[Bugfix] Fix request cancellation without polling (#11190)

tests/entrypoints/openai/test_basic.py

@@ -1,6 +1,8 @@
+import asyncio
 from http import HTTPStatus
 from typing import List
 
+import openai
 import pytest
 import pytest_asyncio
 import requests
@@ -103,3 +105,52 @@ async def test_check_health(server: RemoteOpenAIServer):
     response = requests.get(server.url_for("health"))
 
     assert response.status_code == HTTPStatus.OK
+
+
+@pytest.mark.parametrize(
+    "server_args",
+    [
+        pytest.param(["--max-model-len", "10100"],
+                     id="default-frontend-multiprocessing"),
+        pytest.param(
+            ["--disable-frontend-multiprocessing", "--max-model-len", "10100"],
+            id="disable-frontend-multiprocessing")
+    ],
+    indirect=True,
+)
+@pytest.mark.asyncio
+async def test_request_cancellation(server: RemoteOpenAIServer):
+    # clunky test: send an ungodly amount of load in with short timeouts
+    # then ensure that it still responds quickly afterwards
+
+    chat_input = [{"role": "user", "content": "Write a long story"}]
+    client = server.get_async_client(timeout=0.5)
+    tasks = []
+    # Request about 2 million tokens
+    for _ in range(200):
+        task = asyncio.create_task(
+            client.chat.completions.create(messages=chat_input,
+                                           model=MODEL_NAME,
+                                           max_tokens=10000,
+                                           extra_body={"min_tokens": 10000}))
+        tasks.append(task)
+
+    done, pending = await asyncio.wait(tasks,
+                                       return_when=asyncio.ALL_COMPLETED)
+
+    # Make sure all requests were sent to the server and timed out
+    # (We don't want to hide other errors like 400s that would invalidate this
+    # test)
+    assert len(pending) == 0
+    for d in done:
+        with pytest.raises(openai.APITimeoutError):
+            d.result()
+
+    # If the server had not cancelled all the other requests, then it would not
+    # be able to respond to this one within the timeout
+    client = server.get_async_client(timeout=5)
+    response = await client.chat.completions.create(messages=chat_input,
+                                                    model=MODEL_NAME,
+                                                    max_tokens=10)
+
+    assert len(response.choices) == 1

tests/test_utils.py

@@ -1,7 +1,6 @@
 import asyncio
 import os
 import socket
-from functools import partial
 from typing import AsyncIterator, Tuple
 
 import pytest
@@ -26,10 +25,7 @@ async def mock_async_iterator(idx: int):
             print(f"iterator {idx} cancelled")
 
     iterators = [mock_async_iterator(i) for i in range(3)]
-    merged_iterator = merge_async_iterators(*iterators,
-                                            is_cancelled=partial(asyncio.sleep,
-                                                                 0,
-                                                                 result=False))
+    merged_iterator = merge_async_iterators(*iterators)
 
     async def stream_output(generator: AsyncIterator[Tuple[int, str]]):
         async for idx, output in generator:

tests/utils.py

@@ -163,12 +163,11 @@ def get_client(self):
             api_key=self.DUMMY_API_KEY,
         )
 
-    def get_async_client(self):
-        return openai.AsyncOpenAI(
-            base_url=self.url_for("v1"),
-            api_key=self.DUMMY_API_KEY,
-            max_retries=0,
-        )
+    def get_async_client(self, **kwargs):
+        return openai.AsyncOpenAI(base_url=self.url_for("v1"),
+                                  api_key=self.DUMMY_API_KEY,
+                                  max_retries=0,
+                                  **kwargs)
 
 
 def _test_completion(

vllm/engine/async_llm_engine.py

@@ -1065,16 +1065,20 @@ async def generate(
             >>> # Process and return the final output
             >>> ...
         """
-        async for output in 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 LLMEngine.validate_output(output, RequestOutput)
+        try:
+            async for output in 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 LLMEngine.validate_output(output, RequestOutput)
+        except asyncio.CancelledError:
+            await self.abort(request_id)
+            raise
 
     async def encode(
         self,
@@ -1147,15 +1151,19 @@ async def encode(
             >>> # Process and return the final output
             >>> ...
         """
-        async for output in await self.add_request(
-                request_id,
-                prompt,
-                pooling_params,
-                lora_request=lora_request,
-                trace_headers=trace_headers,
-                priority=priority,
-        ):
-            yield LLMEngine.validate_output(output, PoolingRequestOutput)
+        try:
+            async for output in await self.add_request(
+                    request_id,
+                    prompt,
+                    pooling_params,
+                    lora_request=lora_request,
+                    trace_headers=trace_headers,
+                    priority=priority,
+            ):
+                yield LLMEngine.validate_output(output, PoolingRequestOutput)
+        except asyncio.CancelledError:
+            await self.abort(request_id)
+            raise
 
     async def abort(self, request_id: str) -> None:
         """Abort a request.

