Sync from v0.13

vllm/entrypoints/serve/tokenize/api_router.py

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+# SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+
+
+from http import HTTPStatus
+
+from fastapi import APIRouter, Depends, FastAPI, HTTPException, Request
+from fastapi.exceptions import RequestValidationError
+from fastapi.responses import JSONResponse
+from typing_extensions import assert_never
+
+from vllm.entrypoints.openai.api_server import validate_json_request
+from vllm.entrypoints.openai.protocol import (
+    DetokenizeRequest,
+    DetokenizeResponse,
+    ErrorResponse,
+    TokenizeRequest,
+    TokenizeResponse,
+)
+from vllm.entrypoints.serve.tokenize.serving import OpenAIServingTokenization
+from vllm.entrypoints.utils import (
+    with_cancellation,
+)
+from vllm.logger import init_logger
+
+logger = init_logger(__name__)
+
+
+def tokenization(request: Request) -> OpenAIServingTokenization:
+    return request.app.state.openai_serving_tokenization
+
+
+router = APIRouter()
+
+
+@router.post(
+    "/tokenize",
+    dependencies=[Depends(validate_json_request)],
+    responses={
+        HTTPStatus.BAD_REQUEST.value: {"model": ErrorResponse},
+        HTTPStatus.NOT_FOUND.value: {"model": ErrorResponse},
+        HTTPStatus.INTERNAL_SERVER_ERROR.value: {"model": ErrorResponse},
+        HTTPStatus.NOT_IMPLEMENTED.value: {"model": ErrorResponse},
+    },
+)
+@with_cancellation
+async def tokenize(request: TokenizeRequest, raw_request: Request):
+    handler = tokenization(raw_request)
+
+    try:
+        generator = await handler.create_tokenize(request, raw_request)
+    except NotImplementedError as e:
+        raise HTTPException(
+            status_code=HTTPStatus.NOT_IMPLEMENTED.value, detail=str(e)
+        ) from e
+    except Exception as e:
+        raise HTTPException(
+            status_code=HTTPStatus.INTERNAL_SERVER_ERROR.value, detail=str(e)
+        ) from e
+
+    if isinstance(generator, ErrorResponse):
+        return JSONResponse(
+            content=generator.model_dump(), status_code=generator.error.code
+        )
+    elif isinstance(generator, TokenizeResponse):
+        return JSONResponse(content=generator.model_dump())
+
+    assert_never(generator)
+
+
+@router.post(
+    "/detokenize",
+    dependencies=[Depends(validate_json_request)],
+    responses={
+        HTTPStatus.BAD_REQUEST.value: {"model": ErrorResponse},
+        HTTPStatus.NOT_FOUND.value: {"model": ErrorResponse},
+        HTTPStatus.INTERNAL_SERVER_ERROR.value: {"model": ErrorResponse},
+    },
+)
+@with_cancellation
+async def detokenize(request: DetokenizeRequest, raw_request: Request):
+    handler = tokenization(raw_request)
+
+    try:
+        generator = await handler.create_detokenize(request, raw_request)
+    except OverflowError as e:
+        raise RequestValidationError(errors=[str(e)]) from e
+    except Exception as e:
+        raise HTTPException(
+            status_code=HTTPStatus.INTERNAL_SERVER_ERROR.value, detail=str(e)
+        ) from e
+
+    if isinstance(generator, ErrorResponse):
+        return JSONResponse(
+            content=generator.model_dump(), status_code=generator.error.code
+        )
+    elif isinstance(generator, DetokenizeResponse):
+        return JSONResponse(content=generator.model_dump())
+
+    assert_never(generator)
+
+
+def attach_router(app: FastAPI):
+    if getattr(app.state.args, "enable_tokenizer_info_endpoint", False):
+        """Conditionally register the tokenizer info endpoint if enabled."""
+
+        @router.get("/tokenizer_info")
+        async def get_tokenizer_info(raw_request: Request):
+            """Get comprehensive tokenizer information."""
+            result = await tokenization(raw_request).get_tokenizer_info()
+            return JSONResponse(
+                content=result.model_dump(),
+                status_code=result.error.code
+                if isinstance(result, ErrorResponse)
+                else 200,
+            )
+
+    app.include_router(router)