mirror of
https://github.com/microsoft/agent-framework.git
synced 2026-06-16 21:04:09 +08:00
Eduard van Valkenburg
a2856d3b92
* 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file with only comment path updates (100 files) - One import-fix diff (workflow_as_agent_human_in_the_loop.py) - One superseded minimal_sample.py Resource files (sample.pdf, countries.json, employees.pdf, weather.json) copied to 02-agents/sample_assets/ and 02-agents/resources/ since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
76 lines
2.3 KiB
Python
76 lines
2.3 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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from typing import Annotated, Any
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import anyio
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from agent_framework import tool
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from agent_framework.openai import OpenAIResponsesClient
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"""
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This sample demonstrates how to expose an Agent as an MCP server.
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To run this sample, set up your MCP host (like Claude Desktop or VSCode GitHub Copilot Agents)
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with the following configuration:
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```json
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{
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"servers": {
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"agent-framework": {
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"command": "uv",
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"args": [
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"--directory=<path to project>/agent-framework/python/samples/getting_started/mcp",
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"run",
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"agent_as_mcp_server.py"
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],
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"env": {
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"OPENAI_API_KEY": "<OpenAI API key>",
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"OPENAI_RESPONSES_MODEL_ID": "<OpenAI Responses model ID>",
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}
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}
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}
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}
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```
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"""
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# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/02-agents/tools/function_tool_with_approval.py and samples/02-agents/tools/function_tool_with_approval_and_threads.py.
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@tool(approval_mode="never_require")
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def get_specials() -> Annotated[str, "Returns the specials from the menu."]:
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return """
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Special Soup: Clam Chowder
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Special Salad: Cobb Salad
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Special Drink: Chai Tea
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"""
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@tool(approval_mode="never_require")
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def get_item_price(
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menu_item: Annotated[str, "The name of the menu item."],
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) -> Annotated[str, "Returns the price of the menu item."]:
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return "$9.99"
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async def run() -> None:
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# Define an agent
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# Agent's name and description provide better context for AI model
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agent = OpenAIResponsesClient().as_agent(
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name="RestaurantAgent",
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description="Answer questions about the menu.",
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tools=[get_specials, get_item_price],
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)
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# Expose the agent as an MCP server
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server = agent.as_mcp_server()
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# Run server
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from mcp.server.stdio import stdio_server
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async def handle_stdin(stdin: Any | None = None, stdout: Any | None = None) -> None:
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async with stdio_server() as (read_stream, write_stream):
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await server.run(read_stream, write_stream, server.create_initialization_options())
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await handle_stdin()
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if __name__ == "__main__":
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anyio.run(run)
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