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agent-framework/python/packages/copilotstudio
T
Eduard van Valkenburg 838a7fd61d Python: [BREAKING] Types API Review improvements (#3647)
* Replace Role and FinishReason classes with NewType + Literal

- Remove EnumLike metaclass from _types.py
- Replace Role class with NewType('Role', str) + RoleLiteral
- Replace FinishReason class with NewType('FinishReason', str) + FinishReasonLiteral
- Update all usages across codebase to use string literals
- Remove .value access patterns (direct string comparison now works)
- Add backward compatibility for legacy dict serialization format
- Update tests to reflect new string-based types

Addresses #3591, #3615

* Simplify ChatResponse and AgentResponse type hints (#3592)

- Remove overloads from ChatResponse.__init__
- Remove text parameter from ChatResponse.__init__
- Remove | dict[str, Any] from finish_reason and usage_details params
- Remove **kwargs from AgentResponse.__init__
- Both now accept ChatMessage | Sequence[ChatMessage] | None for messages
- Update docstrings and examples to reflect changes
- Fix tests that were using removed kwargs
- Fix Role type hint usage in ag-ui utils

* Remove text parameter from ChatResponseUpdate and AgentResponseUpdate (#3597)

- Remove text parameter from ChatResponseUpdate.__init__
- Remove text parameter from AgentResponseUpdate.__init__
- Remove **kwargs from both update classes
- Simplify contents parameter type to Sequence[Content] | None
- Update all usages to use contents=[Content.from_text(...)] pattern
- Fix imports in test files
- Update docstrings and examples

* Rename from_chat_response_updates to from_updates (#3593)

- ChatResponse.from_chat_response_updates โ†’ ChatResponse.from_updates
- ChatResponse.from_chat_response_generator โ†’ ChatResponse.from_update_generator
- AgentResponse.from_agent_run_response_updates โ†’ AgentResponse.from_updates

* Remove try_parse_value method from ChatResponse and AgentResponse (#3595)

- Remove try_parse_value method from ChatResponse
- Remove try_parse_value method from AgentResponse
- Remove try_parse_value calls from from_updates and from_update_generator methods
- Update samples to use try/except with response.value instead
- Update tests to use response.value pattern
- Users should now use response.value with try/except for safe parsing

* Add agent_id to AgentResponse and clarify author_name documentation (#3596)

- Add agent_id parameter to AgentResponse class
- Document that author_name is on ChatMessage objects, not responses
- Update ChatResponse docstring with author_name note
- Update AgentResponse docstring with author_name note

* Simplify ChatMessage.__init__ signature (#3618)

- Make contents a positional argument accepting Sequence[Content | str]
- Auto-convert strings in contents to TextContent
- Remove overloads, keep text kwarg for backward compatibility with serialization
- Update _parse_content_list to handle string items
- Update all usages across codebase to use new format: ChatMessage("role", ["text"])

* Allow Content as input on run and get_response

- Update prepare_messages and normalize_messages to accept Content
- Update type signatures in _agents.py and _clients.py
- Add tests for Content input handling

* Fix ChatMessage usage across packages and samples

Update all remaining ChatMessage(role=..., text=...) to use new
ChatMessage('role', ['text']) signature.

* Fix Role string usage and response format parsing

- Fix redis provider: remove .value access on string literals
- Fix durabletask ensure_response_format: set _response_format before accessing .value

* Fix ollama .value and ai_model_id issues, handle None in content list

- Fix ollama _chat_client: remove .value on string literals
- Fix ollama _chat_client: rename ai_model_id to model_id
- Fix _parse_content_list: skip None values gracefully

* Fix A2AAgent type signature to include Content

* Fix Role/FinishReason NewType dict annotations and improve test coverage to 95%

* Fix mypy errors for Role/FinishReason NewType usage

* Fix Role.TOOL and Role.ASSISTANT usage in _orchestrator_helpers.py

* Fix Role NewType usage in durabletask _models.py
838a7fd61d ยท 2026-02-04 10:13:23 +00:00
History
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2025-10-02 18:50:47 +00:00

Get Started with Microsoft Agent Framework Copilot Studio

Please install this package via pip:

pip install agent-framework-copilotstudio --pre

Copilot Studio Agent

The Copilot Studio agent enables integration with Microsoft Copilot Studio, allowing you to interact with published copilots through the Agent Framework.

Prerequisites

Before using the Copilot Studio agent, you need:

  1. Copilot Studio Environment: Access to a Microsoft Copilot Studio environment with a published copilot
  2. App Registration: An Azure AD App Registration with appropriate permissions for Power Platform API
  3. Environment Configuration: Set the required environment variables or pass them as parameters

Environment Variables

The following environment variables are used for configuration:

  • COPILOTSTUDIOAGENT__ENVIRONMENTID - Your Copilot Studio environment ID
  • COPILOTSTUDIOAGENT__SCHEMANAME - Your copilot's agent identifier/schema name
  • COPILOTSTUDIOAGENT__AGENTAPPID - Your App Registration client ID
  • COPILOTSTUDIOAGENT__TENANTID - Your Azure AD tenant ID

Basic Usage Example

import asyncio
from agent_framework.microsoft import CopilotStudioAgent

async def main():
    # Create agent using environment variables
    agent = CopilotStudioAgent()

    # Run a simple query
    result = await agent.run("What is the capital of France?")
    print(result)

asyncio.run(main())

Explicit Configuration Example

import asyncio
import os
from agent_framework.microsoft import CopilotStudioAgent, acquire_token
from microsoft_agents.copilotstudio.client import ConnectionSettings, CopilotClient, PowerPlatformCloud, AgentType

async def main():
    # Acquire authentication token
    token = acquire_token(
        client_id=os.environ["COPILOTSTUDIOAGENT__AGENTAPPID"],
        tenant_id=os.environ["COPILOTSTUDIOAGENT__TENANTID"]
    )

    # Create connection settings
    settings = ConnectionSettings(
        environment_id=os.environ["COPILOTSTUDIOAGENT__ENVIRONMENTID"],
        agent_identifier=os.environ["COPILOTSTUDIOAGENT__SCHEMANAME"],
        cloud=PowerPlatformCloud.PROD,
        copilot_agent_type=AgentType.PUBLISHED,
        custom_power_platform_cloud=None
    )

    # Create client and agent
    client = CopilotClient(settings=settings, token=token)
    agent = CopilotStudioAgent(client=client)

    # Run a query
    result = await agent.run("What is the capital of Italy?")
    print(result)

asyncio.run(main())

Authentication

The package uses MSAL (Microsoft Authentication Library) for authentication with interactive flows when needed. Ensure your App Registration has:

  • API Permissions: Power Platform API permissions (https://api.powerplatform.com/.default)
  • Redirect URIs: Configured appropriately for your authentication method
  • Public Client Flows: Enabled if using interactive authentication

Examples

For more comprehensive examples, see the Copilot Studio examples which demonstrate:

  • Basic non-streaming and streaming execution
  • Explicit settings and manual token acquisition
  • Different authentication patterns
  • Error handling and troubleshooting