chore: import upstream snapshot with attribution

python/samples/03-workflows/declarative/function_tools/README.md

@@ -0,0 +1,94 @@
+# Function Tools Workflow
+
+This sample demonstrates an agent with function tools responding to user queries about a restaurant menu.
+
+## Overview
+
+The workflow showcases:
+- **Function Tools**: Agent equipped with tools to query menu data
+- **Real Foundry-backed agent**: Uses `FoundryChatClient` to create an agent with tools
+- **Agent Registration**: Shows how to register agents with the `WorkflowFactory`
+
+## Tools
+
+The MenuAgent has access to these function tools:
+
+| Tool | Description |
+|------|-------------|
+| `get_menu()` | Returns all menu items with category, name, and price |
+| `get_specials()` | Returns today's special items |
+| `get_item_price(name)` | Returns the price of a specific item |
+
+## Menu Data
+
+```
+Soups:
+  - Clam Chowder - $4.95 (Special)
+  - Tomato Soup - $4.95
+
+Salads:
+  - Cobb Salad - $9.99
+  - House Salad - $4.95
+
+Drinks:
+  - Chai Tea - $2.95 (Special)
+  - Soda - $1.95
+```
+
+## Prerequisites
+
+- Microsoft Foundry configured with required environment variables
+- Authentication via azure-identity (run `az login` before executing)
+
+## Usage
+
+```bash
+python main.py
+```
+
+## Example Output
+
+```
+Loaded workflow: function-tools-workflow
+============================================================
+Restaurant Menu Assistant
+============================================================
+
+[Bot]: Welcome to the Restaurant Menu Assistant!
+
+[Bot]: Today's soup special is the Clam Chowder for $4.95!
+
+============================================================
+Session Complete
+============================================================
+```
+
+## How It Works
+
+1. Create a Foundry chat client
+2. Create an agent with instructions and function tools
+3. Register the agent with the workflow factory
+4. Load the workflow YAML and run it with `run()` and `stream=True`
+
+```python
+# Create the agent with tools
+client = FoundryChatClient(
+    project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
+    model=os.environ["FOUNDRY_MODEL"],
+    credential=AzureCliCredential(),
+)
+menu_agent = client.as_agent(
+    name="MenuAgent",
+    instructions="You are a helpful restaurant menu assistant...",
+    tools=[get_menu, get_specials, get_item_price],
+)
+
+# Register with the workflow factory
+factory = WorkflowFactory(execution_mode="graph")
+factory.register_agent("MenuAgent", menu_agent)
+
+# Load and run the workflow
+workflow = factory.create_workflow_from_yaml_path(workflow_path)
+async for event in workflow.run(inputs={"userInput": "What is the soup of the day?"}, stream=True):
+    ...
+```

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

@@ -0,0 +1,132 @@
+# 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 Agent, FileCheckpointStorage, tool
+from agent_framework.foundry import FoundryChatClient
+from agent_framework_declarative import ExternalInputRequest, ExternalInputResponse, WorkflowFactory
+from azure.identity import AzureCliCredential
+from dotenv import load_dotenv
+from pydantic import Field
+
+# Load environment variables from .env file
+load_dotenv()
+
+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_sessions.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 = FoundryChatClient(
+        project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
+        model=os.environ["FOUNDRY_MODEL"],
+        credential=AzureCliCredential(),
+    )
+    menu_agent = Agent(
+        client=client,
+        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())

python/samples/03-workflows/declarative/function_tools/workflow.yaml

@@ -0,0 +1,22 @@
+# Function Tools Workflow - .NET-style
+#
+# This workflow demonstrates an agent with function tools in a loop
+# responding to user input, using the same minimal structure as .NET.
+#
+# Example input:
+# What is the soup of the day?
+#
+kind: Workflow
+trigger:
+
+  kind: OnConversationStart
+  id: workflow_demo
+  actions:
+
+    - kind: InvokeAzureAgent
+      id: invoke_menu_agent
+      agent:
+        name: MenuAgent
+      input:
+        externalLoop:
+          when: =Upper(System.LastMessage.Text) <> "EXIT"