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/05-end-to-end/evaluation/self_reflection/self_reflection.py

@@ -20,7 +20,7 @@ from typing import Any
 import openai
 import pandas as pd
 from agent_framework import Agent, Message
-from agent_framework.azure import AzureOpenAIResponsesClient
+from agent_framework.foundry import FoundryChatClient
 from azure.ai.projects import AIProjectClient
 from azure.identity import AzureCliCredential
 from dotenv import load_dotenv
@@ -87,7 +87,7 @@ DEFAULT_JUDGE_MODEL = "gpt-5.2"
 
 
 def create_openai_client():
-    endpoint = os.environ["AZURE_AI_PROJECT_ENDPOINT"]
+    endpoint = os.environ["FOUNDRY_PROJECT_ENDPOINT"]
     credential = AzureCliCredential()
     project_client = AIProjectClient(endpoint=endpoint, credential=credential)
     return project_client.get_openai_client()
@@ -97,7 +97,7 @@ def create_async_project_client():
     from azure.ai.projects.aio import AIProjectClient as AsyncAIProjectClient
     from azure.identity.aio import AzureCliCredential as AsyncAzureCliCredential
 
-    return AsyncAIProjectClient(endpoint=os.environ["AZURE_AI_PROJECT_ENDPOINT"], credential=AsyncAzureCliCredential())
+    return AsyncAIProjectClient(endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"], credential=AsyncAzureCliCredential())
 
 
 def create_eval(client: openai.OpenAI, judge_model: str) -> openai.types.EvalCreateResponse:
@@ -321,9 +321,9 @@ async def run_self_reflection_batch(
         load_dotenv(override=True)
 
     # Create agent, it loads environment variables AZURE_OPENAI_API_KEY and AZURE_OPENAI_ENDPOINT automatically
-    responses_client = AzureOpenAIResponsesClient(
+    responses_client = FoundryChatClient(
         project_client=project_client,
-        deployment_name=agent_model,
+        model=agent_model,
     )
 
     # Load input data
@@ -368,7 +368,7 @@ async def run_self_reflection_batch(
         try:
             result = await execute_query_with_self_reflection(
                 client=client,
-                agent=responses_client.as_agent(instructions=row["system_instruction"]),
+                agent=Agent(client=responses_client, instructions=row["system_instruction"]),
                 eval_object=eval_object,
                 full_user_query=row["full_prompt"],
                 context=row["context_document"],