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>
This commit is contained in:
Eduard van Valkenburg
2026-03-25 10:56:29 +01:00
committed by GitHub
Unverified
parent 4b533608b6
commit 5e056b672e
485 changed files with 9784 additions and 12084 deletions
@@ -9,21 +9,19 @@
# Copyright (c) Microsoft. All rights reserved.
"""Create an OpenAI Assistant using SK and Agent Framework."""
import asyncio
import os
from agent_framework import Agent
from dotenv import load_dotenv
# Load environment variables from .env file
load_dotenv()
ASSISTANT_MODEL = os.environ.get("OPENAI_ASSISTANT_MODEL", "gpt-4o-mini")
async def run_semantic_kernel() -> None:
from semantic_kernel.agents import AssistantAgentThread, OpenAIAssistantAgent
client = OpenAIAssistantAgent.create_client()
# Provision the assistant on the OpenAI Assistants service.
definition = await client.beta.assistants.create(
@@ -32,7 +30,6 @@ async def run_semantic_kernel() -> None:
instructions="Answer questions in one concise paragraph.",
)
agent = OpenAIAssistantAgent(client=client, definition=definition)
thread: AssistantAgentThread | None = None
response = await agent.get_response("What is the capital of Denmark?", thread=thread)
thread = response.thread
@@ -43,13 +40,10 @@ async def run_semantic_kernel() -> None:
async def run_agent_framework() -> None:
from agent_framework.openai import OpenAIAssistantsClient
assistants_client = OpenAIAssistantsClient()
# AF wraps the assistant lifecycle with an async context manager.
async with assistants_client.as_agent(
name="Helper",
instructions="Answer questions in one concise paragraph.",
model=ASSISTANT_MODEL,
async with Agent(
client=assistants_client,
) as assistant_agent:
session = assistant_agent.create_session()
reply = await assistant_agent.run("What is the capital of Denmark?", session=session)
@@ -1,4 +1,5 @@
# /// script
# requires-python = ">=3.10"
# dependencies = [
# "semantic-kernel",
@@ -12,6 +13,7 @@
import asyncio
from agent_framework import Agent
from dotenv import load_dotenv
# Load environment variables from .env file
@@ -50,7 +52,7 @@ async def run_agent_framework() -> None:
code_interpreter_tool = OpenAIAssistantsClient.get_code_interpreter_tool()
# AF exposes the same tool configuration via create_agent.
async with assistants_client.as_agent(
async with Agent(client=assistants_client,
name="CodeRunner",
instructions="Use the code interpreter when calculations are required.",
model="gpt-4.1",
@@ -69,7 +69,7 @@ async def run_semantic_kernel() -> None:
async def run_agent_framework() -> None:
from agent_framework import tool
from agent_framework import Agent, tool
from agent_framework.openai import OpenAIAssistantsClient
@tool(
@@ -81,7 +81,7 @@ async def run_agent_framework() -> None:
assistants_client = OpenAIAssistantsClient()
# AF converts the decorated function into an assistant-compatible tool.
async with assistants_client.as_agent(
async with Agent(client=assistants_client,
name="WeatherHelper",
instructions="Call get_forecast to fetch weather details.",
model=ASSISTANT_MODEL,