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Code Issues Actions 2 Packages Projects Releases Wiki Activity

[Feature] add prompt_tokens and completion_tokens (#3505)

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Co-authored-by: YuBaoku <49938469+EmmonsCurse@users.noreply.github.com>
This commit is contained in:
memoryCoderC
2025-08-21 14:10:06 +08:00
committed by GitHub
parent fcdc5c2c54
commit 8bf48dfab8
3 changed files with 16 additions and 0 deletions
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8
fastdeploy/entrypoints/openai/protocol.py
View File

@@ -128,6 +128,8 @@ class ChatMessage(BaseModel):
completion_token_ids: Optional[List[int]] = None
text_after_process: Optional[str] = None
raw_prediction: Optional[str] = None
prompt_tokens: Optional[str] = None
completion_tokens: Optional[str] = None
class ChatCompletionResponseChoice(BaseModel):
@@ -187,6 +189,8 @@ class DeltaMessage(BaseModel):
tool_calls: Optional[List[DeltaToolCall | ToolCall]] = None
text_after_process: Optional[str] = None
raw_prediction: Optional[str] = None
prompt_tokens: Optional[str] = None
completion_tokens: Optional[str] = None
class ChatCompletionResponseStreamChoice(BaseModel):
@@ -225,6 +229,8 @@ class CompletionResponseChoice(BaseModel):
completion_token_ids: Optional[List[int]] = None
text_after_process: Optional[str] = None
raw_prediction: Optional[str] = None
prompt_tokens: Optional[str] = None
completion_tokens: Optional[str] = None
arrival_time: Optional[float] = None
logprobs: Optional[CompletionLogprobs] = None
reasoning_content: Optional[str] = None
@@ -269,6 +275,8 @@ class CompletionResponseStreamChoice(BaseModel):
completion_token_ids: Optional[List[int]] = None
text_after_process: Optional[str] = None
raw_prediction: Optional[str] = None
prompt_tokens: Optional[str] = None
completion_tokens: Optional[str] = None
reasoning_content: Optional[str] = None
finish_reason: Optional[Literal["stop", "length", "tool_calls"]] = None
tool_calls: Optional[List[DeltaToolCall | ToolCall]] = None

4
fastdeploy/entrypoints/openai/serving_chat.py
View File

@@ -224,6 +224,7 @@ class OpenAIServingChat:
if request.return_token_ids:
choice.delta.prompt_token_ids = list(prompt_token_ids)
choice.delta.text_after_process = text_after_process
choice.delta.prompt_tokens = text_after_process
chunk = ChatCompletionStreamResponse(
id=request_id,
object=chunk_object_type,
@@ -290,6 +291,7 @@ class OpenAIServingChat:
if request.return_token_ids:
choice.delta.completion_token_ids = list(output["token_ids"])
choice.delta.raw_prediction = output.get("raw_prediction")
choice.delta.completion_tokens = output.get("raw_prediction")
if include_continuous_usage:
chunk.usage = UsageInfo(
prompt_tokens=num_prompt_tokens,
@@ -423,7 +425,9 @@ class OpenAIServingChat:
prompt_token_ids=prompt_token_ids if request.return_token_ids else None,
completion_token_ids=completion_token_ids if request.return_token_ids else None,
text_after_process=text_after_process if request.return_token_ids else None,
prompt_tokens=text_after_process if request.return_token_ids else None,
raw_prediction=output.get("raw_prediction") if request.return_token_ids else None,
completion_tokens=output.get("raw_prediction") if request.return_token_ids else None,
)
logprobs_full_res = None
if logprob_contents:

4
fastdeploy/entrypoints/openai/serving_completion.py
View File

@@ -317,6 +317,7 @@ class OpenAIServingCompletion:
text="",
prompt_token_ids=list(prompt_batched_token_ids[idx]),
text_after_process=text_after_process_list[idx],
prompt_tokens=text_after_process_list[idx],
completion_token_ids=None,
)
],
@@ -349,6 +350,7 @@ class OpenAIServingCompletion:
prompt_token_ids=None,
completion_token_ids=output.get("token_ids") if request.return_token_ids else None,
raw_prediction=output.get("raw_prediction") if request.return_token_ids else None,
completion_tokens=output.get("raw_prediction") if request.return_token_ids else None,
tool_calls=output.get("tool_call_content"),
reasoning_content=output.get("reasoning_content"),
arrival_time=arrival_time,
@@ -467,7 +469,9 @@ class OpenAIServingCompletion:
prompt_token_ids=prompt_token_ids if request.return_token_ids else None,
completion_token_ids=completion_token_ids if request.return_token_ids else None,
raw_prediction=output.get("raw_prediction") if request.return_token_ids else None,
completion_tokens=output.get("raw_prediction") if request.return_token_ids else None,
text_after_process=text_after_process_list[idx] if request.return_token_ids else None,
prompt_tokens=text_after_process_list[idx] if request.return_token_ids else None,
reasoning_content=output.get("reasoning_content"),
tool_calls=output.get("tool_call_content"),
logprobs=aggregated_logprobs,