[V1][3/N] API Server: Reduce Task Switching + Handle Abort Properly

tests/models/registry.py

@@ -61,6 +61,8 @@ class _HfExamplesInfo:
     "DeepseekForCausalLM": _HfExamplesInfo("deepseek-ai/deepseek-llm-7b-chat"),
     "DeepseekV2ForCausalLM": _HfExamplesInfo("deepseek-ai/DeepSeek-V2-Lite-Chat",  # noqa: E501
                                          trust_remote_code=True),
+    "DeepseekV3ForCausalLM": _HfExamplesInfo("deepseek-ai/DeepSeek-V3",  # noqa: E501
+                                         trust_remote_code=True),
     "ExaoneForCausalLM": _HfExamplesInfo("LGAI-EXAONE/EXAONE-3.0-7.8B-Instruct"),  # noqa: E501
     "FalconForCausalLM": _HfExamplesInfo("tiiuae/falcon-7b"),
     "GemmaForCausalLM": _HfExamplesInfo("google/gemma-2b"),

vllm/v1/engine/async_llm.py

@@ -9,14 +9,13 @@
 from vllm.inputs.preprocess import InputPreprocessor
 from vllm.logger import init_logger
 from vllm.lora.request import LoRARequest
-from vllm.outputs import PoolingRequestOutput, RequestOutput
+from vllm.outputs import RequestOutput
 from vllm.pooling_params import PoolingParams
 from vllm.prompt_adapter.request import PromptAdapterRequest
 from vllm.sampling_params import SamplingParams
 from vllm.transformers_utils.tokenizer import AnyTokenizer
 from vllm.transformers_utils.tokenizer_group import init_tokenizer_from_configs
 from vllm.usage.usage_lib import UsageContext
-from vllm.v1.engine.async_stream import AsyncStream
 from vllm.v1.engine.core_client import EngineCoreClient
 from vllm.v1.engine.detokenizer import Detokenizer
 from vllm.v1.engine.processor import Processor
@@ -54,10 +53,8 @@ def __init__(
             lora_config=vllm_config.lora_config)
         self.tokenizer.ping()
 
-        # Request streams (map of request_id -> AsyncStream).
-        self.request_streams: Dict[str, AsyncStream] = {}
-        # List of cancelled request ids to be aborted.
-        self.client_aborted_requests: List[str] = []
+        # Request streams (map of request_id -> queue).
+        self.rid_to_queue: Dict[str, asyncio.Queue] = {}
 
         # Processor (converts Inputs --> EngineCoreRequests).
         self.processor = Processor(
@@ -153,14 +150,13 @@ async def add_request(
         trace_headers: Optional[Mapping[str, str]] = None,
         prompt_adapter_request: Optional[PromptAdapterRequest] = None,
         priority: int = 0,
-    ) -> AsyncGenerator[Union[RequestOutput, PoolingRequestOutput], None]:
+    ) -> asyncio.Queue[RequestOutput]:
         """Add new request to the AsyncLLM."""
 
-        if self.detokenizer.is_request_active(request_id):
-            raise ValueError(f"Request {request_id} already exists.")
-
-        # 1) Create a new AsyncStream for the request.
-        stream = self._add_request_to_streams(request_id)
+        # 1) Create a new output queue for the request.
+        if request_id in self.rid_to_queue:
+            raise ValueError(f"Request id {request_id} already running.")
+        self.rid_to_queue[request_id] = asyncio.Queue()
 
         # 2) Convert input --> DetokenizerRequest / EngineCoreRequest.
         detokenizer_req, engine_core_req = self.processor.process_inputs(
@@ -173,8 +169,10 @@ async def add_request(
         # 4) Add the EngineCoreRequest to EngineCore (separate process).
         await self.engine_core.add_request_async(engine_core_req)
 
-        # 5) Return the generator.
-        return stream.generator()
+        if self.log_requests:
+            logger.info("Added request %s.", request_id)
+
+        return self.rid_to_queue[request_id]
 
     # TODO: we should support multiple prompts in one call, as you
     # can do with LLM.generate. So that for multi-prompt completion
@@ -194,7 +192,7 @@ async def generate(
         """
         Main function called by the API server to kick off a request
             * 1) Making an AsyncStream corresponding to the Request.
-            # 2) Processing the Input.
+            * 2) Processing the Input.
             * 3) Adding the Request to the Detokenizer.
             * 4) Adding the Request to the EngineCore (separate process).
 
@@ -206,94 +204,58 @@ async def generate(
         returning the RequestOutput back to the caller.
         """
 
