Python: Clean up imports (#2318)

* chore: tidy imports

* Update python/packages/azurefunctions/agent_framework_azurefunctions/_errors.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update python/packages/azurefunctions/agent_framework_azurefunctions/_callbacks.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* chore: revert stub file change

* chore: trigger pre-commit hook, re-add `annotations` import

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

python/packages/ag-ui/README.md

@@ -16,7 +16,7 @@ pip install agent-framework-ag-ui
 from fastapi import FastAPI
 from agent_framework import ChatAgent
 from agent_framework.azure import AzureOpenAIChatClient
-from agent_framework_ag_ui import add_agent_framework_fastapi_endpoint
+from agent_framework.ag_ui import add_agent_framework_fastapi_endpoint
 
 # Create your agent
 agent = ChatAgent(
@@ -41,7 +41,7 @@ add_agent_framework_fastapi_endpoint(app, agent, "/")
 ```python
 import asyncio
 from agent_framework import TextContent
-from agent_framework_ag_ui import AGUIChatClient
+from agent_framework.ag_ui import AGUIChatClient
 
 async def main():
     async with AGUIChatClient(endpoint="http://localhost:8000/") as client:

python/packages/ag-ui/agent_framework_ag_ui_examples/README.md

@@ -18,7 +18,7 @@ All example agents are factory functions that accept any `ChatClientProtocol`-co
 from fastapi import FastAPI
 from agent_framework.azure import AzureOpenAIChatClient
 from agent_framework.openai import OpenAIChatClient
-from agent_framework_ag_ui import add_agent_framework_fastapi_endpoint
+from agent_framework.ag_ui import add_agent_framework_fastapi_endpoint
 from agent_framework_ag_ui_examples.agents import simple_agent, weather_agent
 
 app = FastAPI()
@@ -40,7 +40,7 @@ add_agent_framework_fastapi_endpoint(app, weather_agent(openai_client), "/weathe
 from fastapi import FastAPI
 from agent_framework import ChatAgent
 from agent_framework.azure import AzureOpenAIChatClient
-from agent_framework_ag_ui import add_agent_framework_fastapi_endpoint
+from agent_framework.ag_ui import add_agent_framework_fastapi_endpoint
 
 # Create your agent
 agent = ChatAgent(
@@ -136,7 +136,7 @@ The server exposes endpoints at:
 ```python
 from fastapi import FastAPI
 from agent_framework.azure import AzureOpenAIChatClient
-from agent_framework_ag_ui import add_agent_framework_fastapi_endpoint
+from agent_framework.ag_ui import add_agent_framework_fastapi_endpoint
 from agent_framework_ag_ui_examples.agents import (
     simple_agent,
     weather_agent,
@@ -188,8 +188,8 @@ You can create your own agent factories following the same pattern as the exampl
 
 ```python
 from agent_framework import ChatAgent, ai_function
-from agent_framework._clients import ChatClientProtocol
-from agent_framework_ag_ui import AgentFrameworkAgent
+from agent_framework import ChatClientProtocol
+from agent_framework.ag_ui import AgentFrameworkAgent
 
 @ai_function
 def my_tool(param: str) -> str:

python/packages/ag-ui/agent_framework_ag_ui_examples/agents/document_writer_agent.py

@@ -2,10 +2,8 @@
 
 """Example agent demonstrating predictive state updates with document writing."""
 
-from agent_framework import ChatAgent, ai_function
-from agent_framework._clients import ChatClientProtocol
-
-from agent_framework_ag_ui import AgentFrameworkAgent, DocumentWriterConfirmationStrategy
+from agent_framework import ChatAgent, ChatClientProtocol, ai_function
+from agent_framework.ag_ui import AgentFrameworkAgent, DocumentWriterConfirmationStrategy
 
 
 @ai_function

python/packages/ag-ui/agent_framework_ag_ui_examples/agents/human_in_the_loop_agent.py

@@ -4,8 +4,7 @@
 
 from enum import Enum
 
-from agent_framework import ChatAgent, ai_function
-from agent_framework._clients import ChatClientProtocol
+from agent_framework import ChatAgent, ChatClientProtocol, ai_function
 from pydantic import BaseModel, Field
 
 

python/packages/ag-ui/agent_framework_ag_ui_examples/agents/recipe_agent.py

@@ -4,12 +4,10 @@
 
 from enum import Enum
 
-from agent_framework import ChatAgent, ai_function
-from agent_framework._clients import ChatClientProtocol
+from agent_framework import ChatAgent, ChatClientProtocol, ai_function
+from agent_framework.ag_ui import AgentFrameworkAgent, RecipeConfirmationStrategy
 from pydantic import BaseModel, Field
 
-from agent_framework_ag_ui import AgentFrameworkAgent, RecipeConfirmationStrategy
-
 
 class SkillLevel(str, Enum):
     """The skill level required for the recipe."""

python/packages/ag-ui/agent_framework_ag_ui_examples/agents/research_assistant_agent.py

@@ -4,10 +4,8 @@
 
 import asyncio
 
-from agent_framework import ChatAgent, ai_function
-from agent_framework._clients import ChatClientProtocol
-
-from agent_framework_ag_ui import AgentFrameworkAgent
+from agent_framework import ChatAgent, ChatClientProtocol, ai_function
+from agent_framework.ag_ui import AgentFrameworkAgent
 
 
 @ai_function

python/packages/ag-ui/agent_framework_ag_ui_examples/agents/simple_agent.py

@@ -2,8 +2,7 @@
 
 """Simple agentic chat example (Feature 1: Agentic Chat)."""
 
-from agent_framework import ChatAgent
-from agent_framework._clients import ChatClientProtocol
+from agent_framework import ChatAgent, ChatClientProtocol
 
 
 def simple_agent(chat_client: ChatClientProtocol) -> ChatAgent:

python/packages/ag-ui/agent_framework_ag_ui_examples/agents/task_planner_agent.py

@@ -2,10 +2,8 @@
 
 """Example agent demonstrating human-in-the-loop with function approvals."""
