116 lines
3.3 KiB
Python
116 lines
3.3 KiB
Python
# SPDX-License-Identifier: Apache-2.0
|
|
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
|
|
from http import HTTPStatus
|
|
|
|
from fastapi import APIRouter, Depends, Request
|
|
|
|
from vllm.entrypoints.openai.engine.protocol import ErrorResponse
|
|
from vllm.entrypoints.serve.utils.api_utils import (
|
|
load_aware_call,
|
|
validate_json_request,
|
|
with_cancellation,
|
|
)
|
|
from vllm.logger import init_logger
|
|
|
|
from .protocol import RerankRequest, ScoreRequest
|
|
from .serving import ServingScores
|
|
|
|
router = APIRouter()
|
|
|
|
logger = init_logger(__name__)
|
|
|
|
|
|
def score(request: Request) -> ServingScores | None:
|
|
return request.app.state.serving_scores
|
|
|
|
|
|
def rerank(request: Request) -> ServingScores | None:
|
|
return request.app.state.serving_scores
|
|
|
|
|
|
@router.post(
|
|
"/score",
|
|
dependencies=[Depends(validate_json_request)],
|
|
responses={
|
|
HTTPStatus.BAD_REQUEST.value: {"model": ErrorResponse},
|
|
HTTPStatus.INTERNAL_SERVER_ERROR.value: {"model": ErrorResponse},
|
|
},
|
|
)
|
|
@with_cancellation
|
|
@load_aware_call
|
|
async def create_score(request: ScoreRequest, raw_request: Request):
|
|
handler = score(raw_request)
|
|
if handler is None:
|
|
raise NotImplementedError("The model does not support Score API")
|
|
|
|
return await handler(request, raw_request)
|
|
|
|
|
|
@router.post(
|
|
"/v1/score",
|
|
dependencies=[Depends(validate_json_request)],
|
|
responses={
|
|
HTTPStatus.BAD_REQUEST.value: {"model": ErrorResponse},
|
|
HTTPStatus.INTERNAL_SERVER_ERROR.value: {"model": ErrorResponse},
|
|
},
|
|
)
|
|
@with_cancellation
|
|
@load_aware_call
|
|
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 "
|
|
"have moved it to `/score`. Please update your client accordingly."
|
|
)
|
|
|
|
return await create_score(request, raw_request)
|
|
|
|
|
|
@router.post(
|
|
"/rerank",
|
|
dependencies=[Depends(validate_json_request)],
|
|
responses={
|
|
HTTPStatus.BAD_REQUEST.value: {"model": ErrorResponse},
|
|
HTTPStatus.INTERNAL_SERVER_ERROR.value: {"model": ErrorResponse},
|
|
},
|
|
)
|
|
@with_cancellation
|
|
@load_aware_call
|
|
async def do_rerank(request: RerankRequest, raw_request: Request):
|
|
handler = rerank(raw_request)
|
|
if handler is None:
|
|
raise NotImplementedError("The model does not support Rerank (Score) API")
|
|
|
|
return await handler(request, raw_request)
|
|
|
|
|
|
@router.post(
|
|
"/v1/rerank",
|
|
dependencies=[Depends(validate_json_request)],
|
|
responses={
|
|
HTTPStatus.BAD_REQUEST.value: {"model": ErrorResponse},
|
|
HTTPStatus.INTERNAL_SERVER_ERROR.value: {"model": ErrorResponse},
|
|
},
|
|
)
|
|
@with_cancellation
|
|
async def do_rerank_v1(request: RerankRequest, raw_request: Request):
|
|
logger.warning_once(
|
|
"To indicate that the rerank API is not part of the standard OpenAI"
|
|
" API, we have located it at `/rerank`. Please update your client "
|
|
"accordingly. (Note: Conforms to JinaAI rerank API)"
|
|
)
|
|
|
|
return await do_rerank(request, raw_request)
|
|
|
|
|
|
@router.post(
|
|
"/v2/rerank",
|
|
dependencies=[Depends(validate_json_request)],
|
|
responses={
|
|
HTTPStatus.BAD_REQUEST.value: {"model": ErrorResponse},
|
|
HTTPStatus.INTERNAL_SERVER_ERROR.value: {"model": ErrorResponse},
|
|
},
|
|
)
|
|
@with_cancellation
|
|
async def do_rerank_v2(request: RerankRequest, raw_request: Request):
|
|
return await do_rerank(request, raw_request)
|