Azure Mgmt Botservice Py

Azure Bot Service Management SDK for Python

Manage Azure Bot Service resources including bots, channels, and connections.

Installation

pip install azure-mgmt-botservice
pip install azure-identity

Environment Variables

AZURE_SUBSCRIPTION_ID=<your-subscription-id>
AZURE_RESOURCE_GROUP=<your-resource-group>

Authentication

from azure.identity import DefaultAzureCredential
from azure.mgmt.botservice import AzureBotService
import os

credential = DefaultAzureCredential()
client = AzureBotService(
    credential=credential,
    subscription_id=os.environ["AZURE_SUBSCRIPTION_ID"]
)

Create a Bot

from azure.mgmt.botservice import AzureBotService
from azure.mgmt.botservice.models import Bot, BotProperties, Sku
from azure.identity import DefaultAzureCredential
import os

credential = DefaultAzureCredential()
client = AzureBotService(
    credential=credential,
    subscription_id=os.environ["AZURE_SUBSCRIPTION_ID"]
)

resource_group = os.environ["AZURE_RESOURCE_GROUP"]
bot_name = "my-chat-bot"

bot = client.bots.create(
    resource_group_name=resource_group,
    resource_name=bot_name,
    parameters=Bot(
        location="global",
        sku=Sku(name="F0"),  # Free tier
        kind="azurebot",
        properties=BotProperties(
            display_name="My Chat Bot",
            description="A conversational AI bot",
            endpoint="https://my-bot-app.azurewebsites.net/api/messages",
            msa_app_id="<your-app-id>",
            msa_app_type="MultiTenant"
        )
    )
)

print(f"Bot created: {bot.name}")

Get Bot Details

bot = client.bots.get(
    resource_group_name=resource_group,
    resource_name=bot_name
)

print(f"Bot: {bot.properties.display_name}")
print(f"Endpoint: {bot.properties.endpoint}")
print(f"SKU: {bot.sku.name}")

List Bots in Resource Group

bots = client.bots.list_by_resource_group(resource_group_name=resource_group)

for bot in bots:
    print(f"Bot: {bot.name} - {bot.properties.display_name}")

List All Bots in Subscription

all_bots = client.bots.list()

for bot in all_bots:
    print(f"Bot: {bot.name} in {bot.id.split('/')[4]}")

Update Bot

bot = client.bots.update(
    resource_group_name=resource_group,
    resource_name=bot_name,
    properties=BotProperties(
        display_name="Updated Bot Name",
        description="Updated description"
    )
)

Delete Bot

client.bots.delete(
    resource_group_name=resource_group,
    resource_name=bot_name
)

Configure Channels

Add Teams Channel

from azure.mgmt.botservice.models import (
    BotChannel,
    MsTeamsChannel,
    MsTeamsChannelProperties
)

channel = client.channels.create(
    resource_group_name=resource_group,
    resource_name=bot_name,
    channel_name="MsTeamsChannel",
    parameters=BotChannel(
        location="global",
        properties=MsTeamsChannel(
            properties=MsTeamsChannelProperties(
                is_enabled=True
            )
        )
    )
)

Add Direct Line Channel

from azure.mgmt.botservice.models import (
    BotChannel,
    DirectLineChannel,
    DirectLineChannelProperties,
    DirectLineSite
)

channel = client.channels.create(
    resource_group_name=resource_group,
    resource_name=bot_name,
    channel_name="DirectLineChannel",
    parameters=BotChannel(
        location="global",
        properties=DirectLineChannel(
            properties=DirectLineChannelProperties(
                sites=[
                    DirectLineSite(
                        site_name="Default Site",
                        is_enabled=True,
                        is_v1_enabled=False,
                        is_v3_enabled=True
                    )
                ]
            )
        )
    )
)

Add Web Chat Channel

from azure.mgmt.botservice.models import (
    BotChannel,
    WebChatChannel,
    WebChatChannelProperties,
    WebChatSite
)

channel = client.channels.create(
    resource_group_name=resource_group,
    resource_name=bot_name,
    channel_name="WebChatChannel",
    parameters=BotChannel(
        location="global",
        properties=WebChatChannel(
            properties=WebChatChannelProperties(
                sites=[
                    WebChatSite(
                        site_name="Default Site",
                        is_enabled=True
                    )
                ]
            )
        )
    )
)

Get Channel Details

channel = client.channels.get(
    resource_group_name=resource_group,
    resource_name=bot_name,
    channel_name="DirectLineChannel"
)

List Channel Keys

keys = client.channels.list_with_keys(
    resource_group_name=resource_group,
    resource_name=bot_name,
    channel_name="DirectLineChannel"
)

# Access Direct Line keys
if hasattr(keys.properties, 'properties'):
    for site in keys.properties.properties.sites:
        print(f"Site: {site.site_name}")
        print(f"Key: {site.key}")

Bot Connections (OAuth)

Create Connection Setting

from azure.mgmt.botservice.models import (
    ConnectionSetting,
    ConnectionSettingProperties
)

connection = client.bot_connection.create(
    resource_group_name=resource_group,
    resource_name=bot_name,
    connection_name="graph-connection",
    parameters=ConnectionSetting(
        location="global",
        properties=ConnectionSettingProperties(
            client_id="<oauth-client-id>",
            client_secret="<oauth-client-secret>",
            scopes="User.Read",
            service_provider_id="<service-provider-id>"
        )
    )
)

List Connections

connections = client.bot_connection.list_by_bot_service(
    resource_group_name=resource_group,
    resource_name=bot_name
)

for conn in connections:
    print(f"Connection: {conn.name}")

Client Operations

SKU Options

Channel Types

Best Practices

1. Use DefaultAzureCredential for authentication
2. Start with F0 SKU for development, upgrade to S1 for production
3. Store MSA App ID/Secret securely — use Key Vault
4. Enable only needed channels — reduces attack surface
5. Rotate Direct Line keys periodically
6. Use managed identity when possible for bot connections
7. Configure proper CORS for Web Chat channel

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.