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/visualization/concurrent_with_visualization.py

@@ -5,6 +5,7 @@ import os
 from dataclasses import dataclass
 
 from agent_framework import (
+    Agent,
     AgentExecutor,
     AgentExecutorRequest,
     AgentExecutorResponse,
@@ -15,7 +16,7 @@ from agent_framework import (
     WorkflowViz,
     handler,
 )
-from agent_framework.azure import AzureOpenAIResponsesClient
+from agent_framework.foundry import FoundryChatClient
 from azure.identity import AzureCliCredential
 from dotenv import load_dotenv
 from typing_extensions import Never
@@ -32,8 +33,8 @@ What it does:
 - Visualization: generate Mermaid and GraphViz representations via `WorkflowViz` and optionally export SVG.
 
 Prerequisites:
-- AZURE_AI_PROJECT_ENDPOINT must be your Azure AI Foundry Agent Service (V2) project endpoint.
-- Azure AI/ Azure OpenAI for `AzureOpenAIResponsesClient` agents.
+- FOUNDRY_PROJECT_ENDPOINT must be your Azure AI Foundry Agent Service (V2) project endpoint.
+- Azure AI/ Azure OpenAI for `FoundryChatClient` agents.
 - Authentication via `azure-identity` — uses `AzureCliCredential()` (run `az login`).
 - For visualization export: `pip install graphviz>=0.20.0` and install GraphViz binaries.
 """
@@ -96,11 +97,12 @@ async def main() -> None:
 
     # Create agent instances
     researcher = AgentExecutor(
-        AzureOpenAIResponsesClient(
-            project_endpoint=os.environ["AZURE_AI_PROJECT_ENDPOINT"],
-            deployment_name=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
-            credential=AzureCliCredential(),
-        ).as_agent(
+        Agent(
+            client=FoundryChatClient(
+                project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
+                model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
+                credential=AzureCliCredential(),
+            ),
             instructions=(
                 "You're an expert market and product researcher. Given a prompt, provide concise, factual insights,"
                 " opportunities, and risks."
@@ -110,11 +112,12 @@ async def main() -> None:
     )
 
     marketer = AgentExecutor(
-        AzureOpenAIResponsesClient(
-            project_endpoint=os.environ["AZURE_AI_PROJECT_ENDPOINT"],
-            deployment_name=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
-            credential=AzureCliCredential(),
-        ).as_agent(
+        Agent(
+            client=FoundryChatClient(
+                project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
+                model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
+                credential=AzureCliCredential(),
+            ),
             instructions=(
                 "You're a creative marketing strategist. Craft compelling value propositions and target messaging"
                 " aligned to the prompt."
@@ -124,11 +127,12 @@ async def main() -> None:
     )
 
     legal = AgentExecutor(
-        AzureOpenAIResponsesClient(
-            project_endpoint=os.environ["AZURE_AI_PROJECT_ENDPOINT"],
-            deployment_name=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
-            credential=AzureCliCredential(),
-        ).as_agent(
+        Agent(
+            client=FoundryChatClient(
+                project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
+                model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
+                credential=AzureCliCredential(),
+            ),
             instructions=(
                 "You're a cautious legal/compliance reviewer. Highlight constraints, disclaimers, and policy concerns"
                 " based on the prompt."