 
-from agent_framework import ChatAgent, ai_function
-from agent_framework._clients import ChatClientProtocol
-
-from agent_framework_ag_ui import AgentFrameworkAgent, TaskPlannerConfirmationStrategy
+from agent_framework import ChatAgent, ChatClientProtocol, ai_function
+from agent_framework.ag_ui import AgentFrameworkAgent, TaskPlannerConfirmationStrategy
 
 
 @ai_function(approval_mode="always_require")

python/packages/ag-ui/agent_framework_ag_ui_examples/agents/task_steps_agent.py

@@ -18,12 +18,10 @@ from ag_ui.core import (
     TextMessageStartEvent,
     ToolCallStartEvent,
 )
-from agent_framework import ChatAgent, ai_function
-from agent_framework._clients import ChatClientProtocol
+from agent_framework import ChatAgent, ChatClientProtocol, ai_function
+from agent_framework.ag_ui import AgentFrameworkAgent
 from pydantic import BaseModel, Field
 
-from agent_framework_ag_ui import AgentFrameworkAgent
-
 
 class StepStatus(str, Enum):
     """Status of a task step."""

python/packages/ag-ui/agent_framework_ag_ui_examples/agents/ui_generator_agent.py

@@ -4,10 +4,8 @@
 
 from typing import Any
 
-from agent_framework import AIFunction, ChatAgent
-from agent_framework._clients import ChatClientProtocol
-
-from agent_framework_ag_ui import AgentFrameworkAgent
+from agent_framework import AIFunction, ChatAgent, ChatClientProtocol
+from agent_framework.ag_ui import AgentFrameworkAgent
 
 # Declaration-only tools (func=None) - actual rendering happens on the client side
 generate_haiku = AIFunction[Any, str](

python/packages/ag-ui/agent_framework_ag_ui_examples/agents/weather_agent.py

@@ -4,8 +4,7 @@
 
 from typing import Any
 
-from agent_framework import ChatAgent, ai_function
-from agent_framework._clients import ChatClientProtocol
+from agent_framework import ChatAgent, ChatClientProtocol, ai_function
 
 
 @ai_function

python/packages/ag-ui/agent_framework_ag_ui_examples/server/api/backend_tool_rendering.py

@@ -2,11 +2,10 @@
 
 """Backend tool rendering endpoint."""
 
+from agent_framework.ag_ui import add_agent_framework_fastapi_endpoint
 from agent_framework.azure import AzureOpenAIChatClient
 from fastapi import FastAPI
 
-from agent_framework_ag_ui import add_agent_framework_fastapi_endpoint
-
 from ...agents.weather_agent import weather_agent
 
 

python/packages/ag-ui/agent_framework_ag_ui_examples/server/main.py

@@ -6,12 +6,11 @@ import logging
 import os
 
 import uvicorn
+from agent_framework.ag_ui import add_agent_framework_fastapi_endpoint
 from agent_framework.azure import AzureOpenAIChatClient
 from fastapi import FastAPI
 from fastapi.middleware.cors import CORSMiddleware
 
-from agent_framework_ag_ui import add_agent_framework_fastapi_endpoint
-
 from ..agents.document_writer_agent import document_writer_agent
 from ..agents.human_in_the_loop_agent import human_in_the_loop_agent
 from ..agents.recipe_agent import recipe_agent

python/packages/ag-ui/getting_started/client.py

@@ -10,7 +10,7 @@ standard chat interface.
 import asyncio
 import os
 
-from agent_framework_ag_ui import AGUIChatClient
+from agent_framework.ag_ui import AGUIChatClient
 
 
 async def main():

python/packages/ag-ui/getting_started/client_advanced.py

@@ -13,8 +13,7 @@ import asyncio
 import os
 
 from agent_framework import ai_function
-
-from agent_framework_ag_ui import AGUIChatClient
+from agent_framework.ag_ui import AGUIChatClient
 
 
 @ai_function

python/packages/ag-ui/getting_started/client_with_agent.py

@@ -23,8 +23,7 @@ import logging
 import os
 
 from agent_framework import ChatAgent, FunctionCallContent, FunctionResultContent, TextContent, ai_function
-
-from agent_framework_ag_ui import AGUIChatClient
+from agent_framework.ag_ui import AGUIChatClient
 
 # Enable debug logging
 logging.basicConfig(

python/packages/ag-ui/tests/test_agent_wrapper_comprehensive.py

@@ -11,7 +11,7 @@ from agent_framework._types import ChatResponseUpdate
 
 async def test_agent_initialization_basic():
     """Test basic agent initialization without state schema."""
-    from agent_framework_ag_ui import AgentFrameworkAgent
+    from agent_framework.ag_ui import AgentFrameworkAgent
 
     class MockChatClient:
         async def get_streaming_response(self, messages, chat_options, **kwargs):
@@ -28,7 +28,7 @@ async def test_agent_initialization_basic():
 
 async def test_agent_initialization_with_state_schema():
     """Test agent initialization with state_schema."""
-    from agent_framework_ag_ui import AgentFrameworkAgent
+    from agent_framework.ag_ui import AgentFrameworkAgent
 
     class MockChatClient:
         async def get_streaming_response(self, messages, chat_options, **kwargs):
@@ -43,7 +43,7 @@ async def test_agent_initialization_with_state_schema():
 
 async def test_agent_initialization_with_predict_state_config():
     """Test agent initialization with predict_state_config."""
-    from agent_framework_ag_ui import AgentFrameworkAgent
+    from agent_framework.ag_ui import AgentFrameworkAgent
 
     class MockChatClient:
         async def get_streaming_response(self, messages, chat_options, **kwargs):
@@ -58,7 +58,7 @@ async def test_agent_initialization_with_predict_state_config():
 
 async def test_run_started_event_emission():
     """Test RunStartedEvent is emitted at start of run."""
-    from agent_framework_ag_ui import AgentFrameworkAgent
+    from agent_framework.ag_ui import AgentFrameworkAgent
 
     class MockChatClient:
         async def get_streaming_response(self, messages, chat_options, **kwargs):
@@ -81,7 +81,7 @@ async def test_run_started_event_emission():
 
 async def test_predict_state_custom_event_emission():
     """Test PredictState CustomEvent is emitted when predict_state_config is present."""
-    from agent_framework_ag_ui import AgentFrameworkAgent
+    from agent_framework.ag_ui import AgentFrameworkAgent
 
     class MockChatClient:
         async def get_streaming_response(self, messages, chat_options, **kwargs):
@@ -112,7 +112,7 @@ async def test_predict_state_custom_event_emission():
 
 async def test_initial_state_snapshot_with_schema():
     """Test initial StateSnapshotEvent emission when state_schema present."""
