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4 changes: 4 additions & 0 deletions vllm/entrypoints/openai/protocol.py
Original file line number Diff line number Diff line change
Expand Up @@ -78,6 +78,8 @@ class ChatCompletionRequest(BaseModel):
echo: Optional[bool] = False
repetition_penalty: Optional[float] = 1.0
min_p: Optional[float] = 0.0
prefix_pos: Optional[int] = None
prefix_stop: Optional[str] = None
include_stop_str_in_output: Optional[bool] = False
length_penalty: Optional[float] = 1.0

Expand Down Expand Up @@ -131,6 +133,8 @@ class CompletionRequest(BaseModel):
spaces_between_special_tokens: Optional[bool] = True
repetition_penalty: Optional[float] = 1.0
min_p: Optional[float] = 0.0
prefix_pos: Optional[int] = None
prefix_stop: Optional[str] = None
include_stop_str_in_output: Optional[bool] = False
length_penalty: Optional[float] = 1.0

Expand Down
10 changes: 9 additions & 1 deletion vllm/entrypoints/openai/serving_chat.py
Original file line number Diff line number Diff line change
Expand Up @@ -67,8 +67,16 @@ async def create_chat_completion(
except ValueError as e:
return self.create_error_response(str(e))

prefix_pos = request.prefix_pos
if request.prefix_stop is not None and request.prefix_stop in prompt:
prefix_index = prompt.index(request.prefix_stop)
prefix_pos = len(self.tokenizer.encode(prompt[:prefix_index])) - 1
prompt = prompt.replace(request.prefix_stop, '')

result_generator = self.engine.generate(prompt, sampling_params,
request_id, token_ids)
request_id, token_ids,
prefix_pos)

# Streaming response
if request.stream:
return self.chat_completion_stream_generator(
Expand Down
11 changes: 10 additions & 1 deletion vllm/entrypoints/openai/serving_completion.py
Original file line number Diff line number Diff line change
Expand Up @@ -286,19 +286,28 @@ async def create_completion(self, request: CompletionRequest,
sampling_params = request.to_sampling_params()
prompt_is_tokens, prompts = parse_prompt_format(request.prompt)

prefix_pos = request.prefix_pos
for i, prompt in enumerate(prompts):
if prompt_is_tokens:
input_ids = self._validate_prompt_and_tokenize(
request, prompt_ids=prompt)
else:
# Parse prefix position by prompt and prefix_stop indicator
if request.prefix_stop is not None and request.prefix_stop in prompt:
prefix_index = prompt.index(request.prefix_stop)
prefix_pos = len(
self.tokenizer.encode(prompt[:prefix_index])) - 1
prompt = prompt.replace(request.prefix_stop, '')

input_ids = self._validate_prompt_and_tokenize(
request, prompt=prompt)

generators.append(
self.engine.generate(None,
sampling_params,
f"{request_id}-{i}",
prompt_token_ids=input_ids))
prompt_token_ids=input_ids,
prefix_pos=prefix_pos))
except ValueError as e:
return self.create_error_response(str(e))

Expand Down