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Eduard van Valkenburg 5e056b672e Python: [BREAKING] Python: Provider-leading client design & OpenAI package extraction (#4818)
* Python: Provider-leading client design & OpenAI package extraction

Major refactoring of the Python Agent Framework client architecture:

- Extract OpenAI clients into new `agent-framework-openai` package
- Core package no longer depends on openai, azure-identity, azure-ai-projects
- Rename clients for discoverability: OpenAIResponsesClient → OpenAIChatClient,
  OpenAIChatClient → OpenAIChatCompletionClient
- Unify `model_id`/`deployment_name`/`model_deployment_name` → `model` param
- New FoundryChatClient for Azure AI Foundry Responses API
- New FoundryAgent/FoundryAgentClient for connecting to pre-configured Foundry agents
- Remove OpenAIBase/OpenAIConfigMixin from non-deprecated client MRO
- Deprecate AzureOpenAI* clients, AzureAIClient, OpenAIAssistantsClient
- Reorganize samples: azure_openai+azure_ai+azure_ai_agent → azure/
- ADR-0020: Provider-Leading Client Design

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix: missing Agent imports in samples, .model_id → .model in foundry_local sample

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix: CI failures — mypy errors, coverage targets, sample imports

- azure-ai mypy: add type ignores for TypedDict total=, model arg, forward ref
- Coverage: replace core.azure/openai targets with openai package target
- project_provider: add type annotation for opts dict

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix: populate openai .pyi stub, fix broken README links, coverage targets

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fixes

* updated observabilitty

* reset azure init.pyi

* fix errors

* updated adr number

* fix foundry local

* fixed not renamed docstrings and comments, and added deprecated markers to old classes

* fix tests and pyprojects

* fix test vars

* updated function tests

* update durable

* updated test setup for functions

* Fix Foundry auth in workflow samples

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Stabilize Python integration workflows

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Update hosting samples for Foundry

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Trigger full CI rerun

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Trigger CI rerun again

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* trigger rerun

* trigger rerun

* fix for litellm

* undo durabletask changes

* Move Foundry APIs into foundry namespace

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix Foundry pyproject formatting

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Split provider samples by Foundry surface

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Restore hosting sample requirements

Also fix the Foundry Local sample link after the provider sample move.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* updated tests

* udpated foundry integration tests

* removed dist from azurefunctions tests

* Use separate Foundry clients for concurrent agents

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix client setup in azfunc and durable

* disabled two tests

* updated setup for some function and durable tests

* improved azure openai setup with new clients

* ignore deprecated

* fixes

* skip 11

* remove openai assistants int tests

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-03-25 09:56:29 +00:00

186 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,
chat_middleware,
function_middleware,
tool,
)
from agent_framework.foundry import FoundryChatClient
from agent_framework_devui import register_cleanup
from dotenv import load_dotenv
# Load environment variables from .env file
load_dotenv()
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 == "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="assistant",
)
response = ChatResponse(messages=[Message(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="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_sessions.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=FoundryChatClient(
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()