Python: fix(foundry): reconcile toolbox hosted-tool payloads with Responses API (#5414)

* fix(foundry): reconcile toolbox hosted-tool payloads with Responses API

* docs(foundry): update create_sample_toolbox docstring to reflect all tools created

python/samples/02-agents/providers/foundry/foundry_chat_client_with_toolbox.py

@@ -42,11 +42,12 @@ def create_sample_toolbox(name: str) -> str:
     Toolboxes are normally configured in the Foundry portal or a deployment
     script, not the application itself. This helper exists so the samples can
     be run end-to-end without first setting a toolbox up by hand — delete any
-    existing toolbox under ``name``, then create a fresh version containing a
-    single MCP tool. Returns the created version identifier.
+    existing toolbox under ``name``, then create a fresh version containing an
+    MCP tool, a web search tool, and a code interpreter tool. Returns the
+    created version identifier.
     """
     from azure.ai.projects import AIProjectClient
-    from azure.ai.projects.models import MCPTool, Tool
+    from azure.ai.projects.models import CodeInterpreterTool, MCPTool, Tool, WebSearchTool
     from azure.core.exceptions import ResourceNotFoundError
 
     with (
@@ -67,6 +68,9 @@ def create_sample_toolbox(name: str) -> str:
             )
         ]
 
+        tools.append(WebSearchTool(name="web_search"))
+        tools.append(CodeInterpreterTool(name="code_interpreter"))
+
         created = project_client.beta.toolboxes.create_version(
             name=name,
             description="Toolbox version with MCP require_approval set to 'never'.",

python/samples/04-hosting/foundry-hosted-agents/responses/02_local_tools/main.py

@@ -3,6 +3,7 @@
 import os
 import subprocess
 from random import randint
+from typing import Annotated
 
 from agent_framework import Agent, tool
 from agent_framework.foundry import FoundryChatClient
@@ -10,7 +11,6 @@ from agent_framework_foundry_hosting import ResponsesHostServer
 from azure.identity import AzureCliCredential
 from dotenv import load_dotenv
 from pydantic import Field
-from typing import Annotated
 
 # Load environment variables from .env file
 load_dotenv()