feat: vLLM abort on stream stop

components/backends/vllm/src/dynamo/vllm/handlers.py

@@ -32,7 +32,7 @@ def __init__(self, component, engine, default_sampling_params):
         self.kv_publisher = None
 
     @abstractmethod
-    async def generate(self, request) -> AsyncGenerator[dict, None]:
+    async def generate(self, request, context) -> AsyncGenerator[dict, None]:
         raise NotImplementedError
 
     async def clear_kv_blocks(self, request=None):
@@ -110,7 +110,7 @@ def cleanup(self):
             self._prefill_check_task.cancel()
         super().cleanup()
 
-    async def generate(self, request):
+    async def generate(self, request, context):
         request_id = str(uuid.uuid4().hex)
         logger.debug(f"New Request ID: {request_id}")
 
@@ -147,9 +147,20 @@ async def generate(self, request):
 
             # TODO Change to prefill queue
             if self.prefill_worker_client is not None:
-                prefill_response = await anext(
-                    await self.prefill_worker_client.round_robin(prefill_request)
-                )
+                try:
+                    prefill_response = await anext(
+                        await self.prefill_worker_client.round_robin(
+                            prefill_request, context
+                        )
+                    )
+                except Exception as e:
+                    # TODO: Cancellation does not propagate until the first token is received
+                    if context.is_stopped() or context.is_killed():
+                        logger.debug(f"Aborted Remote Prefill Request ID: {request_id}")
+                        # TODO: Raise asyncio.CancelledError into bindings
+                        return
+                    raise e
+
                 prefill_response = MyRequestOutput.model_validate_json(
                     prefill_response.data()
                 )
@@ -162,14 +173,20 @@ async def generate(self, request):
                 ] = prefill_response.kv_transfer_params
 
         async for tok in self.generate_tokens(prompt, sampling_params, request_id):
+            if context.is_stopped() or context.is_killed():
+                await self.engine_client.abort(request_id)
+                logger.debug(f"Aborted Request ID: {request_id}")
+                # TODO: Raise asyncio.CancelledError into bindings
+                break
+
             yield tok
 
 
 class PrefillWorkerHandler(BaseWorkerHandler):
     def __init__(self, component, engine, default_sampling_params):
         super().__init__(component, engine, default_sampling_params)
 
-    async def generate(self, request):
+    async def generate(self, request, context):
         request_id = request["request_id"]
         logger.debug(f"New Prefill Request ID: {request_id}")
 
@@ -181,6 +198,12 @@ async def generate(self, request):
         # Generate only 1 token in prefill
         try:
             async for res in gen:
+                if context.is_stopped() or context.is_killed():
+                    await self.engine_client.abort(request_id)
+                    logger.debug(f"Aborted Prefill Request ID: {request_id}")
+                    # TODO: Raise asyncio.CancelledError into bindings
+                    break
+
                 logger.debug(f"kv transfer params: {res.kv_transfer_params}")
                 yield MyRequestOutput(
                     request_id=res.request_id,