wehub-resource-sync
73 lines
2.6 KiB
Python
73 lines
2.6 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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from http import HTTPStatus
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from fastapi import APIRouter, Depends, Request
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from fastapi.responses import JSONResponse
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from vllm.entrypoints.openai.chat_completion.protocol import ChatCompletionRequest
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from vllm.entrypoints.openai.completion.protocol import CompletionRequest
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from vllm.entrypoints.openai.engine.protocol import ErrorResponse
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from vllm.entrypoints.serve.utils.api_utils import validate_json_request
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from vllm.logger import init_logger
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from ..token_in_token_out.protocol import GenerateRequest
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from .serving import ServingRender
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logger = init_logger(__name__)
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router = APIRouter()
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def render(request: Request) -> ServingRender | None:
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return getattr(request.app.state, "serving_render", None)
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@router.post(
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"/v1/chat/completions/render",
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dependencies=[Depends(validate_json_request)],
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response_model=GenerateRequest,
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responses={
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HTTPStatus.BAD_REQUEST.value: {"model": ErrorResponse},
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HTTPStatus.NOT_FOUND.value: {"model": ErrorResponse},
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HTTPStatus.NOT_IMPLEMENTED.value: {"model": ErrorResponse},
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HTTPStatus.INTERNAL_SERVER_ERROR.value: {"model": ErrorResponse},
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},
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)
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async def render_chat_completion(request: ChatCompletionRequest, raw_request: Request):
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handler = render(raw_request)
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if handler is None:
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raise NotImplementedError(
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"The model does not support Chat Completions Render API"
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)
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result = await handler.render_chat_request(request)
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if isinstance(result, ErrorResponse):
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return JSONResponse(content=result.model_dump(), status_code=result.error.code)
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return JSONResponse(content=result.model_dump())
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@router.post(
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"/v1/completions/render",
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dependencies=[Depends(validate_json_request)],
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response_model=list[GenerateRequest],
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responses={
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HTTPStatus.BAD_REQUEST.value: {"model": ErrorResponse},
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HTTPStatus.NOT_FOUND.value: {"model": ErrorResponse},
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HTTPStatus.INTERNAL_SERVER_ERROR.value: {"model": ErrorResponse},
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},
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)
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async def render_completion(request: CompletionRequest, raw_request: Request):
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handler = render(raw_request)
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if handler is None:
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raise NotImplementedError("The model does not support Completions Render API")
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result = await handler.render_completion_request(request)
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if isinstance(result, ErrorResponse):
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return JSONResponse(content=result.model_dump(), status_code=result.error.code)
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return JSONResponse(content=[item.model_dump() for item in result])
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