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Quickstart: Create an agent with the Agents SDK for Python

This quickstart guides you through creating a custom engine agent that replies back with whatever message you send to it.

Prerequisites

  • Python 3.9 or newer.

    • To install Python, go to https://www.python.org/downloads/, and follow the instructions for your operating system.
    • To verify the version, in a terminal window type python --version.
  • A code editor of your choice. These instructions use Visual Studio Code.

    If you use Visual Studio Code, install the Python extension

Initialize the project and install the SDK

Create a Python project and install the required dependencies.

  1. Open a terminal and create a new folder

    mkdir echo
    cd echo
    
  2. Open the folder using Visual Studio Code using this command:

    code .
    
  3. Create a virtual environment with the method of your choice and activate it either through Visual Studio Code or in a terminal.

    When using Visual Studio Code, you can use these steps with the Python extension installed.

    1. Press F1, type Python: Create environment, and press Enter.

      1. Select Venv to create a .venv virtual environment in the current workspace.

      2. Select a Python installation to create the virtual environment.

        The value might look like this:

        Python 1.13.6 ~\AppData\Local\Programs\Python\Python313\python.exe

  4. Install the Agents SDK

    Use pip to install the microsoft-agents-hosting-aiohttp package with this command:

    pip install microsoft-agents-hosting-aiohttp
    

Create the server application and import the required libraries

  1. Create a file named start_server.py, copy the following code, and paste it in:

    # start_server.py
    from os import environ
    from microsoft_agents.hosting.core import AgentApplication, AgentAuthConfiguration
    from microsoft_agents.hosting.aiohttp import (
       start_agent_process,
       jwt_authorization_middleware,
       CloudAdapter,
    )
    from aiohttp.web import Request, Response, Application, run_app
    
    
    def start_server(
       agent_application: AgentApplication, auth_configuration: AgentAuthConfiguration
    ):
       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.router.add_get("/api/messages", lambda _: Response(status=200))
       APP["agent_configuration"] = auth_configuration
       APP["agent_app"] = agent_application
       APP["adapter"] = agent_application.adapter
    
       try:
          run_app(APP, host="localhost", port=environ.get("PORT", 3978))
       except Exception as error:
          raise error
    

    This code defines a start_server function we'll use in the next file.

  2. In the same directory, create a file named app.py with the following code.

    # app.py
    from microsoft_agents.hosting.core import (
       AgentApplication,
       TurnState,
       TurnContext,
       MemoryStorage,
    )
    from microsoft_agents.hosting.aiohttp import CloudAdapter
    from start_server import start_server
    

Create an instance of the Agent as an AgentApplication

In app.py, add the following code to create the AGENT_APP as an instance of the AgentApplication, and implement three routes to respond to three events:

  • Conversation Update
  • the message /help
  • any other activity
AGENT_APP = AgentApplication[TurnState](
    storage=MemoryStorage(), adapter=CloudAdapter()
)

async def _help(context: TurnContext, _: TurnState):
    await context.send_activity(
        "Welcome to the Echo Agent sample 🚀. "
        "Type /help for help or send a message to see the echo feature in action."
    )

AGENT_APP.conversation_update("membersAdded")(_help)

AGENT_APP.message("/help")(_help)


@AGENT_APP.activity("message")
async def on_message(context: TurnContext, _):
    await context.send_activity(f"you said: {context.activity.text}")

Start the web server to listen in localhost:3978

At the end of app.py, start the web server using start_server.

if __name__ == "__main__":
    try:
        start_server(AGENT_APP, None)
    except Exception as error:
        raise error

Run the Agent locally in anonymous mode

From your terminal, run this command:

python app.py

The terminal should return the following:

======== Running on http://localhost:3978 ========
(Press CTRL+C to quit)

Test the agent locally

  1. From another terminal (to keep the agent running) install the Microsoft 365 Agents Playground with this command:

    npm install -g @microsoft/teams-app-test-tool
    

    Note

    This command uses npm because the Microsoft 365 Agents Playground isn't available using pip.

    The terminal should return something like:

    added 1 package, and audited 130 packages in 1s
    
    19 packages are looking for funding
    run `npm fund` for details
    
    found 0 vulnerabilities
    
  2. Run the test tool to interact with your agent using this command:

    teamsapptester
    

    The terminal should return something like:

    Telemetry: agents-playground-cli/serverStart {"cleanProperties":{"options":"{\"configFileOptions\":{\"path\":\"<REDACTED: user-file-path>\"},\"appConfig\":{},\"port\":56150,\"disableTelemetry\":false}"}}
    
    Telemetry: agents-playground-cli/cliStart {"cleanProperties":{"isExec":"false","argv":"<REDACTED: user-file-path>,<REDACTED: user-file-path>"}}
    
    Listening on 56150
    Microsoft 365 Agents Playground is being launched for you to debug the app: http://localhost:56150
    started web socket client
    started web socket client
    Waiting for connection of endpoint: http://127.0.0.1:3978/api/messages
    waiting for 1 resources: http://127.0.0.1:3978/api/messages
    wait-on(37568) complete
    Telemetry: agents-playground-server/getConfig {"cleanProperties":{"internalConfig":"{\"locale\":\"en-US\",\"localTimezone\":\"America/Los_Angeles\",\"channelId\":\"msteams\"}"}}
    
    Telemetry: agents-playground-server/sendActivity {"cleanProperties":{"activityType":"installationUpdate","conversationId":"5305bb42-59c9-4a4c-a2b6-e7a8f4162ede","headers":"{\"x-ms-agents-playground\":\"true\"}"}}
    
    Telemetry: agents-playground-server/sendActivity {"cleanProperties":{"activityType":"conversationUpdate","conversationId":"5305bb42-59c9-4a4c-a2b6-e7a8f4162ede","headers":"{\"x-ms-agents-playground\":\"true\"}"}}
    

The teamsapptester command opens your default browser and connects to your agent.

Your agent in the agents playground

Now you can send any message to see the echo reply, or send the message /help to see how that message is routed to the _help handler.

Next steps

Provision Azure Bot resources to use with Agents SDK