add deploy to azure button

Author: ks6088ts

README.md

@@ -4,6 +4,8 @@
 [![ghcr-release](https://github.com/ks6088ts-labs/template-langgraph/actions/workflows/ghcr-release.yaml/badge.svg)](https://github.com/ks6088ts-labs/template-langgraph/actions/workflows/ghcr-release.yaml)
 [![docs](https://github.com/ks6088ts-labs/template-langgraph/actions/workflows/github-pages.yaml/badge.svg)](https://github.com/ks6088ts-labs/template-langgraph/actions/workflows/github-pages.yaml)
 
+[![Deploy to Azure](https://aka.ms/deploytoazurebutton)](https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2Fks6088ts-labs%2Fbaseline-environment-on-azure-bicep%2Frefs%2Fheads%2Fmain%2Finfra%2Fscenarios%2Ftemplate-langgraph%2Fazuredeploy.json)
+
 # template-langgraph
 
 A comprehensive LangGraph template for building AI Agents with Python.

docs/deployment.ja.md

@@ -1,5 +1,13 @@
 # デプロイメント手順
 
+## Azure リソース
+
+Azure リソースをこのプロジェクトにデプロイするには、提供された [Bicep テンプレート](https://github.com/ks6088ts-labs/baseline-environment-on-azure-bicep/tree/main/infra/scenarios/template-langgraph) を使用できます。このテンプレートは、LangGraph アプリケーションを実行するために必要なリソースをセットアップします。
+
+アプリケーションを迅速にデプロイするために、[Deploy to Azure ボタン](https://learn.microsoft.com/azure/azure-resource-manager/templates/deploy-to-azure-button) が利用可能です。以下のボタンをクリックすることで、Azure ポータルから直接リソースをデプロイできます：
+
+[![Deploy to Azure](https://aka.ms/deploytoazurebutton)](https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2Fks6088ts-labs%2Fbaseline-environment-on-azure-bicep%2Frefs%2Fheads%2Fmain%2Finfra%2Fscenarios%2Ftemplate-langgraph%2Fazuredeploy.json)
+
 ## Docker Hub
 
 Docker Hub に Docker イメージを公開するには、[アクセストークンを作成](https://app.docker.com/settings/personal-access-tokens/create)し、リポジトリ設定で以下のシークレットを設定する必要があります。

docs/deployment.md

@@ -1,5 +1,13 @@
 ## Deployment instructions
 
+### Azure resources
+
+To deploy Azure resources for this project, you can use the provided [Bicep template](https://github.com/ks6088ts-labs/baseline-environment-on-azure-bicep/tree/main/infra/scenarios/template-langgraph). This template sets up the necessary resources for running the LangGraph application.
+
+To quickly deploy the application, [Deploy to Azure button](https://learn.microsoft.com/azure/azure-resource-manager/templates/deploy-to-azure-button) is available. By clicking the following button, you can deploy the resources directly from the Azure portal:
+
+[![Deploy to Azure](https://aka.ms/deploytoazurebutton)](https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2Fks6088ts-labs%2Fbaseline-environment-on-azure-bicep%2Frefs%2Fheads%2Fmain%2Finfra%2Fscenarios%2Ftemplate-langgraph%2Fazuredeploy.json)
+
 ### Docker Hub
 
 To publish the docker image to Docker Hub, you need to [create access token](https://app.docker.com/settings/personal-access-tokens/create) and set the following secrets in the repository settings.