-    from agent_framework_ag_ui import AgentFrameworkAgent
+    from agent_framework.ag_ui import AgentFrameworkAgent
 
     class MockChatClient:
         async def get_streaming_response(self, messages, chat_options, **kwargs):
@@ -141,7 +141,7 @@ async def test_initial_state_snapshot_with_schema():
 
 async def test_state_initialization_object_type():
     """Test state initialization with object type in schema."""
-    from agent_framework_ag_ui import AgentFrameworkAgent
+    from agent_framework.ag_ui import AgentFrameworkAgent
 
     class MockChatClient:
         async def get_streaming_response(self, messages, chat_options, **kwargs):
@@ -167,7 +167,7 @@ async def test_state_initialization_object_type():
 
 async def test_state_initialization_array_type():
     """Test state initialization with array type in schema."""
-    from agent_framework_ag_ui import AgentFrameworkAgent
+    from agent_framework.ag_ui import AgentFrameworkAgent
 
     class MockChatClient:
         async def get_streaming_response(self, messages, chat_options, **kwargs):
@@ -193,7 +193,7 @@ async def test_state_initialization_array_type():
 
 async def test_run_finished_event_emission():
     """Test RunFinishedEvent is emitted at end of run."""
-    from agent_framework_ag_ui import AgentFrameworkAgent
+    from agent_framework.ag_ui import AgentFrameworkAgent
 
     class MockChatClient:
         async def get_streaming_response(self, messages, chat_options, **kwargs):
@@ -214,7 +214,7 @@ async def test_run_finished_event_emission():
 
 async def test_tool_result_confirm_changes_accepted():
     """Test confirm_changes tool result handling when accepted."""
-    from agent_framework_ag_ui import AgentFrameworkAgent
+    from agent_framework.ag_ui import AgentFrameworkAgent
 
     class MockChatClient:
         async def get_streaming_response(self, messages, chat_options, **kwargs):
@@ -260,7 +260,7 @@ async def test_tool_result_confirm_changes_accepted():
 
 async def test_tool_result_confirm_changes_rejected():
     """Test confirm_changes tool result handling when rejected."""
-    from agent_framework_ag_ui import AgentFrameworkAgent
+    from agent_framework.ag_ui import AgentFrameworkAgent
 
     class MockChatClient:
         async def get_streaming_response(self, messages, chat_options, **kwargs):
@@ -293,7 +293,7 @@ async def test_tool_result_confirm_changes_rejected():
 
 async def test_tool_result_function_approval_accepted():
     """Test function approval tool result when steps are accepted."""
-    from agent_framework_ag_ui import AgentFrameworkAgent
+    from agent_framework.ag_ui import AgentFrameworkAgent
 
     class MockChatClient:
         async def get_streaming_response(self, messages, chat_options, **kwargs):
@@ -338,7 +338,7 @@ async def test_tool_result_function_approval_accepted():
 
 async def test_tool_result_function_approval_rejected():
     """Test function approval tool result when rejected."""
-    from agent_framework_ag_ui import AgentFrameworkAgent
+    from agent_framework.ag_ui import AgentFrameworkAgent
 
     class MockChatClient:
         async def get_streaming_response(self, messages, chat_options, **kwargs):
@@ -374,7 +374,7 @@ async def test_tool_result_function_approval_rejected():
 
 async def test_thread_metadata_tracking():
     """Test that thread metadata includes ag_ui_thread_id and ag_ui_run_id."""
-    from agent_framework_ag_ui import AgentFrameworkAgent
+    from agent_framework.ag_ui import AgentFrameworkAgent
 
     thread_metadata = {}
 
@@ -405,7 +405,7 @@ async def test_thread_metadata_tracking():
 
 async def test_state_context_injection():
     """Test that current state is injected into thread metadata."""
-    from agent_framework_ag_ui import AgentFrameworkAgent
+    from agent_framework.ag_ui import AgentFrameworkAgent
 
     thread_metadata = {}
 
@@ -436,7 +436,7 @@ async def test_state_context_injection():
 
 async def test_no_messages_provided():
     """Test handling when no messages are provided."""
-    from agent_framework_ag_ui import AgentFrameworkAgent
+    from agent_framework.ag_ui import AgentFrameworkAgent
 
     class MockChatClient:
         async def get_streaming_response(self, messages, chat_options, **kwargs):
@@ -459,7 +459,7 @@ async def test_no_messages_provided():
 
 async def test_message_end_event_emission():
     """Test TextMessageEndEvent is emitted for assistant messages."""
-    from agent_framework_ag_ui import AgentFrameworkAgent
+    from agent_framework.ag_ui import AgentFrameworkAgent
 
     class MockChatClient:
         async def get_streaming_response(self, messages, chat_options, **kwargs):
@@ -486,7 +486,7 @@ async def test_message_end_event_emission():
 
 async def test_error_handling_with_exception():
     """Test that exceptions during agent execution are re-raised."""
-    from agent_framework_ag_ui import AgentFrameworkAgent
+    from agent_framework.ag_ui import AgentFrameworkAgent
 
     class FailingChatClient:
         async def get_streaming_response(self, messages, chat_options, **kwargs):
@@ -506,7 +506,7 @@ async def test_error_handling_with_exception():
 
 async def test_json_decode_error_in_tool_result():
     """Test handling of orphaned tool result - should be sanitized out."""
-    from agent_framework_ag_ui import AgentFrameworkAgent
+    from agent_framework.ag_ui import AgentFrameworkAgent
 
     class MockChatClient:
         async def get_streaming_response(self, messages, chat_options, **kwargs):
@@ -543,7 +543,7 @@ async def test_json_decode_error_in_tool_result():
 
 async def test_suppressed_summary_with_document_state():
     """Test suppressed summary uses document state for confirmation message."""
-    from agent_framework_ag_ui import AgentFrameworkAgent, DocumentWriterConfirmationStrategy
+    from agent_framework.ag_ui import AgentFrameworkAgent, DocumentWriterConfirmationStrategy
 
     class MockChatClient:
         async def get_streaming_response(self, messages, chat_options, **kwargs):

python/packages/ag-ui/tests/test_structured_output.py

@@ -32,7 +32,7 @@ class GenericOutput(BaseModel):
 
 async def test_structured_output_with_recipe():
     """Test structured output processing with recipe state."""
-    from agent_framework_ag_ui import AgentFrameworkAgent
+    from agent_framework.ag_ui import AgentFrameworkAgent
 
     class MockChatClient:
         async def get_streaming_response(self, messages, chat_options, **kwargs):
@@ -70,7 +70,7 @@ async def test_structured_output_with_recipe():
 
 async def test_structured_output_with_steps():
     """Test structured output processing with steps state."""
-    from agent_framework_ag_ui import AgentFrameworkAgent
+    from agent_framework.ag_ui import AgentFrameworkAgent
 
     class MockChatClient:
         async def get_streaming_response(self, messages, chat_options, **kwargs):
@@ -109,7 +109,7 @@ async def test_structured_output_with_steps():
 
 async def test_structured_output_with_no_schema_match():
     """Test structured output when response fields don't match state_schema keys."""
-    from agent_framework_ag_ui import AgentFrameworkAgent
+    from agent_framework.ag_ui import AgentFrameworkAgent
 
     class MockChatClient:
         async def get_streaming_response(self, messages, chat_options, **kwargs):
@@ -138,7 +138,7 @@ async def test_structured_output_with_no_schema_match():
 
 async def test_structured_output_without_schema():
     """Test structured output without state_schema treats all fields as state."""
-    from agent_framework_ag_ui import AgentFrameworkAgent
+    from agent_framework.ag_ui import AgentFrameworkAgent
 
     class DataOutput(BaseModel):
         """Output with data and info fields."""
@@ -175,7 +175,7 @@ async def test_structured_output_without_schema():
 
 async def test_no_structured_output_when_no_response_format():
     """Test that structured output path is skipped when no response_format."""
-    from agent_framework_ag_ui import AgentFrameworkAgent
+    from agent_framework.ag_ui import AgentFrameworkAgent
 
     class MockChatClient:
         async def get_streaming_response(self, messages, chat_options, **kwargs):
@@ -200,7 +200,7 @@ async def test_no_structured_output_when_no_response_format():
 
 async def test_structured_output_with_message_field():
     """Test structured output that includes a message field."""
-    from agent_framework_ag_ui import AgentFrameworkAgent
+    from agent_framework.ag_ui import AgentFrameworkAgent
 
     class MockChatClient:
         async def get_streaming_response(self, messages, chat_options, **kwargs):
@@ -234,7 +234,7 @@ async def test_structured_output_with_message_field():
 
 async def test_empty_updates_no_structured_processing():
     """Test that empty updates don't trigger structured output processing."""
-    from agent_framework_ag_ui import AgentFrameworkAgent
+    from agent_framework.ag_ui import AgentFrameworkAgent
 
     class MockChatClient:
         async def get_streaming_response(self, messages, chat_options, **kwargs):

python/packages/azurefunctions/agent_framework_azurefunctions/_callbacks.py

@@ -6,8 +6,6 @@ This module enables callers of AgentFunctionApp to supply streaming and final-re
 invoked during durable entity execution.
 """
 
-from __future__ import annotations
-
 from dataclasses import dataclass
 from typing import Protocol
 

python/packages/azurefunctions/agent_framework_azurefunctions/_errors.py

@@ -2,8 +2,6 @@
 
 """Custom exception types for the durable agent framework."""
 
-from __future__ import annotations
-
 
 class IncomingRequestError(ValueError):
     """Raised when an incoming HTTP request cannot be parsed or validated."""

python/packages/core/agent_framework/observability.py

@@ -1021,7 +1021,7 @@ def use_observability(
         .. code-block:: python
 
             from agent_framework import use_observability, setup_observability
-            from agent_framework._clients import ChatClientProtocol
+            from agent_framework import ChatClientProtocol
 
 
             # Decorate a custom chat client class

python/packages/core/tests/core/test_middleware.py

@@ -1693,7 +1693,7 @@ def mock_function() -> AIFunction[Any, Any]:
 @pytest.fixture
 def mock_chat_client() -> Any:
     """Mock chat client for testing."""
-    from agent_framework._clients import ChatClientProtocol
+    from agent_framework import ChatClientProtocol
 
     client = MagicMock(spec=ChatClientProtocol)
     client.service_url = MagicMock(return_value="mock://test")

python/packages/devui/agent_framework_devui/_discovery.py

@@ -2,8 +2,6 @@
 
 """Agent Framework entity discovery implementation."""
 
-from __future__ import annotations
-
 import ast
 import importlib
 import importlib.util

python/packages/devui/agent_framework_devui/models/_discovery_models.py

@@ -2,8 +2,6 @@
 
 """Discovery API models for entity information."""
 
-from __future__ import annotations
-
 import re
 from typing import Any
 

python/packages/purview/agent_framework_purview/_cache.py

@@ -1,8 +1,6 @@
 # Copyright (c) Microsoft. All rights reserved.
 """Cache provider for Purview data."""
 
-from __future__ import annotations
-
 import hashlib
 import heapq
 import json

python/packages/purview/agent_framework_purview/_client.py

@@ -1,5 +1,4 @@
 # Copyright (c) Microsoft. All rights reserved.
-from __future__ import annotations
 
 import base64
 import inspect

python/packages/purview/agent_framework_purview/_exceptions.py

@@ -1,8 +1,6 @@
 # Copyright (c) Microsoft. All rights reserved.
 """Purview specific exceptions (minimal error shaping)."""
 
-from __future__ import annotations
-
 from agent_framework.exceptions import ServiceResponseException
 
 __all__ = [

python/packages/purview/agent_framework_purview/_middleware.py

@@ -1,5 +1,4 @@
 # Copyright (c) Microsoft. All rights reserved.
-from __future__ import annotations
 
 from collections.abc import Awaitable, Callable
 

python/packages/purview/agent_framework_purview/_processor.py

@@ -1,5 +1,4 @@
 # Copyright (c) Microsoft. All rights reserved.
-from __future__ import annotations
 
 import asyncio
 import uuid

python/packages/purview/agent_framework_purview/_settings.py

@@ -1,7 +1,5 @@
 # Copyright (c) Microsoft. All rights reserved.
 
-from __future__ import annotations
-
 from enum import Enum
 
 from agent_framework._pydantic import AFBaseSettings

python/samples/demos/chatkit-integration/app.py

@@ -250,7 +250,7 @@ class WeatherChatKitServer(ChatKitServer[dict[str, Any]]):
             context: The context dictionary.
         """
         logger.info(f"Attempting to update thread title for thread: {thread.id}")
-        
+
         if not thread_items:
             logger.debug("No thread items available for title generation")
             return

python/samples/getting_started/agents/ollama/ollama_with_openai_chat_client.py

@@ -33,7 +33,7 @@ async def non_streaming_example() -> None:
     print("=== Non-streaming Response Example ===")
 
     agent = OpenAIChatClient(
-        api_key="ollama", # Just a placeholder, Ollama doesn't require API key
+        api_key="ollama",  # Just a placeholder, Ollama doesn't require API key
         base_url=os.getenv("OLLAMA_ENDPOINT"),
         model_id=os.getenv("OLLAMA_MODEL"),
     ).create_agent(
@@ -53,7 +53,7 @@ async def streaming_example() -> None:
     print("=== Streaming Response Example ===")
 
     agent = OpenAIChatClient(
-        api_key="ollama", # Just a placeholder, Ollama doesn't require API key
+        api_key="ollama",  # Just a placeholder, Ollama doesn't require API key
         base_url=os.getenv("OLLAMA_ENDPOINT"),
         model_id=os.getenv("OLLAMA_MODEL"),
     ).create_agent(

python/samples/getting_started/azure_functions/01_single_agent/function_app.py

@@ -10,6 +10,8 @@ from typing import Any
 
 from agent_framework.azure import AgentFunctionApp, AzureOpenAIChatClient
 from azure.identity import AzureCliCredential
+
+
 # 1. Instantiate the agent with the chosen deployment and instructions.
 def _create_agent() -> Any:
     """Create the Joker agent."""

python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/function_app.py

@@ -40,6 +40,7 @@ class EmailPayload(BaseModel):
     email_id: str
     email_content: str
 
+
 # 2. Instantiate both agents so they can be registered with AgentFunctionApp.
 def _create_agents() -> list[Any]:
     chat_client = AzureOpenAIChatClient(credential=AzureCliCredential())

python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/function_app.py

@@ -275,7 +275,7 @@ async def get_orchestration_status(
         show_history_output=False,
         show_input=True,
     )
-    
+
     # Check if status is None or if the instance doesn't exist (runtime_status is None)
     if status is None or getattr(status, "runtime_status", None) is None:
         return func.HttpResponse(

python/samples/getting_started/devui/weather_agent_azure/agent.py

@@ -15,9 +15,9 @@ from agent_framework import (
     FunctionInvocationContext,
     Role,
     TextContent,
+    ai_function,
     chat_middleware,
     function_middleware,
-    ai_function
 )
 from agent_framework.azure import AzureOpenAIChatClient
 from agent_framework_devui import register_cleanup
@@ -122,6 +122,7 @@ def get_forecast(
 
     return f"Weather forecast for {location}:\n" + "\n".join(forecast)
 
+
 @ai_function(approval_mode="always_require")
 def send_email(
     recipient: Annotated[str, "The email address of the recipient."],
@@ -131,6 +132,7 @@ def send_email(
     """Simulate sending an email."""
     return f"Email sent to {recipient} with subject '{subject}'."
 
+
 # Agent instance following Agent Framework conventions
 agent = ChatAgent(
     name="AzureWeatherAgent",

python/samples/getting_started/multimodal_input/azure_chat_multimodal.py

@@ -13,6 +13,7 @@ def create_sample_image() -> str:
     png_data = "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8/5+hHgAHggJ/PchI7wAAAABJRU5ErkJggg=="
     return f"data:image/png;base64,{png_data}"
 
+
 async def test_image() -> None:
     """Test image analysis with Azure OpenAI."""
     # For authentication, run `az login` command in terminal or replace AzureCliCredential with preferred
@@ -37,5 +38,6 @@ async def main() -> None:
     print("Testing image analysis (supported by Chat Completions API)")
     await test_image()
 
+
 if __name__ == "__main__":
     asyncio.run(main())

python/samples/getting_started/purview_agent/sample_purview_agent.py

@@ -20,7 +20,6 @@ Environment variables:
 - PURVIEW_CERT_PASSWORD (optional)
 - PURVIEW_DEFAULT_USER_ID (optional, user ID for Purview evaluation)
 """
-from __future__ import annotations
 
 import asyncio
 import os
@@ -28,18 +27,17 @@ from typing import Any
 
 from agent_framework import AgentRunResponse, ChatAgent, ChatMessage, Role
 from agent_framework.azure import AzureOpenAIChatClient
+from agent_framework.microsoft import (
+    PurviewChatPolicyMiddleware,
+    PurviewPolicyMiddleware,
+    PurviewSettings,
+)
 from azure.identity import (
     AzureCliCredential,
     CertificateCredential,
     InteractiveBrowserCredential,
 )
 
-from agent_framework.microsoft import (
-    PurviewPolicyMiddleware,
-    PurviewChatPolicyMiddleware,
-    PurviewSettings,
-)
-
 JOKER_NAME = "Joker"
 JOKER_INSTRUCTIONS = "You are good at telling jokes. Keep responses concise."
 
@@ -96,7 +94,6 @@ class SimpleDictCacheProvider:
             print(f"[CustomCache] Removed key: {key[:50]}...")
 
 
-
 def _get_env(name: str, *, required: bool = True, default: str | None = None) -> str:
     val = os.environ.get(name, default)
     if required and not val:
@@ -176,7 +173,7 @@ async def run_with_chat_middleware() -> None:
 
     deployment = os.environ.get("AZURE_OPENAI_DEPLOYMENT_NAME", default="gpt-4o-mini")
     user_id = os.environ.get("PURVIEW_DEFAULT_USER_ID")
-    
+
     chat_client = AzureOpenAIChatClient(
         deployment_name=deployment,
         endpoint=endpoint,
@@ -216,6 +213,7 @@ async def run_with_chat_middleware() -> None:
     )
     print("Second response (chat middleware):\n", second)
 
+
 async def run_with_custom_cache_provider() -> None:
     """Demonstrate implementing and using a custom cache provider."""
     endpoint = os.environ.get("AZURE_OPENAI_ENDPOINT")
@@ -246,7 +244,7 @@ async def run_with_custom_cache_provider() -> None:
 
     print("-- Custom Cache Provider Path --")
     print("Using SimpleDictCacheProvider")
-    
+
     first: AgentRunResponse = await agent.run(
         ChatMessage(role=Role.USER, text="Tell me a joke about a programmer.", additional_properties={"user_id": user_id})
     )
@@ -256,7 +254,7 @@ async def run_with_custom_cache_provider() -> None:
         ChatMessage(role=Role.USER, text="That's hilarious! One more?", additional_properties={"user_id": user_id})
     )
     print("Second response (custom provider):\n", second)
-    
+
     """Demonstrate using the default built-in cache."""
     endpoint = os.environ.get("AZURE_OPENAI_ENDPOINT")
     if not endpoint:
@@ -286,7 +284,7 @@ async def run_with_custom_cache_provider() -> None:
 
     print("-- Default Cache Path --")
     print("Using default InMemoryCacheProvider with settings-based configuration")
-    
+
     first: AgentRunResponse = await agent.run(
         ChatMessage(role=Role.USER, text="Tell me a joke about AI.", additional_properties={"user_id": user_id})
     )
@@ -300,7 +298,7 @@ async def run_with_custom_cache_provider() -> None:
 
 async def main() -> None:
     print("== Purview Agent Sample (Middleware with Automatic Caching) ==")
-    
+
     try:
         await run_with_agent_middleware()
     except Exception as ex:  # pragma: no cover - demo resilience

python/samples/getting_started/tools/ai_function_from_dict_with_dependency_injection.py

@@ -50,7 +50,7 @@ async def main() -> None:
     # Create the AIFunction tool using dependency injection
     # The 'definition' dictionary contains the serialized tool configuration,
     # while the actual function implementation is provided via dependencies.
-    # 
+    #
     # Dependency structure: {"ai_function": {"name:add_numbers": {"func": func}}}
     # - "ai_function": matches the tool type identifier
     # - "name:add_numbers": instance-specific injection targeting tools with name="add_numbers"

python/samples/getting_started/tools/ai_function_with_approval_and_threads.py

@@ -45,7 +45,7 @@ async def approval_example() -> None:
     # Check for approval requests
     if result.user_input_requests:
         for request in result.user_input_requests:
-            print(f"\nApproval needed:")
+            print("\nApproval needed:")
             print(f"  Function: {request.function_call.name}")
             print(f"  Arguments: {request.function_call.arguments}")
 
@@ -79,12 +79,12 @@ async def rejection_example() -> None:
 
     if result.user_input_requests:
         for request in result.user_input_requests:
-            print(f"\nApproval needed:")
+            print("\nApproval needed:")
             print(f"  Function: {request.function_call.name}")
             print(f"  Arguments: {request.function_call.arguments}")
 
             # User rejects
-            print(f"  Decision: Rejected")
+            print("  Decision: Rejected")
 
             # Send rejection response
             rejection_response = request.create_response(approved=False)

python/samples/semantic-kernel-migration/azure_ai_agent/01_basic_azure_ai_agent.py

@@ -13,32 +13,30 @@ async def run_semantic_kernel() -> None:
     from azure.identity.aio import AzureCliCredential
     from semantic_kernel.agents import AzureAIAgent, AzureAIAgentSettings
 
-    async with AzureCliCredential() as credential:
-        async with AzureAIAgent.create_client(credential=credential) as client:
-            settings = AzureAIAgentSettings()  # Reads env vars for region/deployment.
-            # SK builds the remote agent definition then wraps it with AzureAIAgent.
-            definition = await client.agents.create_agent(
-                model=settings.model_deployment_name,
-                name="Support",
-                instructions="Answer customer questions in one paragraph.",
-            )
-            agent = AzureAIAgent(client=client, definition=definition)
-            response = await agent.get_response("How do I upgrade my plan?")
-            print("[SK]", response.message.content)
+    async with AzureCliCredential() as credential, AzureAIAgent.create_client(credential=credential) as client:
+        settings = AzureAIAgentSettings()  # Reads env vars for region/deployment.
+        # SK builds the remote agent definition then wraps it with AzureAIAgent.
+        definition = await client.agents.create_agent(
+            model=settings.model_deployment_name,
+            name="Support",
+            instructions="Answer customer questions in one paragraph.",
+        )
+        agent = AzureAIAgent(client=client, definition=definition)
+        response = await agent.get_response("How do I upgrade my plan?")
+        print("[SK]", response.message.content)
 
 
 async def run_agent_framework() -> None:
-    from azure.identity.aio import AzureCliCredential
     from agent_framework.azure import AzureAIAgentClient
+    from azure.identity.aio import AzureCliCredential
 
-    async with AzureCliCredential() as credential:
-        async with AzureAIAgentClient(async_credential=credential).create_agent(
-            name="Support",
-            instructions="Answer customer questions in one paragraph.",
-        ) as agent:
-            # AF client returns an asynchronous context manager for remote agents.
-            reply = await agent.run("How do I upgrade my plan?")
-            print("[AF]", reply.text)
+    async with AzureCliCredential() as credential, AzureAIAgentClient(async_credential=credential).create_agent(
+        name="Support",
+        instructions="Answer customer questions in one paragraph.",
+    ) as agent:
+        # AF client returns an asynchronous context manager for remote agents.
+        reply = await agent.run("How do I upgrade my plan?")
+        print("[AF]", reply.text)
 
 
 async def main() -> None:

python/samples/semantic-kernel-migration/azure_ai_agent/02_azure_ai_agent_with_code_interpreter.py

@@ -13,39 +13,37 @@ async def run_semantic_kernel() -> None:
     from azure.identity.aio import AzureCliCredential
     from semantic_kernel.agents import AzureAIAgent, AzureAIAgentSettings
 
-    async with AzureCliCredential() as credential:
-        async with AzureAIAgent.create_client(credential=credential) as client:
-            settings = AzureAIAgentSettings()
-            # Register the hosted code interpreter tool with the remote agent.
-            definition = await client.agents.create_agent(
-                model=settings.model_deployment_name,
-                name="Analyst",
-                instructions="Use the code interpreter for numeric work.",
-                tools=[{"type": "code_interpreter"}],
-            )
-            agent = AzureAIAgent(client=client, definition=definition)
-            response = await agent.get_response(
-                "Use Python to compute 42 ** 2 and explain the result.",
-            )
-            print("[SK]", response.message.content)
+    async with AzureCliCredential() as credential, AzureAIAgent.create_client(credential=credential) as client:
+        settings = AzureAIAgentSettings()
+        # Register the hosted code interpreter tool with the remote agent.
+        definition = await client.agents.create_agent(
+            model=settings.model_deployment_name,
+            name="Analyst",
+            instructions="Use the code interpreter for numeric work.",
+            tools=[{"type": "code_interpreter"}],
+        )
+        agent = AzureAIAgent(client=client, definition=definition)
+        response = await agent.get_response(
+            "Use Python to compute 42 ** 2 and explain the result.",
+        )
+        print("[SK]", response.message.content)
 
 
 async def run_agent_framework() -> None:
-    from azure.identity.aio import AzureCliCredential
     from agent_framework.azure import AzureAIAgentClient, HostedCodeInterpreterTool
+    from azure.identity.aio import AzureCliCredential
 
-    async with AzureCliCredential() as credential:
-        async with AzureAIAgentClient(async_credential=credential).create_agent(
-            name="Analyst",
-            instructions="Use the code interpreter for numeric work.",
-            tools=[HostedCodeInterpreterTool()],
-        ) as agent:
-            # HostedCodeInterpreterTool mirrors the built-in Azure AI capability.
-            reply = await agent.run(
-                "Use Python to compute 42 ** 2 and explain the result.",
-                tool_choice="auto",
-            )
-            print("[AF]", reply.text)
+    async with AzureCliCredential() as credential, AzureAIAgentClient(async_credential=credential).create_agent(
+        name="Analyst",
+        instructions="Use the code interpreter for numeric work.",
+        tools=[HostedCodeInterpreterTool()],
+    ) as agent:
+        # HostedCodeInterpreterTool mirrors the built-in Azure AI capability.
+        reply = await agent.run(
+            "Use Python to compute 42 ** 2 and explain the result.",
+            tool_choice="auto",
+        )
+        print("[AF]", reply.text)
 
 
 async def main() -> None:

python/samples/semantic-kernel-migration/azure_ai_agent/03_azure_ai_agent_threads_and_followups.py

@@ -8,53 +8,51 @@ async def run_semantic_kernel() -> None:
     from azure.identity.aio import AzureCliCredential
     from semantic_kernel.agents import AzureAIAgent, AzureAIAgentSettings, AzureAIAgentThread
 
-    async with AzureCliCredential() as credential:
-        async with AzureAIAgent.create_client(credential=credential) as client:
-            settings = AzureAIAgentSettings()
-            definition = await client.agents.create_agent(
-                model=settings.model_deployment_name,
-                name="Planner",
-                instructions="Track follow-up questions within the same thread.",
-            )
-            agent = AzureAIAgent(client=client, definition=definition)
+    async with AzureCliCredential() as credential, AzureAIAgent.create_client(credential=credential) as client:
+        settings = AzureAIAgentSettings()
+        definition = await client.agents.create_agent(
+            model=settings.model_deployment_name,
+            name="Planner",
+            instructions="Track follow-up questions within the same thread.",
+        )
+        agent = AzureAIAgent(client=client, definition=definition)
 
-            thread: AzureAIAgentThread | None = None
-            # SK returns the updated AzureAIAgentThread on each response.
-            first = await agent.get_response("Outline the onboarding checklist.", thread=thread)
-            thread = first.thread
-            print("[SK][turn1]", first.message.content)
+        thread: AzureAIAgentThread | None = None
+        # SK returns the updated AzureAIAgentThread on each response.
+        first = await agent.get_response("Outline the onboarding checklist.", thread=thread)
+        thread = first.thread
+        print("[SK][turn1]", first.message.content)
 
-            second = await agent.get_response(
-                "Highlight the items that require legal review.",
-                thread=thread,
-            )
-            print("[SK][turn2]", second.message.content)
-            if thread is not None:
-                print("[SK][thread-id]", thread.id)
+        second = await agent.get_response(
+            "Highlight the items that require legal review.",
+            thread=thread,
+        )
+        print("[SK][turn2]", second.message.content)
+        if thread is not None:
+            print("[SK][thread-id]", thread.id)
 
 
 async def run_agent_framework() -> None:
-    from azure.identity.aio import AzureCliCredential
     from agent_framework.azure import AzureAIAgentClient
+    from azure.identity.aio import AzureCliCredential
 
-    async with AzureCliCredential() as credential:
-        async with AzureAIAgentClient(async_credential=credential).create_agent(
-            name="Planner",
-            instructions="Track follow-up questions within the same thread.",
-        ) as agent:
-            thread = agent.get_new_thread()
-            # AF threads are explicit and can be serialized for external storage.
-            first = await agent.run("Outline the onboarding checklist.", thread=thread)
-            print("[AF][turn1]", first.text)
+    async with AzureCliCredential() as credential, AzureAIAgentClient(async_credential=credential).create_agent(
+        name="Planner",
+        instructions="Track follow-up questions within the same thread.",
+    ) as agent:
+        thread = agent.get_new_thread()
+        # AF threads are explicit and can be serialized for external storage.
