106 lines
3.0 KiB
Python
106 lines
3.0 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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import enum
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from typing import List, Optional, Union
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import msgspec
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from vllm.lora.request import LoRARequest
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from vllm.multimodal import MultiModalKwargs
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from vllm.multimodal.inputs import PlaceholderRange
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from vllm.sampling_params import SamplingParams
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from vllm.v1.metrics.stats import SchedulerStats
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from vllm.v1.outputs import LogprobsLists, LogprobsTensors
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# These are possible values of RequestOutput.finish_reason,
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# so form part of the external API.
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FINISH_REASON_STRINGS = ("stop", "length", "abort")
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class FinishReason(enum.IntEnum):
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"""
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Reason a request finished - stop, length, or abort.
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Int rather than Str for more compact serialization.
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stop - a stop string was emitted
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length - max_tokens was consumed, or max_model_len was reached
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abort - aborted for another reason
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"""
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STOP = 0
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LENGTH = 1
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ABORT = 2
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def __str__(self):
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return FINISH_REASON_STRINGS[self.value]
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class EngineCoreRequest(
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msgspec.Struct,
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array_like=True, # type: ignore[call-arg]
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omit_defaults=True, # type: ignore[call-arg]
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gc=False): # type: ignore[call-arg]
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# NOTE: prompt and prompt_token_ids should be DecoderOnlyInput,
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# but this object is currently not playing well with msgspec
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# due to circular imports and typing we have in data.py
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request_id: str
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# NOTE(ywang96): original text prompt is needed when a request is added to
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# Detokenizer, but set to None when it is added to EngineCoreClient.
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prompt: Optional[str]
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prompt_token_ids: List[int]
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mm_inputs: Optional[List[Optional[MultiModalKwargs]]]
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mm_hashes: Optional[List[str]]
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mm_placeholders: Optional[List[PlaceholderRange]]
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sampling_params: SamplingParams
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eos_token_id: Optional[int]
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arrival_time: float
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lora_request: Optional[LoRARequest]
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class EngineCoreOutput(
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msgspec.Struct,
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array_like=True, # type: ignore[call-arg]
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omit_defaults=True, # type: ignore[call-arg]
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gc=False): # type: ignore[call-arg]
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request_id: str
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new_token_ids: List[int]
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new_logprobs: Optional[LogprobsLists] = None
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new_prompt_logprobs_tensors: Optional[LogprobsTensors] = None
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finish_reason: Optional[FinishReason] = None
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stop_reason: Union[int, str, None] = None
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@property
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def finished(self) -> bool:
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return self.finish_reason is not None
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class EngineCoreOutputs(
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msgspec.Struct,
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array_like=True, # type: ignore[call-arg]
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omit_defaults=True, # type: ignore[call-arg]
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gc=False): # type: ignore[call-arg]
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#NOTE(Nick): We could consider ways to make this more compact,
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# e.g. columnwise layout
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# [num_reqs]
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outputs: List[EngineCoreOutput]
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scheduler_stats: SchedulerStats
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class EngineCoreRequestType(enum.Enum):
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"""
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Request types defined as hex byte strings, so it can be sent over sockets
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without separate encoding step.
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"""
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ADD = b'\x00'
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ABORT = b'\x01'
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PROFILE = b'\x02'
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RESET_PREFIX_CACHE = b'\x03'
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