Address comments

python/packages/foundry_hosting/agent_framework_foundry_hosting/_responses.py

@@ -7,8 +7,11 @@ import base64
 import json
 import logging
 import os
+import tempfile
+import threading
 from collections.abc import AsyncIterable, AsyncIterator, Generator, Mapping, Sequence
-from typing import cast
+from contextlib import suppress
+from typing import Protocol, cast
 
 from agent_framework import (
     ChatOptions,
@@ -109,11 +112,105 @@ from typing_extensions import Any
 logger = logging.getLogger(__name__)
 
 
+class ApprovalStorage(Protocol):
+    """Storage for saving function approval requests."""
+
+    async def save_approval_request(self, approval_request_id: str, request: Content) -> None:
+        """Save a function approval request under the given ID."""
+        ...
+
+    async def load_approval_request(self, approval_request_id: str) -> Content:
+        """Load a function approval request by its ID."""
+        ...
+
+
+class InMemoryFunctionApprovalStorage:
+    """An in-memory storage for function approval requests."""
+
+    def __init__(self) -> None:
+        self._store: dict[str, Content] = {}
+
+    async def save_approval_request(self, approval_request_id: str, request: Content) -> None:
+        if approval_request_id in self._store:
+            raise ValueError(f"Approval request with ID '{approval_request_id}' already exists.")
+        self._store[approval_request_id] = request
+
+    async def load_approval_request(self, approval_request_id: str) -> Content:
+        if approval_request_id not in self._store:
+            raise KeyError(f"Approval request with ID '{approval_request_id}' does not exist.")
+        return self._store[approval_request_id]
+
+
+class FileBasedFunctionApprovalStorage:
+    """A simple file-based storage for function approval requests.
+
+    Concurrent writes from multiple threads in the same process are
+    serialized by a ``threading.Lock``, and the on-disk JSON file is
+    updated atomically (write to a temp file, then ``os.replace``) so a
+    crash mid-write cannot leave a partially written file behind.
+    """
+
+    def __init__(self, storage_path: str) -> None:
+        self._storage_path = storage_path
+        self._lock = threading.Lock()
+
+    def _create_storage_file_if_not_exists_sync(self) -> None:
+        """Lazy-create the storage file (and its parent directory) if it does not already exist.
+
+        Uses exclusive-create mode (``"x"``) so a concurrent creator cannot
+        be truncated by an ``open(..., "w")`` after a stale existence check.
+        """
+        os.makedirs(os.path.dirname(self._storage_path) or ".", exist_ok=True)
+        with suppress(FileExistsError), open(self._storage_path, "x") as f:
+            json.dump({}, f)
+
+    def _atomic_write(self, data: dict[str, Any]) -> None:
+        """Atomically replace the storage file with the serialized ``data``."""
+        directory = os.path.dirname(self._storage_path) or "."
+        # Serialize first so any error doesn't leave a partial file behind.
+        serialized = json.dumps(data)
+        fd, tmp_path = tempfile.mkstemp(prefix=".approvals-", suffix=".tmp", dir=directory)
+        try:
+            with os.fdopen(fd, "w") as tmp:
+                tmp.write(serialized)
+            os.replace(tmp_path, self._storage_path)
+        except BaseException:
+            with suppress(OSError):
+                os.unlink(tmp_path)
+            raise
+
+    def _save_sync(self, approval_request_id: str, request: Content) -> None:
+        with self._lock:
+            self._create_storage_file_if_not_exists_sync()
+            with open(self._storage_path) as f:
+                data = json.load(f)
+            if approval_request_id in data:
+                raise ValueError(f"Approval request with ID '{approval_request_id}' already exists.")
+            data[approval_request_id] = request.to_dict()
+            self._atomic_write(data)
+
+    def _load_sync(self, approval_request_id: str) -> Content:
+        with self._lock:
+            self._create_storage_file_if_not_exists_sync()
+            with open(self._storage_path) as f:
+                data = json.load(f)
+        if approval_request_id not in data:
+            raise KeyError(f"Approval request with ID '{approval_request_id}' does not exist.")
+        return Content.from_dict(data[approval_request_id])
+
+    async def save_approval_request(self, approval_request_id: str, request: Content) -> None:
+        await asyncio.to_thread(self._save_sync, approval_request_id, request)
+
+    async def load_approval_request(self, approval_request_id: str) -> Content:
+        return await asyncio.to_thread(self._load_sync, approval_request_id)
+
+
 class ResponsesHostServer(ResponsesAgentServerHost):
     """A responses server host for an agent."""
 