-        # We start the output_handler on the first call to generate() so that
-        # we can call __init__ before the event loop starts, which enables us
-        # to handle startup failure gracefully in the OpenAI server.
-        if self.output_handler is None:
-            self.output_handler = asyncio.create_task(
-                self._run_output_handler())
-
-        async for output in await self.add_request(
+        try:
+            # We start the output_handler on the first call to generate() so
+            # we can call __init__ before the event loop, which enables us
+            # to handle startup failure gracefully in the OpenAI server.
+            if self.output_handler is None:
+                self.output_handler = asyncio.create_task(
+                    self._run_output_handler())
+
+            q = await self.add_request(
                 request_id,
                 prompt,
                 sampling_params,
                 lora_request=lora_request,
                 trace_headers=trace_headers,
                 prompt_adapter_request=prompt_adapter_request,
                 priority=priority,
-        ):
-            yield output
-
-    def _finish_stream(self, request_id: str):
-        stream = self.request_streams.pop(request_id, None)
-        if stream is not None:
-            stream.finish()
-
-    def _add_request_to_streams(
-        self,
-        request_id: str,
-    ) -> AsyncStream:
-
-        if request_id in self.request_streams:
-            raise ValueError(f"Request id {request_id} already running.")
-
-        # Avoid streams having circular ref to parent AsyncLLM object.
-        aborted_reqs = self.client_aborted_requests
-        stream = AsyncStream(request_id, aborted_reqs.append)
-        self.request_streams[request_id] = stream
-
-        if self.log_requests:
-            logger.info("Added request %s.", request_id)
+            )
 
-        return stream
-
-    async def _process_cancellations(self) -> None:
-        """
-        Process requests cancelled from user disconnecting.
-
-        When a client disconnects, AsyncStream._cancel() is called.
-        We passed a callback to AsyncStream(), which appends to 
-        self.client_aborted_requests.
-
-        As a result, if any requests are canceled from the user side
-        the request_id will show up in self.client_aborted_requests.
-        """
-
-        # Avoid streams having circular ref to parent AsyncLLM object.
-        if not self.client_aborted_requests:
-            return
-        reqs_to_abort = self.client_aborted_requests.copy()
-        self.client_aborted_requests.clear()
-
-        # Remove from Detokenizer.
-        self.detokenizer.abort_requests(reqs_to_abort)
-
-        # Remove from RequestStreams.
-        for request_id in reqs_to_abort:
-            if self.log_requests:
-                logger.info("User-cancelled request %s.", request_id)
-            self._finish_stream(request_id)
-
-        # Remove from EngineCore.
-        await self.engine_core.abort_requests_async(reqs_to_abort)
+            # The output_handler task pushes items into the queue.
+            # This task pulls from the queue and yields to caller.
+            while True:
+                # Note: drain queue without await if possible (avoids
+                # task switching under load which helps performance).
+                out = q.get_nowait() if q.qsize() > 0 else await q.get()
+
+                # Note: both Detokenizer and EngineCore handle their
+                # own request cleanup based on finished.
+                if out.finished:
+                    del self.rid_to_queue[request_id]
+                    yield out
+                    break
+
+                yield out
+
+        # If the request is disconnected by the client, the
+        # generate() task will be canceled. So, we abort the
+        # request if we end up here.
+        except asyncio.CancelledError:
+            await self.abort(request_id)
+            raise
 
     def _process_request_outputs(self, request_outputs: List[RequestOutput]):
-        """Process outputs by putting them into per-request AsyncStreams."""
+        """Process outputs by putting them into per-request queues."""
 
         for request_output in request_outputs:
             request_id = request_output.request_id
-            assert request_id in self.request_streams
 
-            # Each request in the API server pulls from the per-request stream.
-            stream = self.request_streams.get(request_id)
-            if stream is not None:
-                stream.put(request_output)
-
-                # If finished, remove from the tracker.
-                if request_output.finished:
-                    if self.log_requests:
-                        logger.info("Finished request %s.", request_id)
-                    self._finish_stream(request_id)
+            # Note: it is possible a request was aborted and removed from
+            # the state due to client cancellations, so if we encounter a
+            # request id not in the state, we skip.
+            if request_id in self.rid_to_queue:
+                self.rid_to_queue[request_id].put_nowait(request_output)
 
     async def _run_output_handler(self):
         """Background loop: pulls from EngineCore and pushes to AsyncStreams."""
@@ -306,24 +268,27 @@ async def _run_output_handler(self):
                 # 2) Detokenize based on the output.
                 request_outputs, reqs_to_abort = self.detokenizer.step(outputs)
 
-                # 3) Put the RequestOutputs into the per-request AsyncStreams.
+                # 3) Put the RequestOutputs into the per-request queues.
                 self._process_request_outputs(request_outputs)
 
                 # 4) Abort any requests that finished due to stop strings.
                 await self.engine_core.abort_requests_async(reqs_to_abort)
 
-                # 5) Abort any requests due to client cancellations.
-                await self._process_cancellations()
-
         except BaseException as e:
             logger.error(e)
             raise e
 
-    # TODO: can we eliminate these?
-
     async def abort(self, request_id: str) -> None:
-        # Note: Who Calls this? I dont think this is actually used.
-        raise ValueError("Not Supported on V1 yet.")
+        """Abort RequestId in self, detokenizer, and engine core."""
+
+        request_ids = [request_id]
+        await self.engine_core.abort_requests_async(request_ids)
+        self.detokenizer.abort_requests(request_ids)
+
+        # If a request finishes while we await then the request_id
+        # will be removed from the tracked queues before we get here.
+        if request_id in self.rid_to_queue:
+            del self.rid_to_queue[request_id]
 
     def encode(
         self,

vllm/v1/engine/core.py

@@ -32,7 +32,7 @@
 
 POLLING_TIMEOUT_MS = 5000
 POLLING_TIMEOUT_S = POLLING_TIMEOUT_MS // 1000
-LOGGING_TIME_S = 5000
+LOGGING_TIME_S = POLLING_TIMEOUT_S
 
 
 class EngineCore: