[Feature][Responses API]Support MCP tools with streaming mode + background mode (#23927)

Signed-off-by: wuhang <wuhang6@huawei.com>

tests/entrypoints/openai/test_response_api_with_harmony.py

@@ -275,7 +275,8 @@ async def test_stateful_multi_turn(client: OpenAI, model_name: str):
 
 @pytest.mark.asyncio
 @pytest.mark.parametrize("model_name", [MODEL_NAME])
-async def test_streaming(client: OpenAI, model_name: str):
+@pytest.mark.parametrize("background", [True, False])
+async def test_streaming(client: OpenAI, model_name: str, background: bool):
     # TODO: Add back when web search and code interpreter are available in CI
     prompts = [
         "tell me a story about a cat in 20 words",
@@ -300,11 +301,16 @@ async def test_streaming(client: OpenAI, model_name: str):
                 # },
             ],
             stream=True,
+            background=background,
         )
 
         events = []
         current_event_mode = None
+        resp_id = None
         async for event in response:
+            if event.type == "response.created":
+                resp_id = event.response.id
+
             if current_event_mode != event.type:
                 current_event_mode = event.type
                 print(f"\n[{event.type}] ", end="", flush=True)
@@ -322,6 +328,17 @@ async def test_streaming(client: OpenAI, model_name: str):
 
         assert len(events) > 0
 
+        if background:
+            starting_after = 5
+            async with await client.responses.retrieve(
+                    response_id=resp_id,
+                    stream=True,
+                    starting_after=starting_after) as stream:
+                counter = starting_after
+                async for event in stream:
+                    counter += 1
+                    assert event == events[counter]
+
 
 @pytest.mark.asyncio
 @pytest.mark.parametrize("model_name", [MODEL_NAME])

vllm/entrypoints/openai/api_server.py

@@ -616,14 +616,23 @@ async def create_responses(request: ResponsesRequest, raw_request: Request):
 
 
 @router.get("/v1/responses/{response_id}")
-async def retrieve_responses(response_id: str, raw_request: Request):
+async def retrieve_responses(
+    response_id: str,
+    raw_request: Request,
+    starting_after: Optional[int] = None,
+    stream: Optional[bool] = False,
+):
     handler = responses(raw_request)
     if handler is None:
         return base(raw_request).create_error_response(
             message="The model does not support Responses API")
 
     try:
-        response = await handler.retrieve_responses(response_id)
+        response = await handler.retrieve_responses(
+            response_id,
+            starting_after=starting_after,
+            stream=stream,
+        )
     except Exception as e:
         raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR.value,
                             detail=str(e)) from e
@@ -631,6 +640,9 @@ async def retrieve_responses(response_id: str, raw_request: Request):
     if isinstance(response, ErrorResponse):
         return JSONResponse(content=response.model_dump(),
                             status_code=response.error.code)
+    elif stream:
+        return StreamingResponse(content=response,
+                                 media_type="text/event-stream")
     return JSONResponse(content=response.model_dump())
 
 

vllm/entrypoints/openai/serving_responses.py

@@ -4,6 +4,7 @@
 import asyncio
 import json
 import time
+from collections import deque
 from collections.abc import AsyncGenerator, AsyncIterator, Sequence
 from contextlib import AsyncExitStack
 from copy import copy
@@ -55,7 +56,7 @@ from vllm.entrypoints.openai.protocol import (ErrorResponse,
 # yapf: enable
 from vllm.entrypoints.openai.serving_engine import OpenAIServing
 from vllm.entrypoints.openai.serving_models import OpenAIServingModels
-from vllm.entrypoints.tool_server import MCPToolServer, ToolServer
+from vllm.entrypoints.tool_server import ToolServer
 from vllm.inputs.data import TokensPrompt as EngineTokensPrompt
 from vllm.logger import init_logger
 from vllm.logprobs import Logprob as SampleLogprob
@@ -168,6 +169,11 @@ class OpenAIServingResponses(OpenAIServing):
         # never remove messages from the store.
         self.msg_store: dict[str, list[ChatCompletionMessageParam]] = {}
 
+        # HACK(wuhang): This is a hack. We should use a better store.
+        # FIXME: If enable_store=True, this may cause a memory leak since we
+        # never remove events from the store.
+        self.event_store: dict[str, tuple[deque[str], asyncio.Event]] = {}
+
         self.background_tasks: dict[str, asyncio.Task] = {}
 
         self.tool_server = tool_server
@@ -249,15 +255,6 @@ class OpenAIServingResponses(OpenAIServing):
         if raw_request:
             raw_request.state.request_metadata = request_metadata
 
