Python: refresh dev dependencies and validate runtime bounds

python/packages/a2a/agent_framework_a2a/_a2a_executor.py

@@ -287,9 +287,7 @@ async def handle_events(
                     artifact_id=artifact_id,
                     metadata=metadata,
                     append=(
-                        True
-                        if streamed_artifact_ids is not None and artifact_id in streamed_artifact_ids
-                        else None
+                        True if streamed_artifact_ids is not None and artifact_id in streamed_artifact_ids else None
                     ),
                 )
                 if artifact_id and streamed_artifact_ids is not None:

python/packages/core/agent_framework/_middleware.py

@@ -36,11 +36,10 @@
     from pydantic import BaseModel
 
     from ._agents import SupportsAgentRun
-    from ._clients import SupportsChatGetResponse
     from ._compaction import CompactionStrategy, TokenizerProtocol
     from ._sessions import AgentSession
     from ._tools import FunctionTool, ToolTypes
-    from ._types import ChatOptions, ChatResponse, ChatResponseUpdate
+    from ._types import ChatOptions
 
     ResponseModelBoundT = TypeVar("ResponseModelBoundT", bound=BaseModel)
 

python/packages/core/agent_framework/_skills.py

@@ -2134,9 +2134,7 @@ async def _run_script(
             ),
             FunctionTool(
                 name="read_skill_resource",
-                description=(
-                    "Reads a resource associated with a skill, such as references, assets, or dynamic data."
-                ),
+                description=("Reads a resource associated with a skill, such as references, assets, or dynamic data."),
                 func=_read_resource,
                 input_model={
                     "type": "object",
@@ -2173,8 +2171,7 @@ async def _run_script(
                                     "type": "object",
                                     "additionalProperties": True,
                                     "description": (
-                                        "Named arguments as key-value pairs "
-                                        '(e.g. {"length": 24, "uppercase": true}).'
+                                        'Named arguments as key-value pairs (e.g. {"length": 24, "uppercase": true}).'
                                     ),
                                 },
                                 {

python/packages/core/tests/core/test_skills.py

@@ -4086,8 +4086,8 @@ async def test_full_skill_content_contains_scripts(self) -> None:
 
     async def test_content_is_cached(self) -> None:
         skill = _MinimalClassSkill()
-        content1 = (await skill.get_content())
-        content2 = (await skill.get_content())
+        content1 = await skill.get_content()
+        content2 = await skill.get_content()
         assert content1 is content2
 
     def test_resources_are_lazy_cached(self) -> None:
@@ -5587,8 +5587,8 @@ class TestInlineSkillContentCaching:
     async def test_content_cached_after_first_access(self) -> None:
         """InlineSkill.content returns the same object on subsequent accesses."""
         skill = InlineSkill(frontmatter=SkillFrontmatter(name="test-skill", description="Test"), instructions="Body")
-        first = (await skill.get_content())
-        second = (await skill.get_content())
+        first = await skill.get_content()
+        second = await skill.get_content()
         assert first is second  # Same object (cached)
         assert "<name>test-skill</name>" in first
 

python/packages/declarative/pyproject.toml

@@ -29,7 +29,7 @@ dependencies = [
 ]
 [dependency-groups]
 dev = [
-    "types-PyYaml==6.0.12.20250915"
+    "types-PyYaml==6.0.12.20260518"
 ]
 
 [tool.uv]

python/packages/devui/agent_framework_devui/_server.py

@@ -375,13 +375,15 @@ async def lifespan(app: FastAPI) -> AsyncGenerator[None]:
             logger.info("Starting Agent Framework Server")
             await self._ensure_executor()
             await self._ensure_openai_executor()  # Initialize OpenAI executor
-            yield
-            # Shutdown
-            logger.info("Shutting down Agent Framework Server")
-
-            # Cleanup entity resources (e.g., close credentials, clients)
-            if self.executor:
-                await self._cleanup_entities()
+            try:
+                yield
+            finally:
+                # Shutdown
+                logger.info("Shutting down Agent Framework Server")
+
+                # Cleanup entity resources (e.g., close credentials, clients)
+                if self.executor:
+                    await self._cleanup_entities()
 
         app = FastAPI(
             title="Agent Framework Server",

python/packages/durabletask/pyproject.toml

@@ -30,7 +30,7 @@ dependencies = [
 
 [dependency-groups]
 dev = [
-    "types-python-dateutil==2.9.0.20260402",
+    "types-python-dateutil==2.9.0.20260518",
 ]
 
 [tool.uv]

python/packages/foundry/agent_framework_foundry/_agent.py

@@ -57,8 +57,6 @@
     from agent_framework import (
         Agent,
         AgentRunInputs,
-        ChatAndFunctionMiddlewareTypes,
-        ContextProvider,
         MiddlewareTypes,
         ToolTypes,
     )

python/packages/lab/pyproject.toml

@@ -57,19 +57,19 @@ math = [
 
 [dependency-groups]
 dev = [
-    "uv==0.11.6",
-    "ruff==0.15.8",
+    "uv==0.11.17",
+    "ruff==0.15.15",
     "pytest==9.0.3",
     "mypy==1.20.0",
     "pyright==1.1.408",
     #tasks
-    "poethepoet==0.42.1",
+    "poethepoet==0.46.0",
     "rich>=13.7.1,<15.0.0",
     "tomli==2.4.1",
     "tomli-w==1.2.0",
     # tau2 from source (not available on PyPI)
     "tau2@ git+https://github.com/sierra-research/tau2-bench@5ba9e3e56db57c5e4114bf7f901291f09b2c5619",
-    "prek==0.3.9",
+    "prek==0.4.3",
 ]
 
 [project.scripts]

python/pyproject.toml

@@ -28,25 +28,25 @@ dependencies = [
 
 [dependency-groups]
 dev = [
-    "uv==0.11.6",
+    "uv==0.11.17",
     "flit==3.12.0",
-    "ruff==0.15.8",
+    "ruff==0.15.15",
     "pytest==9.0.3",
-    "pytest-asyncio==1.3.0",
+    "pytest-asyncio==1.4.0",
     "pytest-cov==7.1.0",
     "pytest-xdist[psutil]==3.8.0",
     "pytest-timeout==2.4.0",
     "pytest-retry==1.7.0",
     "mypy==1.20.0",
     "pyright==1.1.408",
-    "mcp[ws]==1.27.0",
+    "mcp[ws]==1.27.2",
     "opentelemetry-sdk==1.40.0",
-    "azure-monitor-opentelemetry==1.8.7",
+    "azure-monitor-opentelemetry==1.8.8",
     #tasks
-    "poethepoet==0.42.1",
+    "poethepoet==0.46.0",
     "rich>=13.7.1,<16.0.0",
     "tomli==2.4.1",
-    "prek==0.3.9",
+    "prek==0.4.3",
 ]
 
 [tool.uv]

python/samples/02-agents/harness/harness_research.py

@@ -109,7 +109,10 @@ async def main() -> None:
                         print(f"\n  [calling tool: {content.name}]", flush=True)
                         print("  ", end="", flush=True)
                     # Show web search activity when the result arrives with action details.
-                    elif content.type in ("search_tool_call", "search_tool_result") and getattr(content, "tool_name", None) == "web_search":
+                    elif (
+                        content.type in ("search_tool_call", "search_tool_result")
+                        and getattr(content, "tool_name", None) == "web_search"
+                    ):
                         action = None
                         if content.type == "search_tool_result" and isinstance(content.result, dict):
                             action = content.result.get("action", {})

python/samples/autogen-migration/orchestrations/02_selector_group_chat.py

@@ -74,19 +74,22 @@ async def run_agent_framework() -> None:
     client = OpenAIChatClient(model="gpt-4.1-mini")
 
     # Create specialized agents
-    python_expert = Agent(client=client,
+    python_expert = Agent(
+        client=client,
         name="python_expert",
         instructions="You are a Python programming expert. Answer Python-related questions.",
         description="Expert in Python programming",
     )
 
-    javascript_expert = Agent(client=client,
+    javascript_expert = Agent(
+        client=client,
         name="javascript_expert",
         instructions="You are a JavaScript programming expert. Answer JavaScript-related questions.",
         description="Expert in JavaScript programming",
     )
 
-    database_expert = Agent(client=client,
+    database_expert = Agent(
+        client=client,
         name="database_expert",
         instructions="You are a database expert. Answer SQL and database-related questions.",
         description="Expert in databases and SQL",
@@ -95,7 +98,8 @@ async def run_agent_framework() -> None:
     workflow = GroupChatBuilder(
         participants=[python_expert, javascript_expert, database_expert],
         max_rounds=1,
-        orchestrator_agent=Agent(client=client,
+        orchestrator_agent=Agent(
+            client=client,
             name="selector_manager",
             instructions="Based on the conversation, select the most appropriate expert to respond next.",
         ),

python/samples/autogen-migration/orchestrations/03_swarm.py

@@ -113,7 +113,8 @@ async def run_agent_framework() -> None:
     client = OpenAIChatClient(model="gpt-4.1-mini")
 
     # Create triage agent
-    triage_agent = Agent(client=client,
+    triage_agent = Agent(
+        client=client,
         name="triage",
         instructions=(
             "You are a triage agent. Analyze the user's request and route to the appropriate specialist:\n"
@@ -125,15 +126,17 @@ async def run_agent_framework() -> None:
     )
 
     # Create billing specialist
-    billing_agent = Agent(client=client,
+    billing_agent = Agent(
+        client=client,
         name="billing_agent",
         instructions="You are a billing specialist. Help with payment and billing questions. Provide clear assistance.",
         description="Handles billing and payment questions",
         require_per_service_call_history_persistence=True,
     )
 
     # Create technical support specialist
-    tech_support = Agent(client=client,
+    tech_support = Agent(
+        client=client,
         name="technical_support",
         instructions="You are technical support. Help with technical issues. Provide clear assistance.",
         description="Handles technical support questions",

python/samples/autogen-migration/single_agent/02_agent_with_tool.py

@@ -73,7 +73,8 @@ def get_weather(location: str) -> str:
 
     # Create agent with tool
     client = OpenAIChatClient(model="gpt-4.1-mini")
-    agent = Agent(client=client,
+    agent = Agent(
+        client=client,
         name="assistant",
         instructions="You are a helpful assistant. Use available tools to answer questions.",
         tools=[get_weather],

python/samples/autogen-migration/single_agent/04_agent_as_tool.py

@@ -61,7 +61,8 @@ async def run_agent_framework() -> None:
     client = OpenAIChatClient(model="gpt-4.1-mini")
 
     # Create specialized writer agent
-    writer = Agent(client=client,
+    writer = Agent(
+        client=client,
         name="writer",
         instructions="You are a creative writer. Write short, engaging content.",
     )
@@ -75,7 +76,8 @@ async def run_agent_framework() -> None:
     )
 
     # Create coordinator agent with writer tool
-    coordinator = Agent(client=client,
+    coordinator = Agent(
+        client=client,
         name="coordinator",
         instructions="You coordinate with specialized agents. Delegate writing tasks to the writer agent.",
         tools=[writer_tool],

python/samples/semantic-kernel-migration/orchestrations/sequential.py

@@ -78,12 +78,14 @@ async def sk_agent_response_callback(
 async def run_agent_framework_example(prompt: str) -> list[Message]:
     client = OpenAIChatCompletionClient(credential=AzureCliCredential())
 
-    writer = Agent(client=client,
+    writer = Agent(
+        client=client,
         instructions=("You are a concise copywriter. Provide a single, punchy marketing sentence based on the prompt."),
         name="writer",
     )
 
-    reviewer = Agent(client=client,
+    reviewer = Agent(
+        client=client,
         instructions=("You are a thoughtful reviewer. Give brief feedback on the previous assistant message."),
         name="reviewer",
     )

python/tests/samples/hosting/test_toolbox_endpoint.py

@@ -30,11 +30,7 @@
 # Load the two sample modules by file path to avoid needing them on sys.path.
 # ---------------------------------------------------------------------------
 _RESPONSES_DIR = (
-    Path(__file__).parent.parent.parent.parent
-    / "samples"
-    / "04-hosting"
-    / "foundry-hosted-agents"
-    / "responses"
+    Path(__file__).parent.parent.parent.parent / "samples" / "04-hosting" / "foundry-hosted-agents" / "responses"
 )