Core library for Microsoft Agents
Project description
Microsoft Agents Hosting Core
The core hosting library for Microsoft 365 Agents SDK. This library provides the fundamental building blocks for creating conversational AI agents, including activity processing, state management, authentication, and channel communication.
This is the heart of the Microsoft 365 Agents SDK - think of it as the engine that powers your conversational agents. It handles the complex orchestration of conversations, manages state across turns, and provides the infrastructure needed to build production-ready agents that work across Microsoft 365 platforms.
What is this?
This library is part of the Microsoft 365 Agents SDK for Python - a comprehensive framework for building enterprise-grade conversational AI agents. The SDK enables developers to create intelligent agents that work across multiple platforms including Microsoft Teams, M365 Copilot, Copilot Studio, and web chat, with support for third-party integrations like Slack, Facebook Messenger, and Twilio.
Release Notes
| Version | Date | Release Notes |
|---|---|---|
| 0.8.0 | 2026-02-23 | 0.8.0 Release Notes |
| 0.7.0 | 2026-01-21 | 0.7.0 Release Notes |
| 0.6.1 | 2025-12-01 | 0.6.1 Release Notes |
| 0.6.0 | 2025-11-18 | 0.6.0 Release Notes |
| 0.5.0 | 2025-10-22 | 0.5.0 Release Notes |
Packages Overview
We offer the following PyPI packages to create conversational experiences based on Agents:
Additionally we provide a Copilot Studio Client, to interact with Agents created in CopilotStudio:
| Package Name | PyPI Version | Description |
|---|---|---|
microsoft-agents-copilotstudio-client |
Direct to Engine client to interact with Agents created in CopilotStudio |
Installation
pip install microsoft-agents-hosting-core
Simple Echo Agent
See the Quickstart sample for full working code.
agents_sdk_config = load_configuration_from_env(environ)
STORAGE = MemoryStorage()
CONNECTION_MANAGER = MsalConnectionManager(**agents_sdk_config)
ADAPTER = CloudAdapter(connection_manager=CONNECTION_MANAGER)
AUTHORIZATION = Authorization(STORAGE, CONNECTION_MANAGER, **agents_sdk_config)
AGENT_APP = AgentApplication[TurnState](
storage=STORAGE, adapter=ADAPTER, authorization=AUTHORIZATION, **agents_sdk_config
)
@AGENT_APP.activity("message")
async def on_message(context: TurnContext, state: TurnState):
await context.send_activity(f"You said: {context.activity.text}")
...
start_server(
agent_application=AGENT_APP,
auth_configuration=CONNECTION_MANAGER.get_default_connection_configuration(),
)
Core Concepts
AgentApplication vs ActivityHandler
AgentApplication - Modern, fluent API for building agents:
- Decorator-based routing (
@agent_app.activity("message")) - Built-in state management and middleware
- AI-ready with authorization support
- Type-safe with generics
ActivityHandler - Traditional inheritance-based approach:
- Override methods for different activity types
- More familiar to Bot Framework developers
- Lower-level control over activity processing
Route-based Message Handling
@AGENT_APP.message(re.compile(r"^hello$"))
async def on_hello(context: TurnContext, _state: TurnState):
await context.send_activity("Hello!")
@AGENT_APP.activity("message")
async def on_message(context: TurnContext, _state: TurnState):
await context.send_activity(f"you said: {context.activity.text}")
Error Handling
@AGENT_APP.error
async def on_error(context: TurnContext, error: Exception):
# NOTE: In production environment, you should consider logging this to Azure
# application insights.
print(f"\n [on_turn_error] unhandled error: {error}", file=sys.stderr)
traceback.print_exc()
# Send a message to the user
await context.send_activity("The bot encountered an error or bug.")
Key Classes Reference
Core Classes
AgentApplication- Main application class with fluent APIActivityHandler- Base class for inheritance-based agentsTurnContext- Context for each conversation turnTurnState- State management across conversation turns
State Management
ConversationState- Conversation-scoped stateUserState- User-scoped state across conversationsTempState- Temporary state for current turnMemoryStorage- In-memory storage (development)
Messaging
MessageFactory- Create different types of messagesCardFactory- Create rich card attachmentsInputFile- Handle file attachments
Authorization
Authorization- Authentication and authorization managerClaimsIdentity- User identity and claims
Quick Links
Sample Applications
| Name | Description | README |
|---|---|---|
| Quickstart | Simplest agent | Quickstart |
| Auto Sign In | Simple OAuth agent using Graph and GitHub | auto-signin |
| OBO Authorization | OBO flow to access a Copilot Studio Agent | obo-authorization |
| Semantic Kernel Integration | A weather agent built with Semantic Kernel | semantic-kernel-multiturn |
| Streaming Agent | Streams OpenAI responses | azure-ai-streaming |
| Copilot Studio Client | Console app to consume a Copilot Studio Agent | copilotstudio-client |
| Cards Agent | Agent that uses rich cards to enhance conversation design | cards |
Project details
Release history Release notifications | RSS feed
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