Enable model activity and tool activity retries

azure/durable_functions/decorators/durable_app.py

@@ -1,7 +1,7 @@
 #  Copyright (c) Microsoft Corporation. All rights reserved.
 #  Licensed under the MIT License.
 
-
+from azure.durable_functions.models.RetryOptions import RetryOptions
 from .metadata import OrchestrationTrigger, ActivityTrigger, EntityTrigger,\
     DurableClient
 from typing import Callable, Optional
@@ -270,7 +270,15 @@ def _setup_durable_openai_agent(self, model_provider):
             self._create_invoke_model_activity(model_provider)
             self._is_durable_openai_agent_setup = True
 
-    def durable_openai_agent_orchestrator(self, _func=None, *, model_provider=None):
+    def durable_openai_agent_orchestrator(
+        self,
+        _func=None,
+        *,
+        model_provider=None,
+        model_retry_options: Optional[RetryOptions] = RetryOptions(
+            first_retry_interval_in_milliseconds=2000, max_number_of_attempts=5
+        ),
+    ):
         """Decorate Azure Durable Functions orchestrators that use OpenAI Agents.
 
         Parameters
@@ -292,7 +300,9 @@ def generator_wrapper_wrapper(func):
 
             @wraps(func)
             def generator_wrapper(context):
-                return durable_openai_agent_orchestrator_generator(func, context)
+                return durable_openai_agent_orchestrator_generator(
+                    func, context, model_retry_options
+                )
 
             return generator_wrapper
 

azure/durable_functions/openai_agents/context.py

@@ -1,46 +1,41 @@
-import json
 from typing import Any, Callable, Optional
 
 from azure.durable_functions.models.DurableOrchestrationContext import (
     DurableOrchestrationContext,
 )
+from azure.durable_functions.models.RetryOptions import RetryOptions
 
 from agents import RunContextWrapper, Tool
 from agents.function_schema import function_schema
 from agents.tool import FunctionTool
-from .exceptions import YieldException
+from .task_tracker import TaskTracker
 
 
 class DurableAIAgentContext:
     """Context for AI agents running in Azure Durable Functions orchestration."""
 
-    def __init__(self, context: DurableOrchestrationContext):
+    def __init__(
+        self,
+        context: DurableOrchestrationContext,
+        task_tracker: TaskTracker,
+        model_retry_options: Optional[RetryOptions],
+    ):
         self._context = context
-        self._activities_called = 0
-        self._tasks_to_yield = []
-
-    def _get_activity_call_result(self, activity_name, input: str):
-        task = self._context.call_activity(activity_name, input)
-
-        self._activities_called += 1
-
-        histories = self._context.histories
-        completed_tasks = [entry for entry in histories if entry.event_type == 5]
-        if len(completed_tasks) < self._activities_called:
-            # yield immediately
-            raise YieldException(task)
-        else:
-            # yield later
-            self._tasks_to_yield.append(task)
-
-            result_json = completed_tasks[self._activities_called - 1].Result
-            result = json.loads(result_json)
-            return result
+        self._task_tracker = task_tracker
+        self._model_retry_options = model_retry_options
 
     def call_activity(self, activity_name, input: str):
-        """Call an activity function and increment the activity counter."""
+        """Call an activity function and record the activity call."""
         task = self._context.call_activity(activity_name, input)
-        self._activities_called += 1
+        self._task_tracker.record_activity_call()
+        return task
+
+    def call_activity_with_retry(
+        self, activity_name, retry_options: RetryOptions, input: str = None
+    ):
+        """Call an activity function with retry options and record the activity call."""
+        task = self._context.call_activity_with_retry(activity_name, retry_options, input)
+        self._task_tracker.record_activity_call()
         return task
 
     def set_custom_status(self, status: str):
@@ -51,24 +46,22 @@ def wait_for_external_event(self, event_name: str):
         """Wait for an external event in the orchestration."""
         return self._context.wait_for_external_event(event_name)
 
-    def _yield_and_clear_tasks(self):
-        """Yield all accumulated tasks and clear the tasks list."""
-        for task in self._tasks_to_yield:
-            yield task
-        self._tasks_to_yield.clear()
-
     def activity_as_tool(
         self,
         activity_func: Callable,
         *,
         description: Optional[str] = None,
+        retry_options: Optional[RetryOptions] = RetryOptions(
+            first_retry_interval_in_milliseconds=2000, max_number_of_attempts=5
+        ),
     ) -> Tool:
         """Convert an Azure Durable Functions activity to an OpenAI Agents SDK Tool.
 
         Args
         ----
             activity_func: The Azure Functions activity function to convert
             description: Optional description override for the tool
+            retry_options: The retry options for the activity function
 
         Returns
         -------
@@ -78,7 +71,12 @@ def activity_as_tool(
         activity_name = activity_func._function._name
 
         async def run_activity(ctx: RunContextWrapper[Any], input: str) -> Any:
-            result = self._get_activity_call_result(activity_name, input)
+            if retry_options:
+                result = self._task_tracker.get_activity_call_result_with_retry(
+                    activity_name, retry_options, input
+                )
+            else:
+                result = self._task_tracker.get_activity_call_result(activity_name, input)
             return result
 
         schema = function_schema(

azure/durable_functions/openai_agents/model_invocation_activity.py

@@ -4,7 +4,7 @@
 from datetime import timedelta
 from typing import Any, AsyncIterator, Optional, Union, cast
 
-import azure.functions as func
+from azure.durable_functions.models.RetryOptions import RetryOptions
 from pydantic import BaseModel, Field
 from agents import (
     AgentOutputSchema,
@@ -34,7 +34,7 @@
 from openai.types.responses.tool_param import Mcp
 from openai.types.responses.response_prompt_param import ResponsePromptParam
 
-from .context import DurableAIAgentContext
+from .task_tracker import TaskTracker
 
 try:
     from azure.durable_functions import ApplicationError
@@ -283,14 +283,18 @@ def make_tool(tool: ToolInput) -> Tool:
             ) from e
 
 
-class _DurableModelStub(Model):
+class DurableActivityModel(Model):
+    """A model implementation that uses durable activities for model invocations."""
+
     def __init__(
         self,
         model_name: Optional[str],
-        context: DurableAIAgentContext,
+        task_tracker: TaskTracker,
+        retry_options: Optional[RetryOptions],
     ) -> None:
         self.model_name = model_name
-        self.context = context
+        self.task_tracker = task_tracker
+        self.retry_options = retry_options
 
     async def get_response(
         self,
@@ -305,6 +309,7 @@ async def get_response(
         previous_response_id: Optional[str],
         prompt: Optional[ResponsePromptParam],
     ) -> ModelResponse:
+        """Get a response from the model."""
         def make_tool_info(tool: Tool) -> ToolInput:
             if isinstance(
                 tool,
@@ -375,9 +380,17 @@ def make_tool_info(tool: Tool) -> ToolInput:
 
         activity_input_json = activity_input.to_json()
 
-        response = self.context._get_activity_call_result(
-            "invoke_model_activity", activity_input_json
-        )
+        if self.retry_options:
+            response = self.task_tracker.get_activity_call_result_with_retry(
+                "invoke_model_activity",
+                self.retry_options,
+                activity_input_json,
+            )
+        else:
+            response = self.task_tracker.get_activity_call_result(
+                "invoke_model_activity", activity_input_json
+            )
+
         json_response = json.loads(response)
         model_response = ModelResponse(**json_response)
         return model_response
@@ -395,21 +408,5 @@ def stream_response(
         previous_response_id: Optional[str],
         prompt: Optional[ResponsePromptParam],
     ) -> AsyncIterator[TResponseStreamEvent]:
+        """Stream a response from the model."""
         raise NotImplementedError("Durable model doesn't support streams yet")
-
-
-def create_invoke_model_activity(app: func.FunctionApp, model_provider: Optional[ModelProvider]):
-    """Create and register the invoke_model_activity function with the provided FunctionApp."""
-
-    @app.activity_trigger(input_name="input")
-    async def invoke_model_activity(input: str):
-        """Activity that handles OpenAI model invocations."""
-        activity_input = ActivityModelInput.from_json(input)
-
-        model_invoker = ModelInvoker(model_provider=model_provider)
-        result = await model_invoker.invoke_model_activity(activity_input)
-
-        json_obj = ModelResponse.__pydantic_serializer__.to_json(result)
-        return json_obj.decode()
-
-    return invoke_model_activity

azure/durable_functions/openai_agents/orchestrator_generator.py

@@ -1,34 +1,16 @@
-import inspect
-import json
-from typing import Any
+from functools import partial
+from typing import Optional
 from agents import ModelProvider, ModelResponse
 from agents.run import set_default_agent_runner
 from azure.durable_functions.models.DurableOrchestrationContext import DurableOrchestrationContext
-from azure.durable_functions.openai_agents.model_invocation_activity\
-    import ActivityModelInput, ModelInvoker
+from azure.durable_functions.models.RetryOptions import RetryOptions
+from .model_invocation_activity import ActivityModelInput, ModelInvoker
+from .task_tracker import TaskTracker
 from .runner import DurableOpenAIRunner
-from .exceptions import YieldException
 from .context import DurableAIAgentContext
 from .event_loop import ensure_event_loop
 
 
-def _durable_serializer(obj: Any) -> str:
-    # Strings are already "serialized"
-    if type(obj) is str:
-        return obj
-
-    # Serialize "Durable" and OpenAI models, and typed dictionaries
-    if callable(getattr(obj, "to_json", None)):
-        return obj.to_json()
-
-    # Serialize Pydantic models
-    if callable(getattr(obj, "model_dump_json", None)):
-        return obj.model_dump_json()
-
-    # Fallback to default JSON serialization
-    return json.dumps(obj)
-
-
 async def durable_openai_agent_activity(input: str, model_provider: ModelProvider):
     """Activity logic that handles OpenAI model invocations."""
     activity_input = ActivityModelInput.from_json(input)
@@ -42,53 +24,17 @@ async def durable_openai_agent_activity(input: str, model_provider: ModelProvide
 
 def durable_openai_agent_orchestrator_generator(
         func,
-        durable_orchestration_context: DurableOrchestrationContext):
+        durable_orchestration_context: DurableOrchestrationContext,
+        model_retry_options: Optional[RetryOptions],
+):
     """Adapts the synchronous OpenAI Agents function to an Durable orchestrator generator."""
     ensure_event_loop()
-    durable_ai_agent_context = DurableAIAgentContext(durable_orchestration_context)
+    task_tracker = TaskTracker(durable_orchestration_context)
+    durable_ai_agent_context = DurableAIAgentContext(
+        durable_orchestration_context, task_tracker, model_retry_options
+    )
     durable_openai_runner = DurableOpenAIRunner(context=durable_ai_agent_context)
     set_default_agent_runner(durable_openai_runner)
 
-    if inspect.isgeneratorfunction(func):
-        gen = iter(func(durable_ai_agent_context))
-        try:
-            # prime the subiterator
-            value = next(gen)
-            yield from durable_ai_agent_context._yield_and_clear_tasks()
-            while True:
-                try:
-                    # send whatever was sent into us down to the subgenerator
-                    yield from durable_ai_agent_context._yield_and_clear_tasks()
-                    sent = yield value
-                except GeneratorExit:
-                    # ensure the subgenerator is closed
-                    if hasattr(gen, "close"):
-                        gen.close()
-                    raise
-                except BaseException as exc:
-                    # forward thrown exceptions if possible
-                    if hasattr(gen, "throw"):
-                        value = gen.throw(type(exc), exc, exc.__traceback__)
-                    else:
-                        raise
-                else:
-                    # normal path: forward .send (or .__next__)
-                    if hasattr(gen, "send"):
-                        value = gen.send(sent)
-                    else:
-                        value = next(gen)
-        except StopIteration as e:
-            yield from durable_ai_agent_context._yield_and_clear_tasks()
-            return _durable_serializer(e.value)
-        except YieldException as e:
-            yield from durable_ai_agent_context._yield_and_clear_tasks()
-            yield e.task
-    else:
-        try:
-            result = func(durable_ai_agent_context)
-            return _durable_serializer(result)
-        except YieldException as e:
-            yield from durable_ai_agent_context._yield_and_clear_tasks()
-            yield e.task
-        finally:
-            yield from durable_ai_agent_context._yield_and_clear_tasks()
+    func_with_context = partial(func, durable_ai_agent_context)
+    return task_tracker.execute_orchestrator_function(func_with_context)

azure/durable_functions/openai_agents/runner.py

@@ -15,7 +15,7 @@
 from pydantic_core import to_json
 
 from .context import DurableAIAgentContext
-from .model_invocation_activity import _DurableModelStub
+from .model_invocation_activity import DurableActivityModel
 
 logger = logging.getLogger(__name__)
 
@@ -58,9 +58,10 @@ def run_sync(
 
         updated_run_config = replace(
             run_config,
-            model=_DurableModelStub(
+            model=DurableActivityModel(
                 model_name=model_name,
-                context=self.context,
+                task_tracker=self.context._task_tracker,
+                retry_options=self.context._model_retry_options,
             ),
         )