[Frontend] Support for chat completions input in the tokenize endpoint (#5923)

This commit is contained in:
sasha0552
2024-07-16 12:18:09 +00:00
committed by GitHub
parent d97011512e
commit 7a3d2a5b95
9 changed files with 386 additions and 244 deletions

View File

@@ -16,10 +16,7 @@ from vllm.entrypoints.openai.protocol import (CompletionLogProbs,
CompletionResponseChoice,
CompletionResponseStreamChoice,
CompletionStreamResponse,
DetokenizeRequest,
DetokenizeResponse,
TokenizeRequest,
TokenizeResponse, UsageInfo)
UsageInfo)
# yapf: enable
from vllm.entrypoints.openai.serving_engine import (LoRAModulePath,
OpenAIServing,
@@ -457,29 +454,3 @@ class OpenAIServingCompletion(OpenAIServing):
tokens=out_tokens,
top_logprobs=out_top_logprobs,
)
async def create_tokenize(self,
request: TokenizeRequest) -> TokenizeResponse:
error_check_ret = await self._check_model(request)
if error_check_ret is not None:
return error_check_ret
(input_ids, input_text) = self._validate_prompt_and_tokenize(
request,
prompt=request.prompt,
add_special_tokens=request.add_special_tokens)
return TokenizeResponse(tokens=input_ids,
count=len(input_ids),
max_model_len=self.max_model_len)
async def create_detokenize(
self, request: DetokenizeRequest) -> DetokenizeResponse:
error_check_ret = await self._check_model(request)
if error_check_ret is not None:
return error_check_ret
(input_ids, input_text) = self._validate_prompt_and_tokenize(
request, prompt_ids=request.tokens)
return DetokenizeResponse(prompt=input_text)