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/human-in-the-loop/concurrent_request_info.py

@@ -17,8 +17,8 @@ Demonstrate:
 - Injecting human guidance for specific agents before aggregation
 
 Prerequisites:
-- AZURE_AI_PROJECT_ENDPOINT must be your Azure AI Foundry Agent Service (V2) project endpoint.
-- Azure OpenAI configured for AzureOpenAIResponsesClient with required environment variables
+- FOUNDRY_PROJECT_ENDPOINT must be your Azure AI Foundry Agent Service (V2) project endpoint.
+- Azure OpenAI configured for FoundryChatClient with required environment variables
 - Authentication via azure-identity (run az login before executing)
 """
 
@@ -28,11 +28,12 @@ from collections.abc import AsyncIterable
 from typing import Any
 
 from agent_framework import (
+    Agent,
     AgentExecutorResponse,
     Message,
     WorkflowEvent,
 )
-from agent_framework.azure import AzureOpenAIResponsesClient
+from agent_framework.foundry import FoundryChatClient
 from agent_framework.orchestrations import AgentRequestInfoResponse, ConcurrentBuilder
 from azure.identity import AzureCliCredential
 from dotenv import load_dotenv
@@ -41,7 +42,7 @@ from dotenv import load_dotenv
 load_dotenv()
 
 # Store chat client at module level for aggregator access
-_chat_client: AzureOpenAIResponsesClient | None = None
+_chat_client: FoundryChatClient | None = None
 
 
 async def aggregate_with_synthesis(results: list[AgentExecutorResponse]) -> Any:
@@ -148,14 +149,15 @@ async def process_event_stream(stream: AsyncIterable[WorkflowEvent]) -> dict[str
 
 async def main() -> None:
     global _chat_client
-    _chat_client = AzureOpenAIResponsesClient(
-        project_endpoint=os.environ["AZURE_AI_PROJECT_ENDPOINT"],
-        deployment_name=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
+    _chat_client = FoundryChatClient(
+        project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
+        model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
         credential=AzureCliCredential(),
     )
 
     # Create agents that analyze from different perspectives
-    technical_analyst = _chat_client.as_agent(
+    technical_analyst = Agent(
+        client=_chat_client,
         name="technical_analyst",
         instructions=(
             "You are a technical analyst. When given a topic, provide a technical "
@@ -164,7 +166,8 @@ async def main() -> None:
         ),
     )
 
-    business_analyst = _chat_client.as_agent(
+    business_analyst = Agent(
+        client=_chat_client,
         name="business_analyst",
         instructions=(
             "You are a business analyst. When given a topic, provide a business "
@@ -173,7 +176,8 @@ async def main() -> None:
         ),
     )
 
-    user_experience_analyst = _chat_client.as_agent(
+    user_experience_analyst = Agent(
+        client=_chat_client,
         name="ux_analyst",
         instructions=(
             "You are a UX analyst. When given a topic, provide a user experience "