Files
Eduard van Valkenburg a2856d3b92 Python: restructure: Python samples into progressive 01-05 layout (#3862)
* 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- One superseded minimal_sample.py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
2026-02-12 17:36:36 +00:00

182 lines
6.3 KiB
Python

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