-        if self.tool_server is not None and isinstance(
-                self.tool_server,
-                MCPToolServer) and request.stream and request.tools and any(
-                    tool.type in ["web_search_preview", "code_interpreter"]
-                    for tool in request.tools):
-            return self.create_error_response(
-                "MCP tool server is not supported in background mode and "
-                "streaming mode")
-
         # Schedule the request and get the result generator.
         generators: list[AsyncGenerator[ConversationContext, None]] = []
 
@@ -329,6 +326,21 @@ class OpenAIServingResponses(OpenAIServing):
                 self.response_store[response.id] = response
 
             # Run the request in the background.
+            if request.stream:
+                task = asyncio.create_task(
+                    self._run_background_request_stream(
+                        request,
+                        sampling_params,
+                        result_generator,
+                        context,
+                        model_name,
+                        tokenizer,
+                        request_metadata,
+                        created_time,
+                    ),
+                    name=f"create_{request.request_id}",
+                )
+            else:
                 task = asyncio.create_task(
                     self._run_background_request(
                         request,
@@ -348,6 +360,10 @@ class OpenAIServingResponses(OpenAIServing):
             self.background_tasks[response_id] = task
             task.add_done_callback(
                 lambda _: self.background_tasks.pop(response_id, None))
+
+            if request.stream:
+                return self.responses_background_stream_generator(
+                    request.request_id)
             return response
 
         if request.stream:
@@ -736,6 +752,40 @@ class OpenAIServingResponses(OpenAIServing):
                     prev_outputs.append(response_msg)
         return messages
 
+    async def _run_background_request_stream(
+        self,
+        request: ResponsesRequest,
+        *args,
+        **kwargs,
+    ):
+        event_deque: deque[str] = deque()
+        new_event_signal = asyncio.Event()
+        self.event_store[request.request_id] = (event_deque, new_event_signal)
+        response = None
+        try:
+            generator = self.responses_stream_generator(
+                request, *args, **kwargs)
+            async for event in generator:
+                event_deque.append(event)
+                new_event_signal.set()  # Signal new event available
+        except Exception as e:
+            logger.exception("Background request failed for %s",
+                             request.request_id)
+            response = self.create_error_response(str(e))
+        finally:
+            # Mark as finished with a special marker
+            event_deque.append("__STREAM_END__")
+            new_event_signal.set()
+
+        if response is not None and isinstance(response, ErrorResponse):
+            # If the request has failed, update the status to "failed".
+            response_id = request.request_id
+            async with self.response_store_lock:
+                stored_response = self.response_store.get(response_id)
+                assert stored_response is not None
+                if stored_response.status not in ("completed", "cancelled"):
+                    stored_response.status = "failed"
+
     async def _run_background_request(
         self,
         request: ResponsesRequest,
@@ -759,9 +809,36 @@ class OpenAIServingResponses(OpenAIServing):
                 if stored_response.status not in ("completed", "cancelled"):
                     stored_response.status = "failed"
 
+    async def responses_background_stream_generator(
+        self,
+        response_id: str,
+        starting_after: Optional[int] = None,
+    ):
+        if response_id not in self.event_store:
+            raise ValueError(f"Unknown response_id: {response_id}")
+
+        event_deque, new_event_signal = self.event_store[response_id]
+        start_index = 0 if starting_after is None else starting_after + 1
+        current_index = start_index
+
+        while True:
+            new_event_signal.clear()
+
+            # Yield existing events from start_index
+            while current_index < len(event_deque):
+                event = event_deque[current_index]
+                if event == "__STREAM_END__":
+                    return
+                yield event
+                current_index += 1
+
+            await new_event_signal.wait()
+
     async def retrieve_responses(
         self,
         response_id: str,
+        starting_after: Optional[int],
+        stream: Optional[bool],
     ) -> Union[ErrorResponse, ResponsesResponse]:
         if not response_id.startswith("resp_"):
             return self._make_invalid_id_error(response_id)
@@ -771,6 +848,12 @@ class OpenAIServingResponses(OpenAIServing):
 
         if response is None:
             return self._make_not_found_error(response_id)
+
+        if stream:
+            return self.responses_background_stream_generator(
+                response_id,
+                starting_after,
+            )
         return response
 
     async def cancel_responses(