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M365 Agents Py
ASecurityMicrosoft 365 Agents SDK for Python. Build multichannel agents for Teams/M365/Copilot Studio with aiohttp hosting, AgentApplication routing, streaming responses, and MSAL-based auth.
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- Added September 11, 2026
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[](https://www.skillsdirectory.com/skills/ranbot-ai-m365-agents-py)---
name: m365-agents-py
description: Microsoft 365 Agents SDK for Python. Build multichannel agents for Teams/M365/Copilot Studio with aiohttp hosting, AgentApplication routing, streaming responses, and MSAL-based auth.
category: AI & Agents
source: antigravity
tags: [python, api, mcp, ai, agent, gpt, workflow, azure, rag, cro]
url: https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/m365-agents-py
---
# Microsoft 365 Agents SDK (Python)
Build enterprise agents for Microsoft 365, Teams, and Copilot Studio using the Microsoft Agents SDK with aiohttp hosting, AgentApplication routing, streaming responses, and MSAL-based authentication.
## Before implementation
- Use the microsoft-docs MCP to verify the latest API signatures for AgentApplication, start_agent_process, and authentication options.
- Confirm package versions on PyPI for the microsoft-agents-* packages you plan to use.
## Important Notice - Import Changes
> **⚠️ Breaking Change**: Recent updates have changed the Python import structure from `microsoft.agents` to `microsoft_agents` (using underscores instead of dots).
## Installation
```bash
pip install microsoft-agents-hosting-core
pip install microsoft-agents-hosting-aiohttp
pip install microsoft-agents-activity
pip install microsoft-agents-authentication-msal
pip install microsoft-agents-copilotstudio-client
pip install python-dotenv aiohttp
```
## Environment Variables (.env)
```bash
CONNECTIONS__SERVICE_CONNECTION__SETTINGS__CLIENTID=<client-id>
CONNECTIONS__SERVICE_CONNECTION__SETTINGS__CLIENTSECRET=<client-secret>
CONNECTIONS__SERVICE_CONNECTION__SETTINGS__TENANTID=<tenant-id>
# Optional: OAuth handlers for auto sign-in
AGENTAPPLICATION__USERAUTHORIZATION__HANDLERS__GRAPH__SETTINGS__AZUREBOTOAUTHCONNECTIONNAME=<connection-name>
# Optional: Azure OpenAI for streaming
AZURE_OPENAI_ENDPOINT=<endpoint>
AZURE_OPENAI_API_VERSION=<version>
AZURE_OPENAI_API_KEY=<key>
# Optional: Copilot Studio client
COPILOTSTUDIOAGENT__ENVIRONMENTID=<environment-id>
COPILOTSTUDIOAGENT__SCHEMANAME=<schema-name>
COPILOTSTUDIOAGENT__TENANTID=<tenant-id>
COPILOTSTUDIOAGENT__AGENTAPPID=<app-id>
```
## Core Workflow: aiohttp-hosted AgentApplication
```python
import logging
from os import environ
from dotenv import load_dotenv
from aiohttp.web import Request, Response, Application, run_app
from microsoft_agents.activity import load_configuration_from_env
from microsoft_agents.hosting.core import (
Authorization,
AgentApplication,
TurnState,
TurnContext,
MemoryStorage,
)
from microsoft_agents.hosting.aiohttp import (
CloudAdapter,
start_agent_process,
jwt_authorization_middleware,
)
from microsoft_agents.authentication.msal import MsalConnectionManager
# Enable logging
ms_agents_logger = logging.getLogger("microsoft_agents")
ms_agents_logger.addHandler(logging.StreamHandler())
ms_agents_logger.setLevel(logging.INFO)
# Load configuration
load_dotenv()
agents_sdk_config = load_configuration_from_env(environ)
# Create storage and connection manager
STORAGE = MemoryStorage()
CONNECTION_MANAGER = MsalConnectionManager(**agents_sdk_config)
ADAPTER = CloudAdapter(connection_manager=CONNECTION_MANAGER)
AUTHORIZATION = Authorization(STORAGE, CONNECTION_MANAGER, **agents_sdk_config)
# Create AgentApplication
AGENT_APP = AgentApplicationTurnState
@AGENT_APP.conversation_update("membersAdded")
async def on_members_added(context: TurnContext, _state: TurnState):
await context.send_activity("Welcome to the agent!")
@AGENT_APP.activity("message")
async def on_message(context: TurnContext, _state: TurnState):
await context.send_activity(f"You said: {context.activity.text}")
@AGENT_APP.error
async def on_error(context: TurnContext, error: Exception):
await context.send_activity("The agent encountered an error.")
# Server setup
async def entry_point(req: Request) -> Response:
agent: AgentApplication = req.app["agent_app"]
adapter: CloudAdapter = req.app["adapter"]
return await start_agent_process(req, agent, adapter)
APP = Application(middlewares=[jwt_authorization_middleware])
APP.router.add_post("/api/messages", entry_point)
APP["agent_configuration"] = CONNECTION_MANAGER.get_default_connection_configuration()
APP["agent_app"] = AGENT_APP
APP["adapter"] = AGENT_APP.adapter
if __name__ == "__main__":
run_app(APP, host="localhost", port=environ.get("PORT", 3978))
```
## AgentApplication Routing
```python
import re
from microsoft_agents.hosting.core import (
AgentApplication, TurnState, TurnContext, MessageFactory
)
from microsoft_agents.activity import ActivityTypes
AGENT_APP = AgentApplicationTurnState
# Welcome handler
@AGENT_APP.conversation_update("membersAdded")
async def on_members_added(context: TurnContext, _state: TurnState):
await context.send_activity("Welcome!")
# Regex-based message handler
@AGENT_APP.message(re.compile(r"^hello$", re.IGNORECASE))
async def on_hello(context: TurnContext, _state: TurnState):
await context.send_activity("Hello!")
# Simple string message handler
@AGENT_APP.message("/status")
async def on_status(context: TurnContext, _state: TurnState):
await context.send_activity("Status: OK")
# Auth-protected message handler
@AGENT_APP.message("/me", auth_handlers=["GRAPH"])
async def on_profile(context: TurnContext, state: TurnState):
token_response = await AGENT_APP.auth.get_token(context, "GRA
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