[Minor] Include `StreamingInput` in inputs package (#33856)

Signed-off-by: Nick Hill <nickhill123@gmail.com>

tests/v1/e2e/test_streaming_input.py

@@ -19,7 +19,7 @@ import pytest
 import pytest_asyncio
 
 from vllm import SamplingParams
-from vllm.inputs.data import StreamingInput
+from vllm.inputs import StreamingInput
 from vllm.outputs import RequestOutput
 from vllm.platforms import current_platform
 from vllm.sampling_params import RequestOutputKind

tests/v1/streaming_input/test_async_llm_streaming.py

@@ -7,7 +7,7 @@ from unittest.mock import AsyncMock, MagicMock
 
 import pytest
 
-from vllm.inputs.data import StreamingInput
+from vllm.inputs import StreamingInput
 from vllm.outputs import RequestOutput
 from vllm.sampling_params import RequestOutputKind, SamplingParams
 from vllm.v1.engine.async_llm import AsyncLLM

vllm/inputs/__init__.py

@@ -12,6 +12,7 @@ from .data import (
     PromptType,
     SingletonInputs,
     SingletonPrompt,
+    StreamingInput,
     TextPrompt,
     TokenInputs,
     TokensPrompt,
@@ -41,4 +42,5 @@ __all__ = [
     "build_explicit_enc_dec_prompt",
     "to_enc_dec_tuple_list",
     "zip_enc_dec_prompts",
+    "StreamingInput",
 ]

vllm/v1/engine/async_llm.py

@@ -16,8 +16,7 @@ from vllm import TokensPrompt
 from vllm.config import VllmConfig
 from vllm.engine.arg_utils import AsyncEngineArgs
 from vllm.engine.protocol import EngineClient
-from vllm.inputs import PromptType
-from vllm.inputs.data import StreamingInput
+from vllm.inputs import PromptType, StreamingInput
 from vllm.logger import init_logger
 from vllm.lora.request import LoRARequest
 from vllm.multimodal import MULTIMODAL_REGISTRY, MultiModalRegistry
@@ -461,6 +460,7 @@ class AsyncLLM(EngineClient):
                         self._validate_streaming_input_sampling_params(sp)
                     else:
                         sp = sampling_params
+                    # TODO(nick): Avoid re-validating reused sampling parameters
                     req = self.input_processor.process_inputs(
                         request_id=internal_req_id,
                         prompt=input_chunk.prompt,