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>

python/samples/03-workflows/declarative/deep_research/main.py

@@ -25,14 +25,14 @@ import asyncio
 import os
 from pathlib import Path
 
-from agent_framework.azure import AzureOpenAIResponsesClient
+from agent_framework import Agent
 from agent_framework.declarative import WorkflowFactory
+from agent_framework.foundry import FoundryChatClient
 from azure.identity import AzureCliCredential
-from dotenv import load_dotenv
 from pydantic import BaseModel, Field
 
-# Load environment variables from .env file
-load_dotenv()
+# Copyright (c) Microsoft. All rights reserved.
+
 
 # Agent Instructions
 RESEARCH_INSTRUCTIONS = """In order to help begin addressing the user request, please answer the following pre-survey to the best of your ability.
@@ -124,45 +124,52 @@ class ManagerResponse(BaseModel):
 async def main() -> None:
     """Run the deep research workflow."""
     # Create Azure OpenAI client
-    client = AzureOpenAIResponsesClient(
-        project_endpoint=os.environ["AZURE_AI_PROJECT_ENDPOINT"],
-        deployment_name=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
+    client = FoundryChatClient(
+        project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
+        model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
         credential=AzureCliCredential(),
     )
 
     # Create agents
-    research_agent = client.as_agent(
+    research_agent = Agent(
+        client=client,
         name="ResearchAgent",
         instructions=RESEARCH_INSTRUCTIONS,
     )
 
-    planner_agent = client.as_agent(
+    planner_agent = Agent(
+        client=client,
         name="PlannerAgent",
         instructions=PLANNER_INSTRUCTIONS,
     )
 
-    manager_agent = client.as_agent(
+    manager_agent = Agent(
+        client=client,
         name="ManagerAgent",
         instructions=MANAGER_INSTRUCTIONS,
         default_options={"response_format": ManagerResponse},
     )
 
-    summary_agent = client.as_agent(
+    summary_agent = Agent(
+        client=client,
         name="SummaryAgent",
         instructions=SUMMARY_INSTRUCTIONS,
     )
 
-    knowledge_agent = client.as_agent(
+    knowledge_agent = Agent(
+        client=client,
         name="KnowledgeAgent",
         instructions=KNOWLEDGE_INSTRUCTIONS,
     )
 
-    coder_agent = client.as_agent(
+    coder_agent = Agent(
+        client=client,
         name="CoderAgent",
         instructions=CODER_INSTRUCTIONS,
     )
 
-    weather_agent = client.as_agent(
+    weather_agent = Agent(
+        client=client,
         name="WeatherAgent",
         instructions=WEATHER_INSTRUCTIONS,
     )