azure-mgmt-botservice-py
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".
Install / Use
npx skills add microsoft/skills --skill azure-mgmt-botservice-pyInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of azure-mgmt-botservice-py
azure-mgmt-botservice-py scores 93/100 on our quality scale, 562nd of 3,481 Development & Engineering skills we index (top 17%).
Its SKILL.md is 10 KB long, well organised into 29 sections with 16 code examples: a thorough specification that gives an agent plenty to work with.
With 3,051 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 5 days ago, so azure-mgmt-botservice-py is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-09-29. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
azure-mgmt-botservice-py compared with similar skills
All 4 of these similar skills score higher than azure-mgmt-botservice-py; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| azure-mgmt-botservice-py (this skill)by microsoft | 93 | 3.1k | 5d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 86.1k | 13d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 74.1k | today | CLAUDE.md |
| ai-job-searchby MadsLorentzen | 100 | 44.4k | today | CLAUDE.md |
| claude-howtoby luongnv89 | 100 | 41.7k | 2d ago | CLAUDE.md |
Frequently asked questions
- How do I install azure-mgmt-botservice-py?
- Run
npx skills add microsoft/skills --skill azure-mgmt-botservice-py. The install tabs above show the steps for each supported agent. - Which AI agents does azure-mgmt-botservice-py work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is azure-mgmt-botservice-py safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is azure-mgmt-botservice-py still maintained?
- The repository was last updated 5 days ago, so azure-mgmt-botservice-py is actively maintained.
Skill content
View source on GitHubname: azure-mgmt-botservice-py description: |- 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". license: MIT metadata: author: Microsoft version: "1.0.0"
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 | Facebook | Messenger integration |
| EmailChannel | Email | 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. |
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
