azure-mgmt-botservice-py
Python SDK for automating the creation and management of Azure Bot Service resources.
Install
mkdir -p .claude/skills/azure-mgmt-botservice-py && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/8285" && unzip -o skill.zip -d .claude/skills/azure-mgmt-botservice-py && rm skill.zipInstalls to .claude/skills/azure-mgmt-botservice-py
Activation
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Azure Bot Service Management SDK for Python. Use for creating, managing, and configuring Azure Bot Service resources. Triggers: "azure-mgmt-botservice", "AzureBotService", "bot management", "conversational AI", "bot channels".Key capabilities
- →Create bot resources
- →Configure bot channels
- →Manage bot connections
- →Update bot properties
How it works
Uses the Azure Resource Manager API to programmatically define and configure bot service infrastructure and channel settings.
Inputs & outputs
When to use azure-mgmt-botservice-py
- →Create Azure Bot Service resources
- →Configure bot channels
- →Manage conversational AI deployments
About this skill
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> # Required for all auth methods
AZURE_RESOURCE_GROUP=<your-resource-group> # Required for all auth methods
AZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production
Authentication & Lifecycle
🔑 Two rules apply to every code sample below:
- Prefer
DefaultAzureCredential. It works locally (Azure CLI / VS Code / Developer CLI) and in Azure (managed identity, workload identity) with no code change. Avoid connection strings, account/API keys — they bypass Entra audit and rotation.
- Local dev:
DefaultAzureCredentialworks as-is.- Production: set
AZURE_TOKEN_CREDENTIALS=prod(orAZURE_TOKEN_CREDENTIALS=<specific_credential>) to constrain the credential chain to production-safe credentials.- Wrap every client in a context manager so HTTP transports, sockets, and token caches are released deterministically:
- Sync:
with <Client>(...) as client:- Async:
async with <Client>(...) as client:andasync with DefaultAzureCredential() as credential:(fromazure.identity.aio)Snippets may abbreviate this setup, but production code should always follow both rules.
from azure.identity import DefaultAzureCredential, ManagedIdentityCredential
from azure.mgmt.botservice import AzureBotService
import os
# Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=<specific_credential>
credential = DefaultAzureCredential(require_envvar=True)
# Or use a specific credential directly in production:
# See https://learn.microsoft.com/python/api/overview/azure/identity-readme?view=azure-python#credential-classes
# credential = ManagedIdentityCredential()
with AzureBotService(
credential=credential,
subscription_id=os.environ["AZURE_SUBSCRIPTION_ID"]
) as client:
# Use `client` for all subsequent operations (see examples below)
...
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
resource_group = os.environ["AZURE_RESOURCE_GROUP"]
bot_name = "my-chat-bot"
credential = DefaultAzureCredential()
with AzureBotService(
credential=credential,
subscription_id=os.environ["AZURE_SUBSCRIPTION_ID"]
) as client:
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
| Operation | Method |
|---|---|
client.bots | Bot CRUD operations |
client.channels | Channel configuration |
client.bot_connection | OAuth connection settings |
client.direct_line | Direct Line channel operations |
client.email | Email channel operations |
client.operations | Available operations |
client.host_settings | Host settings operations |
SKU Options
| SKU | Description |
|---|---|
F0 | Free tier (limited messages) |
S1 | Standard tier (unlimited messages) |
Channel Types
| Channel | Class | Purpose |
|---|---|---|
MsTeamsChannel | Microsoft Teams | Teams integration |
DirectLineChannel | Direct Line | Custom client integration |
WebChatChannel | Web Chat | Embeddable web widget |
SlackChannel | Slack | Slack workspace integration |
FacebookChannel | Messenger integration | |
EmailChannel | Email communication |
Best Practices
- Pick sync OR async and stay consistent. Do not mix
azure.xxxsync clients withazure.xxx.aioasync clients in the same call path. Choose one mode per module. - Always use context managers for clients and async credentials. Wrap every client in
with Client(...) as client:(sync) orasync with Client(...) as client:(async). For asyncDefaultAzureCredentialfromazure.identity.aio, also useasync with credential:so tokens and transports are cleaned up. - Use
DefaultAzureCredentialfor code that runs locally. Use a specific token credential for code that runs in Azure. - Start with F0 SKU for development, upgrade to S1 for production
- Store MSA App ID/Secret securely — use Key Vault
- Enable only needed channels — reduces attack surface
- Rotate Direct Line keys periodically
- Use managed identity when possible for bot connections
- Configure proper CORS for Web Chat channel
Reference Files
| File | Contents |
|---|---|
| references/capabilities.md | Additional non-hero capabilities, operation-group coverage, and production checklists. |
| references/non-hero-scenarios.md | Dedicated non-hero examples for secondary/advanced scenarios. |
When not to use it
- →Non-Azure bot deployments
- →Bot logic development
Prerequisites
Limitations
- →Infrastructure management only
- →Requires Azure subscription
How it compares
Automates infrastructure provisioning compared to manual Azure Portal setup.
Compared to similar skills
azure-mgmt-botservice-py side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| azure-mgmt-botservice-py (this skill) | 0 | 29d | Review | Intermediate |
| crewai | 4 | 6mo | No flags | Advanced |
| autonomous-agent-patterns | 4 | 6mo | Review | Intermediate |
| computer-use-agents | 10 | 6mo | Review | Advanced |
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