+        first = await agent.run("Outline the onboarding checklist.", thread=thread)
+        print("[AF][turn1]", first.text)
 
-            second = await agent.run(
-                "Highlight the items that require legal review.",
-                thread=thread,
-            )
-            print("[AF][turn2]", second.text)
+        second = await agent.run(
+            "Highlight the items that require legal review.",
+            thread=thread,
+        )
+        print("[AF][turn2]", second.text)
 
-            serialized = await thread.serialize()
-            print("[AF][thread-json]", serialized)
+        serialized = await thread.serialize()
+        print("[AF][thread-json]", serialized)
 
 
 async def main() -> None:

python/tests/samples/getting_started/test_agent_samples.py

@@ -7,6 +7,18 @@ from typing import Any
 
 import pytest
 from pytest import MonkeyPatch, mark, param
+from samples.getting_started.agents.azure_ai.azure_ai_with_function_tools import (
+    mixed_tools_example as azure_ai_with_function_tools_mixed,
+)
+from samples.getting_started.agents.azure_ai.azure_ai_with_function_tools import (
+    tools_on_agent_level as azure_ai_with_function_tools_agent,
+)
+from samples.getting_started.agents.azure_ai.azure_ai_with_function_tools import (
+    tools_on_run_level as azure_ai_with_function_tools_run,
+)
+from samples.getting_started.agents.azure_ai.azure_ai_with_local_mcp import (
+    main as azure_ai_with_local_mcp,
+)
 
 from samples.getting_started.agents.azure_ai.azure_ai_basic import (
     main as azure_ai_basic,
@@ -20,18 +32,6 @@ from samples.getting_started.agents.azure_ai.azure_ai_with_existing_agent import
 from samples.getting_started.agents.azure_ai.azure_ai_with_explicit_settings import (
     main as azure_ai_with_explicit_settings,
 )
-from samples.getting_started.agents.azure_ai.azure_ai_with_function_tools import (
-    mixed_tools_example as azure_ai_with_function_tools_mixed,
-)
-from samples.getting_started.agents.azure_ai.azure_ai_with_function_tools import (
-    tools_on_agent_level as azure_ai_with_function_tools_agent,
-)
-from samples.getting_started.agents.azure_ai.azure_ai_with_function_tools import (
-    tools_on_run_level as azure_ai_with_function_tools_run,
-)
-from samples.getting_started.agents.azure_ai.azure_ai_with_local_mcp import (
-    main as azure_ai_with_local_mcp,
-)
 from samples.getting_started.agents.azure_ai.azure_ai_with_thread import (
     main as azure_ai_with_thread,
 )

python/uv.lock

@@ -3144,31 +3144,31 @@ wheels = [
 
 [[package]]
 name = "microsoft-agents-activity"
-version = "0.5.3"
+version = "0.6.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "pydantic", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/7e/51/2698980f425cda122f5b755a957c3c2db604c0b9a787c6add5aa4649c237/microsoft_agents_activity-0.5.3.tar.gz", hash = "sha256:d80b055591df561df8cebda9e1712012352581a396b36459133a951982b3a760", size = 55892, upload-time = "2025-10-31T15:40:49.332Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/cb/c5/ec0b5786257b88a21245d9485e864088cbdc60442e21b637cc1433f6061b/microsoft_agents_activity-0.6.0.tar.gz", hash = "sha256:9b23a44def700d1d18670e28e2e7e66e8679dfb902dadcd94902d5591cda65a4", size = 57481, upload-time = "2025-11-18T18:12:33.351Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/75/3d/9618243e7b6f1f6295642c4e2dfca65b3a37794efbe1bdec15f0a93827d9/microsoft_agents_activity-0.5.3-py3-none-any.whl", hash = "sha256:5ae2447ac47c32f03c614694f520817cd225c9c502ec08b90d448311fb5bf3b4", size = 127861, upload-time = "2025-10-31T15:40:57.628Z" },
+    { url = "https://files.pythonhosted.org/packages/fe/6b/e07cbd310881eda75def2d13220f27648f8c2632b16244536d33069e6bd5/microsoft_agents_activity-0.6.0-py3-none-any.whl", hash = "sha256:bfcd0f55ac332320ca927f829f6fb200acff1bd61fb6aba9945906130fec7d06", size = 131093, upload-time = "2025-11-18T18:12:41.796Z" },
 ]
 
 [[package]]
 name = "microsoft-agents-copilotstudio-client"
-version = "0.5.3"
+version = "0.6.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "microsoft-agents-hosting-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/7e/22/109164fb585c4baee40d2372c5d76254ec4a28219908f11cd27ac92aa6c1/microsoft_agents_copilotstudio_client-0.5.3.tar.gz", hash = "sha256:a57ea6b3cb47dbb5ad22e59c986208ace6479e35da3f644e6346f4dfd85db57c", size = 11161, upload-time = "2025-10-31T15:40:51.444Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/88/23/67833eac41963a7a0110b8fe3b9329c65388ccf50f6b1f694e92e0cb3918/microsoft_agents_copilotstudio_client-0.6.0.tar.gz", hash = "sha256:2964e164cc0175614aa356aaab01fda48153961304f11cdaef2a45710d922805", size = 11756, upload-time = "2025-11-18T18:12:35.842Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/c4/65/984e139c85657ff0c8df0ed98a167c8b9434f4fd4f32862b4a6490b8c714/microsoft_agents_copilotstudio_client-0.5.3-py3-none-any.whl", hash = "sha256:6a36fce5c8c1a2df6f5142e35b12c69be80959ecff6d60cc309661018c40f00a", size = 11091, upload-time = "2025-10-31T15:40:59.718Z" },
+    { url = "https://files.pythonhosted.org/packages/56/1f/75e8618bed71da736104d5d4c41137fdb28672660e0257d59ea6d6fd4029/microsoft_agents_copilotstudio_client-0.6.0-py3-none-any.whl", hash = "sha256:733affebee8b4e7d204e66ff91e3162d4f498f2944b45a19eec0a8234eea67b5", size = 12340, upload-time = "2025-11-18T18:12:43.572Z" },
 ]
 
 [[package]]
 name = "microsoft-agents-hosting-core"
-version = "0.5.3"
+version = "0.6.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "azure-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -3177,9 +3177,9 @@ dependencies = [
     { name = "pyjwt", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
     { name = "python-dotenv", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/b1/98/7755c07b2ae5faf3e4dc14b17e44680a600c8b840b3003fb326d5720dea1/microsoft_agents_hosting_core-0.5.3.tar.gz", hash = "sha256:b113d4ea5c9e555bbf61037bb2a1a7a3ce7e5e4a7a0f681a3bd4719ba72ff821", size = 81672, upload-time = "2025-10-31T15:40:53.557Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/ea/02/893e4a2f789b3c91550e6aefd53a9b88d3bea8f4f15ae1fee141691fb5fb/microsoft_agents_hosting_core-0.6.0.tar.gz", hash = "sha256:0331573dbc2ae8f4339658ed600676c3a4a76ade403b4adc49c4d38afd3fdc36", size = 82802, upload-time = "2025-11-18T18:12:37.518Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/95/57/c9e98475971c9da9cc9ff88195bbfcfae90dba511ebe14610be79f23ab3f/microsoft_agents_hosting_core-0.5.3-py3-none-any.whl", hash = "sha256:8c228a8814dcf1a86dd60e4c7574a2e86078962695fabd693a118097e703e982", size = 120668, upload-time = "2025-10-31T15:41:01.691Z" },
+    { url = "https://files.pythonhosted.org/packages/8b/46/01d12043fc6e31c3cd894ef6d17d4586ea2a0a918c83842e2db5b8728f1c/microsoft_agents_hosting_core-0.6.0-py3-none-any.whl", hash = "sha256:9f07df7835a4c0f527b66e64e57dbfcbd9ec7c6140cc829f6e99f061b4084783", size = 122494, upload-time = "2025-11-18T18:12:45.639Z" },
 ]
 
 [[package]]
@@ -3662,7 +3662,7 @@ wheels = [
 
 [[package]]
 name = "openai-agents"
-version = "0.5.1"
+version = "0.6.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "griffe", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -3673,14 +3673,14 @@ dependencies = [
     { name = "types-requests", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
     { name = "typing-extensions", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
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