diff --git a/.github/actions/azure-functions-integration-setup/action.yml b/.github/actions/azure-functions-integration-setup/action.yml
index 0d3af29..4e20a63 100644
--- a/.github/actions/azure-functions-integration-setup/action.yml
+++ b/.github/actions/azure-functions-integration-setup/action.yml
@@ -25,7 +25,11 @@ runs:
             docker rm -f azurite
           fi
           echo "Starting Azurite (Azure Storage emulator)"
-          docker run -d --name azurite -p 10000:10000 -p 10001:10001 -p 10002:10002 mcr.microsoft.com/azure-storage/azurite
+          # The preview extension bundle's DurableTask.AzureStorage speaks Storage API
+          # 2026-02-06, which Azurite rejects until it ships support for it. Repeat the
+          # image's default arguments because they are replaced, not appended to.
+          docker run -d --name azurite -p 10000:10000 -p 10001:10001 -p 10002:10002 mcr.microsoft.com/azure-storage/azurite \
+            azurite -l /data --blobHost 0.0.0.0 --queueHost 0.0.0.0 --tableHost 0.0.0.0 --skipApiVersionCheck
           echo "Waiting for Azurite (Azure Storage emulator) to be ready"
           # An unauthenticated storage request returns HTTP 400 once Azurite is ready.
           timeout 30 bash -c 'until curl --silent --show-error --output /dev/null http://localhost:10000/devstoreaccount1; do sleep 1; done'
diff --git a/.github/workflows/python-integration-tests.yml b/.github/workflows/python-integration-tests.yml
index 9ed2078..5adfccf 100644
--- a/.github/workflows/python-integration-tests.yml
+++ b/.github/workflows/python-integration-tests.yml
@@ -33,9 +33,9 @@ jobs:
       - name: Setup Python
         uses: actions/setup-python@v5
         with:
-          # Core Tools 4.12.1 predates the Python 3.13 proxy-worker fix for
-          # monorepo-level virtual environments (azure-functions-python-worker#1833).
-          python-version: "3.12"
+          # azure-functions-durable 2.x requires Python 3.13. Core Tools 4.13.0 is the
+          # first release carrying a host new enough to run it.
+          python-version: "3.13"
 
       - name: Install uv
         uses: astral-sh/setup-uv@v6
@@ -75,10 +75,17 @@ jobs:
         working-directory: python
         run: uv sync --all-packages --group dev --group test
 
+      # agent-framework-azurefunctions is a standalone uv project (it requires
+      # Python 3.13 via azure-functions-durable 2.x), so it has its own lockfile
+      # and environment rather than being a member of the workspace above.
+      - name: Sync azurefunctions project
+        working-directory: python/packages/azurefunctions
+        run: uv sync --group dev --group test
+
       - name: Integration tests
         working-directory: python
         run: uv run pytest packages/durabletask/tests/integration_tests -m integration -n 4 --dist loadscope --timeout 480
 
       - name: Azure Functions integration tests
-        working-directory: python
-        run: uv run pytest packages/azurefunctions/tests/integration_tests -m integration -n 4 --dist loadscope --timeout 480
+        working-directory: python/packages/azurefunctions
+        run: uv run pytest tests/integration_tests -m integration -n 4 --dist loadscope --timeout 480
diff --git a/.github/workflows/python-merge-tests.yml b/.github/workflows/python-merge-tests.yml
index 6bd9a3c..c89edcf 100644
--- a/.github/workflows/python-merge-tests.yml
+++ b/.github/workflows/python-merge-tests.yml
@@ -13,13 +13,16 @@ on:
   workflow_dispatch:
 
 jobs:
-  build-test-package:
-    name: Python ${{ matrix.python-version }}
+  durabletask:
+    name: durabletask (Python ${{ matrix.python-version }})
     runs-on: ubuntu-latest
     strategy:
       fail-fast: false
       matrix:
         python-version: ["3.10", "3.11", "3.12", "3.13"]
+    defaults:
+      run:
+        working-directory: python
 
     steps:
       - name: Checkout
@@ -34,38 +37,74 @@ jobs:
         uses: astral-sh/setup-uv@v6
 
       - name: Sync workspace
-        working-directory: python
         run: uv sync --all-packages --group dev --group test
 
       - name: Ruff
-        working-directory: python
-        run: uv run ruff check packages/durabletask packages/azurefunctions
+        run: uv run ruff check packages/durabletask
 
       - name: Pyright (source)
-        working-directory: python
-        run: |
-          uv run pyright -p packages/durabletask/pyproject.toml
-          uv run pyright -p packages/azurefunctions/pyproject.toml
+        run: uv run pyright -p packages/durabletask/pyproject.toml
 
       - name: MyPy (tests)
-        working-directory: python
-        run: |
-          uv run mypy --config-file pyproject.toml packages/durabletask/tests
-          uv run mypy --config-file pyproject.toml packages/azurefunctions/tests
+        run: uv run mypy --config-file pyproject.toml packages/durabletask/tests
 
       - name: Unit tests
-        working-directory: python
-        run: uv run pytest -m "not integration" packages/durabletask/tests packages/azurefunctions/tests --cov=agent_framework_durabletask --cov=agent_framework_azurefunctions --cov-report=term-missing:skip-covered
+        run: uv run pytest -m "not integration" packages/durabletask/tests --cov=agent_framework_durabletask --cov-report=term-missing:skip-covered
 
       - name: Build package
-        working-directory: python
-        run: |
-          uv build packages/durabletask --out-dir dist
-          uv build packages/azurefunctions --out-dir dist
+        run: uv build packages/durabletask --out-dir dist
 
       - name: Upload package
         if: matrix.python-version == '3.13'
         uses: actions/upload-artifact@v4
         with:
-          name: python-package
+          name: python-package-durabletask
           path: python/dist/*
+
+  azurefunctions:
+    # agent-framework-azurefunctions depends on azure-functions-durable 2.x, which
+    # requires Python 3.13. uv resolves a workspace to one lock over the intersection
+    # of its members' requires-python, so this package is a standalone uv project
+    # with its own lockfile rather than a member of the workspace above. That keeps
+    # agent-framework-durabletask on 3.10+ and its full matrix.
+    name: azurefunctions (Python 3.13)
+    runs-on: ubuntu-latest
+    defaults:
+      run:
+        working-directory: python/packages/azurefunctions
+
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+
+      - name: Setup Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: "3.13"
+
+      - name: Install uv
+        uses: astral-sh/setup-uv@v6
+
+      - name: Sync project
+        run: uv sync --group dev --group test
+
+      - name: Ruff
+        run: uv run ruff check agent_framework_azurefunctions tests
+
+      - name: Pyright (source)
+        run: uv run pyright -p pyproject.toml
+
+      - name: MyPy (tests)
+        run: uv run mypy --config-file ../../pyproject.toml tests
+
+      - name: Unit tests
+        run: uv run pytest -m "not integration" tests --cov=agent_framework_azurefunctions --cov-report=term-missing:skip-covered
+
+      - name: Build package
+        run: uv build . --out-dir dist
+
+      - name: Upload package
+        uses: actions/upload-artifact@v4
+        with:
+          name: python-package-azurefunctions
+          path: python/packages/azurefunctions/dist/*
diff --git a/eng/templates/jobs/python-integration-tests.yml b/eng/templates/jobs/python-integration-tests.yml
index 7f4f5ef..2eeba1f 100644
--- a/eng/templates/jobs/python-integration-tests.yml
+++ b/eng/templates/jobs/python-integration-tests.yml
@@ -29,10 +29,13 @@ jobs:
 
       - bash: |
           set -euo pipefail
-          # Core Tools 4.12.1 predates the Python 3.13 proxy-worker fix for
-          # monorepo-level virtual environments (azure-functions-python-worker#1833).
-          uv python install 3.12
-          uv sync --python 3.12 --all-packages --group dev --group test
+          # azure-functions-durable 2.x requires Python 3.13. Core Tools 4.13.0 is the
+          # first release carrying a host new enough to run it.
+          uv python install 3.13
+          uv sync --python 3.13 --all-packages --group dev --group test
+          # agent-framework-azurefunctions is a standalone uv project with its own
+          # lockfile, so it is synced separately from the workspace above.
+          uv sync --python 3.13 --group dev --group test --directory packages/azurefunctions
         workingDirectory: python
         displayName: 'Sync Python workspace'
         env:
@@ -94,15 +97,15 @@ jobs:
           azureSubscription: ${{ parameters.azureServiceConnection }}
           scriptType: bash
           scriptLocation: inlineScript
-          workingDirectory: $(Build.SourcesDirectory)/python
+          workingDirectory: $(Build.SourcesDirectory)/python/packages/azurefunctions
           inlineScript: |
             set -euo pipefail
-            uv run --no-sync pytest packages/azurefunctions/tests/integration_tests \
+            uv run --no-sync pytest tests/integration_tests \
               -m integration \
               -n logical \
               --dist worksteal \
               --timeout 480 \
-              --junitxml ../artifacts/test-results/python-azurefunctions-integration.xml
+              --junitxml ../../../artifacts/test-results/python-azurefunctions-integration.xml
         env:
           FOUNDRY_PROJECT_ENDPOINT: $(FOUNDRY_PROJECT_ENDPOINT)
           FOUNDRY_MODEL: $(FOUNDRY_MODEL)
diff --git a/eng/templates/jobs/setup-integration-infra.yml b/eng/templates/jobs/setup-integration-infra.yml
index 5999088..44d3209 100644
--- a/eng/templates/jobs/setup-integration-infra.yml
+++ b/eng/templates/jobs/setup-integration-infra.yml
@@ -20,7 +20,11 @@ steps:
         docker rm -f azurite
       fi
 
-      docker run -d --name azurite -p 10000:10000 -p 10001:10001 -p 10002:10002 mcr.microsoft.com/azure-storage/azurite
+      # The preview extension bundle's DurableTask.AzureStorage speaks Storage API
+      # 2026-02-06, which Azurite rejects until it ships support for it. Repeat the
+      # image's default arguments because they are replaced, not appended to.
+      docker run -d --name azurite -p 10000:10000 -p 10001:10001 -p 10002:10002 mcr.microsoft.com/azure-storage/azurite \
+        azurite -l /data --blobHost 0.0.0.0 --queueHost 0.0.0.0 --tableHost 0.0.0.0 --skipApiVersionCheck
       timeout 60 bash -c 'until curl --silent --show-error http://localhost:10000/devstoreaccount1 >/dev/null; do sleep 2; done'
     displayName: 'Start Azurite'
 
diff --git a/python/packages/azurefunctions/agent_framework_azurefunctions/__init__.py b/python/packages/azurefunctions/agent_framework_azurefunctions/__init__.py
index 2976a38..ed8c3f3 100644
--- a/python/packages/azurefunctions/agent_framework_azurefunctions/__init__.py
+++ b/python/packages/azurefunctions/agent_framework_azurefunctions/__init__.py
@@ -2,7 +2,7 @@
 
 import importlib.metadata
 
-from ._app import AgentFunctionApp
+from ._app import AgentFunctionApp, runtime_status_name
 from ._hitl_context import WorkflowHitlContext
 
 try:
@@ -14,4 +14,5 @@
     "AgentFunctionApp",
     "WorkflowHitlContext",
     "__version__",
+    "runtime_status_name",
 ]
diff --git a/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py b/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py
index dc90d13..aa322e9 100644
--- a/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py
+++ b/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py
@@ -17,7 +17,7 @@
 from collections.abc import Callable, Mapping
 from dataclasses import asdict, dataclass, is_dataclass
 from datetime import datetime, timezone
-from typing import TYPE_CHECKING, Any, Protocol, TypeVar, cast
+from typing import Any, Protocol, TypeVar, cast
 
 import azure.durable_functions as df
 import azure.functions as func
@@ -38,8 +38,11 @@
     AgentSessionId,
     ApiResponseFields,
     DurableAgentState,
+    DurableAgentTask,
     DurableAIAgent,
+    OrchestrationAgentExecutor,
     RunRequest,
+    create_agent_entity_class,
     deserialize_workflow_output,
     execute_workflow_activity,
     plan_workflow_registration,
@@ -55,10 +58,11 @@
 )
 from agent_framework_durabletask._workflows.registration import collect_hosted_workflows
 from agent_framework_durabletask._workflows.serialization import strip_pickle_markers, strip_subworkflow_markers
+from durabletask.client import OrchestrationStatus
+from durabletask.entities import EntityInstanceId
+from durabletask.task import OrchestrationContext
 
-from ._entities import create_agent_entity
 from ._errors import IncomingRequestError
-from ._orchestration import AgentOrchestrationContextType, AgentTask, AzureFunctionsAgentExecutor
 from ._routes import build_workflow_respond_url, build_workflow_status_url, split_request_url
 from ._workflow import run_workflow_orchestrator
 
@@ -75,7 +79,6 @@
 
 logger = logging.getLogger("agent_framework.azurefunctions")
 
-EntityHandler = Callable[[df.DurableEntityContext], None]
 HandlerT = TypeVar("HandlerT", bound=Callable[..., Any])
 
 
@@ -89,6 +92,33 @@ async def wait_for_completion_or_create_check_status_response(
     ) -> func.HttpResponse: ...
 
 
+# The workflow HTTP endpoints have always emitted PascalCase runtime status names
+# ("Completed", "ContinuedAsNew"). durabletask's OrchestrationStatus renders as
+# SCREAMING_CASE, so map it back here rather than silently changing the wire format
+# for existing callers.
+_RUNTIME_STATUS_WIRE_NAMES: Mapping[OrchestrationStatus, str] = {
+    OrchestrationStatus.RUNNING: "Running",
+    OrchestrationStatus.COMPLETED: "Completed",
+    OrchestrationStatus.FAILED: "Failed",
+    OrchestrationStatus.TERMINATED: "Terminated",
+    OrchestrationStatus.CONTINUED_AS_NEW: "ContinuedAsNew",
+    OrchestrationStatus.PENDING: "Pending",
+    OrchestrationStatus.SUSPENDED: "Suspended",
+}
+
+
+def runtime_status_name(status: OrchestrationStatus | None) -> str | None:
+    """Render a runtime status using the name the HTTP endpoints have always emitted.
+
+    ``durabletask``'s :class:`OrchestrationStatus` renders as SCREAMING_CASE, so apps that
+    expose their own orchestration status endpoints should use this to stay consistent with
+    the endpoints :class:`AgentFunctionApp` registers.
+    """
+    if status is None:
+        return None
+    return _RUNTIME_STATUS_WIRE_NAMES.get(status, status.name)
+
+
 def _json_default(obj: Any) -> Any:
     """JSON fallback encoder for reconstructed workflow outputs.
 
@@ -130,37 +160,10 @@ class AgentMetadata:
     mcp_tool_enabled: bool
 
 
-if TYPE_CHECKING:
-
-    class DFAppBase:
-        def __init__(self, http_auth_level: func.AuthLevel = func.AuthLevel.FUNCTION) -> None: ...
-
-        def function_name(self, name: str) -> Callable[[HandlerT], HandlerT]: ...
-
-        def route(self, route: str, methods: list[str]) -> Callable[[HandlerT], HandlerT]: ...
-
-        def durable_client_input(self, client_name: str) -> Callable[[HandlerT], HandlerT]: ...
-
-        def entity_trigger(self, context_name: str, entity_name: str) -> Callable[[EntityHandler], EntityHandler]: ...
-
-        def orchestration_trigger(self, context_name: str) -> Callable[[HandlerT], HandlerT]: ...
-
-        def activity_trigger(self, input_name: str) -> Callable[[HandlerT], HandlerT]: ...
-
-        def mcp_tool_trigger(
-            self,
-            arg_name: str,
-            tool_name: str,
-            description: str,
-            tool_properties: str,
-            data_type: func.DataType,
-        ) -> Callable[[HandlerT], HandlerT]: ...
-
-else:
-    DFAppBase = df.DFApp  # type: ignore[assignment]
-
-
-class AgentFunctionApp(DFAppBase):
+# azure-functions-durable 2.x ships PEP 561 type information, so ``df.DFApp`` can be
+# subclassed directly. 1.x shipped no types, which is why this used to need a
+# hand-written TYPE_CHECKING stub.
+class AgentFunctionApp(df.DFApp):
     """Main application class for creating durable agent function apps using Durable Entities.
 
     This class uses Durable Entities pattern for agent execution, providing:
@@ -477,10 +480,13 @@ def _setup_workflow_orchestration(self, workflow: Workflow) -> None:
 
         @self.function_name(orchestrator_name)
         @self.orchestration_trigger(context_name="context")
-        def workflow_orchestrator(context: df.DurableOrchestrationContext) -> Any:
-            """Generic orchestrator for running the configured workflow."""
-            input_data = context.get_input()
+        def workflow_orchestrator(context: OrchestrationContext, input_data: Any) -> Any:
+            """Generic orchestrator for running the configured workflow.
 
+            This is a durabletask-native two-argument orchestrator, so ``context`` is a
+            real :class:`durabletask.task.OrchestrationContext` and the client input is
+            delivered as the second argument rather than via ``context.get_input()``.
+            """
             # Pass the deserialized client input straight to the shared engine, which
             # reconstructs the start executor's declared type (see _coerce_initial_input).
             initial_message = input_data
@@ -509,7 +515,7 @@ def _register_workflow_routes(self, workflow: Workflow) -> None:
         @self.route(route=f"workflow/{workflow_name}/run", methods=["POST"])
         @self.durable_client_input(client_name="client")
         async def start_workflow_orchestration(
-            req: func.HttpRequest, client: df.DurableOrchestrationClient
+            req: func.HttpRequest, client: df.DurableFunctionsClient
         ) -> func.HttpResponse:
             """HTTP endpoint to start the workflow."""
             try:
@@ -542,10 +548,10 @@ async def start_workflow_orchestration(
             client_input = strip_subworkflow_markers(client_input)
             client_input = strip_pickle_markers(client_input)
 
-            instance_id = await client.start_new(
+            instance_id = await client.schedule_new_orchestration(
                 orchestrator_name,
+                input=client_input,
                 instance_id=requested_instance_id,
-                client_input=client_input,
             )
 
             if wait_for_response:
@@ -560,7 +566,7 @@ async def start_workflow_orchestration(
                     retry_interval_in_milliseconds=1000,
                 )
                 if completion_response.status_code != 202:
-                    status = await client.get_status(instance_id)
+                    status = await client.get_orchestration_state(instance_id)
                     return self._build_workflow_terminal_response(status, instance_id)
 
             return self._build_workflow_accepted_response(req, workflow_name, instance_id)
@@ -568,38 +574,37 @@ async def start_workflow_orchestration(
         @self.function_name(f"{orchestrator_name}-status")
         @self.route(route=f"workflow/{workflow_name}/status/{{instanceId}}", methods=["GET"])
         @self.durable_client_input(client_name="client")
-        async def get_workflow_status(
-            req: func.HttpRequest, client: df.DurableOrchestrationClient
-        ) -> func.HttpResponse:
+        async def get_workflow_status(req: func.HttpRequest, client: df.DurableFunctionsClient) -> func.HttpResponse:
             """HTTP endpoint to get workflow status."""
             instance_id = req.route_params.get("instanceId")
             if not instance_id:
                 return self._build_error_response("Instance ID is required", status_code=400)
 
-            status = await client.get_status(instance_id)
+            status = await client.get_orchestration_state(instance_id)
 
             # Scope the endpoint to this workflow's orchestrator. The durable client
             # resolves instance IDs across every orchestration in the task hub, so an ID
             # belonging to a different orchestration (or a different workflow) must be
             # treated as "not found" rather than leaking its status / HITL details.
-            if not self._is_owned_orchestration(status, workflow_name):
+            if status is None or not self._is_owned_orchestration(status, workflow_name):
                 return self._build_error_response("Instance not found", status_code=404)
 
             # The workflow's yielded outputs are checkpoint-encoded by the shared
             # activity (typed objects become pickle/type-marker dicts). Reconstruct
             # the originals so the HTTP response carries clean domain JSON, matching
             # what DurableWorkflowClient.await_workflow_output returns in-process.
-            # status.output is the workflow's own (trusted) orchestration result.
-            decoded_output = deserialize_workflow_output(status.output) if status.output is not None else None
+            # The output is the workflow's own (trusted) orchestration result.
+            raw_output = status.get_output()
+            decoded_output = deserialize_workflow_output(raw_output) if raw_output is not None else None
 
             response = {
                 "instanceId": status.instance_id,
-                "runtimeStatus": status.runtime_status.name if status.runtime_status else None,
-                "customStatus": status.custom_status,
+                "runtimeStatus": runtime_status_name(status.runtime_status),
+                "customStatus": status.get_custom_status(),
                 "output": decoded_output,
-                "error": decoded_output if status.runtime_status == df.OrchestrationRuntimeStatus.Failed else None,
-                "createdTime": status.created_time.isoformat() if status.created_time else None,
-                "lastUpdatedTime": status.last_updated_time.isoformat() if status.last_updated_time else None,
+                "error": decoded_output if status.runtime_status == OrchestrationStatus.FAILED else None,
+                "createdTime": status.created_at.isoformat() if status.created_at else None,
+                "lastUpdatedTime": status.last_updated_at.isoformat() if status.last_updated_at else None,
             }
 
             # Add pending HITL requests info if available. Requests originating in a
@@ -607,7 +612,7 @@ async def get_workflow_status(
             # ({executorId}~{ordinal}~{requestId}, nested deeper for deeper levels); the
             # respondUrl always targets this top-level instance, so the caller has a
             # single addressing surface.
-            custom_status = status.custom_status
+            custom_status = status.get_custom_status()
             if isinstance(custom_status, dict):
                 gathered = await self._gather_pending_hitl_requests(client, cast("dict[str, Any]", custom_status))
                 if gathered:
@@ -636,7 +641,7 @@ async def get_workflow_status(
         @self.function_name(f"{orchestrator_name}-respond")
         @self.route(route=f"workflow/{workflow_name}/respond/{{instanceId}}/{{requestId}}", methods=["POST"])
         @self.durable_client_input(client_name="client")
-        async def send_hitl_response(req: func.HttpRequest, client: df.DurableOrchestrationClient) -> func.HttpResponse:
+        async def send_hitl_response(req: func.HttpRequest, client: df.DurableFunctionsClient) -> func.HttpResponse:
             """HTTP endpoint to send a response to a pending HITL request.
 
