Python: restructure: Python samples into progressive 01-05 layout (#3862)

* restructure: Python samples into progressive 01-05 layout

- 01-get-started/: 6 numbered steps (hello agent → hosting)
- 02-agents/: all agent concept samples (tools, middleware, providers, etc.)
- 03-workflows/: ALL existing workflow samples preserved as-is
- 04-hosting/: azure-functions, durabletask, a2a
- 05-end-to-end/: demos, evaluation, hosted agents
- Old files moved to _to_delete/ for review
- Added AGENTS.md with structure documentation
- autogen-migration/ and semantic-kernel-migration/ preserved at root

* fix: switch to AzureOpenAI Foundry, fix CI failures

- Switch all 01-get-started samples to AzureOpenAIResponsesClient with
  Azure AI Foundry project endpoint (AZURE_AI_PROJECT_ENDPOINT +
  AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME + AzureCliCredential)
- Add _to_delete/ and 05-end-to-end/ to pyrightconfig.samples.json excludes
- Fix test paths in packages/ that referenced old getting_started/ dirs:
  durabletask conftest + streaming test, azurefunctions conftest,
  devui conftest + capture_messages + openai_sdk_integration
- Fix workflow_as_agent_human_in_the_loop.py import (sibling import)
- Update hosting READMEs and tool comment paths
- Replace root README.md with new structure overview
- Update AGENTS.md to document Azure OpenAI Foundry as default provider

* cleanup: remove _to_delete folder, copy resource files to active dirs

All files in _to_delete/ were either:
- Exact duplicates of files in the new structure (240 files)
- Same file with only comment path updates (100 files)
- One import-fix diff (workflow_as_agent_human_in_the_loop.py)
- One superseded minimal_sample.py

Resource files (sample.pdf, countries.json, employees.pdf, weather.json)
copied to 02-agents/sample_assets/ and 02-agents/resources/ since active
samples reference them.

* fix: address PR review comments, centralize resources, remove root duplicates

- Fix type annotation in 04_memory.py (string union -> proper types)
- Fix old sample paths in observability files
- Fix grammar/spelling in observability samples
- Move sample_assets/ and resources/ to shared/ folder
- Remove 8 duplicate observability files from 02-agents root
- Update resource path references in multimodal_input and provider samples

* fix: update broken links from old getting_started paths to new structure

- Update relative paths in READMEs: getting_started/ → 01-get-started/,
  02-agents/, 03-workflows/, 04-hosting/, 05-end-to-end/
- Fix absolute GitHub URLs in package READMEs
- Fix broken link in ollama package README

* fix: convert absolute GitHub URLs to relative paths for link checker

Absolute URLs to python/samples/ on main branch 404 until PR merges.
Converted to relative paths that linkspector can verify locally.

* fix: update link for handoff sample moved to orchestrations/

* fix: update chatkit-integration README path from demos/ to 05-end-to-end/

* fix: update broken links in orchestrations README to match flat directory structure

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

@@ -0,0 +1,125 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+"""
+Demonstrate a workflow that responds to user input using an agent with
+function tools assigned. Exits the loop when the user enters "exit".
+"""
+
+import asyncio
+import os
+from dataclasses import dataclass
+from pathlib import Path
+from typing import Annotated, Any
+
+from agent_framework import FileCheckpointStorage, tool
+from agent_framework.azure import AzureOpenAIResponsesClient
+from agent_framework_declarative import ExternalInputRequest, ExternalInputResponse, WorkflowFactory
+from azure.identity import AzureCliCredential
+from pydantic import Field
+
+TEMP_DIR = Path(__file__).with_suffix("").parent / "tmp" / "checkpoints"
+TEMP_DIR.mkdir(parents=True, exist_ok=True)
+
+
+@dataclass
+class MenuItem:
+    category: str
+    name: str
+    price: float
+    is_special: bool = False
+
+
+MENU_ITEMS = [
+    MenuItem(category="Soup", name="Clam Chowder", price=4.95, is_special=True),
+    MenuItem(category="Soup", name="Tomato Soup", price=4.95, is_special=False),
+    MenuItem(category="Salad", name="Cobb Salad", price=9.99, is_special=False),
+    MenuItem(category="Salad", name="House Salad", price=4.95, is_special=False),
+    MenuItem(category="Drink", name="Chai Tea", price=2.95, is_special=True),
+    MenuItem(category="Drink", name="Soda", price=1.95, is_special=False),
+]
+
+
+# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/02-agents/tools/function_tool_with_approval.py and samples/02-agents/tools/function_tool_with_approval_and_threads.py.
+@tool(approval_mode="never_require")
+def get_menu() -> list[dict[str, Any]]:
+    """Get all menu items."""
+    return [{"category": i.category, "name": i.name, "price": i.price} for i in MENU_ITEMS]
+
+
+@tool(approval_mode="never_require")
+def get_specials() -> list[dict[str, Any]]:
+    """Get today's specials."""
+    return [{"category": i.category, "name": i.name, "price": i.price} for i in MENU_ITEMS if i.is_special]
+
+
+@tool(approval_mode="never_require")
+def get_item_price(name: Annotated[str, Field(description="Menu item name")]) -> str:
+    """Get price of a menu item."""
+    for item in MENU_ITEMS:
+        if item.name.lower() == name.lower():
+            return f"${item.price:.2f}"
+    return f"Item '{name}' not found."
+
+
+async def main():
+    # Create agent with tools
+    client = AzureOpenAIResponsesClient(
+        project_endpoint=os.environ["AZURE_AI_PROJECT_ENDPOINT"],
+        deployment_name=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
+        credential=AzureCliCredential(),
+    )
+    menu_agent = client.as_agent(
+        name="MenuAgent",
+        instructions="Answer questions about menu items, specials, and prices.",
+        tools=[get_menu, get_specials, get_item_price],
+    )
+
+    # Clean up any existing checkpoints
+    for file in TEMP_DIR.glob("*"):
+        file.unlink()
+
+    factory = WorkflowFactory(checkpoint_storage=FileCheckpointStorage(TEMP_DIR))
+    factory.register_agent("MenuAgent", menu_agent)
+    workflow = factory.create_workflow_from_yaml_path(Path(__file__).parent / "workflow.yaml")
+
+    # Get initial input
+    print("Restaurant Menu Assistant (type 'exit' to quit)\n")
+    user_input = input("You: ").strip()  # noqa: ASYNC250
+    if not user_input:
+        return
+
+    # Run workflow with external loop handling
+    pending_request_id: str | None = None
+    first_response = True
+
+    while True:
+        if pending_request_id:
+            response = ExternalInputResponse(user_input=user_input)
+            stream = workflow.run(stream=True, responses={pending_request_id: response})
+        else:
+            stream = workflow.run({"userInput": user_input}, stream=True)
+
+        pending_request_id = None
+        first_response = True
+
+        async for event in stream:
+            if event.type == "output" and isinstance(event.data, str):
+                if first_response:
+                    print("MenuAgent: ", end="")
+                    first_response = False
+                print(event.data, end="", flush=True)
+            elif event.type == "request_info" and isinstance(event.data, ExternalInputRequest):
+                pending_request_id = event.request_id
+
+        print()
+
+        if not pending_request_id:
+            break
+
+        user_input = input("\nYou: ").strip()
+        if not user_input:
+            continue
+
+
+if __name__ == "__main__":
+    asyncio.run(main())