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* restructure: Python samples into progressive 01-05 layout - 01-get-started/: 6 numbered steps (hello agent → hosting) - 02-agents/: all agent concept samples (tools, middleware, providers, etc.) - 03-workflows/: ALL existing workflow samples preserved as-is - 04-hosting/: azure-functions, durabletask, a2a - 05-end-to-end/: demos, evaluation, hosted agents - Old files moved to _to_delete/ for review - Added AGENTS.md with structure documentation - autogen-migration/ and semantic-kernel-migration/ preserved at root * fix: switch to AzureOpenAI Foundry, fix CI failures - Switch all 01-get-started samples to AzureOpenAIResponsesClient with Azure AI Foundry project endpoint (AZURE_AI_PROJECT_ENDPOINT + AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME + AzureCliCredential) - Add _to_delete/ and 05-end-to-end/ to pyrightconfig.samples.json excludes - Fix test paths in packages/ that referenced old getting_started/ dirs: durabletask conftest + streaming test, azurefunctions conftest, devui conftest + capture_messages + openai_sdk_integration - Fix workflow_as_agent_human_in_the_loop.py import (sibling import) - Update hosting READMEs and tool comment paths - Replace root README.md with new structure overview - Update AGENTS.md to document Azure OpenAI Foundry as default provider * cleanup: remove _to_delete folder, copy resource files to active dirs All files in _to_delete/ were either: - Exact duplicates of files in the new structure (240 files) - Same file with only comment path updates (100 files) - One import-fix diff (workflow_as_agent_human_in_the_loop.py) - One superseded minimal_sample.py Resource files (sample.pdf, countries.json, employees.pdf, weather.json) copied to 02-agents/sample_assets/ and 02-agents/resources/ since active samples reference them. * fix: address PR review comments, centralize resources, remove root duplicates - Fix type annotation in 04_memory.py (string union -> proper types) - Fix old sample paths in observability files - Fix grammar/spelling in observability samples - Move sample_assets/ and resources/ to shared/ folder - Remove 8 duplicate observability files from 02-agents root - Update resource path references in multimodal_input and provider samples * fix: update broken links from old getting_started paths to new structure - Update relative paths in READMEs: getting_started/ → 01-get-started/, 02-agents/, 03-workflows/, 04-hosting/, 05-end-to-end/ - Fix absolute GitHub URLs in package READMEs - Fix broken link in ollama package README * fix: convert absolute GitHub URLs to relative paths for link checker Absolute URLs to python/samples/ on main branch 404 until PR merges. Converted to relative paths that linkspector can verify locally. * fix: update link for handoff sample moved to orchestrations/ * fix: update chatkit-integration README path from demos/ to 05-end-to-end/ * fix: update broken links in orchestrations README to match flat directory structure
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3.2 KiB
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:
- Copilot Studio Environment: Access to a Microsoft Copilot Studio environment with a published copilot
- App Registration: An Azure AD App Registration with appropriate permissions for Power Platform API
- 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 IDCOPILOTSTUDIOAGENT__SCHEMANAME- Your copilot's agent identifier/schema nameCOPILOTSTUDIOAGENT__AGENTAPPID- Your App Registration client IDCOPILOTSTUDIOAGENT__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