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Semantic Kernel - CopilotStudioAgent Quickstart

This README provides an overview on how to use the CopilotStudioAgent within Semantic Kernel. This agent allows you to interact with Microsoft Copilot Studio agents through programmatic APIs.

Note: Knowledge sources must be configured within Microsoft Copilot Studio first. Streaming responses are not currently supported.


🔧 Prerequisites

  1. Python 3.10+
  2. Install Semantic Kernel with Copilot Studio dependencies:
    pip install semantic-kernel
    pip install microsoft-agents-hosting-core microsoft-agents-copilotstudio-client
    
  3. An agent created in Microsoft Copilot Studio
  4. Ability to create an application identity in Azure for a Public Client/Native App Registration, or access to an existing app registration with the CopilotStudio.Copilots.Invoke API permission assigned.

Create a Copilot Agent in Copilot Studio

  1. Go to Microsoft Copilot Studio.

  2. Create a new Agent.

  3. Publish your newly created Agent.

  4. In Copilot Studio, navigate to: SettingsAdvancedMetadata

    Save the following values:

    • Schema Name (maps to agent_identifier)
    • Environment ID

Create an Application Registration in Entra ID User Interactive Login

This step requires permissions to create application identities in your Azure tenant.

You will create a Native Client Application Identity (no client secret required).

  1. Open Azure Portal

  2. Navigate to Entra ID

  3. Go to App registrationsNew registration

  4. Fill out:

    • Name: Any name you like
    • Supported account types: Accounts in this organization directory only
    • Redirect URI:
      • Platform: Public client/native (mobile & desktop)
      • URI: http://localhost
  5. Click Register

  6. From the Overview page, note:

    • Application (client) ID
    • Directory (tenant) ID
  7. Go to: ManageAPI permissions

    • Click Add permission
    • Choose APIs my organization uses
    • Search for: Power Platform API

    If it's not listed, see Tip below.

  8. Choose:

    • Delegated Permissions
    • Expand CopilotStudio
    • Select CopilotStudio.Copilots.Invoke
  9. Click Add permissions

  10. (Optional) Click Grant admin consent

Tip

If you do not see Power Platform API, follow Step 2 in Power Platform API Authentication to add the API to your tenant.


Configure the Example Application - User Interactive Login

Once you've collected all required values:

  1. Set the following environment variables in your terminal or .env file:
COPILOT_STUDIO_AGENT_APP_CLIENT_ID=<your-app-client-id>
COPILOT_STUDIO_AGENT_TENANT_ID=<your-tenant-id>
COPILOT_STUDIO_AGENT_ENVIRONMENT_ID=<your-env-id>
COPILOT_STUDIO_AGENT_AGENT_IDENTIFIER=<your-agent-id>
COPILOT_STUDIO_AGENT_AUTH_MODE=interactive

Create an Application Registration in Entra ID Service Principal Login

Warning

: Service Principal login is not yet supported in the current version of the CopilotStudioClient.

Creating a CopilotStudioAgent Client

If all required environment variables are set correctly, you don't need to manually create or pass a client. Semantic Kernel will automatically construct the client using the environment configuration.

However, if you need to override any environment variables—such as when specifying custom credentials or cloud settings—you should create the client explicitly using CopilotStudioAgent.create_client(...) and then pass it to the agent constructor.

client: CopilotClient = CopilotStudioAgent.create_client(
   auth_mode: CopilotStudioAgentAuthMode | Literal["interactive", "service"] | None = None,
   agent_identifier: str | None = None,
   app_client_id: str | None = None,
   client_secret: str | None = None,
   client_certificate: str | None = None,
   cloud: PowerPlatformCloud | None = None,
   copilot_agent_type: AgentType | None = None,
   custom_power_platform_cloud: str | None = None,
   env_file_encoding: str | None = None,
   env_file_path: str | None = None,
   environment_id: str | None = None,
   tenant_id: str | None = None,
   user_assertion: str | None = None,
)

agent = CopilotStudioAgent(
   client=client,
   name="<name>",
   instructions="<instructions>",
)