azure-mgmt-botservice-dotnet

작성자: microsoft

Azure Resource Manager SDK for Bot Service in .NET. Management plane operations for creating and managing Azure Bot resources, channels (Teams, DirectLine, Slack), and connection settings. Triggers: "Bot Service", "BotResource", "Azure Bot", "DirectLine channel", "Teams channel", "bot management .NET", "create bot".

npx skills add https://github.com/microsoft/skills --skill azure-mgmt-botservice-dotnet

Azure.ResourceManager.BotService (.NET)

Management plane SDK for provisioning and managing Azure Bot Service resources via Azure Resource Manager.

Installation

dotnet add package Azure.ResourceManager.BotService
dotnet add package Azure.Identity

Current Versions: Stable v1.1.1, Preview v1.1.0-beta.1

Environment Variables

AZURE_SUBSCRIPTION_ID=<your-subscription-id> # Required: Azure subscription ID
AZURE_TOKEN_CREDENTIALS=prod  # Required only if DefaultAzureCredential is used in production
AZURE_TENANT_ID=<tenant-id> # For service principal auth (optional)
AZURE_CLIENT_ID=<client-id> # For service principal auth (optional)
AZURE_CLIENT_SECRET=<client-secret> # For service principal auth (optional)

Authentication

using Azure.Identity;
using Azure.ResourceManager;
using Azure.ResourceManager.BotService;

// Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=<specific_credential>
var credential = new DefaultAzureCredential(
    DefaultAzureCredential.DefaultEnvironmentVariableName
);
// Or use a specific credential directly in production:
// See https://learn.microsoft.com/dotnet/api/overview/azure/identity-readme?view=azure-dotnet#credential-classes
// var credential = new ManagedIdentityCredential();
ArmClient armClient = new ArmClient(credential);

// Get subscription and resource group
SubscriptionResource subscription = await armClient.GetDefaultSubscriptionAsync();
ResourceGroupResource resourceGroup = await subscription.GetResourceGroups().GetAsync("myResourceGroup");

// Access bot collection
BotCollection botCollection = resourceGroup.GetBots();

Resource Hierarchy

ArmClient
└── SubscriptionResource
    └── ResourceGroupResource
        └── BotResource
            ├── BotChannelResource (DirectLine, Teams, Slack, etc.)
            ├── BotConnectionSettingResource (OAuth connections)
            └── BotServicePrivateEndpointConnectionResource

Core Workflows

1. Create Bot Resource

using Azure.ResourceManager.BotService;
using Azure.ResourceManager.BotService.Models;

// Create bot data
var botData = new BotData(AzureLocation.WestUS2)
{
    Kind = BotServiceKind.Azurebot,
    Sku = new BotServiceSku(BotServiceSkuName.F0),
    Properties = new BotProperties(
        displayName: "MyBot",
        endpoint: new Uri("https://mybot.azurewebsites.net/api/messages"),
        msaAppId: "<your-msa-app-id>")
    {
        Description = "My Azure Bot",
        MsaAppType = BotMsaAppType.MultiTenant
    }
};

// Create or update the bot
ArmOperation<BotResource> operation = await botCollection.CreateOrUpdateAsync(
    WaitUntil.Completed, 
    "myBotName", 
    botData);
    
BotResource bot = operation.Value;
Console.WriteLine($"Bot created: {bot.Data.Name}");

2. Configure DirectLine Channel

// Get the bot
BotResource bot = await resourceGroup.GetBots().GetAsync("myBotName");

// Get channel collection
BotChannelCollection channels = bot.GetBotChannels();

// Create DirectLine channel configuration
var channelData = new BotChannelData(AzureLocation.WestUS2)
{
    Properties = new DirectLineChannel()
    {
        Properties = new DirectLineChannelProperties()
        {
            Sites = 
            {
                new DirectLineSite("Default Site")
                {
                    IsEnabled = true,
                    IsV1Enabled = false,
                    IsV3Enabled = true,
                    IsSecureSiteEnabled = true
                }
            }
        }
    }
};

// Create or update the channel
ArmOperation<BotChannelResource> channelOp = await channels.CreateOrUpdateAsync(
    WaitUntil.Completed,
    BotChannelName.DirectLineChannel,
    channelData);

Console.WriteLine("DirectLine channel configured");

