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Integration library for Microsoft Agents with aiohttp

Project description

Microsoft Agents Hosting - aiohttp

PyPI version

Integration library for hosting Microsoft 365 Agents using aiohttp. This library provides HTTP adapters, middleware, and utilities for building web-based agent applications with the popular aiohttp framework.

This library bridges the Microsoft 365 Agents SDK with aiohttp, allowing you to create HTTP endpoints that handle agent conversations. It provides everything you need to host agents as web services, including request processing, authentication, and routing.

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
0.9.0 2026-04-15 0.9.0 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:

Package Name PyPI Version Description
microsoft-agents-activity PyPI Types and validators implementing the Activity protocol spec.
microsoft-agents-hosting-core PyPI Core library for Microsoft Agents hosting.
microsoft-agents-hosting-aiohttp PyPI Configures aiohttp to run the Agent.
microsoft-agents-hosting-teams PyPI Provides classes to host an Agent for Teams.
microsoft-agents-storage-blob PyPI Extension to use Azure Blob as storage.
microsoft-agents-storage-cosmos PyPI Extension to use CosmosDB as storage.
microsoft-agents-authentication-msal PyPI MSAL-based authentication for Microsoft Agents.

Additionally we provide a Copilot Studio Client, to interact with Agents created in CopilotStudio:

Package Name PyPI Version Description
microsoft-agents-copilotstudio-client PyPI Direct to Engine client to interact with Agents created in CopilotStudio

Installation

pip install microsoft-agents-hosting-aiohttp

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(),
)

Error Handling

Customize error responses. Code take from the Quickstart sample.

@AGENT_APP.error
async def on_error(context: TurnContext, error: Exception):
    # This check writes out errors to console log
    # 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.")

Features

HTTP hosting - Full aiohttp integration for web hosting
JWT authentication - Built-in security with middleware
Agent-to-agent - Support for multi-agent communication
Streaming - Real-time response streaming
Error handling - Comprehensive error management
Development friendly - Hot reload and debugging support

Requirements

  • Python 3.10+ (supports 3.10, 3.11, 3.12, 3.13, 3.14)
  • aiohttp 3.11.11+
  • Microsoft Agents hosting core library

Best Practices

  1. Use middleware for cross-cutting concerns like auth and logging
  2. Handle errors gracefully with custom error handlers
  3. Secure your endpoints with JWT middleware in production
  4. Structure routes logically for agent communication

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

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