vllm/entrypoints/api_server.py

@@ -17,11 +17,11 @@
 from vllm.engine.arg_utils import AsyncEngineArgs
 from vllm.engine.async_llm_engine import AsyncLLMEngine
 from vllm.entrypoints.launcher import serve_http
+from vllm.entrypoints.utils import with_cancellation
 from vllm.logger import init_logger
 from vllm.sampling_params import SamplingParams
 from vllm.usage.usage_lib import UsageContext
-from vllm.utils import (FlexibleArgumentParser, iterate_with_cancellation,
-                        random_uuid)
+from vllm.utils import FlexibleArgumentParser, random_uuid
 from vllm.version import __version__ as VLLM_VERSION
 
 logger = init_logger("vllm.entrypoints.api_server")
@@ -47,15 +47,18 @@ async def generate(request: Request) -> Response:
     - other fields: the sampling parameters (See `SamplingParams` for details).
     """
     request_dict = await request.json()
+    return await _generate(request_dict, raw_request=request)
+
+
+@with_cancellation
+async def _generate(request_dict: dict, raw_request: Request) -> Response:
     prompt = request_dict.pop("prompt")
     stream = request_dict.pop("stream", False)
     sampling_params = SamplingParams(**request_dict)
     request_id = random_uuid()
 
     assert engine is not None
     results_generator = engine.generate(prompt, sampling_params, request_id)
-    results_generator = iterate_with_cancellation(
-        results_generator, is_cancelled=request.is_disconnected)
 
     # Streaming case
     async def stream_results() -> AsyncGenerator[bytes, None]:

vllm/entrypoints/openai/api_server.py

@@ -59,6 +59,7 @@
 from vllm.entrypoints.openai.serving_tokenization import (
     OpenAIServingTokenization)
 from vllm.entrypoints.openai.tool_parsers import ToolParserManager
+from vllm.entrypoints.utils import with_cancellation
 from vllm.logger import init_logger
 from vllm.usage.usage_lib import UsageContext
 from vllm.utils import (FlexibleArgumentParser, get_open_zmq_ipc_path,
@@ -311,6 +312,7 @@ async def health(raw_request: Request) -> Response:
 
 
 @router.post("/tokenize")
+@with_cancellation
 async def tokenize(request: TokenizeRequest, raw_request: Request):
     handler = tokenization(raw_request)
 
@@ -325,6 +327,7 @@ async def tokenize(request: TokenizeRequest, raw_request: Request):
 
 
 @router.post("/detokenize")
+@with_cancellation
 async def detokenize(request: DetokenizeRequest, raw_request: Request):
     handler = tokenization(raw_request)
 
@@ -353,6 +356,7 @@ async def show_version():
 
 
 @router.post("/v1/chat/completions")
+@with_cancellation
 async def create_chat_completion(request: ChatCompletionRequest,
                                  raw_request: Request):
     handler = chat(raw_request)
@@ -373,6 +377,7 @@ async def create_chat_completion(request: ChatCompletionRequest,
 
 
 @router.post("/v1/completions")
+@with_cancellation
 async def create_completion(request: CompletionRequest, raw_request: Request):
     handler = completion(raw_request)
     if handler is None:
@@ -390,6 +395,7 @@ async def create_completion(request: CompletionRequest, raw_request: Request):
 
 
 @router.post("/v1/embeddings")
+@with_cancellation
 async def create_embedding(request: EmbeddingRequest, raw_request: Request):
     handler = embedding(raw_request)
     if handler is None:
@@ -407,6 +413,7 @@ async def create_embedding(request: EmbeddingRequest, raw_request: Request):
 
 
 @router.post("/score")
+@with_cancellation
 async def create_score(request: ScoreRequest, raw_request: Request):
     handler = score(raw_request)
     if handler is None:
@@ -424,6 +431,7 @@ async def create_score(request: ScoreRequest, raw_request: Request):
 