     # TODO(@taochen): Allow a different checkpoint storage that stores checkpoints externally
     CHECKPOINT_STORAGE_PATH = "/.checkpoints"
+    FUNCTION_APPROVAL_STORAGE_PATH = "/.function_approvals/approval_requests.json"
 
     def __init__(
         self,
@@ -171,6 +268,11 @@ class ResponsesHostServer(ResponsesAgentServerHost):
             self._is_workflow_agent = True
 
         self._agent = agent
+        self._approval_storage = (
+            FileBasedFunctionApprovalStorage(self.FUNCTION_APPROVAL_STORAGE_PATH)
+            if self.config.is_hosted
+            else InMemoryFunctionApprovalStorage()
+        )
         self.response_handler(self._handle_response)  # pyright: ignore[reportUnknownMemberType]
 
     async def _handle_response(
@@ -192,10 +294,15 @@ class ResponsesHostServer(ResponsesAgentServerHost):
     ) -> AsyncIterable[ResponseStreamEvent | dict[str, Any]]:
         """Handle the creation of a response for a regular (non-workflow) agent."""
         input_items = await context.get_input_items()
-        input_messages = _items_to_messages(input_items)
+        input_messages = await _items_to_messages(input_items, approval_storage=self._approval_storage)
 
         history = await context.get_history()
-        run_kwargs: dict[str, Any] = {"messages": [*_output_items_to_messages(history), *input_messages]}
+        run_kwargs: dict[str, Any] = {
+            "messages": [
+                *(await _output_items_to_messages(history, approval_storage=self._approval_storage)),
+                *input_messages,
+            ]
+        }
         is_streaming_request = request.stream is not None and request.stream is True
 
         chat_options, are_options_set = _to_chat_options(request)
@@ -216,7 +323,11 @@ class ResponsesHostServer(ResponsesAgentServerHost):
 
             for message in response.messages:
                 for content in message.contents:
-                    async for item in _to_outputs(response_event_stream, content):
+                    async for item in _to_outputs(
+                        response_event_stream,
+                        content,
+                        approval_storage=self._approval_storage,
+                    ):
                         yield item
 
             yield response_event_stream.emit_completed()
@@ -232,7 +343,11 @@ class ResponsesHostServer(ResponsesAgentServerHost):
                 for event in tracker.handle(content):
                     yield event
                 if tracker.needs_async:
-                    async for item in _to_outputs(response_event_stream, content):
+                    async for item in _to_outputs(
+                        response_event_stream,
+                        content,
+                        approval_storage=self._approval_storage,
+                    ):
                         yield item
                     tracker.needs_async = False
 
@@ -254,7 +369,7 @@ class ResponsesHostServer(ResponsesAgentServerHost):
         by the hosting infrastructure or files will be preserved upon deactivation.
         """
         input_items = await context.get_input_items()
-        input_messages = _items_to_messages(input_items)
+        input_messages = await _items_to_messages(input_items)
         is_streaming_request = request.stream is not None and request.stream is True
 
         _, are_options_set = _to_chat_options(request)
@@ -581,26 +696,32 @@ def _to_chat_options(request: CreateResponse) -> tuple[ChatOptions, bool]:
 # region Input Message Conversion
 
 
-def _items_to_messages(input_items: Sequence[Item]) -> list[Message]:
+async def _items_to_messages(
+    input_items: Sequence[Item], *, approval_storage: ApprovalStorage | None = None
+) -> list[Message]:
     """Converts a sequence of input items to a list of Messages, one per item.
 
     Args:
         input_items: The input items to convert.
+        approval_storage: An optional ApprovalStorage instance used to look up
+            approval requests when converting MCP approval response items.
 
