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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

141 lines
5.0 KiB
Python

# Copyright (c) Microsoft. All rights reserved.
import asyncio
from collections.abc import Awaitable, Callable
from random import randint
from typing import Annotated
from agent_framework import (
Agent,
FunctionInvocationContext,
tool,
)
from agent_framework.foundry import FoundryChatClient
from azure.identity.aio import AzureCliCredential
from dotenv import load_dotenv
from pydantic import Field
# Load environment variables from .env file
load_dotenv()
"""
Shared State Function-based MiddlewareTypes Example
This sample demonstrates how to implement function-based middleware within a class to share state.
The example includes:
- A MiddlewareContainer class with two simple function middleware methods
- First middleware: Counts function calls and stores the count in shared state
- Second middleware: Uses the shared count to add call numbers to function results
This approach shows how middleware can work together by sharing state within the same class instance.
"""
# 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, Field(description="The location to get the weather for.")],
) -> str:
"""Get the weather for a given location."""
conditions = ["sunny", "cloudy", "rainy", "stormy"]
return f"The weather in {location} is {conditions[randint(0, 3)]} with a high of {randint(10, 30)}°C."
@tool(approval_mode="never_require")
def get_time(
timezone: Annotated[str, Field(description="The timezone to get the time for.")] = "UTC",
) -> str:
"""Get the current time for a given timezone."""
import datetime
return f"The current time in {timezone} is {datetime.datetime.now().strftime('%H:%M:%S')}"
class MiddlewareContainer:
"""Container class that holds middleware functions with shared state."""
def __init__(self) -> None:
# Simple shared state: count function calls
self.call_count: int = 0
async def call_counter_middleware(
self,
context: FunctionInvocationContext,
call_next: Callable[[], Awaitable[None]],
) -> None:
"""First middleware: increments call count in shared state."""
# Increment the shared call count
self.call_count += 1
print(f"[CallCounter] This is function call #{self.call_count}")
# Call the next middleware/function
await call_next()
async def result_enhancer_middleware(
self,
context: FunctionInvocationContext,
call_next: Callable[[], Awaitable[None]],
) -> None:
"""Second middleware: uses shared call count to enhance function results."""
print(f"[ResultEnhancer] Current total calls so far: {self.call_count}")
# Call the next middleware/function
await call_next()
# After function execution, enhance the result using shared state
if context.result:
enhanced_result = f"[Call #{self.call_count}] {context.result}"
context.result = enhanced_result
print("[ResultEnhancer] Enhanced result with call number")
async def main() -> None:
"""Example demonstrating shared state function-based middleware."""
print("=== Shared State Function-based MiddlewareTypes Example ===")
# Create middleware container with shared state
middleware_container = MiddlewareContainer()
# For authentication, run `az login` command in terminal or replace AzureCliCredential with preferred
# authentication option.
async with (
AzureCliCredential() as credential,
Agent(
client=FoundryChatClient(credential=credential),
name="UtilityAgent",
instructions="You are a helpful assistant that can provide weather information and current time.",
tools=[get_weather, get_time],
# Pass both middleware functions from the same container instance
# Order matters: counter runs first to increment count,
# then result enhancer uses the updated count
middleware=[
middleware_container.call_counter_middleware,
middleware_container.result_enhancer_middleware,
],
) as agent,
):
# Test multiple requests to see shared state in action
queries = [
"What's the weather like in New York?",
"What time is it in London?",
"What's the weather in Tokyo?",
]
for i, query in enumerate(queries, 1):
print(f"\n--- Query {i} ---")
print(f"User: {query}")
result = await agent.run(query)
print(f"Agent: {result.text if result.text else 'No response'}")
# Display final statistics
print("\n=== Final Statistics ===")
print(f"Total function calls made: {middleware_container.call_count}")
if __name__ == "__main__":
asyncio.run(main())