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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file with only comment path updates (100 files) - One import-fix diff (workflow_as_agent_human_in_the_loop.py) - One superseded minimal_sample.py Resource files (sample.pdf, countries.json, employees.pdf, weather.json) copied to 02-agents/sample_assets/ and 02-agents/resources/ since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
182 lines
6.3 KiB
Python
182 lines
6.3 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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"""Sample weather agent for Agent Framework Debug UI."""
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import logging
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import os
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from collections.abc import AsyncIterable, Awaitable, Callable
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from typing import Annotated
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from agent_framework import (
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Agent,
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ChatContext,
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ChatResponse,
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ChatResponseUpdate,
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Content,
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FunctionInvocationContext,
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Message,
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MiddlewareTermination,
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ResponseStream,
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Role,
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chat_middleware,
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function_middleware,
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tool,
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)
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from agent_framework.azure import AzureOpenAIChatClient
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from agent_framework_devui import register_cleanup
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logger = logging.getLogger(__name__)
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def cleanup_resources():
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"""Cleanup function that runs when DevUI shuts down."""
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logger.info("=" * 60)
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logger.info(" Cleaning up resources...")
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logger.info(" (In production, this would close credentials, sessions, etc.)")
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logger.info("=" * 60)
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@chat_middleware
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async def security_filter_middleware(
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context: ChatContext,
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call_next: Callable[[], Awaitable[None]],
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) -> None:
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"""Chat middleware that blocks requests containing sensitive information."""
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blocked_terms = ["password", "secret", "api_key", "token"]
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# Check only the last message (most recent user input)
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last_message = context.messages[-1] if context.messages else None
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if last_message and last_message.role == Role.USER and last_message.text:
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message_lower = last_message.text.lower()
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for term in blocked_terms:
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if term in message_lower:
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error_message = (
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"I cannot process requests containing sensitive information. "
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"Please rephrase your question without including passwords, secrets, "
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"or other sensitive data."
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)
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if context.stream:
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# Streaming mode: wrap in ResponseStream
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async def blocked_stream(msg: str = error_message) -> AsyncIterable[ChatResponseUpdate]:
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yield ChatResponseUpdate(
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contents=[Content.from_text(text=msg)],
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role=Role.ASSISTANT,
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)
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response = ChatResponse(
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messages=[Message(role=Role.ASSISTANT, text=error_message)]
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)
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context.result = ResponseStream(blocked_stream(), finalizer=lambda _, r=response: r)
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else:
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# Non-streaming mode: return complete response
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context.result = ChatResponse(
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messages=[
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Message(
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role=Role.ASSISTANT,
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text=error_message,
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)
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]
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)
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raise MiddlewareTermination(result=context.result)
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await call_next()
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@function_middleware
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async def atlantis_location_filter_middleware(
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context: FunctionInvocationContext,
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call_next: Callable[[], Awaitable[None]],
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) -> None:
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"""Function middleware that blocks weather requests for Atlantis."""
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# Check if location parameter is "atlantis"
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location = getattr(context.arguments, "location", None)
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if location and location.lower() == "atlantis":
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context.result = (
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"Blocked! Hold up right there!! Tell the user that "
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"'Atlantis is a special place, we must never ask about the weather there!!'"
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)
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raise MiddlewareTermination(result=context.result)
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await call_next()
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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_weather(
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location: Annotated[str, "The location to get the weather for."],
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) -> str:
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"""Get the weather for a given location."""
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conditions = ["sunny", "cloudy", "rainy", "stormy"]
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temperature = 53
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return f"The weather in {location} is {conditions[0]} with a high of {temperature}°C."
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@tool(approval_mode="never_require")
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def get_forecast(
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location: Annotated[str, "The location to get the forecast for."],
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days: Annotated[int, "Number of days for forecast"] = 3,
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) -> str:
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"""Get weather forecast for multiple days."""
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conditions = ["sunny", "cloudy", "rainy", "stormy"]
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forecast: list[str] = []
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for day in range(1, days + 1):
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condition = conditions[0]
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temp = 53
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forecast.append(f"Day {day}: {condition}, {temp}°C")
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return f"Weather forecast for {location}:\n" + "\n".join(forecast)
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@tool(approval_mode="always_require")
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def send_email(
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recipient: Annotated[str, "The email address of the recipient."],
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subject: Annotated[str, "The subject of the email."],
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body: Annotated[str, "The body content of the email."],
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) -> str:
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"""Simulate sending an email."""
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return f"Email sent to {recipient} with subject '{subject}'."
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# Agent instance following Agent Framework conventions
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agent = Agent(
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name="AzureWeatherAgent",
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description="A helpful agent that provides weather information and forecasts",
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instructions="""
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You are a weather assistant. You can provide current weather information
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and forecasts for any location. Always be helpful and provide detailed
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weather information when asked.
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""",
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client=AzureOpenAIChatClient(
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api_key=os.environ.get("AZURE_OPENAI_API_KEY", ""),
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),
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tools=[get_weather, get_forecast, send_email],
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middleware=[security_filter_middleware, atlantis_location_filter_middleware],
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)
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# Register cleanup hook - demonstrates resource cleanup on shutdown
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register_cleanup(agent, cleanup_resources)
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def main():
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"""Launch the Azure weather agent in DevUI."""
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import logging
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from agent_framework.devui import serve
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# Setup logging
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logging.basicConfig(level=logging.INFO, format="%(message)s")
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logger = logging.getLogger(__name__)
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logger.info("Starting Azure Weather Agent")
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logger.info("Available at: http://localhost:8090")
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logger.info("Entity ID: agent_AzureWeatherAgent")
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# Launch server with the agent
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serve(entities=[agent], port=8090, auto_open=True)
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if __name__ == "__main__":
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main()
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