     Returns:
         A list of Messages, one per supported input item.
     """
     messages: list[Message] = []
     for item in input_items:
-        messages.append(_item_to_message(item))
+        messages.append(await _item_to_message(item, approval_storage=approval_storage))
     return messages
 
 
-def _item_to_message(item: Item) -> Message:
+async def _item_to_message(item: Item, *, approval_storage: ApprovalStorage | None = None) -> Message:
     """Converts an Item to a Message.
 
     Args:
         item: The Item to convert.
+        approval_storage: An optional ApprovalStorage instance used to look up
+            approval requests when converting MCP approval response items.
 
     Returns:
         The converted Message.
@@ -659,27 +780,26 @@ def _item_to_message(item: Item) -> Message:
 
     if item.type == "mcp_approval_request":
         mcp_req = cast(ItemMcpApprovalRequest, item)
-        mcp_call_content = Content.from_mcp_server_tool_call(
+        if approval_storage is not None:
-            mcp_req.id,
+            function_approval_request_content = await approval_storage.load_approval_request(mcp_req.id)
-            mcp_req.name,
+        else:
-            server_name=mcp_req.server_label,
+            raise ValueError("ApprovalStorage is required to load approval request.")
-            arguments=mcp_req.arguments,
-        )
         return Message(
             role="assistant",
-            contents=[Content.from_function_approval_request(mcp_req.id, mcp_call_content)],
+            contents=[function_approval_request_content],
         )
 
     if item.type == "mcp_approval_response":
         mcp_resp = cast(MCPApprovalResponse, item)
-        placeholder_content = Content.from_function_call(mcp_resp.approval_request_id, "mcp_approval")
+        if approval_storage is not None:
+            function_approval_request_content = await approval_storage.load_approval_request(
+                mcp_resp.approval_request_id
+            )
+        else:
+            raise ValueError("ApprovalStorage is required to load approval request.")
         return Message(
             role="user",
-            contents=[
+            contents=[function_approval_request_content.to_function_approval_response(mcp_resp.approve)],
-                Content.from_function_approval_response(
-                    mcp_resp.approve, mcp_resp.approval_request_id, placeholder_content
-                )
-            ],
         )
 
     if item.type == "code_interpreter_call":
@@ -846,26 +966,34 @@ def _item_to_message(item: Item) -> Message:
     raise ValueError(f"Unsupported Item type: {item.type}")
 
 
-def _output_items_to_messages(history: Sequence[OutputItem]) -> list[Message]:
+async def _output_items_to_messages(
+    history: Sequence[OutputItem],
+    *,
+    approval_storage: ApprovalStorage | None = None,
+) -> list[Message]:
     """Converts a sequence of OutputItem objects to a list of Message objects.
 
     Args:
         history (Sequence[OutputItem]): The sequence of OutputItem objects to convert.
+        approval_storage (ApprovalStorage | None, optional): The approval storage to use for
+            resolving MCP approval requests. Defaults to None.
 
     Returns:
         list[Message]: The list of Message objects.
     """
     messages: list[Message] = []
     for item in history:
-        messages.append(_output_item_to_message(item))
+        messages.append(await _output_item_to_message(item, approval_storage=approval_storage))
     return messages
 
 
-def _output_item_to_message(item: OutputItem) -> Message:
+async def _output_item_to_message(item: OutputItem, *, approval_storage: ApprovalStorage | None = None) -> Message:
     """Converts an OutputItem to a Message.
 
     Args:
         item (OutputItem): The OutputItem to convert.
+        approval_storage (ApprovalStorage | None, optional): The approval storage to use for
+            resolving MCP approval requests. Defaults to None.
 
     Returns:
         Message: The converted Message.
@@ -922,24 +1050,27 @@ def _output_item_to_message(item: OutputItem) -> Message:
 
     if item.type == "mcp_approval_request":
         mcp_req = cast(OutputItemMcpApprovalRequest, item)
-        mcp_call_content = Content.from_mcp_server_tool_call(
+        if approval_storage is not None:
-            mcp_req.id,
+            function_approval_request_content = await approval_storage.load_approval_request(mcp_req.id)
-            mcp_req.name,
+        else:
-            server_name=mcp_req.server_label,
+            raise ValueError("ApprovalStorage is required to load approval request.")
-            arguments=mcp_req.arguments,
-        )
         return Message(
             role="assistant",
-            contents=[Content.from_function_approval_request(mcp_req.id, mcp_call_content)],
+            contents=[function_approval_request_content],
         )
 
     if item.type == "mcp_approval_response":
         mcp_resp = cast(OutputItemMcpApprovalResponseResource, item)
-        # Build a placeholder function_call Content since the original call details are not available
+        if approval_storage is not None:
-        placeholder_content = Content.from_function_call(mcp_resp.approval_request_id, "mcp_approval")
+            function_approval_request_content = await approval_storage.load_approval_request(
+                mcp_resp.approval_request_id
+            )
+        else:
+            raise ValueError("ApprovalStorage is required to load approval request.")
+
         return Message(
             role="user",
-            contents=[Content.from_function_approval_response(mcp_resp.approve, mcp_resp.id, placeholder_content)],
+            contents=[function_approval_request_content.to_function_approval_response(mcp_resp.approve)],
         )
 
     if item.type == "code_interpreter_call":
@@ -1237,12 +1368,18 @@ def _arguments_to_str(arguments: str | Mapping[str, Any] | None) -> str:
     return json.dumps(arguments)
 
 
-async def _to_outputs(stream: ResponseEventStream, content: Content) -> AsyncIterator[ResponseStreamEvent]:
+async def _to_outputs(
+    stream: ResponseEventStream,
+    content: Content,
+    *,
+    approval_storage: ApprovalStorage | None = None,
+) -> AsyncIterator[ResponseStreamEvent]:
     """Converts a Content object to an async sequence of ResponseStreamEvent objects.
 
     Args:
         stream: The ResponseEventStream to use for building events.
         content: The Content to convert.
+        approval_storage: An optional ApprovalStorage instance to use for saving and loading function approval requests.
 
     Yields:
         ResponseStreamEvent: The converted event objects.
@@ -1320,6 +1457,31 @@ async def _to_outputs(stream: ResponseEventStream, content: Content) -> AsyncIte
             max_output_length=content.max_output_length,
         ):
             yield event
+    elif content.type == "function_approval_request":
+        function_call: Content = content.function_call  # type: ignore
+        server_label = function_call.additional_properties.get("server_label", "agent_framework")
+        request_saved = False
+        async for event in stream.aoutput_item_mcp_approval_request(
+            server_label,
+            function_call.name,  # type: ignore
+            _arguments_to_str(function_call.arguments),
+        ):
+            if approval_storage is not None and not request_saved:
+                # Extract the approval request ID generated by the infrastructure
+                # when the approval request item is added to the stream. Save the
+                # approval request to the approval storage so it can be retrieved later
+                # for round trips where the original approval request needs to be looked up.
+                item = getattr(event, "item", None)
+                if item is not None and getattr(item, "id", None) is not None:
+                    approval_request_id = cast(str, item.id)  # type: ignore
+                    await approval_storage.save_approval_request(approval_request_id, content)
+                    request_saved = True
+            yield event
+        if approval_storage is not None and not request_saved:
+            logger.warning(
+                "Approval request was not saved to approval storage because the approval request ID "
+                "could not be extracted from the stream event."
+            )
     else:
         # Log a warning for unsupported content types instead of raising an error to avoid breaking the response stream.
         logger.warning(f"Content type '{content.type}' is not supported yet. This is usually safe to ignore.")

python/samples/04-hosting/foundry-hosted-agents/README.md

@@ -156,7 +156,7 @@ cd agent-framework/python/samples/04-hosting/foundry-hosted-agents/responses
 2. Install dependencies:
 
    ```bash
-   pip install -r requirements.txt
+   uv pip install -r requirements.txt
    ```
 
 3. Create a `.env` file with your Foundry configuration following the `env.example` file in the sample.

python/samples/04-hosting/foundry-hosted-agents/responses/02_tools/README.md

@@ -10,6 +10,16 @@ The agent uses `FoundryChatClient` from the Agent Framework to create a Response
 
 See [main.py](main.py) for the full implementation.
 
+### Tools
+
+Local tools are Python functions decorated with the Agent Framework's `@tool` decorator and registered with the agent. When the model chooses to call a tool during a conversation, the agent executes the corresponding function and returns the result to the model.
+
+Each tool can be configured with one of two approval modes: **always_require** or **never_require**. With **always_require**, the agent requests explicit user approval before every invocation; with **never_require**, the agent invokes the tool automatically. To illustrate both behaviors, this sample defines two tools—one using `always_require` and the other using `never_require`.
+
+When a tool is set to `always_require`, the agent host emits an `mcp_approval_request` output containing the approval request ID and details of the pending tool call. The client must reply with an `mcp_approval_response` indicating the same request ID and whether the user approved or denied the call before the agent will proceed.
+
+> IMPORTANT: We are temporarily reusing the **mcp_approval_request** and **mcp_approval_response** message types defined in the [AzureAI AgentServer SDK](https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/agentserver/azure-ai-agentserver-responses/docs/handler-implementation-guide.md#other-tool-call-types) because they map closely to this approval flow. They will likely be superseded by a more formal tool-approval content type in the Responses protocol in the future.
+
 ### Agent Hosting
 
 The agent is hosted using the [Agent Framework](https://github.com/microsoft/agent-framework) with the `ResponsesHostServer`, which provisions a REST API endpoint compatible with the OpenAI Responses protocol.
@@ -28,6 +38,24 @@ Send a POST request to the server with a JSON body containing an `"input"` field
 curl -X POST http://localhost:8088/responses -H "Content-Type: application/json" -d '{"input": "What is the weather in Seattle?"}'
 ```
 
+Send a POST request that triggers a tool call configured with `always_require` to see the approval flow in action:
+
+```bash
+curl -X POST http://localhost:8088/responses -H "Content-Type: application/json" -d '{"input": "List all the files in the current directory."}'
+```
+
+Sample output:
+
+```bash
+{"id":"caresp_3b6cba8c972b1d2f00bXmjpUGzfgSFsmgjtlgqUwqvROwl5lyG","object":"response","output":[{"type":"function_call","id":"fc_3b6cba8c972b1d2f00JIAQktGC1upcB6Dgxp1AVVLp0MoyRTX4","call_id":"call_hWwwZ8lqVQCAuo8ZyY4LXIya","name":"run_bash","arguments":"{\"command\":\"ls -la\"}","status":"completed","response_id":"caresp_3b6cba8c972b1d2f00bXmjpUGzfgSFsmgjtlgqUwqvROwl5lyG","agent_reference":null},{"type":"mcp_approval_request","id":"mcpr_3b6cba8c972b1d2f00IdqsjB6iidFmtsuYp6oI1AoAtUKQZxje","server_label":"agent_framework","name":"run_bash","arguments":"{\"command\":\"ls -la\"}","response_id":"caresp_3b6cba8c972b1d2f00bXmjpUGzfgSFsmgjtlgqUwqvROwl5lyG","agent_reference":null}],"created_at":1778021855,"model":"","status":"completed","completed_at":1778021865,"response_id":"caresp_3b6cba8c972b1d2f00bXmjpUGzfgSFsmgjtlgqUwqvROwl5lyG","agent_reference":{"type":"agent_reference"},"agent_session_id":"8caaaa19598306a1f2fb6d8939ef06874c52c63a83b57681ea4e4b75cf6a179","background":false}
+```
+
+To approve:
+
+```bash
+curl -X POST http://localhost:8088/responses -H "Content-Type: application/json" -d '{"input": [{"type": "mcp_approval_response", "approval_request_id": "mcpr_3b6cba8c972b1d2f00IdqsjB6iidFmtsuYp6oI1AoAtUKQZxje", "approve": true}], "previous_response_id": "caresp_3b6cba8c972b1d2f00bXmjpUGzfgSFsmgjtlgqUwqvROwl5lyG"}'
+```
+
 ## Deploying the Agent to Foundry
 
 To host the agent on Foundry, follow the instructions in the [Deploying the Agent to Foundry](../../README.md#deploying-the-agent-to-foundry) section of the README in the parent directory.

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

@@ -25,7 +25,7 @@ def get_weather(
     return f"The weather in {location} is {conditions[randint(0, 3)]} with a high of {randint(10, 30)}°C."
 
 
-@tool(approval_mode="never_require")
+@tool(approval_mode="always_require")
 def run_bash(command: str) -> str:
     """Execute a shell command locally and return stdout, stderr, and exit code."""
     try: