auto-scaled |
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| Scalability | App-managed | Azure-managed, autoscaled |
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In this tutorial, you learn how to:
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### [LangGraph](#tab/langgraph)
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The `LangGraphTaskAgent` is initialized in the contructor in *src/agents/LangGraphTaskAgent.ts*. The initialization code does the following:
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The `LangGraphTaskAgent` is initialized in the constructor in *src/agents/LangGraphTaskAgent.ts*. The initialization code does the following:
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- Configures the [AzureChatOpenAI](https://js.langchain.com/docs/integrations/llms/azure/) client using environment variables.
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- Creates the pre-built ReAct agent a set of CRUD tools for task management (see [LangGraph: How to use the prebuilt ReAct agent](https://langchain-ai.github.io/langgraphjs/how-tos/create-react-agent)).
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- Creates the prebuilt ReAct agent a set of CRUD tools for task management (see [LangGraph: How to use the prebuilt ReAct agent](https://langchain-ai.github.io/langgraphjs/how-tos/create-react-agent)).
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- Sets up memory management (see [LangGraph: How to add memory to the prebuilt ReAct agent](https://langchain-ai.github.io/langgraphjs/how-tos/react-memory/)).
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:::code language="typescript" source="~/app-service-agentic-langgraph-foundry-node/src/agents/LangGraphTaskAgent.ts" range="23-143" highlight="13-21,24-37,106-117" :::
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## Deploy the sample application
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The sample respository contains an Azure Developer CLI (AZD) template, which creates an App Service app with managed identity and deploys your sample application.
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The sample repository contains an Azure Developer CLI (AZD) template, which creates an App Service app with managed identity and deploys your sample application.
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1. In the terminal, log into Azure using Azure Developer CLI:
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articles/app-service/tutorial-ai-agent-web-app-semantic-kernel-foundry-dotnet.md

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| Performance | Fast (runs locally) | Slower (managed, remote service) |
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| Development | Full code, maximum control | Low code, rapid integration |
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| Testing | Manual/unit tests in code | Built-in playground for quick testing |
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| Scalability | App-managed | Azure-managed, auto-scaled |
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| Scalability | App-managed | Azure-managed, autoscaled |
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In this tutorial, you learn how to:
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## Deploy the sample application
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The sample respository contains an Azure Developer CLI (AZD) template, which creates an App Service app with managed identity and deploys your sample application.
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The sample repository contains an Azure Developer CLI (AZD) template, which creates an App Service app with managed identity and deploys your sample application.
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1. In the terminal, log into Azure using Azure Developer CLI:
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articles/app-service/tutorial-ai-agent-web-app-semantic-kernel-java.md

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## Deploy the sample application
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The sample respository contains an Azure Developer CLI (AZD) template, which creates an App Service app with managed identity and deploys your sample application.
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The sample repository contains an Azure Developer CLI (AZD) template, which creates an App Service app with managed identity and deploys your sample application.
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1. In the terminal, log into Azure using Azure Developer CLI:
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