3. Configure Microsoft Teams Channel

var teamsChannelData = new BotChannelData(AzureLocation.WestUS2)
{
    Properties = new MsTeamsChannel()
    {
        Properties = new MsTeamsChannelProperties()
        {
            IsEnabled = true,
            EnableCalling = false
        }
    }
};

await channels.CreateOrUpdateAsync(
    WaitUntil.Completed,
    BotChannelName.MsTeamsChannel,
    teamsChannelData);

4. Configure Web Chat Channel

var webChatChannelData = new BotChannelData(AzureLocation.WestUS2)
{
    Properties = new WebChatChannel()
    {
        Properties = new WebChatChannelProperties()
        {
            Sites =
            {
                new WebChatSite("Default Site")
                {
                    IsEnabled = true
                }
            }
        }
    }
};

await channels.CreateOrUpdateAsync(
    WaitUntil.Completed,
    BotChannelName.WebChatChannel,
    webChatChannelData);

5. Get Bot and List Channels

// Get bot
BotResource bot = await botCollection.GetAsync("myBotName");
Console.WriteLine($"Bot: {bot.Data.Properties.DisplayName}");
Console.WriteLine($"Endpoint: {bot.Data.Properties.Endpoint}");

// List channels
await foreach (BotChannelResource channel in bot.GetBotChannels().GetAllAsync())
{
    Console.WriteLine($"Channel: {channel.Data.Name}");
}

6. Regenerate DirectLine Keys

var regenerateRequest = new BotChannelRegenerateKeysContent(BotChannelName.DirectLineChannel)
{
    SiteName = "Default Site"
};

BotChannelResource channelWithKeys = await bot.GetBotChannelWithRegenerateKeysAsync(regenerateRequest);

7. Update Bot

BotResource bot = await botCollection.GetAsync("myBotName");

// Update using patch
var updateData = new BotData(bot.Data.Location)
{
    Properties = new BotProperties(
        displayName: "Updated Bot Name",
        endpoint: bot.Data.Properties.Endpoint,
        msaAppId: bot.Data.Properties.MsaAppId)
    {
        Description = "Updated description"
    }
};

await bot.UpdateAsync(updateData);

8. Delete Bot

BotResource bot = await botCollection.GetAsync("myBotName");
await bot.DeleteAsync(WaitUntil.Completed);

Supported Channel Types

ChannelConstantClass
Direct LineBotChannelName.DirectLineChannelDirectLineChannel
Direct Line SpeechBotChannelName.DirectLineSpeechChannelDirectLineSpeechChannel
Microsoft TeamsBotChannelName.MsTeamsChannelMsTeamsChannel
Web ChatBotChannelName.WebChatChannelWebChatChannel
SlackBotChannelName.SlackChannelSlackChannel
FacebookBotChannelName.FacebookChannelFacebookChannel
EmailBotChannelName.EmailChannelEmailChannel
TelegramBotChannelName.TelegramChannelTelegramChannel
TelephonyBotChannelName.TelephonyChannelTelephonyChannel

Key Types Reference

TypePurpose
ArmClientEntry point for all ARM operations
BotResourceRepresents an Azure Bot resource
BotCollectionCollection for bot CRUD
BotDataBot resource definition
BotPropertiesBot configuration properties
BotChannelResourceChannel configuration
BotChannelCollectionCollection of channels
BotChannelDataChannel configuration data
BotConnectionSettingResourceOAuth connection settings

BotServiceKind Values

ValueDescription
BotServiceKind.AzurebotAzure Bot (recommended)
BotServiceKind.BotLegacy Bot Framework bot
BotServiceKind.DesignerComposer bot
BotServiceKind.FunctionFunction bot
BotServiceKind.SdkSDK bot

BotServiceSkuName Values

ValueDescription
BotServiceSkuName.F0Free tier
BotServiceSkuName.S1Standard tier

BotMsaAppType Values

ValueDescription
BotMsaAppType.MultiTenantMulti-tenant app
BotMsaAppType.SingleTenantSingle-tenant app
BotMsaAppType.UserAssignedMSIUser-assigned managed identity

Best Practices

  1. Use DefaultAzureCredential — supports multiple auth methods
  2. Use WaitUntil.Completed for synchronous operations
  3. Handle RequestFailedException for API errors
  4. Use async methods (*Async) for all operations
  5. Store MSA App credentials securely — use Key Vault for secrets
  6. Use managed identity (BotMsaAppType.UserAssignedMSI) for production bots
  7. Enable secure sites for DirectLine channels in production

Error Handling

using Azure;

try
{
    var operation = await botCollection.CreateOrUpdateAsync(
        WaitUntil.Completed, 
        botName, 
        botData);
}
catch (RequestFailedException ex) when (ex.Status == 409)
{
    Console.WriteLine("Bot already exists");
}
catch (RequestFailedException ex)
{
    Console.WriteLine($"ARM Error: {ex.Status} - {ex.ErrorCode}: {ex.Message}");
}

Related SDKs

SDKPurposeInstall
Azure.ResourceManager.BotServiceBot management (this SDK)dotnet add package Azure.ResourceManager.BotService
Microsoft.Bot.BuilderBot Framework SDKdotnet add package Microsoft.Bot.Builder
Microsoft.Bot.Builder.Integration.AspNet.CoreASP.NET Core integrationdotnet add package Microsoft.Bot.Builder.Integration.AspNet.Core

Reference Links

ResourceURL
NuGet Packagehttps://www.nuget.org/packages/Azure.ResourceManager.BotService
API Referencehttps://learn.microsoft.com/dotnet/api/azure.resourcemanager.botservice
GitHub Sourcehttps://github.com/Azure/azure-sdk-for-net/tree/main/sdk/botservice/Azure.ResourceManager.BotService
Azure Bot Service Docshttps://learn.microsoft.com/azure/bot-service/

microsoft의 다른 스킬

oss-growth
microsoft
OSS 성장 해커 페르소나
agent-framework-azure-ai-py
microsoft
Microsoft Agent Framework Python SDK(agent-framework-azure-ai)를 사용하여 Azure AI Foundry 에이전트를 구축합니다. AzureAIAgentsProvider로 지속적 에이전트를 만들 때, 호스팅 도구(코드 인터프리터, 파일 검색, 웹 검색)를 사용할 때, MCP 서버를 통합할 때, 대화 스레드를 관리할 때, 또는 스트리밍 응답을 구현할 때 사용합니다. 함수 도구, 구조화된 출력, 다중 도구 에이전트를 다룹니다.
development
airunway-aks-setup
microsoft
Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: "setup AI Runway", "onboard AKS cluster", "install AI Runway", "airunway setup", "deploy model to AKS", "GPU inference on AKS", "KAITO setup on AKS", "run LLM on AKS", "vLLM on AKS", "set up model serving on AKS", "AI Runway controller".
devops
appinsights-instrumentation
microsoft
Azure Application Insights로 웹앱을 계측하기 위한 지침입니다. 원격 분석 패턴, SDK 설정, 구성 참조를 제공합니다. WHEN: 앱 계측 방법, App Insights SDK, 원격 분석 패턴, App Insights란 무엇인가, Application Insights 지침, 계측 예시, APM 모범 사례.
devops
applicationinsights-web-ts
microsoft
브라우저/웹 앱을 Application Insights JavaScript SDK(@microsoft/applicationinsights-web)로 계측합니다. Real User Monitoring(RUM) — 페이지 뷰, 클릭, AJAX/fetch 종속성, 예외, 사용자 지정 이벤트, 백엔드 OpenTelemetry 트레이스와 상관관계가 있는 브라우저 측 GenAI 에이전트 트레이스에 사용합니다. SDK Loader Script 및 npm 설정, 프레임워크 확장(React, React Native, Angular), Click Analytics, 텔레메트리 이니셜라이저, 브라우저에서 생성된 에이전트/도구/모델 스팬에 대한 OTel GenAI 의미론적 규칙을 다룹니다.
devops
azure-ai-anomalydetector-java
microsoft
Azure AI Anomaly Detector SDK for Java로 이상 탐지 애플리케이션을 구축하세요. 단변량/다변량 이상 탐지, 시계열 분석 또는 AI 기반 모니터링을 구현할 때 사용하세요.
development
azure-ai-language-conversations-py
microsoft
azure-ai-language-conversations Python SDK를 사용하여 대화형 언어 이해(CLU)를 구현합니다. ConversationAnalysisClient로 대화 의도와 엔터티를 분석하거나, NLP 기능을 구축하거나, 애플리케이션에 언어 이해를 통합할 때 사용합니다.
development
azure-ai-ml-py
microsoft
Azure Machine Learning SDK v2 for Python. ML 작업 영역, 작업, 모델, 데이터 세트, 컴퓨팅 및 파이프라인에 사용합니다. 트리거: "azure-ai-ml", "MLClient", "workspace", "model registry", "training jobs", "datasets".
development