from typing import Optional from vllm.multimodal.inputs import MultiModalKwargs from vllm.utils import is_list_of from vllm.v1.request import Request from vllm.v1.structured_output.request import StructuredOutputRequest from vllm_omni.engine import ( AdditionalInformationPayload, OmniEngineCoreRequest, PromptEmbedsPayload, ) class OmniRequest(Request): def __init__( self, prompt_embeds: Optional[PromptEmbedsPayload] = None, additional_information: Optional[AdditionalInformationPayload] = None, *args, **kwargs, ): super().__init__(*args, **kwargs) # Serialized prompt embeddings payload (optional) self.prompt_embeds: Optional[PromptEmbedsPayload] = prompt_embeds # Serialized additional information payload (optional) self.additional_information: Optional[AdditionalInformationPayload] = ( additional_information ) @classmethod def from_engine_core_request(cls, request: OmniEngineCoreRequest) -> "Request": if request.mm_inputs is not None: assert isinstance(request.mm_inputs, list) assert is_list_of( request.mm_inputs, MultiModalKwargs ), "mm_inputs was not updated in EngineCore.add_request" return cls( request_id=request.request_id, client_index=request.client_index, prompt_token_ids=request.prompt_token_ids, multi_modal_inputs=request.mm_inputs, multi_modal_hashes=request.mm_hashes, multi_modal_placeholders=request.mm_placeholders, sampling_params=request.sampling_params, pooling_params=request.pooling_params, eos_token_id=request.eos_token_id, arrival_time=request.arrival_time, lora_request=request.lora_request, structured_output_request=( StructuredOutputRequest(sampling_params=request.sampling_params) if request.sampling_params else None ), cache_salt=request.cache_salt, priority=request.priority, prompt_embeds=request.prompt_embeds, additional_information=request.additional_information, )