 
 @router.post("/v1/score")
+@with_cancellation
 async def create_score_v1(request: ScoreRequest, raw_request: Request):
     logger.warning(
         "To indicate that Score API is not part of standard OpenAI API, we "

vllm/entrypoints/openai/serving_chat.py

@@ -32,7 +32,6 @@
 from vllm.sequence import Logprob
 from vllm.transformers_utils.tokenizer import AnyTokenizer, MistralTokenizer
 from vllm.transformers_utils.tokenizers import maybe_serialize_tool_calls
-from vllm.utils import iterate_with_cancellation
 
 logger = init_logger(__name__)
 
@@ -234,10 +233,6 @@ async def create_chat_completion(
         assert len(generators) == 1
         result_generator, = generators
 
-        if raw_request:
-            result_generator = iterate_with_cancellation(
-                result_generator, raw_request.is_disconnected)
-
         # Streaming response
         if request.stream:
             return self.chat_completion_stream_generator(

vllm/entrypoints/openai/serving_completion.py

@@ -159,8 +159,7 @@ async def create_completion(
             # TODO: Use a vllm-specific Validation Error
             return self.create_error_response(str(e))
 
-        result_generator = merge_async_iterators(
-            *generators, is_cancelled=raw_request.is_disconnected)
+        result_generator = merge_async_iterators(*generators)
 
         model_name = self._get_model_name(lora_request)
         num_prompts = len(engine_prompts)

vllm/entrypoints/openai/serving_embedding.py

@@ -202,10 +202,7 @@ async def create_embedding(
             # TODO: Use a vllm-specific Validation Error
             return self.create_error_response(str(e))
 
-        result_generator = merge_async_iterators(
-            *generators,
-            is_cancelled=raw_request.is_disconnected if raw_request else None,
-        )
+        result_generator = merge_async_iterators(*generators)
 
         num_prompts = len(engine_prompts)
 

vllm/entrypoints/openai/serving_score.py

@@ -186,10 +186,7 @@ async def create_score(
             # TODO: Use a vllm-specific Validation Error
             return self.create_error_response(str(e))
 
-        result_generator = merge_async_iterators(
-            *generators,
-            is_cancelled=raw_request.is_disconnected if raw_request else None,
-        )
+        result_generator = merge_async_iterators(*generators)
 
         num_prompts = len(engine_prompts)
 

vllm/entrypoints/utils.py

@@ -0,0 +1,57 @@
+import asyncio
+import functools
+
+from fastapi import Request
+
+
+async def listen_for_disconnect(request: Request) -> None:
+    """Returns if a disconnect message is received"""
+    while True:
+        message = await request.receive()
+        if message["type"] == "http.disconnect":
+            break
+
+
+def with_cancellation(handler_func):
+    """Decorator that allows a route handler to be cancelled by client
+    disconnections.
+    
+    This does _not_ use request.is_disconnected, which does not work with
+    middleware. Instead this follows the pattern from 
+    starlette.StreamingResponse, which simultaneously awaits on two tasks- one
+    to wait for an http disconnect message, and the other to do the work that we
+    want done. When the first task finishes, the other is cancelled.
+
+    A core assumption of this method is that the body of the request has already
+    been read. This is a safe assumption to make for fastapi handlers that have
+    already parsed the body of the request into a pydantic model for us.
+    This decorator is unsafe to use elsewhere, as it will consume and throw away
+    all incoming messages for the request while it looks for a disconnect
+    message.
+
+    In the case where a `StreamingResponse` is returned by the handler, this
+    wrapper will stop listening for disconnects and instead the response object
+    will start listening for disconnects.
+    """
+
+    # Functools.wraps is required for this wrapper to appear to fastapi as a
+    # normal route handler, with the correct request type hinting.
+    @functools.wraps(handler_func)
+    async def wrapper(*args, **kwargs):
+
+        # The request is either the second positional arg or `raw_request`
+        request = args[1] if len(args) > 1 else kwargs["raw_request"]
+
+        handler_task = asyncio.create_task(handler_func(*args, **kwargs))
+        cancellation_task = asyncio.create_task(listen_for_disconnect(request))
+
+        done, pending = await asyncio.wait([handler_task, cancellation_task],
+                                           return_when=asyncio.FIRST_COMPLETED)
+        for task in pending:
+            task.cancel()
+
+        if handler_task in done:
+            return handler_task.result()
+        return None
+
+    return wrapper