             The requestId in the URL corresponds to the request_id from the RequestInfoEvent.
@@ -651,7 +656,7 @@ async def send_hitl_response(req: func.HttpRequest, client: df.DurableOrchestrat
             # Scope the endpoint to this workflow's orchestrator before raising an
             # external event, so a leaked instance ID cannot be used to inject events into
             # a different orchestration (or a different workflow) in the task hub.
-            status = await client.get_status(instance_id)
+            status = await client.get_orchestration_state(instance_id)
             if not self._is_owned_orchestration(status, workflow_name):
                 return self._build_error_response("Instance not found", status_code=404)
 
@@ -674,10 +679,10 @@ async def send_hitl_response(req: func.HttpRequest, client: df.DurableOrchestrat
 
             # Send the response as an external event. The (bare) request_id is used as the
             # event name for correlation on the owning orchestration instance.
-            await client.raise_event(
-                instance_id=target_instance_id,
-                event_name=bare_request_id,
-                event_data=response_data,
+            await client.raise_orchestration_event(
+                target_instance_id,
+                bare_request_id,
+                data=response_data,
             )
 
             return func.HttpResponse(
@@ -697,7 +702,7 @@ async def send_hitl_response(req: func.HttpRequest, client: df.DurableOrchestrat
 
     async def _gather_pending_hitl_requests(
         self,
-        client: df.DurableOrchestrationClient,
+        client: df.DurableFunctionsClient,
         custom_status: dict[str, Any],
         *,
         prefix: str = "",
@@ -734,8 +739,8 @@ async def _gather_pending_hitl_requests(
                 for ordinal, child_instance_id in enumerate(children):
                     if not isinstance(child_instance_id, str):
                         continue
-                    child_status = await client.get_status(child_instance_id)
-                    child_custom = child_status.custom_status if child_status else None
+                    child_status = await client.get_orchestration_state(child_instance_id)
+                    child_custom = child_status.get_custom_status() if child_status else None
                     if isinstance(child_custom, dict):
                         gathered.extend(
                             await self._gather_pending_hitl_requests(
@@ -749,7 +754,7 @@ async def _gather_pending_hitl_requests(
 
     async def _resolve_hitl_target(
         self,
-        client: df.DurableOrchestrationClient,
+        client: df.DurableFunctionsClient,
         instance_id: str,
         request_id: str,
     ) -> tuple[str, str] | None:
@@ -767,8 +772,8 @@ async def _resolve_hitl_target(
             return instance_id, request_id
 
         executor_id, ordinal, remainder = hop
-        status = await client.get_status(instance_id)
-        custom_status = status.custom_status if status else None
+        status = await client.get_orchestration_state(instance_id)
+        custom_status = status.get_custom_status() if status else None
         if not isinstance(custom_status, dict):
             return None
         subworkflows = cast("dict[str, Any]", custom_status).get("subworkflows")
@@ -899,14 +904,16 @@ def add_agent(
 
     def get_agent(
         self,
-        context: AgentOrchestrationContextType,
+        context: OrchestrationContext,
         agent_name: str,
         workflow_name: str | None = None,
-    ) -> DurableAIAgent[AgentTask]:
+    ) -> DurableAIAgent[DurableAgentTask]:
         """Return a DurableAIAgent proxy for a registered agent.
 
         Args:
-            context: Durable Functions orchestration context invoking the agent.
+            context: Durable Functions orchestration context invoking the agent. Since
+                azure-functions-durable 2.x this is a durabletask
+                :class:`~durabletask.task.OrchestrationContext`.
             agent_name: Name of the agent registered on this app. For an agent that
                 belongs to a hosted workflow, pass ``workflow_name`` to resolve it
                 under its workflow-scoped identity; for an agent registered standalone
@@ -915,7 +922,7 @@ def get_agent(
                 resolved under the scoped id ``{workflow_name}-{agent_name}``.
 
         Returns:
-            DurableAIAgent[AgentTask] wrapper bound to the orchestration context.
+            DurableAIAgent[DurableAgentTask] wrapper bound to the orchestration context.
 
         Raises:
             ValueError: If the requested agent has not been registered.
@@ -927,7 +934,7 @@ def get_agent(
         if normalized_name not in self._agent_metadata:
             raise ValueError(f"Agent '{normalized_name}' is not registered with this app.")
 
-        executor = AzureFunctionsAgentExecutor(context)
+        executor = OrchestrationAgentExecutor(context)
         return DurableAIAgent(executor, normalized_name)
 
     def _setup_agent_functions(
@@ -979,7 +986,7 @@ def _setup_http_run_route(self, agent_name: str) -> None:
         @function_name_decorator
         @route_decorator
         @durable_client_decorator
-        async def http_start(req: func.HttpRequest, client: df.DurableOrchestrationClient) -> func.HttpResponse:
+        async def http_start(req: func.HttpRequest, client: df.DurableFunctionsClient) -> func.HttpResponse:
             """HTTP trigger that calls a durable entity to execute the agent and returns the result.
 
             Expected request body (RunRequest format):
@@ -1021,8 +1028,8 @@ async def http_start(req: func.HttpRequest, client: df.DurableOrchestrationClien
                     f"and correlation ID: {correlation_id}"
                 )
 
-                entity_instance_id = df.EntityId(
-                    name=agent_session_id.entity_name,
+                entity_instance_id = EntityInstanceId(
+                    entity=agent_session_id.entity_name,
                     key=agent_session_id.key,
                 )
                 run_request = self._build_request_data(
@@ -1109,21 +1116,11 @@ def _setup_agent_entity(
         # Use the prefixed entity name for both registration and function naming
         entity_name_with_prefix = AgentSessionId.to_entity_name(agent_name)
 
-        def entity_function(context: df.DurableEntityContext) -> None:
-            """Durable entity that manages agent execution and conversation state.
-
-            Operations:
-            - run: Execute the agent with a message
-            - run_agent: (Deprecated) Execute the agent with a message
-            - reset: Clear conversation history
-            """
-            entity_handler = create_agent_entity(agent, callback)
-            entity_handler(context)
-
-        # Set function name for Azure Functions (used in function.json generation)
-        # Use the prefixed entity name as the function name too.
-        entity_function.__name__ = entity_name_with_prefix
-        self.entity_trigger(context_name="context", entity_name=entity_name_with_prefix)(entity_function)
+        # azure-functions-durable 2.x accepts a class-based ``DurableEntity`` here, so
+        # the Functions host registers the same entity implementation the standalone
+        # DurableTask worker uses instead of a bespoke function-style entity.
+        entity_class = create_agent_entity_class(agent, callback, entity_id=agent_name)
+        self.entity_trigger(context_name="context", entity_name=entity_name_with_prefix)(entity_class)
 
     def _setup_mcp_tool_trigger(self, agent_name: str, agent_description: str | None) -> None:
         """Register an MCP tool trigger for an agent using Azure Functions native MCP support.
@@ -1156,7 +1153,7 @@ def _setup_mcp_tool_trigger(self, agent_name: str, agent_description: str | None
         ])
 
         function_name_decorator = self.function_name(mcp_function_name)
-        mcp_tool_decorator = self.mcp_tool_trigger(
+        mcp_tool_decorator = self.mcp_tool_trigger(  # pyright: ignore[reportUnknownMemberType]  # SDK leaves **kwargs untyped
             arg_name="context",
             tool_name=agent_name,
             description=agent_description or f"Interact with {agent_name} agent",
@@ -1168,7 +1165,7 @@ def _setup_mcp_tool_trigger(self, agent_name: str, agent_description: str | None
         @function_name_decorator
         @mcp_tool_decorator
         @durable_client_decorator
-        async def mcp_tool_handler(context: str, client: df.DurableOrchestrationClient) -> str:
+        async def mcp_tool_handler(context: str, client: df.DurableFunctionsClient) -> str:
             """Handle MCP tool invocation for the agent.
 
             Args:
@@ -1185,7 +1182,7 @@ async def mcp_tool_handler(context: str, client: df.DurableOrchestrationClient)
         logger.debug("[AgentFunctionApp] Registered MCP tool trigger for agent: %s", agent_name)
 
     async def _handle_mcp_tool_invocation(
-        self, agent_name: str, context: str, client: df.DurableOrchestrationClient
+        self, agent_name: str, context: str, client: df.DurableFunctionsClient
     ) -> str:
         """Handle an MCP tool invocation.
 
@@ -1247,8 +1244,8 @@ async def _handle_mcp_tool_invocation(
             session_id = AgentSessionId.with_random_key(agent_name)
 
         # Build entity instance ID
-        entity_instance_id = df.EntityId(
-            name=session_id.entity_name,
+        entity_instance_id = EntityInstanceId(
+            entity=session_id.entity_name,
             key=session_id.key,
         )
 
@@ -1332,25 +1329,24 @@ def _build_function_name(agent_name: str, prefix: str) -> str:
 
     async def _read_cached_state(
         self,
-        client: df.DurableOrchestrationClient,
-        entity_instance_id: df.EntityId,
+        client: df.DurableFunctionsClient,
+        entity_instance_id: EntityInstanceId,
     ) -> DurableAgentState | None:
-        state_response = await client.read_entity_state(entity_instance_id)
-        if not state_response or not state_response.entity_exists:
+        entity = await client.get_entity(entity_instance_id)
+        if entity is None:
             return None
 
-        state_payload = state_response.entity_state
-        if not isinstance(state_payload, dict):
+        # get_state() returns the raw serialized JSON payload, not a mapping.
+        state_json = entity.get_state()
+        if not state_json:
             return None
 
-        typed_state_payload = cast(dict[str, Any], state_payload)
-
-        return DurableAgentState.from_dict(typed_state_payload)
+        return DurableAgentState.from_json(state_json)
 
     async def _get_response_from_entity(
         self,
-        client: df.DurableOrchestrationClient,
-        entity_instance_id: df.EntityId,
+        client: df.DurableFunctionsClient,
+        entity_instance_id: EntityInstanceId,
         correlation_id: str,
         message: str,
         session_id: str,
@@ -1390,8 +1386,8 @@ async def _get_response_from_entity(
 
     async def _poll_entity_for_response(
         self,
-        client: df.DurableOrchestrationClient,
-        entity_instance_id: df.EntityId,
+        client: df.DurableFunctionsClient,
+        entity_instance_id: EntityInstanceId,
         correlation_id: str,
         message: str,
         session_id: str,
@@ -1526,21 +1522,22 @@ def _build_workflow_terminal_response(self, status: Any, instance_id: str) -> fu
 
         runtime_status = status.runtime_status
         if runtime_status not in {
-            df.OrchestrationRuntimeStatus.Completed,
-            df.OrchestrationRuntimeStatus.Failed,
+            OrchestrationStatus.COMPLETED,
+            OrchestrationStatus.FAILED,
         }:
             return self._build_error_response(
-                f"Workflow orchestration '{instance_id}' ended with unexpected status '{runtime_status.name}'.",
+                f"Workflow orchestration '{instance_id}' ended with unexpected status "
+                f"'{runtime_status_name(runtime_status)}'.",
                 status_code=500,
             )
 
-        decoded_output = deserialize_workflow_output(status.output) if status.output is not None else None
+        decoded_output = deserialize_workflow_output(status.get_output()) if status.get_output() is not None else None
         response: dict[str, Any] = {
             "instanceId": status.instance_id or instance_id,
-            "runtimeStatus": runtime_status.name,
-            "output": decoded_output if runtime_status == df.OrchestrationRuntimeStatus.Completed else None,
+            "runtimeStatus": runtime_status_name(runtime_status),
+            "output": decoded_output if runtime_status == OrchestrationStatus.COMPLETED else None,
         }
-        if runtime_status == df.OrchestrationRuntimeStatus.Failed:
+        if runtime_status == OrchestrationStatus.FAILED:
             response["error"] = decoded_output
 
         return func.HttpResponse(
diff --git a/python/packages/azurefunctions/agent_framework_azurefunctions/_context.py b/python/packages/azurefunctions/agent_framework_azurefunctions/_context.py
index 4912fe4..5a00a34 100644
--- a/python/packages/azurefunctions/agent_framework_azurefunctions/_context.py
+++ b/python/packages/azurefunctions/agent_framework_azurefunctions/_context.py
@@ -123,6 +123,18 @@ async def apply_checkpoint(self, checkpoint: WorkflowCheckpoint) -> None:
         """Checkpointing not supported in activity context."""
         raise NotImplementedError("Checkpointing is not supported in Azure Functions activity context")
 
+    async def build_checkpoint(
+        self,
+        workflow_name: str,
+        graph_signature_hash: str,
+        state: State,
+        previous_checkpoint_id: str | None,
+        iteration_count: int,
+        metadata: dict[str, Any] | None = None,
+    ) -> WorkflowCheckpoint:
+        """Checkpointing not supported in activity context."""
+        raise NotImplementedError("Checkpointing is not supported in Azure Functions activity context")
+
     # endregion Checkpointing
 
     # region Workflow Configuration
diff --git a/python/packages/azurefunctions/agent_framework_azurefunctions/_entities.py b/python/packages/azurefunctions/agent_framework_azurefunctions/_entities.py
deleted file mode 100644
index 83ad50a..0000000
--- a/python/packages/azurefunctions/agent_framework_azurefunctions/_entities.py
+++ /dev/null
@@ -1,118 +0,0 @@
-# Copyright (c) Microsoft. All rights reserved.
-
-"""Durable Entity for Agent Execution.
-
-This module defines a durable entity that manages agent state and execution.
-Using entities instead of orchestrations provides better state management and
-allows for long-running agent conversations.
-"""
-
-from __future__ import annotations
-
-import logging
-from collections.abc import Callable
-from typing import Any, cast
-
-import azure.durable_functions as df
-from agent_framework import SupportsAgentRun
-from agent_framework_durabletask import (
-    AgentEntity,
-    AgentEntityStateProviderMixin,
-    AgentResponseCallbackProtocol,
-    run_agent_coroutine,
-)
-
-logger = logging.getLogger("agent_framework.azurefunctions")
-
-
-class AzureFunctionEntityStateProvider(AgentEntityStateProviderMixin):
-    """Azure Functions Durable Entity state provider for AgentEntity.
-
-    This class utilizes the Durable Entity context from `azure-functions-durable` package
-    to get and set the state of the agent entity.
-    """
-
-    def __init__(self, context: df.DurableEntityContext) -> None:
-        self._context = context
-
-    def _get_state_dict(self) -> dict[str, Any]:
-        raw_state = self._context.get_state(lambda: {})
-        if not isinstance(raw_state, dict):
-            return {}
-        return cast(dict[str, Any], raw_state)
-
-    def _set_state_dict(self, state: dict[str, Any]) -> None:
-        self._context.set_state(state)
-
-    def _get_session_id_from_entity(self) -> str:
-        return str(self._context.entity_key)
-
-
-def create_agent_entity(
-    agent: SupportsAgentRun,
-    callback: AgentResponseCallbackProtocol | None = None,
-) -> Callable[[df.DurableEntityContext], None]:
-    """Factory function to create an agent entity class.
-
-    Args:
-        agent: The Microsoft Agent Framework agent instance (must implement SupportsAgentRun)
-        callback: Optional callback invoked during streaming and final responses
-
-    Returns:
-        Entity function configured with the agent
-    """
-
-    async def _entity_coroutine(context: df.DurableEntityContext) -> None:
-        """Async handler that executes the entity operations."""
-        try:
-            logger.debug("[entity_function] Entity triggered")
-            logger.debug("[entity_function] Operation: %s", context.operation_name)
-
-            state_provider = AzureFunctionEntityStateProvider(context)
-            entity = AgentEntity(agent, callback, state_provider=state_provider)
-
-            operation = context.operation_name
-
-            if operation == "run" or operation == "run_agent":
-                input_data: Any = context.get_input()
-
-                request: str | dict[str, Any]
-                if isinstance(input_data, dict) and "message" in input_data:
-                    request = cast(dict[str, Any], input_data)
-                else:
-                    # Fall back to treating input as message string
-                    request = "" if input_data is None else str(cast(object, input_data))
-
-                result = await entity.run(request)
-                context.set_result(result.to_dict())
-
-            elif operation == "reset":
-                entity.reset()
-                context.set_result({"status": "reset"})
-
-            else:
-                logger.error("[entity_function] Unknown operation: %s", operation)
-                context.set_result({"error": f"Unknown operation: {operation}"})
-
-            logger.info("[entity_function] Operation %s completed successfully", operation)
-
-        except Exception as exc:
-            logger.exception("[entity_function] Error executing entity operation %s", exc)
-            context.set_result({"error": str(exc), "status": "error"})
-
-    def entity_function(context: df.DurableEntityContext) -> None:
-        """Synchronous wrapper invoked by the Durable Functions runtime.
-
-        All agent coroutines run on a single process-wide persistent event loop
-        (see ``run_agent_coroutine``). This keeps async resources created by
-        shared agent clients/credentials bound to a live loop across every
-        invocation, preventing cross-loop hangs when the host dispatches
-        successive entity operations onto different worker threads.
-        """
-        try:
-            run_agent_coroutine(_entity_coroutine(context))
-        except Exception as exc:  # pragma: no cover - defensive logging
-            logger.error("[entity_function] Unexpected error executing entity: %s", exc, exc_info=True)
-            context.set_result({"error": str(exc), "status": "error"})
-
-    return entity_function
diff --git a/python/packages/azurefunctions/agent_framework_azurefunctions/_orchestration.py b/python/packages/azurefunctions/agent_framework_azurefunctions/_orchestration.py
deleted file mode 100644
index cbbd134..0000000
--- a/python/packages/azurefunctions/agent_framework_azurefunctions/_orchestration.py
+++ /dev/null
@@ -1,219 +0,0 @@
-# Copyright (c) Microsoft. All rights reserved.
-
-"""Orchestration Support for Durable Agents.
-
-This module provides support for using agents inside Durable Function orchestrations.
-"""
-
-import logging
-from collections.abc import Callable
-from typing import TYPE_CHECKING, Any, TypeAlias
-
-import azure.durable_functions as df
-from agent_framework import AgentSession
-from agent_framework_durabletask import (
-    DurableAgentExecutor,
-    RunRequest,
-    ensure_response_format,
-    load_agent_response,
-)
-from azure.durable_functions.models import TaskBase
-from azure.durable_functions.models.actions.NoOpAction import NoOpAction
-from azure.durable_functions.models.Task import CompoundTask, TaskState
-from pydantic import BaseModel
-
-logger = logging.getLogger("agent_framework.azurefunctions")
-
-CompoundActionConstructor: TypeAlias = Callable[[list[Any]], Any] | None
-
-if TYPE_CHECKING:
-    from azure.durable_functions import DurableOrchestrationContext
-
-    class _TypedCompoundTask(CompoundTask):
-        _first_error: Any
-
-        def __init__(
-            self,
-            tasks: list[TaskBase],
-            compound_action_constructor: CompoundActionConstructor = None,
-        ) -> None: ...
-
-    AgentOrchestrationContextType: TypeAlias = DurableOrchestrationContext
-else:
-    AgentOrchestrationContextType = Any
-    _TypedCompoundTask = CompoundTask
-
-
-class PreCompletedTask(TaskBase):
-    """A simple task that is already completed with a result.
-
-    Used for fire-and-forget mode where we want to return immediately
-    with an acceptance response without waiting for entity processing.
-    """
-
-    def __init__(self, result: Any):
-        """Initialize with a completed result.
-
-        Args:
-            result: The result value for this completed task
-        """
-        # Initialize with a NoOp action since we don't need actual orchestration actions
-        super().__init__(-1, NoOpAction())
-        # Immediately mark as completed with the result
-        self.set_value(is_error=False, value=result)
-
-
-class AgentTask(_TypedCompoundTask):
-    """A custom Task that wraps entity calls and provides typed AgentResponse results.
-
-    This task wraps the underlying entity call task and intercepts its completion
-    to convert the raw result into a typed AgentResponse object.
-    """
-
-    def __init__(
-        self,
-        entity_task: TaskBase,
-        response_format: type[BaseModel] | None,
-        correlation_id: str,
-    ):
-        """Initialize the AgentTask.
-
-        Args:
-            entity_task: The underlying entity call task
-            response_format: Optional Pydantic model for response parsing
-            correlation_id: Correlation ID for logging
-        """
-        # Set instance variables BEFORE calling super().__init__
-        # because super().__init__ may trigger try_set_value for pre-completed tasks
-        self._response_format = response_format
-        self._correlation_id = correlation_id
-
-        super().__init__([entity_task])
-
-        # Override action_repr to expose the inner task's action directly
-        # This ensures compatibility with ReplaySchema V3 which expects Action objects.
-        self.action_repr = entity_task.action_repr
-
-        # Also copy the task ID to match the entity task's identity
-        self.id = entity_task.id
-
-    def try_set_value(self, child: TaskBase) -> None:
-        """Transition the AgentTask to a terminal state and set its value to `AgentResponse`.
-
-        Parameters
-        ----------
-        child : TaskBase
-            The entity call task that just completed
-        """
-        if child.state is TaskState.SUCCEEDED:
-            # Delegate to parent class for standard completion logic
-            if len(self.pending_tasks) == 0:
-                # Transform the raw result before setting it
-                raw_result = child.result
-                logger.debug(
-                    "[AgentTask] Converting raw result for correlation_id %s",
-                    self._correlation_id,
-                )
-
-                try:
-                    response = load_agent_response(raw_result)
-
-                    if self._response_format is not None:
-                        ensure_response_format(
-                            self._response_format,
-                            self._correlation_id,
-                            response,
-                        )
-
-                    # Set the typed AgentResponse as this task's result
-                    self.set_value(is_error=False, value=response)
-                except Exception as e:
-                    logger.exception(
-                        "[AgentTask] Failed to convert result for correlation_id: %s",
-                        self._correlation_id,
-                    )
-                    self.set_value(is_error=True, value=e)
-        else:
-            # If error not handled by the parent, set it explicitly.
-            if self._first_error is None:
-                self._first_error = child.result
-                self.set_value(is_error=True, value=self._first_error)
-
-
-class AzureFunctionsAgentExecutor(DurableAgentExecutor[AgentTask]):
-    """Executor that executes durable agents inside Azure Functions orchestrations."""
-
-    def __init__(self, context: AgentOrchestrationContextType):
-        self.context = context
-
-    def generate_unique_id(self) -> str:
-        return str(self.context.new_uuid())
-
-    def get_run_request(
-        self,
-        message: str,
-        *,
-        options: dict[str, Any] | None = None,
-    ) -> RunRequest:
-        """Get the current run request from the orchestration context.
-
-        Args:
-            message: The message to send to the agent
-            options: Optional options dictionary. Supported keys include
-                ``response_format``, ``enable_tool_calls``, and ``wait_for_response``.
-                Additional keys are forwarded to the agent execution.
-
-        Returns:
-            RunRequest: The current run request
-        """
-        # Create a copy to avoid modifying the caller's dict
-
-        request = super().get_run_request(message, options=options)
-        request.orchestration_id = self.context.instance_id
-        return request
-
-    def run_durable_agent(
-        self,
-        agent_name: str,
-        run_request: RunRequest,
-        session: AgentSession | None = None,
-    ) -> AgentTask:
-
-        # Resolve session
-        session_id = self._create_session_id(agent_name, session)
-
-        entity_id = df.EntityId(
-            name=session_id.entity_name,
-            key=session_id.key,
-        )
-
-        logger.debug(
-            "[AzureFunctionsAgentProvider] correlation_id: %s entity_id: %s session_id: %s",
-            run_request.correlation_id,
-            entity_id,
-            session_id,
-        )
-
-        # Branch based on wait_for_response
-        if not run_request.wait_for_response:
-            # Fire-and-forget mode: signal entity and return pre-completed task
-            logger.debug(
-                "[AzureFunctionsAgentExecutor] Fire-and-forget mode: signaling entity (correlation: %s)",
-                run_request.correlation_id,
-            )
-            self.context.signal_entity(entity_id, "run", run_request.to_dict())
-
-            # Create acceptance response using base class helper
-            acceptance_response = self._create_acceptance_response(run_request.correlation_id)
-
-            # Create a pre-completed task with the acceptance response
-            entity_task = PreCompletedTask(acceptance_response)
-        else:
-            # Blocking mode: call entity and wait for response
-            entity_task = self.context.call_entity(entity_id, "run", run_request.to_dict())
-
-        return AgentTask(
-            entity_task=entity_task,
-            response_format=run_request.response_format,
-            correlation_id=run_request.correlation_id,
-        )
diff --git a/python/packages/azurefunctions/agent_framework_azurefunctions/_workflow.py b/python/packages/azurefunctions/agent_framework_azurefunctions/_workflow.py
index e15ae94..97cfa60 100644
--- a/python/packages/azurefunctions/agent_framework_azurefunctions/_workflow.py
+++ b/python/packages/azurefunctions/agent_framework_azurefunctions/_workflow.py
@@ -6,8 +6,13 @@
 The actual orchestration logic lives in the shared module
 ``agent_framework_durabletask._workflows.orchestrator`` and is host-agnostic.
 This module re-exports the public API and provides the AF-specific
-``run_workflow_orchestrator`` wrapper that creates an
-:class:`AzureFunctionsWorkflowContext` before delegating.
+``run_workflow_orchestrator`` wrapper.
+
+Since ``azure-functions-durable`` 2.x, a durabletask-native (two-argument)
+orchestrator receives a real :class:`durabletask.task.OrchestrationContext`, so
+the Azure Functions host reuses the shared
+:class:`~agent_framework_durabletask.DurableTaskWorkflowContext` adapter instead
+of maintaining its own.
 """
 
 from __future__ import annotations
@@ -17,6 +22,7 @@
 from typing import Any
 
 from agent_framework import Workflow
+from agent_framework_durabletask import DurableTaskWorkflowContext
 from agent_framework_durabletask._workflows.orchestrator import (
     SOURCE_HITL_RESPONSE,
     SOURCE_ORCHESTRATOR,
@@ -33,9 +39,7 @@
 from agent_framework_durabletask._workflows.orchestrator import (
     run_workflow_orchestrator as _run_workflow_orchestrator_shared,
 )
-from azure.durable_functions import DurableOrchestrationContext
-
-from ._workflow_af_context import AzureFunctionsWorkflowContext
+from durabletask.task import OrchestrationContext
 
 logger = logging.getLogger(__name__)
 
@@ -57,18 +61,20 @@
 
 
 def run_workflow_orchestrator(
-    context: DurableOrchestrationContext,
+    context: OrchestrationContext,
     workflow: Workflow,
     initial_message: Any,
     shared_state: dict[str, Any] | None = None,
 ) -> Generator[Any, Any, list[Any] | dict[str, Any]]:
     """Azure Functions wrapper around the shared workflow orchestrator.
 
-    Creates an :class:`AzureFunctionsWorkflowContext` and delegates to the
-    host-agnostic :func:`run_workflow_orchestrator` in the durabletask package.
+    Wraps the durabletask orchestration context in the shared
+    :class:`~agent_framework_durabletask.DurableTaskWorkflowContext` and delegates
+    to the host-agnostic :func:`run_workflow_orchestrator` in the durabletask
+    package.
 
     Args:
-        context: The Azure Functions ``DurableOrchestrationContext``.
+        context: The durabletask ``OrchestrationContext`` supplied by the Functions host.
         workflow: The MAF Workflow instance to execute.
         initial_message: Initial message to send to the start executor.
         shared_state: Optional dict for cross-executor state sharing.
@@ -79,5 +85,10 @@ def run_workflow_orchestrator(
         "events": [...]}`` so the parent can bubble nested progress (see the shared
         ``run_workflow_orchestrator`` in the durabletask package).
     """
-    af_ctx = AzureFunctionsWorkflowContext(context)
+    # Azure Functions caps the Durable Functions custom status at 16 KB in the
+    # WebJobs extension, and it exposes no workflow event-streaming endpoint.
+    # Publishing the accumulating event log would overflow that cap and fail the
+    # orchestrator, so events are omitted here; state, pending HITL requests, and
+    # the final output remain available via the workflow status endpoint.
+    af_ctx = DurableTaskWorkflowContext(context, supports_event_streaming=False)
     return _run_workflow_orchestrator_shared(af_ctx, workflow, initial_message, shared_state)
diff --git a/python/packages/azurefunctions/agent_framework_azurefunctions/_workflow_af_context.py b/python/packages/azurefunctions/agent_framework_azurefunctions/_workflow_af_context.py
deleted file mode 100644
index eaf99a5..0000000
--- a/python/packages/azurefunctions/agent_framework_azurefunctions/_workflow_af_context.py
+++ /dev/null
@@ -1,105 +0,0 @@
-# Copyright (c) Microsoft. All rights reserved.
-
-"""Azure Functions adapter for WorkflowOrchestrationContext.
-
-Wraps ``azure.durable_functions.DurableOrchestrationContext`` to satisfy the
-:class:`~agent_framework_durabletask.WorkflowOrchestrationContext` protocol.
-"""
-
-from __future__ import annotations
-
-import logging
-from datetime import datetime
-from typing import Any
-
-from agent_framework_durabletask import AgentSessionId, DurableAgentSession, DurableAIAgent
-from azure.durable_functions import DurableOrchestrationContext
-
-from ._orchestration import AzureFunctionsAgentExecutor
-
-logger = logging.getLogger(__name__)
-
-
-class AzureFunctionsWorkflowContext:
-    """Adapter that maps ``DurableOrchestrationContext`` to ``WorkflowOrchestrationContext``."""
-
-    def __init__(self, context: DurableOrchestrationContext) -> None:
-        self._context = context
-
-    # -- Properties -----------------------------------------------------------
-
-    @property
-    def instance_id(self) -> str:
-        # Typed local (not cast): mypy sees the untyped context as Any, while
-        # pyright sees a concrete str - the annotation satisfies both.
-        instance_id: str = self._context.instance_id
-        return instance_id
-
-    @property
-    def is_replaying(self) -> bool:
-        is_replaying: bool = self._context.is_replaying
-        return is_replaying
-
-    @property
-    def supports_event_streaming(self) -> bool:
-        # The Azure Functions host has no workflow event-streaming endpoint, and its
-        # Durable Functions custom status is capped at 16 KB by the WebJobs extension.
-        # Publishing the accumulating event log would overflow that cap and fail the
-        # orchestrator, so events are omitted; state, pending HITL requests, and the
-        # final output remain available via the workflow status endpoint.
-        return False
-
-    @property
-    def current_utc_datetime(self) -> datetime:
-        current: datetime = self._context.current_utc_datetime
-        return current
-
-    # -- Agent / Activity dispatch --------------------------------------------
-
-    def prepare_agent_task(self, executor_id: str, message: str, orchestration_instance_id: str) -> Any:
-        session_id = AgentSessionId(name=executor_id, key=orchestration_instance_id)
-        session = DurableAgentSession(durable_session_id=session_id)
-        az_executor = AzureFunctionsAgentExecutor(self._context)
-        agent = DurableAIAgent(az_executor, executor_id)
-        return agent.run(message, session=session)
-
-    def prepare_activity_task(self, activity_name: str, input_json: str) -> Any:
-        orchestration_context: Any = self._context
-        return orchestration_context.call_activity(activity_name, input_json)
-
-    def call_sub_orchestrator(self, name: str, input: Any, instance_id: str | None = None) -> Any:
-        orchestration_context: Any = self._context
-        return orchestration_context.call_sub_orchestrator(name, input_=input, instance_id=instance_id)
-
-    # -- Composite tasks ------------------------------------------------------
-
-    def task_all(self, tasks: list[Any]) -> Any:
-        return self._context.task_all(tasks)
-
-    def task_any(self, tasks: list[Any]) -> Any:
-        return self._context.task_any(tasks)
-
-    # -- External events / timers ---------------------------------------------
-
-    def wait_for_external_event(self, name: str) -> Any:
-        return self._context.wait_for_external_event(name)
-
-    def create_timer(self, fire_at: datetime) -> Any:
-        return self._context.create_timer(fire_at)
-
-    # -- Status / utility -----------------------------------------------------
-
-    def set_custom_status(self, status: Any) -> None:
-        self._context.set_custom_status(status)
-
-    def new_uuid(self) -> str:
-        new_uuid: str = self._context.new_uuid()
-        return new_uuid
-
-    def cancel_task(self, task: Any) -> None:
-        cancel_fn = getattr(task, "cancel", None)
-        if callable(cancel_fn):
-            cancel_fn()
-
-    def get_task_result(self, task: Any) -> Any:
-        return getattr(task, "result", None)
diff --git a/python/packages/azurefunctions/pyproject.toml b/python/packages/azurefunctions/pyproject.toml
index cd6c343..4f8e5d9 100644
--- a/python/packages/azurefunctions/pyproject.toml
+++ b/python/packages/azurefunctions/pyproject.toml
@@ -3,7 +3,10 @@ name = "agent-framework-azurefunctions"
 description = "Azure Functions integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
-requires-python = ">=3.10"
+# azure-functions-durable 2.x requires 3.13+: on older Functions Python workers the
+# worker's dependencies are not isolated from the app's, which collides with the
+# durable runtime's grpc at load time. 3.13 enables worker dependency isolation.
+requires-python = ">=3.13"
 version = "1.0.0b260709"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
@@ -15,27 +18,63 @@ classifiers = [
   "Development Status :: 4 - Beta",
   "Intended Audience :: Developers",
   "Programming Language :: Python :: 3",
-  "Programming Language :: Python :: 3.10",
-  "Programming Language :: Python :: 3.11",
-  "Programming Language :: Python :: 3.12",
   "Programming Language :: Python :: 3.13",
   "Typing :: Typed",
 ]
 dependencies = [
     "agent-framework-core>=1.11.0,<2",
     "agent-framework-durabletask>=1.0.0b260709,<2",
-    "azure-functions>=1.24.0,<2",
-    "azure-functions-durable>=1.3.1,<2",
+    "azure-functions>=2.3.0b2,<3",
+    "azure-functions-durable>=2.0.0b1,<3",
+]
+
+[dependency-groups]
+# This package is a standalone uv project (see the note in ../../pyproject.toml),
+# so it cannot inherit the workspace root's groups. Keep the pinned versions here
+# in lockstep with ../../pyproject.toml -- that file is the source of truth.
+dev = [
+    "uv==0.11.28",
+    "flit==3.12.0",
+    "ruff==0.15.20",
+    "pytest==9.1.1",
+    "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==2.2.0",
+    "pyright==1.1.411",
+    "pyrefly==1.1.1",
+    "ty==0.0.55",
+    "zuban==0.8.2",
+    "opentelemetry-sdk",
+    "poethepoet==0.48.0",
+    "rich>=13.7.1,<16.0.0",
+    "tomli==2.4.1",
+    "prek==0.4.8",
+]
+test = [
+    "azure-monitor-opentelemetry",
+    "mcp[ws]",
+    "redis",
+    "agent-framework-openai>=1.10.1,<2",
+    "agent-framework-foundry>=1.10.1,<2",
 ]
 
 [tool.uv]
 prerelease = "if-necessary-or-explicit"
+# Mirrors the security floors/overrides in ../../pyproject.toml.
+constraint-dependencies = ["litellm>=1.83.7", "fastapi-sso>=0.19.0"]
+override-dependencies = ["mcp[ws]>=1.27.0", "uvicorn[standard]>=0.34.0", "python-multipart>=0.0.31"]
 environments = [
     "sys_platform == 'darwin'",
     "sys_platform == 'linux'",
     "sys_platform == 'win32'"
 ]
 
+[tool.uv.sources]
+agent-framework-durabletask = { path = "../durabletask", editable = true }
+
 [tool.uv-dynamic-versioning]
 fallback-version = "0.0.0"
 
diff --git a/python/packages/azurefunctions/tests/integration_tests/README.md b/python/packages/azurefunctions/tests/integration_tests/README.md
index 4c1ab2e..12094fb 100644
--- a/python/packages/azurefunctions/tests/integration_tests/README.md
+++ b/python/packages/azurefunctions/tests/integration_tests/README.md
@@ -30,9 +30,14 @@ environment. The workflow uses Azure Login with OpenID Connect so
 
 **Azurite (for orchestration tests):**
 ```bash
-docker run -d -p 10000:10000 -p 10001:10001 -p 10002:10002 mcr.microsoft.com/azure-storage/azurite
+docker run -d -p 10000:10000 -p 10001:10001 -p 10002:10002 mcr.microsoft.com/azure-storage/azurite \
+  azurite -l /data --blobHost 0.0.0.0 --queueHost 0.0.0.0 --tableHost 0.0.0.0 --skipApiVersionCheck
 ```
 
+`--skipApiVersionCheck` is required because the preview extension bundle's durable
+extension uses a newer Azure Storage API version than Azurite currently recognises. The
+image's default arguments have to be repeated because they are replaced, not appended to.
+
 **Durable Task Scheduler:**
 ```bash
 docker run -d -p 8080:8080 -p 8082:8082 -e DTS_USE_DYNAMIC_TASK_HUBS=true mcr.microsoft.com/dts/dts-emulator:latest
diff --git a/python/packages/azurefunctions/tests/integration_tests/conftest.py b/python/packages/azurefunctions/tests/integration_tests/conftest.py
index c2e6bb7..1ca0103 100644
--- a/python/packages/azurefunctions/tests/integration_tests/conftest.py
+++ b/python/packages/azurefunctions/tests/integration_tests/conftest.py
@@ -102,7 +102,7 @@ def _should_skip_azure_functions_integration_tests() -> tuple[bool, str]:
     if not _check_azurite_available():
         return (
             True,
-            f"Azurite not running on port {_AZURITE_BLOB_PORT}. Start with: docker run -d -p 10000:10000 -p 10001:10001 -p 10002:10002 mcr.microsoft.com/azure-storage/azurite",  # noqa: E501
+            f"Azurite not running on port {_AZURITE_BLOB_PORT}. Start with: docker run -d -p 10000:10000 -p 10001:10001 -p 10002:10002 mcr.microsoft.com/azure-storage/azurite azurite -l /data --blobHost 0.0.0.0 --queueHost 0.0.0.0 --tableHost 0.0.0.0 --skipApiVersionCheck",  # noqa: E501
         )
 
     # Check for Durable Task Scheduler emulator
diff --git a/python/packages/azurefunctions/tests/integration_tests/test_04_single_agent_orchestration_chaining.py b/python/packages/azurefunctions/tests/integration_tests/test_04_single_agent_orchestration_chaining.py
index 9c52c9a..a69f45a 100644
--- a/python/packages/azurefunctions/tests/integration_tests/test_04_single_agent_orchestration_chaining.py
+++ b/python/packages/azurefunctions/tests/integration_tests/test_04_single_agent_orchestration_chaining.py
@@ -12,7 +12,7 @@
 
 Usage:
     # Start Azurite (if not already running)
-    azurite &
+    azurite --skipApiVersionCheck &
 
     # Run tests
     uv run pytest packages/azurefunctions/tests/integration_tests/test_04_single_agent_orchestration_chaining.py -v
diff --git a/python/packages/azurefunctions/tests/integration_tests/test_05_multi_agent_orchestration_concurrency.py b/python/packages/azurefunctions/tests/integration_tests/test_05_multi_agent_orchestration_concurrency.py
index 7759b52..baa2125 100644
--- a/python/packages/azurefunctions/tests/integration_tests/test_05_multi_agent_orchestration_concurrency.py
+++ b/python/packages/azurefunctions/tests/integration_tests/test_05_multi_agent_orchestration_concurrency.py
@@ -12,7 +12,7 @@
 
 Usage:
     # Start Azurite (if not already running)
-    azurite &
+    azurite --skipApiVersionCheck &
 
     # Run tests
     uv run pytest packages/azurefunctions/tests/integration_tests/test_05_multi_agent_orchestration_concurrency.py -v
diff --git a/python/packages/azurefunctions/tests/integration_tests/test_06_multi_agent_orchestration_conditionals.py b/python/packages/azurefunctions/tests/integration_tests/test_06_multi_agent_orchestration_conditionals.py
index c40e4ab..65efe88 100644
--- a/python/packages/azurefunctions/tests/integration_tests/test_06_multi_agent_orchestration_conditionals.py
+++ b/python/packages/azurefunctions/tests/integration_tests/test_06_multi_agent_orchestration_conditionals.py
@@ -12,7 +12,7 @@
 
 Usage:
     # Start Azurite (if not already running)
-    azurite &
+    azurite --skipApiVersionCheck &
 
     # Run tests
     uv run pytest packages/azurefunctions/tests/integration_tests/test_06_multi_agent_orchestration_conditionals.py -v
diff --git a/python/packages/azurefunctions/tests/integration_tests/test_07_single_agent_orchestration_hitl.py b/python/packages/azurefunctions/tests/integration_tests/test_07_single_agent_orchestration_hitl.py
index 17356fa..6f3f6e8 100644
--- a/python/packages/azurefunctions/tests/integration_tests/test_07_single_agent_orchestration_hitl.py
+++ b/python/packages/azurefunctions/tests/integration_tests/test_07_single_agent_orchestration_hitl.py
@@ -12,7 +12,7 @@
 
 Usage:
     # Start Azurite (if not already running)
-    azurite &
+    azurite --skipApiVersionCheck &
 
     # Run tests
     uv run pytest packages/azurefunctions/tests/integration_tests/test_07_single_agent_orchestration_hitl.py -v
diff --git a/python/packages/azurefunctions/tests/integration_tests/test_08_mcp_server.py b/python/packages/azurefunctions/tests/integration_tests/test_08_mcp_server.py
index cbb2662..0b1becb 100644
--- a/python/packages/azurefunctions/tests/integration_tests/test_08_mcp_server.py
+++ b/python/packages/azurefunctions/tests/integration_tests/test_08_mcp_server.py
@@ -49,7 +49,6 @@ async def test_mcp_tools_can_be_listed_and_invoked(self, base_url: str) -> None:
             streamable_http_client(f"{base_url}/runtime/webhooks/mcp") as (
                 read_stream,
                 write_stream,
-                _,
             ),
             ClientSession(read_stream, write_stream) as session,
         ):
@@ -65,5 +64,5 @@ async def test_mcp_tools_can_be_listed_and_invoked(self, base_url: str) -> None:
                 ("PlantAdvisor", "Recommend a low-light indoor plant."),
             ):
                 result = await session.call_tool(tool_name, {"query": query})
-                assert result.isError is False
+                assert result.is_error is False
                 assert _response_text(result).strip()
diff --git a/python/packages/azurefunctions/tests/integration_tests/test_09_workflow_shared_state.py b/python/packages/azurefunctions/tests/integration_tests/test_09_workflow_shared_state.py
index bc90b7a..e8c9688 100644
--- a/python/packages/azurefunctions/tests/integration_tests/test_09_workflow_shared_state.py
+++ b/python/packages/azurefunctions/tests/integration_tests/test_09_workflow_shared_state.py
@@ -13,7 +13,7 @@
 
 Usage:
     # Start Azurite (if not already running)
-    azurite &
+    azurite --skipApiVersionCheck &
 
     # Run tests
     uv run pytest packages/azurefunctions/tests/integration_tests/test_09_workflow_shared_state.py -v
diff --git a/python/packages/azurefunctions/tests/integration_tests/test_10_workflow_no_shared_state.py b/python/packages/azurefunctions/tests/integration_tests/test_10_workflow_no_shared_state.py
index cc0ae63..e61b59c 100644
--- a/python/packages/azurefunctions/tests/integration_tests/test_10_workflow_no_shared_state.py
+++ b/python/packages/azurefunctions/tests/integration_tests/test_10_workflow_no_shared_state.py
@@ -13,7 +13,7 @@
 
 Usage:
     # Start Azurite (if not already running)
-    azurite &
+    azurite --skipApiVersionCheck &
 
     # Run tests
     uv run pytest packages/azurefunctions/tests/integration_tests/test_10_workflow_no_shared_state.py -v
diff --git a/python/packages/azurefunctions/tests/integration_tests/test_11_workflow_parallel.py b/python/packages/azurefunctions/tests/integration_tests/test_11_workflow_parallel.py
index 7866c26..85068cd 100644
--- a/python/packages/azurefunctions/tests/integration_tests/test_11_workflow_parallel.py
+++ b/python/packages/azurefunctions/tests/integration_tests/test_11_workflow_parallel.py
@@ -15,7 +15,7 @@
 
 Usage:
     # Start Azurite (if not already running)
-    azurite &
+    azurite --skipApiVersionCheck &
 
     # Run tests
     uv run pytest packages/azurefunctions/tests/integration_tests/test_11_workflow_parallel.py -v
diff --git a/python/packages/azurefunctions/tests/integration_tests/test_12_workflow_hitl.py b/python/packages/azurefunctions/tests/integration_tests/test_12_workflow_hitl.py
index 717e4cc..0c12ac0 100644
--- a/python/packages/azurefunctions/tests/integration_tests/test_12_workflow_hitl.py
+++ b/python/packages/azurefunctions/tests/integration_tests/test_12_workflow_hitl.py
@@ -13,7 +13,7 @@
 
 Usage:
     # Start Azurite (if not already running)
-    azurite &
+    azurite --skipApiVersionCheck &
 
     # Run tests
     uv run pytest packages/azurefunctions/tests/integration_tests/test_12_workflow_hitl.py -v
diff --git a/python/packages/azurefunctions/tests/test_app.py b/python/packages/azurefunctions/tests/test_app.py
index 15fff90..687506f 100644
--- a/python/packages/azurefunctions/tests/test_app.py
+++ b/python/packages/azurefunctions/tests/test_app.py
@@ -6,6 +6,7 @@
 
 import json
 from collections.abc import Awaitable, Callable
+from datetime import datetime, timezone
 from typing import Any, TypeVar
 from unittest.mock import ANY, AsyncMock, Mock, patch
 
@@ -24,13 +25,16 @@
     DurableAgentState,
     workflow_orchestrator_name,
 )
+from durabletask.client import OrchestrationStatus
+from durabletask.entities.entity_instance_id import EntityInstanceId
+from durabletask.entities.entity_metadata import EntityMetadata
+from durabletask.serialization import DEFAULT_DATA_CONVERTER
 
 from agent_framework_azurefunctions import AgentFunctionApp
 from agent_framework_azurefunctions._app import (
     _DEFAULT_WORKFLOW_WAIT_TIMEOUT_SECONDS,
     _MAX_WORKFLOW_WAIT_TIMEOUT_SECONDS,
 )
-from agent_framework_azurefunctions._entities import create_agent_entity
 from agent_framework_azurefunctions._errors import IncomingRequestError
 
 FuncT = TypeVar("FuncT", bound=Callable[..., Any])
@@ -512,233 +516,6 @@ def test_entity_reset(self) -> None:
         assert len(entity.state.data.conversation_history) == 0
 
 
-class TestAgentEntityFactory:
-    """Test suite for the entity factory function."""
-
-    def test_create_agent_entity_returns_function(self) -> None:
-        """Test that create_agent_entity returns a function."""
-        mock_agent = Mock()
-        entity_function = create_agent_entity(mock_agent)
-
-        assert callable(entity_function)
-
-    def test_entity_function_handles_run_operation(self) -> None:
-        """Test that the entity function handles the run operation."""
-        mock_agent = Mock()
-        mock_agent.run = AsyncMock(
-            return_value=AgentResponse(messages=[Message(role="assistant", contents=["Response"])])
-        )
-
-        entity_function = create_agent_entity(mock_agent)
-
-        # Mock context
-        mock_context = Mock()
-        mock_context.operation_name = "run"
-        mock_context.get_input.return_value = {
-            "message": "Test message",
-            "correlationId": "corr-app-factory-1",
-        }
-        mock_context.get_state.return_value = None
-
-        # Execute entity function
-        entity_function(mock_context)
-
-        # Verify result was set
-        assert mock_context.set_result.called
-        assert mock_context.set_state.called
-        result_call = mock_context.set_result.call_args[0][0]
-        assert "error" not in result_call
-
-    def test_entity_function_handles_run_agent_operation(self) -> None:
-        """Test that the entity function handles the deprecated run_agent operation for backward compatibility."""
-        mock_agent = Mock()
-        mock_agent.run = AsyncMock(
-            return_value=AgentResponse(messages=[Message(role="assistant", contents=["Response"])])
-        )
-
-        entity_function = create_agent_entity(mock_agent)
-
-        # Mock context
-        mock_context = Mock()
-        mock_context.operation_name = "run_agent"
-        mock_context.get_input.return_value = {
-            "message": "Test message",
-            "correlationId": "corr-app-factory-1",
-        }
-        mock_context.get_state.return_value = None
-
-        # Execute entity function
-        entity_function(mock_context)
-
-        # Verify result was set
-        assert mock_context.set_result.called
-        assert mock_context.set_state.called
-        result_call = mock_context.set_result.call_args[0][0]
-        assert "error" not in result_call
-
-    def test_entity_function_handles_reset_operation(self) -> None:
-        """Test that the entity function handles the reset operation."""
-        mock_agent = Mock()
-        entity_function = create_agent_entity(mock_agent)
-
-        # Mock context
-        mock_context = Mock()
-        mock_context.operation_name = "reset"
-        mock_context.get_state.return_value = {
-            "schemaVersion": "1.0.0",
-            "data": {
-                "conversationHistory": [
-                    {
-                        "$type": "request",
-                        "correlationId": "corr-reset-test",
-                        "createdAt": "2024-01-01T00:00:00Z",
-                        "messages": [
-                            {
-                                "role": "user",
-                                "contents": [
-                                    {
-                                        "$type": "text",
-                                        "text": "test",
-                                    }
-                                ],
-                            }
-                        ],
-                    }
-                ],
-            },
-        }
-
-        # Execute entity function
-        entity_function(mock_context)
-
-        # Verify result was set
-        assert mock_context.set_result.called
-        result_call = mock_context.set_result.call_args[0][0]
-        assert result_call["status"] == "reset"
-
-    def test_entity_function_handles_unknown_operation(self) -> None:
-        """Test that the entity function handles an unknown operation."""
-        mock_agent = Mock()
-        entity_function = create_agent_entity(mock_agent)
-
-        # Mock context with unknown operation
-        mock_context = Mock()
-        mock_context.operation_name = "unknown_operation"
-        mock_context.get_state.return_value = None
-
-        # Execute entity function
-        entity_function(mock_context)
-
-        # Verify error result was set
-        assert mock_context.set_result.called
-        result_call = mock_context.set_result.call_args[0][0]
-        assert "error" in result_call
-        assert "unknown_operation" in result_call["error"]
-
-    def test_entity_function_restores_state(self) -> None:
-        """Test that the entity function restores state from the context."""
-        mock_agent = Mock()
-        entity_function = create_agent_entity(mock_agent)
-
-        # Mock context with existing state
-        existing_state = {
-            "schemaVersion": "1.0.0",
-            "data": {
-                "conversationHistory": [
-                    {
-                        "$type": "request",
-                        "correlationId": "corr-existing-1",
-                        "createdAt": "2024-01-01T00:00:00Z",
-                        "messages": [
-                            {
-                                "role": "user",
-                                "contents": [
-                                    {
-                                        "$type": "text",
-                                        "text": "msg1",
-                                    }
-                                ],
-                            }
-                        ],
-                    },
-                    {
-                        "$type": "response",
-                        "correlationId": "corr-existing-1",
-                        "createdAt": "2024-01-01T00:05:00Z",
-                        "messages": [
-                            {
-                                "role": "assistant",
-                                "contents": [
-                                    {
-                                        "$type": "text",
-                                        "text": "resp1",
-                                    }
-                                ],
-                            }
-                        ],
-                    },
-                ],
-            },
-        }
-
-        mock_context = Mock()
-        mock_context.operation_name = "run"
-        mock_context.get_input.return_value = {
-            "message": "Test message",
-            "correlationId": "corr-restore-1",
-        }
-        mock_context.get_state.return_value = existing_state
-
-        with patch.object(DurableAgentState, "from_dict", wraps=DurableAgentState.from_dict) as from_dict_mock:
-            entity_function(mock_context)
-
-        from_dict_mock.assert_called_once_with(existing_state)
-
-
-class TestErrorHandling:
-    """Test suite for error handling."""
-
-    async def test_entity_handles_agent_error(self) -> None:
-        """Test that the entity handles agent execution errors."""
-        mock_agent = Mock()
-        mock_agent.run = AsyncMock(side_effect=Exception("Agent error"))
-
-        entity = AgentEntity(mock_agent, state_provider=_InMemoryStateProvider(session_id="conv-1"))
-
-        result = await entity.run({
-            "message": "Test message",
-            "correlationId": "corr-app-error-1",
-        })
-
-        assert isinstance(result, AgentResponse)
-        assert len(result.messages) == 1
-        content = result.messages[0].contents[0]
-        assert content.type == "error"
-        assert "Agent error" in (content.message or "")
-        assert content.error_code == "Exception"
-
-    def test_entity_function_handles_exception(self) -> None:
-        """Test that the entity function handles exceptions gracefully."""
-        mock_agent = Mock()
-        # Force an exception by making get_input fail
-        mock_agent.run = AsyncMock(side_effect=Exception("Test error"))
-
-        entity_function = create_agent_entity(mock_agent)
-
-        mock_context = Mock()
-        mock_context.operation_name = "run"
-        mock_context.get_input.side_effect = Exception("Input error")
-        mock_context.get_state.return_value = None
-
-        # Execute entity function - should not raise
-        entity_function(mock_context)
-
-        # Verify error result was set
-        assert mock_context.set_result.called
-        result_call = mock_context.set_result.call_args[0][0]
-        assert "error" in result_call
-
-
 class TestIncomingRequestParsing:
     """Tests for parsing run requests with JSON and plain text bodies."""
 
@@ -1058,14 +835,14 @@ async def test_wait_for_response_query_waits_with_timeout(self) -> None:
         request.get_json.return_value = {"message": "hello"}
 
         client = AsyncMock()
-        client.start_new.return_value = "custom-run"
+        client.schedule_new_orchestration.return_value = "custom-run"
         client.wait_for_completion_or_create_check_status_response.return_value = func.HttpResponse(
             "completed", status_code=200
         )
-        client.get_status.return_value = Mock(
+        client.get_orchestration_state.return_value = Mock(
             instance_id="custom-run",
-            runtime_status=df.OrchestrationRuntimeStatus.Completed,
-            output="completed",
+            runtime_status=OrchestrationStatus.COMPLETED,
+            get_output=Mock(return_value="completed"),
         )
 
         response = await handler(request, client)
@@ -1082,10 +859,10 @@ async def test_wait_for_response_query_waits_with_timeout(self) -> None:
             timeout_in_milliseconds=30_000,
             retry_interval_in_milliseconds=1000,
         )
-        client.start_new.assert_awaited_once_with(
+        client.schedule_new_orchestration.assert_awaited_once_with(
             "dafx-test_workflow",
             instance_id="custom-run",
-            client_input={"message": "hello"},
+            input={"message": "hello"},
         )
 
     async def test_wait_for_response_header_waits_with_default_timeout(self) -> None:
@@ -1097,14 +874,14 @@ async def test_wait_for_response_header_waits_with_default_timeout(self) -> None
         request.get_json.return_value = {"message": "hello"}
 
         client = AsyncMock()
-        client.start_new.return_value = "instance-1"
+        client.schedule_new_orchestration.return_value = "instance-1"
         client.wait_for_completion_or_create_check_status_response.return_value = func.HttpResponse(
             "completed", status_code=200
         )
-        client.get_status.return_value = Mock(
+        client.get_orchestration_state.return_value = Mock(
             instance_id="instance-1",
-            runtime_status=df.OrchestrationRuntimeStatus.Completed,
-            output="completed",
+            runtime_status=OrchestrationStatus.COMPLETED,
+            get_output=Mock(return_value="completed"),
         )
 
         response = await handler(request, client)
@@ -1132,7 +909,7 @@ async def test_default_returns_async_workflow_handle(self) -> None:
         request.get_json.return_value = {"message": "hello"}
 
         client = AsyncMock()
-        client.start_new.return_value = "instance-1"
+        client.schedule_new_orchestration.return_value = "instance-1"
 
         response = await handler(request, client)
 
@@ -1149,7 +926,7 @@ async def test_wait_timeout_returns_same_async_workflow_handle(self) -> None:
         async_request.params = {}
         async_request.get_json.return_value = {"message": "hello"}
         async_client = AsyncMock()
-        async_client.start_new.return_value = "instance-1"
+        async_client.schedule_new_orchestration.return_value = "instance-1"
 
         timeout_request = Mock()
         timeout_request.url = async_request.url
@@ -1157,7 +934,7 @@ async def test_wait_timeout_returns_same_async_workflow_handle(self) -> None:
         timeout_request.params = {"waitForResponse": "true"}
         timeout_request.get_json.return_value = {"message": "hello"}
         timeout_client = AsyncMock()
-        timeout_client.start_new.return_value = "instance-1"
+        timeout_client.schedule_new_orchestration.return_value = "instance-1"
         timeout_client.wait_for_completion_or_create_check_status_response.return_value = func.HttpResponse(
             json.dumps({"id": "instance-1", "statusQueryGetUri": "https://durable-webhook.example/status"}),
             status_code=202,
@@ -1181,16 +958,16 @@ async def test_wait_failure_returns_domain_result(self) -> None:
         request.params = {"waitForResponse": "true"}
         request.get_json.return_value = {"message": "hello"}
         client = AsyncMock()
-        client.start_new.return_value = "instance-1"
+        client.schedule_new_orchestration.return_value = "instance-1"
         client.wait_for_completion_or_create_check_status_response.return_value = func.HttpResponse(
             json.dumps({"runtimeStatus": "Failed", "output": "Something went wrong"}),
             status_code=500,
             mimetype=MIMETYPE_APPLICATION_JSON,
         )
-        client.get_status.return_value = Mock(
+        client.get_orchestration_state.return_value = Mock(
             instance_id="instance-1",
-            runtime_status=df.OrchestrationRuntimeStatus.Failed,
-            output="Something went wrong",
+            runtime_status=OrchestrationStatus.FAILED,
+            get_output=Mock(return_value="Something went wrong"),
         )
 
         response = await handler(request, client)
@@ -1213,14 +990,14 @@ async def test_wait_completion_decodes_typed_output(self) -> None:
         request.get_json.return_value = {"message": "hello"}
         encoded_output = {"__pickled__": "checkpoint-data"}
         client = AsyncMock()
-        client.start_new.return_value = "instance-1"
+        client.schedule_new_orchestration.return_value = "instance-1"
         client.wait_for_completion_or_create_check_status_response.return_value = func.HttpResponse(
             json.dumps(encoded_output), status_code=200
         )
-        client.get_status.return_value = Mock(
+        client.get_orchestration_state.return_value = Mock(
             instance_id="instance-1",
-            runtime_status=df.OrchestrationRuntimeStatus.Completed,
-            output=encoded_output,
+            runtime_status=OrchestrationStatus.COMPLETED,
+            get_output=Mock(return_value=encoded_output),
         )
 
         with patch(
@@ -1240,16 +1017,16 @@ async def test_wait_terminated_returns_unexpected_status_error(self) -> None:
         request.params = {"waitForResponse": "true"}
         request.get_json.return_value = {"message": "hello"}
         client = AsyncMock()
-        client.start_new.return_value = "instance-1"
+        client.schedule_new_orchestration.return_value = "instance-1"
         client.wait_for_completion_or_create_check_status_response.return_value = func.HttpResponse(
             json.dumps({"runtimeStatus": "Terminated"}),
             status_code=200,
             mimetype=MIMETYPE_APPLICATION_JSON,
         )
-        client.get_status.return_value = Mock(
+        client.get_orchestration_state.return_value = Mock(
             instance_id="instance-1",
-            runtime_status=df.OrchestrationRuntimeStatus.Terminated,
-            output=None,
+            runtime_status=OrchestrationStatus.TERMINATED,
+            get_output=Mock(return_value=None),
         )
 
         response = await handler(request, client)
@@ -1268,7 +1045,7 @@ async def test_invalid_wait_timeout_does_not_start_workflow(self) -> None:
         response = await handler(request, client)
 
         assert response.status_code == 400
-        client.start_new.assert_not_awaited()
+        client.schedule_new_orchestration.assert_not_awaited()
 
     async def test_invalid_wait_for_response_does_not_start_workflow(self) -> None:
         """Test invalid synchronous wait rejection before scheduling."""
@@ -1282,7 +1059,7 @@ async def test_invalid_wait_for_response_does_not_start_workflow(self) -> None:
 
         assert response.status_code == 400
         assert "waitForResponse" in response.get_body().decode("utf-8")
-        client.start_new.assert_not_awaited()
+        client.schedule_new_orchestration.assert_not_awaited()
 
     async def test_wait_header_takes_precedence_over_invalid_query(self) -> None:
         """Test that the legacy wait header retains precedence over the query parameter."""
@@ -1293,7 +1070,7 @@ async def test_wait_header_takes_precedence_over_invalid_query(self) -> None:
         request.url = "http://localhost:7071/api/workflow/test_workflow/run"
         request.get_json.return_value = {"message": "hello"}
         client = AsyncMock()
-        client.start_new.return_value = "instance-1"
+        client.schedule_new_orchestration.return_value = "instance-1"
 
         response = await handler(request, client)
 
@@ -1325,7 +1102,7 @@ async def test_invalid_run_id_does_not_start_workflow(self, run_id: str) -> None
 
         assert response.status_code == 400
         assert "runId" in response.get_body().decode("utf-8")
-        client.start_new.assert_not_awaited()
+        client.schedule_new_orchestration.assert_not_awaited()
 
 
 class TestMCPToolEndpoint:
@@ -1462,14 +1239,6 @@ async def test_handle_mcp_tool_invocation_with_json_string(self) -> None:
         app = AgentFunctionApp(agents=[mock_agent])
         client = AsyncMock()
 
-        # Mock the entity response
-        mock_state = Mock()
-        mock_state.entity_state = {
-            "schemaVersion": "1.0.0",
-            "data": {"conversationHistory": []},
-        }
-        client.read_entity_state.return_value = mock_state
-
         # Create JSON string context
         context = '{"arguments": {"query": "test query", "sessionId": "test-session"}}'
 
@@ -1489,14 +1258,6 @@ async def test_handle_mcp_tool_invocation_with_json_context(self) -> None:
         app = AgentFunctionApp(agents=[mock_agent])
         client = AsyncMock()
 
-        # Mock the entity response
-        mock_state = Mock()
-        mock_state.entity_state = {
-            "schemaVersion": "1.0.0",
-            "data": {"conversationHistory": []},
-        }
-        client.read_entity_state.return_value = mock_state
-
         # Create JSON string context
         context = json.dumps({"arguments": {"query": "test query", "sessionId": "test-session"}})
 
@@ -1544,14 +1305,6 @@ async def test_handle_mcp_tool_invocation_runtime_error(self) -> None:
         app = AgentFunctionApp(agents=[mock_agent])
         client = AsyncMock()
 
-        # Mock the entity response
-        mock_state = Mock()
-        mock_state.entity_state = {
-            "schemaVersion": "1.0.0",
-            "data": {"conversationHistory": []},
-        }
-        client.read_entity_state.return_value = mock_state
-
         context = '{"arguments": {"query": "test query"}}'
 
         with patch.object(app, "_get_response_from_entity") as get_response_mock:
@@ -1568,14 +1321,6 @@ async def test_handle_mcp_tool_invocation_ignores_agent_name_in_session_id(self)
         app = AgentFunctionApp(agents=[mock_agent])
         client = AsyncMock()
 
-        # Mock the entity response
-        mock_state = Mock()
-        mock_state.entity_state = {
-            "schemaVersion": "1.0.0",
-            "data": {"conversationHistory": []},
-        }
-        client.read_entity_state.return_value = mock_state
-
         # Session ID contains a different agent name (@StockAdvisor@poc123)
         # but we're invoking PlantAdvisor - it should use PlantAdvisor's entity
         context = json.dumps({"arguments": {"query": "test query", "sessionId": "@StockAdvisor@test123"}})
@@ -1590,8 +1335,11 @@ async def test_handle_mcp_tool_invocation_ignores_agent_name_in_session_id(self)
             call_args = client.signal_entity.call_args
             entity_id = call_args[0][0]
 
-            # Entity name should be dafx-PlantAdvisor, not dafx-StockAdvisor
-            assert entity_id.name == "dafx-PlantAdvisor"
+            # Entity name should resolve to PlantAdvisor, not StockAdvisor.
+            # durabletask's EntityInstanceId normalizes the entity name to lowercase
+            # (the standalone DurableTask host has always behaved this way), so compare
+            # case-insensitively rather than against the registered casing.
+            assert entity_id.entity.casefold() == "dafx-plantadvisor"
             assert entity_id.key == "test123"
 
     async def test_handle_mcp_tool_invocation_uses_plain_session_id_as_key(self) -> None:
@@ -1602,13 +1350,6 @@ async def test_handle_mcp_tool_invocation_uses_plain_session_id_as_key(self) ->
         app = AgentFunctionApp(agents=[mock_agent])
         client = AsyncMock()
 
-        mock_state = Mock()
-        mock_state.entity_state = {
-            "schemaVersion": "1.0.0",
-            "data": {"conversationHistory": []},
-        }
-        client.read_entity_state.return_value = mock_state
-
         # Plain session id without @name@key format
         context = json.dumps({"arguments": {"query": "test query", "sessionId": "simple-session-123"}})
 
@@ -1621,7 +1362,8 @@ async def test_handle_mcp_tool_invocation_uses_plain_session_id_as_key(self) ->
             call_args = client.signal_entity.call_args
             entity_id = call_args[0][0]
 
-            assert entity_id.name == "dafx-TestAgent"
+            # See the note above: EntityInstanceId normalizes entity names to lowercase.
+            assert entity_id.entity.casefold() == "dafx-testagent"
             assert entity_id.key == "simple-session-123"
 
     async def test_handle_mcp_tool_invocation_accepts_legacy_thread_id(self) -> None:
@@ -1632,13 +1374,6 @@ async def test_handle_mcp_tool_invocation_accepts_legacy_thread_id(self) -> None
         app = AgentFunctionApp(agents=[mock_agent])
         client = AsyncMock()
 
-        mock_state = Mock()
-        mock_state.entity_state = {
-            "schemaVersion": "1.0.0",
-            "data": {"conversationHistory": []},
-        }
-        client.read_entity_state.return_value = mock_state
-
         context = json.dumps({"arguments": {"query": "test query", "threadId": "legacy-key-123"}})
 
         with patch.object(app, "_get_response_from_entity") as get_response_mock:
@@ -1657,13 +1392,6 @@ async def test_handle_mcp_tool_invocation_prefers_session_id(self) -> None:
         app = AgentFunctionApp(agents=[mock_agent])
         client = AsyncMock()
 
-        mock_state = Mock()
-        mock_state.entity_state = {
-            "schemaVersion": "1.0.0",
-            "data": {"conversationHistory": []},
-        }
-        client.read_entity_state.return_value = mock_state
-
         context = json.dumps({
             "arguments": {"query": "test query", "sessionId": "canonical-key", "threadId": "legacy-key"}
         })
@@ -1814,10 +1542,6 @@ async def test_handle_mcp_tool_invocation_blank_session_id_falls_back_to_thread_
         app = AgentFunctionApp(agents=[mock_agent])
         client = AsyncMock()
 
-        mock_state = Mock()
-        mock_state.entity_state = {"schemaVersion": "1.0.0", "data": {"conversationHistory": []}}
-        client.read_entity_state.return_value = mock_state
-
         context = json.dumps({"arguments": {"query": "q", "sessionId": "   ", "threadId": "legacy-key"}})
 
         with patch.object(app, "_get_response_from_entity") as get_response_mock:
@@ -2356,7 +2080,7 @@ def test_accepts_matching_workflow_orchestration(self, name: str) -> None:
         assert app._is_owned_orchestration(status, "orders") is True
 
     def test_rejects_none_status(self) -> None:
-        # client.get_status returns None when no instance resolves for the ID.
+        # client.get_orchestration_state returns None when no instance resolves for the ID.
         app = self._app_for("orders")
         assert app._is_owned_orchestration(None, "orders") is False
 
@@ -2403,17 +2127,17 @@ def _app() -> AgentFunctionApp:
 
     @staticmethod
     def _client(by_instance: dict[str, dict | None]) -> AsyncMock:
-        """An AsyncMock durable client whose get_status returns a per-instance custom status."""
+        """An AsyncMock durable client whose get_orchestration_state returns a per-instance custom status."""
 
         async def _get_status(instance_id: str) -> Mock | None:
             if instance_id not in by_instance:
                 return None
             status = Mock()
-            status.custom_status = by_instance[instance_id]
+            status.get_custom_status.return_value = by_instance[instance_id]
             return status
 
         client = AsyncMock()
-        client.get_status.side_effect = _get_status
+        client.get_orchestration_state.side_effect = _get_status
         return client
 
     async def test_gather_returns_top_level_requests_unqualified(self) -> None:
@@ -2524,5 +2248,60 @@ async def test_top_level_double_colon_leaf_is_not_nested(self) -> None:
         assert resolved == ("parent", "auto::0")
 
 
+class TestReadCachedState:
+    """Coverage for reading agent state back out of a durable entity."""
+
+    @staticmethod
+    def _entity_metadata(state: Any) -> EntityMetadata:
+        """Build a real EntityMetadata so the test tracks the SDK's own get_state contract."""
+        return EntityMetadata(
+            id=EntityInstanceId(entity="dafx-testagent", key="test-session"),
+            last_modified=datetime(2026, 1, 1, tzinfo=timezone.utc),
+            backlog_queue_size=0,
+            locked_by="",
+            includes_state=True,
+            state=state,
+            data_converter=DEFAULT_DATA_CONVERTER,
+        )
+
+    async def test_reads_state_from_raw_json_payload(self) -> None:
+        """get_state returns the serialized JSON payload rather than a mapping.
+
+        Treating it as a mapping silently yields no state, which leaves the HTTP
+        endpoints polling a completed entity until they time out.
+        """
+        mock_agent = Mock()
+        mock_agent.name = "TestAgent"
+        app = AgentFunctionApp(agents=[mock_agent])
+
+        client = AsyncMock()
+        client.get_entity.return_value = self._entity_metadata(DurableAgentState().to_json())
+
+        state = await app._read_cached_state(client, EntityInstanceId(entity="dafx-testagent", key="test-session"))
+
+        assert state is not None
+        assert state.schema_version == DurableAgentState.SCHEMA_VERSION
+
+    async def test_missing_entity_returns_none(self) -> None:
+        mock_agent = Mock()
+        mock_agent.name = "TestAgent"
+        app = AgentFunctionApp(agents=[mock_agent])
+
+        client = AsyncMock()
+        client.get_entity.return_value = None
+
+        assert await app._read_cached_state(client, EntityInstanceId(entity="dafx-testagent", key="k")) is None
+
+    async def test_entity_without_state_returns_none(self) -> None:
+        mock_agent = Mock()
+        mock_agent.name = "TestAgent"
+        app = AgentFunctionApp(agents=[mock_agent])
+
+        client = AsyncMock()
+        client.get_entity.return_value = self._entity_metadata(None)
+
+        assert await app._read_cached_state(client, EntityInstanceId(entity="dafx-testagent", key="k")) is None
+
+
 if __name__ == "__main__":
     pytest.main([__file__, "-v", "--tb=short"])
diff --git a/python/packages/azurefunctions/tests/test_azurefunctions_workflow_initial_input.py b/python/packages/azurefunctions/tests/test_azurefunctions_workflow_initial_input.py
index b1de0bc..57a02e7 100644
--- a/python/packages/azurefunctions/tests/test_azurefunctions_workflow_initial_input.py
+++ b/python/packages/azurefunctions/tests/test_azurefunctions_workflow_initial_input.py
@@ -67,8 +67,8 @@ async def test_workflow_run_route_neutralizes_reserved_marker_shaped_input() ->
     request.params = {}
     request.url = "https://example.test/api/workflow/input_boundary/run"
     client = AsyncMock()
-    client.start_new.return_value = "instance-1"
+    client.schedule_new_orchestration.return_value = "instance-1"
 
     await handler(request, client)
 
-    assert client.start_new.await_args.kwargs["client_input"] is None
+    assert client.schedule_new_orchestration.await_args.kwargs["input"] is None
diff --git a/python/packages/azurefunctions/tests/test_entities.py b/python/packages/azurefunctions/tests/test_entities.py
deleted file mode 100644
index cc2fc75..0000000
--- a/python/packages/azurefunctions/tests/test_entities.py
+++ /dev/null
@@ -1,293 +0,0 @@
-# Copyright (c) Microsoft. All rights reserved.
-
-"""Unit tests for create_agent_entity factory function.
-
-Run with: pytest tests/test_entities.py -v
-"""
-
-from collections.abc import Callable
-from typing import Any, TypeVar
-from unittest.mock import AsyncMock, Mock
-
-import pytest
-from agent_framework import AgentResponse, Message
-
-from agent_framework_azurefunctions._entities import create_agent_entity
-
-FuncT = TypeVar("FuncT", bound=Callable[..., Any])
-
-
-def _agent_response(text: str | None) -> AgentResponse:
-    """Create an AgentResponse with a single assistant message."""
-    message = (
-        Message(role="assistant", contents=[text]) if text is not None else Message(role="assistant", contents=[""])
-    )
-    return AgentResponse(messages=[message])
-
-
-class TestCreateAgentEntity:
-    """Test suite for the create_agent_entity factory function."""
-
-    def test_create_agent_entity_returns_callable(self) -> None:
-        """Test that create_agent_entity returns a callable."""
-        mock_agent = Mock()
-
-        entity_function = create_agent_entity(mock_agent)
-
-        assert callable(entity_function)
-
-    def test_entity_function_handles_run_agent(self) -> None:
-        """Test that the entity function handles the run_agent operation."""
-        mock_agent = Mock()
-        mock_agent.run = AsyncMock(return_value=_agent_response("Response"))
-
-        entity_function = create_agent_entity(mock_agent)
-
-        # Mock context
-        mock_context = Mock()
-        mock_context.operation_name = "run"
-        mock_context.entity_key = "conv-123"
-        mock_context.get_input.return_value = {
-            "message": "Test message",
-            "correlationId": "corr-entity-factory",
-        }
-        mock_context.get_state.return_value = None
-
-        # Execute
-        entity_function(mock_context)
-
-        # Verify result and state were set
-        assert mock_context.set_result.called
-        assert mock_context.set_state.called
-
-    def test_entity_function_handles_reset(self) -> None:
-        """Test that the entity function handles the reset operation."""
-        mock_agent = Mock()
-
-        entity_function = create_agent_entity(mock_agent)
-
-        # Mock context with existing state
-        mock_context = Mock()
-        mock_context.operation_name = "reset"
-        mock_context.get_state.return_value = {
-            "schemaVersion": "1.0.0",
-            "data": {
-                "conversationHistory": [
-                    {
-                        "$type": "request",
-                        "correlationId": "test-correlation-id",
-                        "createdAt": "2024-01-01T00:00:00Z",
-                        "messages": [
-                            {
-                                "role": "user",
-                                "contents": [{"$type": "text", "text": "test"}],
-                            }
-                        ],
-                    }
-                ]
-            },
-        }
-
-        # Execute
-        entity_function(mock_context)
-
-        # Verify reset result
-        assert mock_context.set_result.called
-        result = mock_context.set_result.call_args[0][0]
-        assert result["status"] == "reset"
-
-        # Verify state was cleared
-        assert mock_context.set_state.called
-        state = mock_context.set_state.call_args[0][0]
-        assert state["data"]["conversationHistory"] == []
-
-    def test_entity_function_handles_unknown_operation(self) -> None:
-        """Test that the entity function handles unknown operations."""
-        mock_agent = Mock()
-
-        entity_function = create_agent_entity(mock_agent)
-
-        mock_context = Mock()
-        mock_context.operation_name = "invalid_operation"
-        mock_context.get_state.return_value = None
-
-        # Execute
-        entity_function(mock_context)
-
-        # Verify error result
-        assert mock_context.set_result.called
-        result = mock_context.set_result.call_args[0][0]
-        assert "error" in result
-        assert "invalid_operation" in result["error"].lower()
-
-    def test_entity_function_creates_new_entity_on_first_call(self) -> None:
-        """Test that the entity function creates a new entity when no state exists."""
-        mock_agent = Mock()
-        mock_agent.__class__.__name__ = "Agent"
-
-        entity_function = create_agent_entity(mock_agent)
-        mock_context = Mock()
-        mock_context.operation_name = "reset"
-        mock_context.get_state.return_value = None  # No existing state
-
-        # Execute
-        entity_function(mock_context)
-
-        # Verify new entity state was created
-        assert mock_context.set_result.called
-        result = mock_context.set_result.call_args[0][0]
-        assert result["status"] == "reset"
-        assert mock_context.set_state.called
-        state = mock_context.set_state.call_args[0][0]
-        assert state["data"] == {"conversationHistory": []}
-
-    def test_entity_function_restores_existing_state(self) -> None:
-        """Test that the entity function can operate when existing state is present."""
-        mock_agent = Mock()
-
-        entity_function = create_agent_entity(mock_agent)
-
-        existing_state = {
-            "schemaVersion": "1.0.0",
-            "data": {
-                "conversationHistory": [
-                    {
-                        "$type": "request",
-                        "correlationId": "corr-existing-1",
-                        "createdAt": "2024-01-01T00:00:00Z",
-                        "messages": [
-                            {
-                                "role": "user",
-                                "contents": [
-                                    {
-                                        "$type": "text",
-                                        "text": "msg1",
-                                    }
-                                ],
-                            }
-                        ],
-                    },
-                    {
-                        "$type": "response",
-                        "correlationId": "corr-existing-1",
-                        "createdAt": "2024-01-01T00:05:00Z",
-                        "messages": [
-                            {
-                                "role": "assistant",
-                                "contents": [
-                                    {
-                                        "$type": "text",
-                                        "text": "resp1",
-                                    }
-                                ],
-                            }
-                        ],
-                    },
-                ],
-            },
-        }
-
-        mock_context = Mock()
-        mock_context.operation_name = "reset"
-        mock_context.get_state.return_value = existing_state
-
-        entity_function(mock_context)
-
-        assert mock_context.set_result.called
-
-        # Reset should clear history and persist via set_state
-        assert mock_context.set_state.called
-        persisted_state = mock_context.set_state.call_args[0][0]
-        assert persisted_state["data"]["conversationHistory"] == []
-
-    def test_entity_function_handles_string_input(self) -> None:
-        """Test that the entity function handles non-dict input by converting to string."""
-        mock_agent = Mock()
-        mock_agent.run = AsyncMock(return_value=_agent_response("String response"))
-
-        entity_function = create_agent_entity(mock_agent)
-
-        # Mock context with non-dict input (like a number)
-        mock_context = Mock()
-        mock_context.operation_name = "run"
-        mock_context.entity_key = "conv-456"
-        # Use a number to test the str() conversion path
-        mock_context.get_input.return_value = 12345
-        mock_context.get_state.return_value = None
-
-        # Execute - entity will convert non-dict input to string
-        entity_function(mock_context)
-
-        # Verify the result was set
-        assert mock_context.set_result.called
-
-    def test_entity_function_handles_none_input(self) -> None:
-        """Test that the entity function handles None input by converting to empty string."""
-        mock_agent = Mock()
-        mock_agent.run = AsyncMock(return_value=_agent_response("Empty response"))
-
-        entity_function = create_agent_entity(mock_agent)
-
-        # Mock context with None input
-        mock_context = Mock()
-        mock_context.operation_name = "run"
-        mock_context.entity_key = "conv-789"
-        mock_context.get_input.return_value = None
-        mock_context.get_state.return_value = None
-
-        # Execute - should hit error path since entity expects dict or valid JSON string
-        entity_function(mock_context)
-
-        # Verify the result was set (likely error result)
-        assert mock_context.set_result.called
-
-    def test_entity_function_runs_on_persistent_loop(self) -> None:
-        """Entity coroutines run on the shared persistent loop and set a result."""
-        mock_agent = Mock()
-        mock_agent.run = AsyncMock(return_value=_agent_response("Response"))
-
-        entity_function = create_agent_entity(mock_agent)
-
-        mock_context = Mock()
-        mock_context.operation_name = "run"
-        mock_context.entity_key = "conv-loop-test"
-        mock_context.get_input.return_value = {"message": "Test", "correlationId": "corr-loop-test"}
-        mock_context.get_state.return_value = None
-
-        # Execute - the persistent loop should run the coroutine and set a result.
-        entity_function(mock_context)
-
-        assert mock_context.set_result.called
-        mock_agent.run.assert_awaited()
-
-    def test_entity_function_runs_across_threads_without_hang(self) -> None:
-        """Successive entity invocations from different threads must not hang.
-
-        This reproduces the cross-loop scenario that previously deadlocked: a
-        shared async resource bound to one loop being awaited from a different
-        worker thread. The persistent loop keeps every invocation on one loop.
-        """
-        from concurrent.futures import ThreadPoolExecutor
-
-        mock_agent = Mock()
-        mock_agent.run = AsyncMock(return_value=_agent_response("Response"))
-
-        entity_function = create_agent_entity(mock_agent)
-
-        def invoke(i: int) -> bool:
-            ctx = Mock()
-            ctx.operation_name = "run"
-            ctx.entity_key = f"conv-{i}"
-            ctx.get_input.return_value = {"message": f"Test {i}", "correlationId": f"corr-{i}"}
-            ctx.get_state.return_value = None
-            entity_function(ctx)
-            return ctx.set_result.called
-
-        with ThreadPoolExecutor(max_workers=8) as ex:
-            results = list(ex.map(invoke, range(16)))
-
-        assert all(results)
-
-
-if __name__ == "__main__":
-    pytest.main([__file__, "-v", "--tb=short"])
diff --git a/python/packages/azurefunctions/tests/test_integration_sample_coverage.py b/python/packages/azurefunctions/tests/test_integration_sample_coverage.py
index 759ebb0..bda6403 100644
--- a/python/packages/azurefunctions/tests/test_integration_sample_coverage.py
+++ b/python/packages/azurefunctions/tests/test_integration_sample_coverage.py
@@ -97,14 +97,18 @@ def test_integration_pipelines_run_azure_functions_suite() -> None:
         repo_root / ".github" / "workflows" / "python-integration-tests.yml",
         repo_root / "eng" / "templates" / "jobs" / "python-integration-tests.yml",
     ]
-    expected_command = "pytest packages/azurefunctions/tests/integration_tests"
+    # This package is a standalone uv project with its own environment, so the suite
+    # runs from the package directory and the pytest target is relative to it.
+    required_fragments = ("python/packages/azurefunctions", "pytest tests/integration_tests")
 
-    missing_invocations = [
-        str(path.relative_to(repo_root))
+    missing_fragments = {
+        str(path.relative_to(repo_root)): missing
         for path in pipeline_paths
-        if expected_command not in path.read_text(encoding="utf-8")
-    ]
-    assert not missing_invocations, f"Azure Functions integration suite is not invoked by: {missing_invocations}"
+        if (
+            missing := [fragment for fragment in required_fragments if fragment not in path.read_text(encoding="utf-8")]
+        )
+    }
+    assert not missing_fragments, f"Azure Functions integration suite is not invoked by: {missing_fragments}"
 
 
 def test_skip_guard_detects_decorators_and_module_markers(tmp_path: Path) -> None:
diff --git a/python/packages/azurefunctions/tests/test_orchestration.py b/python/packages/azurefunctions/tests/test_orchestration.py
deleted file mode 100644
index ec387f6..0000000
--- a/python/packages/azurefunctions/tests/test_orchestration.py
+++ /dev/null
@@ -1,399 +0,0 @@
-# Copyright (c) Microsoft. All rights reserved.
-
-"""Unit tests for orchestration support (DurableAIAgent)."""
-
-from typing import Any
-from unittest.mock import Mock
-
-import pytest
-from agent_framework import AgentResponse, Message
-from agent_framework_durabletask import DurableAIAgent
-from azure.durable_functions.models.Task import TaskBase, TaskState
-
-from agent_framework_azurefunctions import AgentFunctionApp
-from agent_framework_azurefunctions._orchestration import AgentTask
-
-
-def _app_with_registered_agents(*agent_names: str) -> AgentFunctionApp:
-    app = AgentFunctionApp(enable_health_check=False, enable_http_endpoints=False)
-    for name in agent_names:
-        agent = Mock()
-        agent.name = name
-        app.add_agent(agent)
-    return app
-
-
-class _FakeTask(TaskBase):
-    """Concrete TaskBase for testing AgentTask wiring."""
-
-    def __init__(self, task_id: int = 1):
-        super().__init__(task_id, [])
-        self._set_is_scheduled(False)
-        self.action_repr: list[Any] = []  # pyrefly: ignore[bad-override-mutable-attribute]
-        self.state = TaskState.RUNNING
-
-
-def _create_entity_task(task_id: int = 1) -> TaskBase:
-    """Create a minimal TaskBase instance for AgentTask tests."""
-    return _FakeTask(task_id)
-
-
-@pytest.fixture
-def mock_context():
-    """Create a mock orchestration context with UUID support."""
-    context = Mock()
-    context.instance_id = "test-instance"
-    context.current_utc_datetime = Mock()
-    return context
-
-
-@pytest.fixture
-def mock_context_with_uuid() -> tuple[Mock, str]:
-    """Create a mock context with a single UUID."""
-    from uuid import UUID
-
-    context = Mock()
-    context.instance_id = "test-instance"
-    context.current_utc_datetime = Mock()
-    test_uuid = UUID("aaaaaaaa-aaaa-aaaa-aaaa-aaaaaaaaaaaa")
-    context.new_uuid = Mock(return_value=test_uuid)
-    return context, test_uuid.hex
-
-
-@pytest.fixture
-def mock_context_with_multiple_uuids() -> tuple[Mock, list[str]]:
-    """Create a mock context with multiple UUIDs via side_effect."""
-    from uuid import UUID
-
-    context = Mock()
-    context.instance_id = "test-instance"
-    context.current_utc_datetime = Mock()
-    uuids = [
-        UUID("aaaaaaaa-aaaa-aaaa-aaaa-aaaaaaaaaaaa"),
-        UUID("bbbbbbbb-bbbb-bbbb-bbbb-bbbbbbbbbbbb"),
-        UUID("cccccccc-cccc-cccc-cccc-cccccccccccc"),
-    ]
-    context.new_uuid = Mock(side_effect=uuids)
-    # Return the hex versions for assertion checking
-    hex_uuids = [uuid.hex for uuid in uuids]
-    return context, hex_uuids
-
-
-@pytest.fixture
-def executor_with_uuid() -> tuple[Any, Mock, str]:
-    """Create an executor with a mocked generate_unique_id method."""
-    from agent_framework_azurefunctions._orchestration import AzureFunctionsAgentExecutor
-
-    context = Mock()
-    context.instance_id = "test-instance"
-    context.current_utc_datetime = Mock()
-
-    executor = AzureFunctionsAgentExecutor(context)
-    test_uuid_hex = "aaaaaaaa-aaaa-aaaa-aaaa-aaaaaaaaaaaa"
-    executor.generate_unique_id = Mock(return_value=test_uuid_hex)  # type: ignore[method-assign]
-
-    return executor, context, test_uuid_hex
-
-
-@pytest.fixture
-def executor_with_multiple_uuids() -> tuple[Any, Mock, list[str]]:
-    """Create an executor with multiple mocked UUIDs."""
-    from agent_framework_azurefunctions._orchestration import AzureFunctionsAgentExecutor
-
-    context = Mock()
-    context.instance_id = "test-instance"
-    context.current_utc_datetime = Mock()
-
-    executor = AzureFunctionsAgentExecutor(context)
-    uuid_hexes = [
-        "aaaaaaaa-aaaa-aaaa-aaaa-aaaaaaaaaaaa",
-        "bbbbbbbb-bbbb-bbbb-bbbb-bbbbbbbbbbbb",
-        "cccccccc-cccc-cccc-cccc-cccccccccccc",
-        "dddddddd-dddd-dddd-dddd-dddddddddddd",
-        "eeeeeeee-eeee-eeee-eeee-eeeeeeeeeeee",
-    ]
-    executor.generate_unique_id = Mock(side_effect=uuid_hexes)  # type: ignore[method-assign]
-
-    return executor, context, uuid_hexes
-
-
-@pytest.fixture
-def executor_with_context(mock_context_with_uuid: tuple[Mock, str]) -> tuple[Any, Mock]:
-    """Create an executor with a mocked context."""
-    from agent_framework_azurefunctions._orchestration import AzureFunctionsAgentExecutor
-
-    context, _ = mock_context_with_uuid
-    return AzureFunctionsAgentExecutor(context), context
-
-
-class TestAgentResponseHelpers:
-    """Tests for response handling through public AgentTask API."""
-
-    def test_try_set_value_exception_handling(self) -> None:
-        """Test try_set_value handles exceptions raised when converting a successful task result to AgentResponse."""
-        entity_task = _create_entity_task()
-        task = AgentTask(entity_task, None, "correlation-id")
-
-        # Simulate successful entity task with invalid result that causes exception
-        entity_task.state = TaskState.SUCCEEDED
-        entity_task.result = {"invalid": "format"}  # Missing required fields for AgentResponse
-
-        # Clear pending_tasks to simulate that parent has processed the child
-        task.pending_tasks.clear()
-
-        # Call try_set_value - should catch exception and set error
-        task.try_set_value(entity_task)
-
-        # Verify task failed due to conversion exception
-        assert task.state == TaskState.FAILED
-        assert isinstance(task.result, Exception)
-
-    def test_try_set_value_success(self) -> None:
-        """Test try_set_value correctly processes successful task completion."""
-        entity_task = _create_entity_task()
-        task = AgentTask(entity_task, None, "correlation-id")
-
-        # Simulate successful entity task completion
-        entity_task.state = TaskState.SUCCEEDED
-        entity_task.result = AgentResponse(messages=[Message(role="assistant", contents=["Test response"])]).to_dict()
-
-        # Clear pending_tasks to simulate that parent has processed the child
-        task.pending_tasks.clear()
-
-        # Call try_set_value
-        task.try_set_value(entity_task)
-
-        # Verify task completed successfully with AgentResponse
-        assert task.state == TaskState.SUCCEEDED
-        assert isinstance(task.result, AgentResponse)
-        assert task.result.text == "Test response"
-
-    def test_try_set_value_failure(self) -> None:
-        """Test try_set_value correctly handles failed task completion."""
-        entity_task = _create_entity_task()
-        task = AgentTask(entity_task, None, "correlation-id")
-
-        # Simulate failed entity task
-        entity_task.state = TaskState.FAILED
-        entity_task.result = Exception("Entity call failed")
-
-        # Call try_set_value
-        task.try_set_value(entity_task)
-
-        # Verify task failed with the error
-        assert task.state == TaskState.FAILED
-        assert isinstance(task.result, Exception)
-        assert str(task.result) == "Entity call failed"
-
-    def test_try_set_value_with_response_format(self) -> None:
-        """Test try_set_value parses structured output when response_format is provided."""
-        from pydantic import BaseModel
-
-        class TestSchema(BaseModel):
-            answer: str
-
-        entity_task = _create_entity_task()
-        task = AgentTask(entity_task, TestSchema, "correlation-id")
-
-        # Simulate successful entity task with JSON response
-        entity_task.state = TaskState.SUCCEEDED
-        entity_task.result = AgentResponse(
-            messages=[Message(role="assistant", contents=['{"answer": "42"}'])]
-        ).to_dict()
-
-        # Clear pending_tasks to simulate that parent has processed the child
-        task.pending_tasks.clear()
-
-        # Call try_set_value
-        task.try_set_value(entity_task)
-
-        # Verify task completed and value was parsed
-        assert task.state == TaskState.SUCCEEDED
-        assert isinstance(task.result, AgentResponse)
-        assert isinstance(task.result.value, TestSchema)
-        assert task.result.value.answer == "42"
-
-
-class TestAgentFunctionAppGetAgent:
-    """Test suite for AgentFunctionApp.get_agent."""
-
-    def test_get_agent_raises_for_unregistered_agent(self) -> None:
-        """Test get_agent raises ValueError when agent is not registered."""
-        app = _app_with_registered_agents("KnownAgent")
-
-        with pytest.raises(ValueError, match=r"Agent 'MissingAgent' is not registered with this app\."):
-            app.get_agent(Mock(), "MissingAgent")
-
-
-class TestAzureFunctionsFireAndForget:
-    """Test fire-and-forget mode for AzureFunctionsAgentExecutor."""
-
-    def test_fire_and_forget_calls_signal_entity(self, executor_with_uuid: tuple[Any, Mock, str]) -> None:
-        """Verify wait_for_response=False calls signal_entity instead of call_entity."""
-        executor, context, _ = executor_with_uuid
-        context.signal_entity = Mock()
-        context.call_entity = Mock(return_value=_create_entity_task())
-
-        agent = DurableAIAgent(executor, "TestAgent")
-        session = agent.create_session()
-
-        # Run with wait_for_response=False
-        result = agent.run("Test message", session=session, options={"wait_for_response": False})
-
-        # Verify signal_entity was called and call_entity was not
-        assert context.signal_entity.call_count == 1
-        assert context.call_entity.call_count == 0
-
-        # Should still return an AgentTask
-        assert isinstance(result, AgentTask)
-
-    def test_fire_and_forget_returns_completed_task(self, executor_with_uuid: tuple[Any, Mock, str]) -> None:
-        """Verify wait_for_response=False returns pre-completed AgentTask."""
-        executor, context, _ = executor_with_uuid
-        context.signal_entity = Mock()
-
-        agent = DurableAIAgent(executor, "TestAgent")
-        session = agent.create_session()
-
-        result = agent.run("Test message", session=session, options={"wait_for_response": False})
-
-        # Task should be immediately complete
-        assert isinstance(result, AgentTask)
-        assert result.is_completed
-
-    def test_fire_and_forget_returns_acceptance_response(self, executor_with_uuid: tuple[Any, Mock, str]) -> None:
-        """Verify wait_for_response=False returns acceptance response."""
-        executor, context, _ = executor_with_uuid
-        context.signal_entity = Mock()
-
-        agent = DurableAIAgent(executor, "TestAgent")
-        session = agent.create_session()
-
-        result = agent.run("Test message", session=session, options={"wait_for_response": False})
-
-        # Get the result
-        response = result.result
-        assert isinstance(response, AgentResponse)
-        assert len(response.messages) == 1
-        assert response.messages[0].role == "system"
-        # Check message contains key information
-        message_text = response.messages[0].text
-        assert "accepted" in message_text.lower()
-        assert "background" in message_text.lower()
-
-    def test_blocking_mode_still_works(self, executor_with_uuid: tuple[Any, Mock, str]) -> None:
-        """Verify wait_for_response=True uses call_entity as before."""
-        executor, context, _ = executor_with_uuid
-        context.signal_entity = Mock()
-        context.call_entity = Mock(return_value=_create_entity_task())
-
-        agent = DurableAIAgent(executor, "TestAgent")
-        session = agent.create_session()
-
-        result = agent.run("Test message", session=session, options={"wait_for_response": True})
-
-        # Verify call_entity was called and signal_entity was not
-        assert context.call_entity.call_count == 1
-        assert context.signal_entity.call_count == 0
-
-        # Should return an AgentTask
-        assert isinstance(result, AgentTask)
-
-
-class TestAzureFunctionsAgentExecutor:
-    """Tests for AzureFunctionsAgentExecutor."""
-
-    def test_generate_unique_id(self, mock_context_with_uuid: tuple[Mock, str]) -> None:
-        """Test generate_unique_id method returns UUID from orchestration context."""
-        from agent_framework_azurefunctions._orchestration import AzureFunctionsAgentExecutor
-
-        context, _ = mock_context_with_uuid
-        executor = AzureFunctionsAgentExecutor(context)
-
-        # Call generate_unique_id
-        unique_id = executor.generate_unique_id()
-
-        # Verify it returns the UUID from context (as string with dashes)
-        # The UUID is returned in standard format with dashes
-        context.new_uuid.assert_called_once()
-        # Just verify it's a string representation of UUID
-        assert isinstance(unique_id, str)
-        assert len(unique_id) > 0
-
-
-class TestOrchestrationIntegration:
-    """Integration tests for orchestration scenarios."""
-
-    def test_sequential_agent_calls_simulation(self, executor_with_multiple_uuids: tuple[Any, Mock, list[str]]) -> None:
-        """Simulate sequential agent calls in an orchestration."""
-        executor, context, uuid_hexes = executor_with_multiple_uuids
-
-        # Track entity calls
-        entity_calls: list[dict[str, Any]] = []
-
-        def mock_call_entity_side_effect(entity_id: Any, operation: str, input_data: dict[str, Any]) -> TaskBase:
-            entity_calls.append({"entity_id": str(entity_id), "operation": operation, "input": input_data})
-            return _create_entity_task()
-
-        context.call_entity = Mock(side_effect=mock_call_entity_side_effect)
-
-        # Create agent directly with executor (not via app.get_agent)
-        agent = DurableAIAgent(executor, "WriterAgent")
-
-        # Create session
-        session = agent.create_session()
-
-        # First call - returns AgentTask
-        task1 = agent.run("Write something", session=session)
-        assert isinstance(task1, AgentTask)
-
-        # Second call - returns AgentTask
-        task2 = agent.run("Improve: something", session=session)
-        assert isinstance(task2, AgentTask)
-
-        # Verify both calls used the same entity (same session key)
-        assert len(entity_calls) == 2
-        assert entity_calls[0]["entity_id"] == entity_calls[1]["entity_id"]
-        # EntityId format is @dafx-writeragent@<uuid_hex>
-        expected_entity_id = f"@dafx-writeragent@{uuid_hexes[0]}"
-        assert entity_calls[0]["entity_id"] == expected_entity_id
-        # generate_unique_id called 3 times: session + 2 correlation IDs
-        assert executor.generate_unique_id.call_count == 3
-
-    def test_multiple_agents_in_orchestration(self, executor_with_multiple_uuids: tuple[Any, Mock, list[str]]) -> None:
-        """Test using multiple different agents in one orchestration."""
-        executor, context, uuid_hexes = executor_with_multiple_uuids
-
-        entity_calls: list[str] = []
-
-        def mock_call_entity_side_effect(entity_id: Any, operation: str, input_data: dict[str, Any]) -> TaskBase:
-            entity_calls.append(str(entity_id))
-            return _create_entity_task()
-
-        context.call_entity = Mock(side_effect=mock_call_entity_side_effect)
-
-        # Create agents directly with executor (not via app.get_agent)
-        writer = DurableAIAgent(executor, "WriterAgent")
-        editor = DurableAIAgent(executor, "EditorAgent")
-
-        writer_session = writer.create_session()
-        editor_session = editor.create_session()
-
-        # Call both agents - returns AgentTasks
-        writer_task = writer.run("Write", session=writer_session)
-        editor_task = editor.run("Edit", session=editor_session)
-
-        assert isinstance(writer_task, AgentTask)
-        assert isinstance(editor_task, AgentTask)
-
-        # Verify different entity IDs were used
-        assert len(entity_calls) == 2
-        # EntityId format is @dafx-agentname@uuid_hex (lowercased agent name with dafx- prefix)
-        expected_writer_id = f"@dafx-writeragent@{uuid_hexes[0]}"
-        expected_editor_id = f"@dafx-editoragent@{uuid_hexes[1]}"
-        assert entity_calls[0] == expected_writer_id
-        assert entity_calls[1] == expected_editor_id
-
-
-if __name__ == "__main__":
-    pytest.main([__file__, "-v", "--tb=short"])
diff --git a/python/packages/azurefunctions/uv.lock b/python/packages/azurefunctions/uv.lock
new file mode 100644
index 0000000..799e61c
--- /dev/null
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diff --git a/python/packages/durabletask/agent_framework_durabletask/__init__.py b/python/packages/durabletask/agent_framework_durabletask/__init__.py
index a3e2727..63d4998 100644
--- a/python/packages/durabletask/agent_framework_durabletask/__init__.py
+++ b/python/packages/durabletask/agent_framework_durabletask/__init__.py
@@ -48,8 +48,8 @@
     DurableAgentStateUsage,
     DurableAgentStateUsageContent,
 )
-from ._entities import AgentEntity, AgentEntityStateProviderMixin
-from ._executors import DurableAgentExecutor
+from ._entities import AgentEntity, AgentEntityStateProviderMixin, create_agent_entity_class
+from ._executors import DurableAgentExecutor, DurableAgentTask, OrchestrationAgentExecutor
 from ._models import AgentSessionId, DurableAgentSession, RunRequest
 from ._orchestration_context import DurableAIAgentOrchestrationContext
 from ._response_utils import ensure_response_format, load_agent_response
@@ -159,14 +159,17 @@ def __dir__() -> list[str]:
     "DurableAgentStateUriContent",
     "DurableAgentStateUsage",
     "DurableAgentStateUsageContent",
+    "DurableAgentTask",
     "DurableStateFields",
     "DurableTaskWorkflowContext",
     "DurableWorkflowClient",
+    "OrchestrationAgentExecutor",
     "RunRequest",
     "WorkflowOrchestrationContext",
     "WorkflowRegistrationPlan",
     "__version__",
     "collect_hosted_workflows",
+    "create_agent_entity_class",
     "deserialize_workflow_output",
     "ensure_response_format",
     "execute_workflow_activity",
diff --git a/python/packages/durabletask/agent_framework_durabletask/_entities.py b/python/packages/durabletask/agent_framework_durabletask/_entities.py
index 63f7098..0509a4a 100644
--- a/python/packages/durabletask/agent_framework_durabletask/_entities.py
+++ b/python/packages/durabletask/agent_framework_durabletask/_entities.py
@@ -20,6 +20,7 @@
 )
 from durabletask.entities import DurableEntity
 
+from ._async_bridge import run_agent_coroutine
 from ._callbacks import AgentCallbackContext, AgentResponseCallbackProtocol
 from ._durable_agent_state import (
     DurableAgentState,
@@ -372,3 +373,74 @@ def _set_state_dict(self, state: dict[str, Any]) -> None:
 
     def _get_session_id_from_entity(self) -> str:
         return self.entity_context.entity_id.key
+
+
+def create_agent_entity_class(
+    agent: SupportsAgentRun,
+    callback: AgentResponseCallbackProtocol | None = None,
+    *,
+    entity_id: str | None = None,
+) -> type[DurableTaskEntityStateProvider]:
+    """Build a ``DurableEntity`` subclass bound to a specific agent instance.
+
+    Both hosts register the same entity implementation: the standalone DurableTask
+    worker passes the class to ``TaskHubGrpcWorker.add_entity``, and the Azure
+    Functions host passes it to ``DFApp.entity_trigger`` (2.x accepts a class-based
+    ``DurableEntity`` as well as a function).
+
+    Args:
+        agent: The agent instance to wrap.
+        callback: Optional callback invoked for streaming and final responses.
+        entity_id: Optional identity to register the entity under instead of
+            ``agent.name``. Workflow hosting passes the executor's ``id`` so the
+            entity matches the identity the orchestrator dispatches to.
+
+    Returns:
+        A new ``DurableTaskEntityStateProvider`` subclass configured for this agent,
+        named ``dafx-{agent_name}``.
+    """
+    agent_name = entity_id or agent.name or type(agent).__name__
+    entity_name = f"dafx-{agent_name}"
+
+    class ConfiguredAgentEntity(DurableTaskEntityStateProvider):
+        """Durable entity configured with a specific agent instance."""
+
+        def __init__(self) -> None:
+            super().__init__()
+            self._agent_entity = AgentEntity(
+                agent=agent,
+                callback=callback,
+                state_provider=self,
+            )
+            logger.debug(
+                "[ConfiguredAgentEntity] Initialized entity for agent: %s (entity name: %s)",
+                agent_name,
+                entity_name,
+            )
+
+        def run(self, request: Any) -> Any:
+            """Handle run requests from clients or orchestrations.
+
+            Args:
+                request: RunRequest as dict or string
+
+            Returns:
+                AgentResponse as dict
+            """
+            logger.debug("[ConfiguredAgentEntity.run] Executing agent: %s", agent_name)
+            # Run on the shared persistent loop so async resources created by
+            # shared agent clients/credentials stay bound to a live loop across
+            # successive entity invocations (avoids cross-loop hangs).
+            response = run_agent_coroutine(self._agent_entity.run(request))
+            return response.to_dict()
+
+        def reset(self) -> None:
+            """Reset the agent's conversation history."""
+            logger.debug("[ConfiguredAgentEntity.reset] Resetting agent: %s", agent_name)
+            self._agent_entity.reset()
+
+    # The runtime derives the registered entity name from the class name.
+    ConfiguredAgentEntity.__name__ = entity_name
+    ConfiguredAgentEntity.__qualname__ = entity_name
+
+    return ConfiguredAgentEntity
diff --git a/python/packages/durabletask/agent_framework_durabletask/_worker.py b/python/packages/durabletask/agent_framework_durabletask/_worker.py
index 3eed81f..5e92ad3 100644
--- a/python/packages/durabletask/agent_framework_durabletask/_worker.py
+++ b/python/packages/durabletask/agent_framework_durabletask/_worker.py
@@ -16,9 +16,8 @@
 from durabletask.task import ActivityContext, OrchestrationContext
 from durabletask.worker import TaskHubGrpcWorker
 
-from ._async_bridge import run_agent_coroutine
 from ._callbacks import AgentResponseCallbackProtocol
-from ._entities import AgentEntity, DurableTaskEntityStateProvider
+from ._entities import create_agent_entity_class
 from ._workflows.activity import execute_workflow_activity
 from ._workflows.dt_context import DurableTaskWorkflowContext
 from ._workflows.naming import (
@@ -137,7 +136,7 @@ def add_agent(
         effective_callback = callback or self._callback
 
         # Create a configured entity class using the factory
-        entity_class = self.__create_agent_entity(agent, effective_callback, entity_id=registration_name)
+        entity_class = create_agent_entity_class(agent, effective_callback, entity_id=registration_name)
 
         # Register the entity class with the worker
         # The worker.add_entity method takes a class
@@ -349,73 +348,3 @@ def workflow_orchestrator(context: OrchestrationContext, input_data: Any) -> Any
 
         self._worker.add_orchestrator(workflow_orchestrator)
         logger.debug("[DurableAIAgentWorker] Registered workflow orchestrator: %s", orchestrator_name)
-
-    def __create_agent_entity(
-        self,
-        agent: SupportsAgentRun,
-        callback: AgentResponseCallbackProtocol | None = None,
-        *,
-        entity_id: str | None = None,
-    ) -> type[DurableTaskEntityStateProvider]:
-        """Factory function to create a DurableEntity class configured with an agent.
-
-        This factory creates a new class that combines the entity state provider
-        with the agent execution logic. Each agent gets its own entity class.
-
-        Args:
-            agent: The agent instance to wrap
-            callback: Optional callback for agent responses
-            entity_id: Optional identity to register the entity under instead of
-                ``agent.name`` (used by workflow hosting to key entities by
-                executor id).
-
-        Returns:
-            A new DurableEntity subclass configured for this agent
-        """
-        agent_name = entity_id or agent.name or type(agent).__name__
-        entity_name = f"dafx-{agent_name}"
-
-        class ConfiguredAgentEntity(DurableTaskEntityStateProvider):
-            """Durable entity configured with a specific agent instance."""
-
-            def __init__(self) -> None:
-                super().__init__()
-                # Create the AgentEntity with this state provider
-                self._agent_entity = AgentEntity(
-                    agent=agent,
-                    callback=callback,
-                    state_provider=self,
-                )
-                logger.debug(
-                    "[ConfiguredAgentEntity] Initialized entity for agent: %s (entity name: %s)",
-                    agent_name,
-                    entity_name,
-                )
-
-            def run(self, request: Any) -> Any:
-                """Handle run requests from clients or orchestrations.
-
-                Args:
-                    request: RunRequest as dict or string
-
-                Returns:
-                    AgentResponse as dict
-                """
-                logger.debug("[ConfiguredAgentEntity.run] Executing agent: %s", agent_name)
-                # Run on the shared persistent loop so async resources created by
-                # shared agent clients/credentials stay bound to a live loop across
-                # successive entity invocations (avoids cross-loop hangs).
-                response = run_agent_coroutine(self._agent_entity.run(request))
-                return response.to_dict()
-
-            def reset(self) -> None:
-                """Reset the agent's conversation history."""
-                logger.debug("[ConfiguredAgentEntity.reset] Resetting agent: %s", agent_name)
-                self._agent_entity.reset()
-
-        # Set the entity name to match the prefixed agent name
-        # This is used by durabletask to register the entity
-        ConfiguredAgentEntity.__name__ = entity_name
-        ConfiguredAgentEntity.__qualname__ = entity_name
-
-        return ConfiguredAgentEntity
diff --git a/python/packages/durabletask/agent_framework_durabletask/_workflows/dt_context.py b/python/packages/durabletask/agent_framework_durabletask/_workflows/dt_context.py
index 7388a0a..ca0ff2a 100644
--- a/python/packages/durabletask/agent_framework_durabletask/_workflows/dt_context.py
+++ b/python/packages/durabletask/agent_framework_durabletask/_workflows/dt_context.py
@@ -30,9 +30,26 @@
 class DurableTaskWorkflowContext:
     """Adapter that maps ``OrchestrationContext`` to :class:`WorkflowOrchestrationContext`."""
 
-    def __init__(self, context: OrchestrationContext) -> None:
+    def __init__(
+        self,
+        context: OrchestrationContext,
+        *,
+        supports_event_streaming: bool = True,
+    ) -> None:
+        """Wrap a durabletask orchestration context.
+
+        Args:
+            context: The durabletask orchestration context to adapt.
+            supports_event_streaming: Whether the host can publish the accumulating
+                workflow event log. Defaults to ``True`` for the standalone
+                DurableTask host. Azure Functions passes ``False`` because the
+                Durable Functions custom status is capped at 16 KB by the WebJobs
+                extension, and publishing the event log would overflow that cap and
+                fail the orchestrator.
+        """
         self._context = context
         self._executor = OrchestrationAgentExecutor(context)
+        self._supports_event_streaming = supports_event_streaming
 
     # -- Properties -----------------------------------------------------------
 
@@ -46,10 +63,11 @@ def is_replaying(self) -> bool:
 
     @property
     def supports_event_streaming(self) -> bool:
-        # The standalone DurableTask host exposes the event timeline to clients via
-        # DurableWorkflowClient.stream_workflow, and its DTS backend imposes no 16 KB
-        # custom-status cap, so the full accumulated event stream is published.
-        return True
+        # Host-dependent; see the constructor docstring. The standalone DurableTask
+        # host exposes the event timeline to clients via
+        # DurableWorkflowClient.stream_workflow, and its DTS backend imposes no
+        # 16 KB custom-status cap, so the full event stream is published there.
+        return self._supports_event_streaming
 
     @property
     def current_utc_datetime(self) -> datetime:
diff --git a/python/packages/durabletask/pyproject.toml b/python/packages/durabletask/pyproject.toml
index f937c6b..edf3886 100644
--- a/python/packages/durabletask/pyproject.toml
+++ b/python/packages/durabletask/pyproject.toml
@@ -23,7 +23,8 @@ classifiers = [
 ]
 dependencies = [
     "agent-framework-core>=1.11.0,<2",
-    "durabletask>=1.5.0,<2",
+    # 1.9.0 is the floor required by azure-functions-durable 2.x.
+    "durabletask>=1.9.0,<2",
     "durabletask-azuremanaged>=1.4.0,<2",
     "python-dateutil>=2.8.0,<3",
 ]
diff --git a/python/pyproject.toml b/python/pyproject.toml
index 3aba926..8e71bae 100644
--- a/python/pyproject.toml
+++ b/python/pyproject.toml
@@ -69,11 +69,17 @@ environments = [
 ]
 
 [tool.uv.workspace]
-members = ["packages/durabletask", "packages/azurefunctions"]
+# agent-framework-azurefunctions is deliberately NOT a member. It depends on
+# azure-functions-durable 2.x, which requires Python >=3.13, and uv resolves a
+# workspace to a single lock over the intersection of its members'
+# requires-python. Keeping it here would drag this workspace (and therefore
+# agent-framework-durabletask, which supports >=3.10 and needs no part of Azure
+# Functions) up to 3.13. It is a standalone uv project under
+# packages/azurefunctions with its own lockfile.
+members = ["packages/durabletask"]
 
 [tool.uv.sources]
 agent-framework-durabletask = { workspace = true }
-agent-framework-azurefunctions = { workspace = true }
 
 [tool.ruff]
 line-length = 120
diff --git a/python/samples/azure_functions/01_single_agent/host.json b/python/samples/azure_functions/01_single_agent/host.json
index 9e7fd87..39efafc 100644
--- a/python/samples/azure_functions/01_single_agent/host.json
+++ b/python/samples/azure_functions/01_single_agent/host.json
@@ -1,12 +1,15 @@
 {
   "version": "2.0",
   "extensionBundle": {
-    "id": "Microsoft.Azure.Functions.ExtensionBundle",
+    "id": "Microsoft.Azure.Functions.ExtensionBundle.Preview",
     "version": "[4.*, 5.0.0)"
   },
   "extensions": {
     "durableTask": {
-      "hubName": "%TASKHUB_NAME%"
+      "hubName": "%TASKHUB_NAME%",
+      "storageProvider": {
+        "type": "AzureStorage"
+      }
     }
   }
 }
diff --git a/python/samples/azure_functions/02_multi_agent/host.json b/python/samples/azure_functions/02_multi_agent/host.json
index 7efcaa1..ab777de 100644
--- a/python/samples/azure_functions/02_multi_agent/host.json
+++ b/python/samples/azure_functions/02_multi_agent/host.json
@@ -9,12 +9,15 @@
     }
   },
   "extensionBundle": {
-    "id": "Microsoft.Azure.Functions.ExtensionBundle",
+    "id": "Microsoft.Azure.Functions.ExtensionBundle.Preview",
     "version": "[4.*, 5.0.0)"
   },
   "extensions": {
     "durableTask": {
-      "hubName": "%TASKHUB_NAME%"
+      "hubName": "%TASKHUB_NAME%",
+      "storageProvider": {
+        "type": "AzureStorage"
+      }
     }
   }
 }
diff --git a/python/samples/azure_functions/03_reliable_streaming/host.json b/python/samples/azure_functions/03_reliable_streaming/host.json
index 7efcaa1..ab777de 100644
--- a/python/samples/azure_functions/03_reliable_streaming/host.json
+++ b/python/samples/azure_functions/03_reliable_streaming/host.json
@@ -9,12 +9,15 @@
     }
   },
   "extensionBundle": {
-    "id": "Microsoft.Azure.Functions.ExtensionBundle",
+    "id": "Microsoft.Azure.Functions.ExtensionBundle.Preview",
     "version": "[4.*, 5.0.0)"
   },
   "extensions": {
     "durableTask": {
-      "hubName": "%TASKHUB_NAME%"
+      "hubName": "%TASKHUB_NAME%",
+      "storageProvider": {
+        "type": "AzureStorage"
+      }
     }
   }
 }
diff --git a/python/samples/azure_functions/04_single_agent_orchestration_chaining/function_app.py b/python/samples/azure_functions/04_single_agent_orchestration_chaining/function_app.py
index 6b80272..74b3398 100644
--- a/python/samples/azure_functions/04_single_agent_orchestration_chaining/function_app.py
+++ b/python/samples/azure_functions/04_single_agent_orchestration_chaining/function_app.py
@@ -19,9 +19,10 @@
 import azure.functions as func
 from agent_framework import Agent
 from agent_framework.foundry import FoundryChatClient
-from agent_framework_azurefunctions import AgentFunctionApp
-from azure.durable_functions import DurableOrchestrationClient, DurableOrchestrationContext
+from agent_framework_azurefunctions import AgentFunctionApp, runtime_status_name
+from azure.durable_functions import DurableFunctionsClient
 from azure.identity.aio import AzureCliCredential
+from durabletask.task import OrchestrationContext
 
 logger = logging.getLogger(__name__)
 
@@ -54,8 +55,9 @@ def _create_writer_agent() -> Any:
 
 
 # 4. Orchestration that runs the agent sequentially on a shared session for chaining behaviour.
+# Orchestrators take (context, input) since azure-functions-durable 2.x. This one needs no input.
 @app.orchestration_trigger(context_name="context")
-def single_agent_orchestration(context: DurableOrchestrationContext) -> Generator[Any, Any, str]:
+def single_agent_orchestration(context: OrchestrationContext, _input: Any) -> Generator[Any, Any, str]:
     """Run the writer agent twice on the same session to mirror chaining behaviour."""
 
     writer = app.get_agent(context, WRITER_AGENT_NAME)
@@ -81,13 +83,11 @@ def single_agent_orchestration(context: DurableOrchestrationContext) -> Generato
 @app.durable_client_input(client_name="client")
 async def start_single_agent_orchestration(
     req: func.HttpRequest,
-    client: DurableOrchestrationClient,
+    client: DurableFunctionsClient,
 ) -> func.HttpResponse:
     """Start the orchestration and return status metadata."""
 
-    instance_id = await client.start_new(
-        orchestration_function_name="single_agent_orchestration",
-    )
+    instance_id = await client.schedule_new_orchestration("single_agent_orchestration")
 
     logger.info("[HTTP] Started orchestration with instance_id: %s", instance_id)
 
@@ -111,7 +111,7 @@ async def start_single_agent_orchestration(
 @app.durable_client_input(client_name="client")
 async def get_orchestration_status(
     req: func.HttpRequest,
-    client: DurableOrchestrationClient,
+    client: DurableFunctionsClient,
 ) -> func.HttpResponse:
     """Return orchestration runtime status."""
 
@@ -123,18 +123,26 @@ async def get_orchestration_status(
             mimetype="application/json",
         )
 
-    status = await client.get_status(instance_id)
+    status = await client.get_orchestration_state(instance_id)
+    if status is None:
+        return func.HttpResponse(
+            body=json.dumps({"error": f"No orchestration found for instance '{instance_id}'"}),
+            status_code=404,
+            mimetype="application/json",
+        )
 
     response_data: dict[str, Any] = {
         "instanceId": status.instance_id,
-        "runtimeStatus": status.runtime_status.name if status.runtime_status else None,
+        "runtimeStatus": runtime_status_name(status.runtime_status),
     }
 
-    if status.input_ is not None:
-        response_data["input"] = status.input_
+    orchestration_input = status.get_input()
+    if orchestration_input is not None:
+        response_data["input"] = orchestration_input
 
-    if status.output is not None:
-        response_data["output"] = status.output
+    output = status.get_output()
+    if output is not None:
+        response_data["output"] = output
 
     return func.HttpResponse(
         body=json.dumps(response_data),
diff --git a/python/samples/azure_functions/04_single_agent_orchestration_chaining/host.json b/python/samples/azure_functions/04_single_agent_orchestration_chaining/host.json
index 9e7fd87..39efafc 100644
--- a/python/samples/azure_functions/04_single_agent_orchestration_chaining/host.json
+++ b/python/samples/azure_functions/04_single_agent_orchestration_chaining/host.json
@@ -1,12 +1,15 @@
 {
   "version": "2.0",
   "extensionBundle": {
-    "id": "Microsoft.Azure.Functions.ExtensionBundle",
+    "id": "Microsoft.Azure.Functions.ExtensionBundle.Preview",
     "version": "[4.*, 5.0.0)"
   },
   "extensions": {
     "durableTask": {
-      "hubName": "%TASKHUB_NAME%"
+      "hubName": "%TASKHUB_NAME%",
+      "storageProvider": {
+        "type": "AzureStorage"
+      }
     }
   }
 }
diff --git a/python/samples/azure_functions/05_multi_agent_orchestration_concurrency/function_app.py b/python/samples/azure_functions/05_multi_agent_orchestration_concurrency/function_app.py
index 077ad90..8307f78 100644
--- a/python/samples/azure_functions/05_multi_agent_orchestration_concurrency/function_app.py
+++ b/python/samples/azure_functions/05_multi_agent_orchestration_concurrency/function_app.py
@@ -19,10 +19,11 @@
 import azure.functions as func
 from agent_framework import Agent, AgentResponse
 from agent_framework.foundry import FoundryChatClient
-from agent_framework_azurefunctions import AgentFunctionApp
-from azure.durable_functions import DurableOrchestrationClient, DurableOrchestrationContext
+from agent_framework_azurefunctions import AgentFunctionApp, runtime_status_name
+from azure.durable_functions import DurableFunctionsClient
 from azure.identity.aio import AzureCliCredential
 from dotenv import load_dotenv
+from durabletask.task import OrchestrationContext, when_all
 
 # Load environment variables from .env file
 load_dotenv()
@@ -67,10 +68,13 @@ def _create_agents() -> list[Any]:
 
 
 # 4. Durable Functions orchestration that runs both agents in parallel.
+# Orchestrators take (context, input) since azure-functions-durable 2.x, so the prompt
+# arrives as the second argument instead of via a context lookup.
 @app.orchestration_trigger(context_name="context")
-def multi_agent_concurrent_orchestration(context: DurableOrchestrationContext) -> Generator[Any, Any, dict[str, str]]:
+def multi_agent_concurrent_orchestration(
+    context: OrchestrationContext, prompt: Any
+) -> Generator[Any, Any, dict[str, str]]:
     """Fan out to two domain-specific agents and aggregate their responses."""
-    prompt = context.get_input()
     if not prompt or not str(prompt).strip():
         raise ValueError("Prompt is required")
 
@@ -84,8 +88,8 @@ def multi_agent_concurrent_orchestration(context: DurableOrchestrationContext) -
     physicist_task = physicist.run(messages=str(prompt), session=physicist_session)
     chemist_task = chemist.run(messages=str(prompt), session=chemist_session)
 
-    # Execute both tasks concurrently using task_all
-    task_results = yield context.task_all([physicist_task, chemist_task])
+    # Execute both tasks concurrently using when_all
+    task_results = yield when_all([physicist_task, chemist_task])
 
     physicist_result = cast(AgentResponse, task_results[0])
     chemist_result = cast(AgentResponse, task_results[1])
@@ -101,7 +105,7 @@ def multi_agent_concurrent_orchestration(context: DurableOrchestrationContext) -
 @app.durable_client_input(client_name="client")
 async def start_multi_agent_concurrent_orchestration(
     req: func.HttpRequest,
-    client: DurableOrchestrationClient,
+    client: DurableFunctionsClient,
 ) -> func.HttpResponse:
     """Kick off the orchestration with a plain text prompt."""
 
@@ -114,9 +118,9 @@ async def start_multi_agent_concurrent_orchestration(
             mimetype="application/json",
         )
 
-    instance_id = await client.start_new(
-        orchestration_function_name="multi_agent_concurrent_orchestration",
-        client_input=prompt,
+    instance_id = await client.schedule_new_orchestration(
+        "multi_agent_concurrent_orchestration",
+        input=prompt,
     )
 
     logger.info("[HTTP] Started orchestration with instance_id: %s", instance_id)
@@ -142,7 +146,7 @@ async def start_multi_agent_concurrent_orchestration(
 @app.durable_client_input(client_name="client")
 async def get_orchestration_status(
     req: func.HttpRequest,
-    client: DurableOrchestrationClient,
+    client: DurableFunctionsClient,
 ) -> func.HttpResponse:
     instance_id = req.route_params.get("instanceId")
     if not instance_id:
@@ -152,20 +156,28 @@ async def get_orchestration_status(
             mimetype="application/json",
         )
 
-    status = await client.get_status(instance_id)
+    status = await client.get_orchestration_state(instance_id)
+    if status is None:
+        return func.HttpResponse(
+            body=json.dumps({"error": f"No orchestration found for instance '{instance_id}'"}),
+            status_code=404,
+            mimetype="application/json",
+        )
 
     response_data: dict[str, Any] = {
         "instanceId": status.instance_id,
-        "runtimeStatus": status.runtime_status.name if status.runtime_status else None,
-        "createdTime": status.created_time.isoformat() if status.created_time else None,
-        "lastUpdatedTime": status.last_updated_time.isoformat() if status.last_updated_time else None,
+        "runtimeStatus": runtime_status_name(status.runtime_status),
+        "createdTime": status.created_at.isoformat() if status.created_at else None,
+        "lastUpdatedTime": status.last_updated_at.isoformat() if status.last_updated_at else None,
     }
 
-    if status.input_ is not None:
-        response_data["input"] = status.input_
+    orchestration_input = status.get_input()
+    if orchestration_input is not None:
+        response_data["input"] = orchestration_input
 
-    if status.output is not None:
-        response_data["output"] = status.output
+    output = status.get_output()
+    if output is not None:
+        response_data["output"] = output
 
     return func.HttpResponse(
         body=json.dumps(response_data),
diff --git a/python/samples/azure_functions/05_multi_agent_orchestration_concurrency/host.json b/python/samples/azure_functions/05_multi_agent_orchestration_concurrency/host.json
index 9e7fd87..39efafc 100644
--- a/python/samples/azure_functions/05_multi_agent_orchestration_concurrency/host.json
+++ b/python/samples/azure_functions/05_multi_agent_orchestration_concurrency/host.json
@@ -1,12 +1,15 @@
 {
   "version": "2.0",
   "extensionBundle": {
-    "id": "Microsoft.Azure.Functions.ExtensionBundle",
+    "id": "Microsoft.Azure.Functions.ExtensionBundle.Preview",
     "version": "[4.*, 5.0.0)"
   },
   "extensions": {
     "durableTask": {
-      "hubName": "%TASKHUB_NAME%"
+      "hubName": "%TASKHUB_NAME%",
+      "storageProvider": {
+        "type": "AzureStorage"
+      }
     }
   }
 }
diff --git a/python/samples/azure_functions/06_multi_agent_orchestration_conditionals/function_app.py b/python/samples/azure_functions/06_multi_agent_orchestration_conditionals/function_app.py
index b1b5961..a4c336c 100644
--- a/python/samples/azure_functions/06_multi_agent_orchestration_conditionals/function_app.py
+++ b/python/samples/azure_functions/06_multi_agent_orchestration_conditionals/function_app.py
@@ -19,9 +19,10 @@
 import azure.functions as func
 from agent_framework import Agent
 from agent_framework.foundry import FoundryChatClient
-from agent_framework_azurefunctions import AgentFunctionApp
-from azure.durable_functions import DurableOrchestrationClient, DurableOrchestrationContext
+from agent_framework_azurefunctions import AgentFunctionApp, runtime_status_name
+from azure.durable_functions import DurableFunctionsClient
 from azure.identity.aio import AzureCliCredential
+from durabletask.task import OrchestrationContext
 from pydantic import BaseModel, ValidationError
 
 logger = logging.getLogger(__name__)
@@ -83,9 +84,10 @@ def send_email(message: str) -> str:
 
 
 # 4. Orchestration validates input, runs agents, and branches on spam results.
+# Orchestrators take (context, input) since azure-functions-durable 2.x, so the email
+# payload arrives as the second argument instead of via a context lookup.
 @app.orchestration_trigger(context_name="context")
-def spam_detection_orchestration(context: DurableOrchestrationContext) -> Generator[Any, Any, str]:
-    payload_raw = context.get_input()
+def spam_detection_orchestration(context: OrchestrationContext, payload_raw: Any) -> Generator[Any, Any, str]:
     if not isinstance(payload_raw, Mapping):
         raise ValueError("Email data is required")
 
@@ -118,7 +120,7 @@ def spam_detection_orchestration(context: DurableOrchestrationContext) -> Genera
         raise ValueError("Failed to parse spam detection result") from ex
 
     if spam_result.is_spam:
-        result = yield context.call_activity("handle_spam_email", spam_result.reason)  # type: ignore[misc]
+        result = yield context.call_activity("handle_spam_email", input=spam_result.reason)  # type: ignore[misc]
         return result  # noqa: B901 - Durable orchestrators return their final output.
 
     email_session = email_agent.create_session()
@@ -141,7 +143,7 @@ def spam_detection_orchestration(context: DurableOrchestrationContext) -> Genera
     except Exception as ex:
         raise ValueError("Failed to parse email response") from ex
 
-    result = yield context.call_activity("send_email", email_result.response)  # type: ignore[misc]
+    result = yield context.call_activity("send_email", input=email_result.response)  # type: ignore[misc]
     return result  # noqa: B901 - Durable orchestrators return their final output.
 
 
@@ -150,7 +152,7 @@ def spam_detection_orchestration(context: DurableOrchestrationContext) -> Genera
 @app.durable_client_input(client_name="client")
 async def start_spam_detection_orchestration(
     req: func.HttpRequest,
-    client: DurableOrchestrationClient,
+    client: DurableFunctionsClient,
 ) -> func.HttpResponse:
     try:
         body = req.get_json()
@@ -173,9 +175,9 @@ async def start_spam_detection_orchestration(
             mimetype="application/json",
         )
 
-    instance_id = await client.start_new(
-        orchestration_function_name="spam_detection_orchestration",
-        client_input=payload.model_dump(),
+    instance_id = await client.schedule_new_orchestration(
+        "spam_detection_orchestration",
+        input=payload.model_dump(),
     )
 
     logger.info("[HTTP] Started spam detection orchestration with instance_id: %s", instance_id)
@@ -201,7 +203,7 @@ async def start_spam_detection_orchestration(
 @app.durable_client_input(client_name="client")
 async def get_orchestration_status(
     req: func.HttpRequest,
-    client: DurableOrchestrationClient,
+    client: DurableFunctionsClient,
 ) -> func.HttpResponse:
     instance_id = req.route_params.get("instanceId")
     if not instance_id:
@@ -211,20 +213,28 @@ async def get_orchestration_status(
             mimetype="application/json",
         )
 
-    status = await client.get_status(instance_id)
+    status = await client.get_orchestration_state(instance_id)
+    if status is None:
+        return func.HttpResponse(
+            body=json.dumps({"error": f"No orchestration found for instance '{instance_id}'"}),
+            status_code=404,
+            mimetype="application/json",
+        )
 
     response_data: dict[str, Any] = {
         "instanceId": status.instance_id,
-        "runtimeStatus": status.runtime_status.name if status.runtime_status else None,
-        "createdTime": status.created_time.isoformat() if status.created_time else None,
-        "lastUpdatedTime": status.last_updated_time.isoformat() if status.last_updated_time else None,
+        "runtimeStatus": runtime_status_name(status.runtime_status),
+        "createdTime": status.created_at.isoformat() if status.created_at else None,
+        "lastUpdatedTime": status.last_updated_at.isoformat() if status.last_updated_at else None,
     }
 
-    if status.input_ is not None:
-        response_data["input"] = status.input_
+    orchestration_input = status.get_input()
+    if orchestration_input is not None:
+        response_data["input"] = orchestration_input
 
-    if status.output is not None:
-        response_data["output"] = status.output
+    output = status.get_output()
+    if output is not None:
+        response_data["output"] = output
 
     return func.HttpResponse(
         body=json.dumps(response_data),
diff --git a/python/samples/azure_functions/06_multi_agent_orchestration_conditionals/host.json b/python/samples/azure_functions/06_multi_agent_orchestration_conditionals/host.json
index 9e7fd87..39efafc 100644
--- a/python/samples/azure_functions/06_multi_agent_orchestration_conditionals/host.json
+++ b/python/samples/azure_functions/06_multi_agent_orchestration_conditionals/host.json
@@ -1,12 +1,15 @@
 {
   "version": "2.0",
   "extensionBundle": {
-    "id": "Microsoft.Azure.Functions.ExtensionBundle",
+    "id": "Microsoft.Azure.Functions.ExtensionBundle.Preview",
     "version": "[4.*, 5.0.0)"
   },
   "extensions": {
     "durableTask": {
-      "hubName": "%TASKHUB_NAME%"
+      "hubName": "%TASKHUB_NAME%",
+      "storageProvider": {
+        "type": "AzureStorage"
+      }
     }
   }
 }
diff --git a/python/samples/azure_functions/07_single_agent_orchestration_hitl/function_app.py b/python/samples/azure_functions/07_single_agent_orchestration_hitl/function_app.py
index 536f3b6..2db272f 100644
--- a/python/samples/azure_functions/07_single_agent_orchestration_hitl/function_app.py
+++ b/python/samples/azure_functions/07_single_agent_orchestration_hitl/function_app.py
@@ -20,9 +20,10 @@
 import azure.functions as func
 from agent_framework import Agent
 from agent_framework.foundry import FoundryChatClient
-from agent_framework_azurefunctions import AgentFunctionApp
-from azure.durable_functions import DurableOrchestrationClient, DurableOrchestrationContext
+from agent_framework_azurefunctions import AgentFunctionApp, runtime_status_name
+from azure.durable_functions import DurableFunctionsClient
 from azure.identity.aio import AzureCliCredential
+from durabletask.task import OrchestrationContext, when_any
 from pydantic import BaseModel, ValidationError
 
 logger = logging.getLogger(__name__)
@@ -91,9 +92,12 @@ def publish_content(content: dict) -> None:
 
 
 # 4. Orchestration loops until the human approves, times out, or attempts are exhausted.
+# Orchestrators take (context, input) since azure-functions-durable 2.x, so the request
+# payload arrives as the second argument instead of via a context lookup.
 @app.orchestration_trigger(context_name="context")
-def content_generation_hitl_orchestration(context: DurableOrchestrationContext) -> Generator[Any, Any, dict[str, str]]:
-    payload_raw = context.get_input()
+def content_generation_hitl_orchestration(
+    context: OrchestrationContext, payload_raw: Any
+) -> Generator[Any, Any, dict[str, str]]:
     if not isinstance(payload_raw, Mapping):
         raise ValueError("Content generation input is required")
 
@@ -125,14 +129,14 @@ def content_generation_hitl_orchestration(context: DurableOrchestrationContext)
             f"Requesting human feedback. Iteration #{attempt}. Timeout: {payload.approval_timeout_hours} hour(s)."
         )
 
-        yield context.call_activity("notify_user_for_approval", content.model_dump())  # type: ignore[misc]
+        yield context.call_activity("notify_user_for_approval", input=content.model_dump())  # type: ignore[misc]
 
         approval_task = context.wait_for_external_event(HUMAN_APPROVAL_EVENT)
         timeout_task = context.create_timer(
             context.current_utc_datetime + timedelta(hours=payload.approval_timeout_hours)
         )
 
-        winner = yield context.task_any([approval_task, timeout_task])
+        winner = yield when_any([approval_task, timeout_task])
 
         if winner == approval_task:
             timeout_task.cancel()  # type: ignore[attr-defined]  # ty: ignore[unresolved-attribute]
@@ -140,7 +144,7 @@ def content_generation_hitl_orchestration(context: DurableOrchestrationContext)
 
             if approval_payload.approved:
                 context.set_custom_status("Content approved by human reviewer. Publishing content...")
-                yield context.call_activity("publish_content", content.model_dump())  # type: ignore[misc]
+                yield context.call_activity("publish_content", input=content.model_dump())  # type: ignore[misc]
                 context.set_custom_status(
                     f"Content published successfully at {context.current_utc_datetime:%Y-%m-%dT%H:%M:%S}"
                 )
@@ -185,7 +189,7 @@ def content_generation_hitl_orchestration(context: DurableOrchestrationContext)
 @app.durable_client_input(client_name="client")
 async def start_content_generation(
     req: func.HttpRequest,
-    client: DurableOrchestrationClient,
+    client: DurableFunctionsClient,
 ) -> func.HttpResponse:
     try:
         body = req.get_json()
@@ -208,9 +212,9 @@ async def start_content_generation(
             mimetype="application/json",
         )
 
-    instance_id = await client.start_new(
-        orchestration_function_name="content_generation_hitl_orchestration",
-        client_input=payload.model_dump(),
+    instance_id = await client.schedule_new_orchestration(
+        "content_generation_hitl_orchestration",
+        input=payload.model_dump(),
     )
 
     status_url = _build_status_url(req.url, instance_id, route="hitl")
@@ -234,7 +238,7 @@ async def start_content_generation(
 @app.durable_client_input(client_name="client")
 async def send_human_approval(
     req: func.HttpRequest,
-    client: DurableOrchestrationClient,
+    client: DurableFunctionsClient,
 ) -> func.HttpResponse:
     instance_id = req.route_params.get("instanceId")
     if not instance_id:
@@ -265,7 +269,7 @@ async def send_human_approval(
             mimetype="application/json",
         )
 
-    await client.raise_event(instance_id, HUMAN_APPROVAL_EVENT, approval.model_dump())
+    await client.raise_orchestration_event(instance_id, HUMAN_APPROVAL_EVENT, data=approval.model_dump())
 
     payload_json = {
         "message": "Human approval sent to orchestration.",
@@ -285,7 +289,7 @@ async def send_human_approval(
 @app.durable_client_input(client_name="client")
 async def get_orchestration_status(
     req: func.HttpRequest,
-    client: DurableOrchestrationClient,
+    client: DurableFunctionsClient,
 ) -> func.HttpResponse:
     instance_id = req.route_params.get("instanceId")
     if not instance_id:
@@ -295,15 +299,9 @@ async def get_orchestration_status(
             mimetype="application/json",
         )
 
-    status = await client.get_status(
-        instance_id,
-        show_history=False,
-        show_history_output=False,
-        show_input=True,
-    )
+    status = await client.get_orchestration_state(instance_id)
 
-    # Check if status is None or if the instance doesn't exist (runtime_status is None)
-    if getattr(status, "runtime_status", None) is None:
+    if status is None or status.runtime_status is None:
         return func.HttpResponse(
             body=json.dumps({"error": "Instance not found."}),
             status_code=404,
@@ -311,22 +309,21 @@ async def get_orchestration_status(
         )
 
     response_data: dict[str, Any] = {
-        "instanceId": getattr(status, "instance_id", None),
-        "runtimeStatus": getattr(status.runtime_status, "name", None)
-        if getattr(status, "runtime_status", None)
-        else None,
-        "workflowStatus": getattr(status, "custom_status", None),
+        "instanceId": status.instance_id,
+        "runtimeStatus": runtime_status_name(status.runtime_status),
+        "workflowStatus": status.get_custom_status(),
     }
 
-    if getattr(status, "input_", None) is not None:
-        response_data["input"] = status.input_
+    orchestration_input = status.get_input()
+    if orchestration_input is not None:
+        response_data["input"] = orchestration_input
 
-    if getattr(status, "output", None) is not None:
-        response_data["output"] = status.output
+    output = status.get_output()
+    if output is not None:
+        response_data["output"] = output
 
-    failure_details = getattr(status, "failure_details", None)
-    if failure_details is not None:
-        response_data["failureDetails"] = failure_details
+    if status.failure_details is not None:
+        response_data["failureDetails"] = str(status.failure_details)
 
     return func.HttpResponse(
         body=json.dumps(response_data),
diff --git a/python/samples/azure_functions/07_single_agent_orchestration_hitl/host.json b/python/samples/azure_functions/07_single_agent_orchestration_hitl/host.json
index 9e7fd87..39efafc 100644
--- a/python/samples/azure_functions/07_single_agent_orchestration_hitl/host.json
+++ b/python/samples/azure_functions/07_single_agent_orchestration_hitl/host.json
@@ -1,12 +1,15 @@
 {
   "version": "2.0",
   "extensionBundle": {
-    "id": "Microsoft.Azure.Functions.ExtensionBundle",
+    "id": "Microsoft.Azure.Functions.ExtensionBundle.Preview",
     "version": "[4.*, 5.0.0)"
   },
   "extensions": {
     "durableTask": {
-      "hubName": "%TASKHUB_NAME%"
+      "hubName": "%TASKHUB_NAME%",
+      "storageProvider": {
+        "type": "AzureStorage"
+      }
     }
   }
 }
diff --git a/python/samples/azure_functions/08_mcp_server/host.json b/python/samples/azure_functions/08_mcp_server/host.json
index b7e5ad1..679e848 100644
--- a/python/samples/azure_functions/08_mcp_server/host.json
+++ b/python/samples/azure_functions/08_mcp_server/host.json
@@ -1,7 +1,14 @@
 {
   "version": "2.0",
   "extensionBundle": {
-    "id": "Microsoft.Azure.Functions.ExtensionBundle",
+    "id": "Microsoft.Azure.Functions.ExtensionBundle.Preview",
     "version": "[4.*, 5.0.0)"
+  },
+  "extensions": {
+    "durableTask": {
+      "storageProvider": {
+        "type": "AzureStorage"
+      }
+    }
   }
 }
diff --git a/python/samples/azure_functions/09_workflow_shared_state/README.md b/python/samples/azure_functions/09_workflow_shared_state/README.md
index 0c8ec16..dd43354 100644
--- a/python/samples/azure_functions/09_workflow_shared_state/README.md
+++ b/python/samples/azure_functions/09_workflow_shared_state/README.md
@@ -55,7 +55,7 @@ SharedState allows executors to pass large payloads (like email content) by refe
 
 3. Start Azurite:
    ```bash
-   azurite --silent
+   azurite --silent --skipApiVersionCheck
    ```
 
 4. Run the function app:
diff --git a/python/samples/azure_functions/09_workflow_shared_state/host.json b/python/samples/azure_functions/09_workflow_shared_state/host.json
index 9e7fd87..39efafc 100644
--- a/python/samples/azure_functions/09_workflow_shared_state/host.json
+++ b/python/samples/azure_functions/09_workflow_shared_state/host.json
@@ -1,12 +1,15 @@
 {
   "version": "2.0",
   "extensionBundle": {
-    "id": "Microsoft.Azure.Functions.ExtensionBundle",
+    "id": "Microsoft.Azure.Functions.ExtensionBundle.Preview",
     "version": "[4.*, 5.0.0)"
   },
   "extensions": {
     "durableTask": {
-      "hubName": "%TASKHUB_NAME%"
+      "hubName": "%TASKHUB_NAME%",
+      "storageProvider": {
+        "type": "AzureStorage"
+      }
     }
   }
 }
diff --git a/python/samples/azure_functions/10_workflow_no_shared_state/README.md b/python/samples/azure_functions/10_workflow_no_shared_state/README.md
index 0b7e8cf..89f35c8 100644
--- a/python/samples/azure_functions/10_workflow_no_shared_state/README.md
+++ b/python/samples/azure_functions/10_workflow_no_shared_state/README.md
@@ -60,7 +60,7 @@ SpamDetectionAgent → [branch based on is_spam]:
 
 4. Start Azurite:
    ```bash
-   azurite --silent
+   azurite --silent --skipApiVersionCheck
    ```
 
 5. Run the function app:
diff --git a/python/samples/azure_functions/10_workflow_no_shared_state/host.json b/python/samples/azure_functions/10_workflow_no_shared_state/host.json
index 9e7fd87..39efafc 100644
--- a/python/samples/azure_functions/10_workflow_no_shared_state/host.json
+++ b/python/samples/azure_functions/10_workflow_no_shared_state/host.json
@@ -1,12 +1,15 @@
 {
   "version": "2.0",
   "extensionBundle": {
-    "id": "Microsoft.Azure.Functions.ExtensionBundle",
+    "id": "Microsoft.Azure.Functions.ExtensionBundle.Preview",
     "version": "[4.*, 5.0.0)"
   },
   "extensions": {
     "durableTask": {
-      "hubName": "%TASKHUB_NAME%"
+      "hubName": "%TASKHUB_NAME%",
+      "storageProvider": {
+        "type": "AzureStorage"
+      }
     }
   }
 }
diff --git a/python/samples/azure_functions/11_workflow_parallel/README.md b/python/samples/azure_functions/11_workflow_parallel/README.md
index 5ab1d99..41f99de 100644
--- a/python/samples/azure_functions/11_workflow_parallel/README.md
+++ b/python/samples/azure_functions/11_workflow_parallel/README.md
@@ -140,7 +140,7 @@ The sample can run locally without Azure Functions infrastructure using DevUI:
 
 5. Start Azurite (or use VS Code extension):
    ```bash
-   azurite --silent
+   azurite --silent --skipApiVersionCheck
    ```
 
 6. Run the function app (ensure `durable=True` in `function_app.py`):
diff --git a/python/samples/azure_functions/11_workflow_parallel/host.json b/python/samples/azure_functions/11_workflow_parallel/host.json
index 9e7fd87..39efafc 100644
--- a/python/samples/azure_functions/11_workflow_parallel/host.json
+++ b/python/samples/azure_functions/11_workflow_parallel/host.json
@@ -1,12 +1,15 @@
 {
   "version": "2.0",
   "extensionBundle": {
-    "id": "Microsoft.Azure.Functions.ExtensionBundle",
+    "id": "Microsoft.Azure.Functions.ExtensionBundle.Preview",
     "version": "[4.*, 5.0.0)"
   },
   "extensions": {
     "durableTask": {
-      "hubName": "%TASKHUB_NAME%"
+      "hubName": "%TASKHUB_NAME%",
+      "storageProvider": {
+        "type": "AzureStorage"
+      }
     }
   }
 }
diff --git a/python/samples/azure_functions/12_workflow_hitl/README.md b/python/samples/azure_functions/12_workflow_hitl/README.md
index d7fa9ca..dcff4d2 100644
--- a/python/samples/azure_functions/12_workflow_hitl/README.md
+++ b/python/samples/azure_functions/12_workflow_hitl/README.md
@@ -131,7 +131,7 @@ When running on Durable Functions, the HITL pattern maps to:
 3. Start the local emulators:
    ```bash
    # Terminal 1: Start Azurite
-   azurite --silent --location .
+   azurite --silent --location . --skipApiVersionCheck
 
    # Terminal 2: Start Durable Task Scheduler (if using local emulator)
    # Follow Durable Task Scheduler setup instructions
diff --git a/python/samples/azure_functions/12_workflow_hitl/host.json b/python/samples/azure_functions/12_workflow_hitl/host.json
index 9e7fd87..39efafc 100644
--- a/python/samples/azure_functions/12_workflow_hitl/host.json
+++ b/python/samples/azure_functions/12_workflow_hitl/host.json
@@ -1,12 +1,15 @@
 {
   "version": "2.0",
   "extensionBundle": {
-    "id": "Microsoft.Azure.Functions.ExtensionBundle",
+    "id": "Microsoft.Azure.Functions.ExtensionBundle.Preview",
     "version": "[4.*, 5.0.0)"
   },
   "extensions": {
     "durableTask": {
-      "hubName": "%TASKHUB_NAME%"
+      "hubName": "%TASKHUB_NAME%",
+      "storageProvider": {
+        "type": "AzureStorage"
+      }
     }
   }
 }
diff --git a/python/samples/azure_functions/13_subworkflow_hitl/README.md b/python/samples/azure_functions/13_subworkflow_hitl/README.md
index 1cbfb77..4a3956c 100644
--- a/python/samples/azure_functions/13_subworkflow_hitl/README.md
+++ b/python/samples/azure_functions/13_subworkflow_hitl/README.md
@@ -79,7 +79,7 @@ workflow is driven as a child orchestration, not addressed directly.
 
 ## Running
 
-1. Start Azurite: `azurite --silent --location .`
+1. Start Azurite: `azurite --silent --location . --skipApiVersionCheck`
 2. Start the Durable Task Scheduler emulator on `localhost:8080`.
 3. Copy `local.settings.json.sample` to `local.settings.json`.
 4. `func start`
diff --git a/python/samples/azure_functions/13_subworkflow_hitl/function_app.py b/python/samples/azure_functions/13_subworkflow_hitl/function_app.py
index 1b6e0f9..01ce04d 100644
--- a/python/samples/azure_functions/13_subworkflow_hitl/function_app.py
+++ b/python/samples/azure_functions/13_subworkflow_hitl/function_app.py
@@ -33,7 +33,7 @@
 Azurite (no model credentials).
 
 Prerequisites:
-- Start Azurite: ``azurite --silent --location .``
+- Start Azurite: ``azurite --silent --location . --skipApiVersionCheck``
 - Start a Durable Task Scheduler emulator on ``localhost:8080``.
 - Run: ``func start``
 """
diff --git a/python/samples/azure_functions/13_subworkflow_hitl/host.json b/python/samples/azure_functions/13_subworkflow_hitl/host.json
index 9e7fd87..39efafc 100644
--- a/python/samples/azure_functions/13_subworkflow_hitl/host.json
+++ b/python/samples/azure_functions/13_subworkflow_hitl/host.json
@@ -1,12 +1,15 @@
 {
   "version": "2.0",
   "extensionBundle": {
-    "id": "Microsoft.Azure.Functions.ExtensionBundle",
+    "id": "Microsoft.Azure.Functions.ExtensionBundle.Preview",
     "version": "[4.*, 5.0.0)"
   },
   "extensions": {
     "durableTask": {
-      "hubName": "%TASKHUB_NAME%"
+      "hubName": "%TASKHUB_NAME%",
+      "storageProvider": {
+        "type": "AzureStorage"
+      }
     }
   }
 }
diff --git a/python/samples/azure_functions/README.md b/python/samples/azure_functions/README.md
index 0674e06..f88cb02 100644
--- a/python/samples/azure_functions/README.md
+++ b/python/samples/azure_functions/README.md
@@ -73,9 +73,12 @@ Start the Durable Task Scheduler emulator and Azurite before `func start`:
 ```bash
 docker run -d --name dts-emulator -p 8080:8080 -p 8082:8082 \
   mcr.microsoft.com/dts/dts-emulator:latest
-azurite
+azurite --skipApiVersionCheck
 ```
 
+`--skipApiVersionCheck` is required because the preview extension bundle's durable
+extension uses a newer Azure Storage API version than Azurite currently recognises.
+
 The scheduler endpoint is `http://localhost:8080`; its dashboard is available at
 `http://localhost:8082`.
 
diff --git a/python/uv.lock b/python/uv.lock
index f7fff65..eb75ff9 100644
--- a/python/uv.lock
+++ b/python/uv.lock
@@ -4,21 +4,15 @@ requires-python = ">=3.10"
 resolution-markers = [
     "python_full_version >= '3.15' and sys_platform == 'darwin'",
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