azure-mgmt-botservice-dotnet

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/

Lebih banyak skill dari microsoft

oss-growth
microsoft
Persona peretas pertumbuhan OSS
agent-framework-azure-ai-py
microsoft
Bangun agen Azure AI Foundry menggunakan Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Gunakan saat membuat agen persisten dengan AzureAIAgentsProvider, menggunakan alat yang dihosting (code interpreter, file search, web search), mengintegrasikan server MCP, mengelola utas percakapan, atau mengimplementasikan respons streaming. Mencakup alat fungsi, keluaran terstruktur, dan agen multi-alat.
development
airunway-aks-setup
microsoft
Siapkan AI Runway di AKS — dari klaster kosong hingga model berjalan. Mencakup verifikasi klaster, instalasi controller, penilaian GPU, penyiapan penyedia, dan deployment pertama. KAPAN: "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
Panduan untuk instrumentasi aplikasi web dengan Azure Application Insights. Menyediakan pola telemetri, pengaturan SDK, dan referensi konfigurasi. KAPAN: cara menginstrumentasi aplikasi, SDK App Insights, pola telemetri, apa itu App Insights, panduan Application Insights, contoh instrumentasi, praktik terbaik APM.
devops
applicationinsights-web-ts
microsoft
Instrumentasi aplikasi browser/web dengan Application Insights JavaScript SDK (@microsoft/applicationinsights-web). Digunakan untuk Real User Monitoring (RUM) — tampilan halaman, klik, dependensi AJAX/fetch, pengecualian, peristiwa kustom, dan jejak agen GenAI sisi browser yang dikorelasikan dengan jejak OpenTelemetry backend. Mencakup pengaturan SDK Loader Script dan npm, ekstensi kerangka kerja (React, React Native, Angular), Click Analytics, inisialisasi telemetri, dan konvensi semantik OTel GenAI untuk span agen/alat/model yang dipancarkan dari browser.
devops
azure-ai-anomalydetector-java
microsoft
Bangun aplikasi deteksi anomali dengan Azure AI Anomaly Detector SDK untuk Java. Gunakan saat mengimplementasikan deteksi anomali univariat/multivariat, analisis deret waktu, atau pemantauan bertenaga AI.
development
azure-ai-language-conversations-py
microsoft
Implementasikan Pemahaman Bahasa Percakapan (CLU) menggunakan SDK Python azure-ai-language-conversations. Gunakan saat bekerja dengan ConversationAnalysisClient untuk menganalisis maksud dan entitas percakapan, membangun fitur NLP, atau mengintegrasikan pemahaman bahasa ke dalam aplikasi.
development
azure-ai-ml-py
microsoft
Azure Machine Learning SDK v2 untuk Python. Gunakan untuk ruang kerja ML, pekerjaan, model, kumpulan data, komputasi, dan pipeline. Pemicu: "azure-ai-ml", "MLClient", "ruang kerja", "registri model", "pekerjaan pelatihan", "kumpulan data".
development