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[BugFix] Fix chat API continuous usage stats (#9357)

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Nick Hill 2024-10-15 07:19:48 +01:00 committed by GitHub
parent 55e081fbad
commit e9d517f276
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2 changed files with 53 additions and 76 deletions
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14
tests/entrypoints/openai/test_chat.py
View File

@ -433,18 +433,28 @@ async def test_chat_completion_stream_options(client: openai.AsyncOpenAI,
model=model_name,
messages=messages,
max_tokens=10,
extra_body=dict(min_tokens=10),
temperature=0.0,
stream=True,
stream_options={
"include_usage": True,
"continuous_usage_stats": True
"continuous_usage_stats": True,
},
)
last_completion_tokens = 0
async for chunk in stream:
assert chunk.usage.prompt_tokens >= 0
assert chunk.usage.completion_tokens >= 0
assert last_completion_tokens == 0 or \
chunk.usage.completion_tokens > last_completion_tokens or \
(
not chunk.choices and
chunk.usage.completion_tokens == last_completion_tokens
)
assert chunk.usage.total_tokens == (chunk.usage.prompt_tokens +
chunk.usage.completion_tokens)
last_completion_tokens = chunk.usage.completion_tokens
assert last_completion_tokens == 10
# NOTE: Not sure why, but when I place this after `test_guided_regex_chat`

115
vllm/entrypoints/openai/serving_chat.py
View File

@ -330,6 +330,14 @@ class OpenAIServingChat(OpenAIServing):
yield "data: [DONE]\n\n"
return
stream_options = request.stream_options
if stream_options:
include_usage = stream_options.include_usage
include_continuous_usage = include_usage and \
stream_options.continuous_usage_stats
else:
include_usage, include_continuous_usage = False, False
try:
async for res in result_generator:
if res.prompt_token_ids is not None:
@ -348,7 +356,6 @@ class OpenAIServingChat(OpenAIServing):
# NOTE num_choices defaults to 1 so this usually executes
# once per request
for i in range(num_choices):
tool_parser = tool_parsers[i]
choice_data = ChatCompletionResponseStreamChoice(
index=i,
delta=DeltaMessage(
@ -364,19 +371,12 @@ class OpenAIServingChat(OpenAIServing):
choices=[choice_data],
model=model_name)
# if usage should be included
if (request.stream_options
and request.stream_options.include_usage):
# if continuous usage stats are requested, add it
if request.stream_options.continuous_usage_stats:
usage = UsageInfo(
prompt_tokens=num_prompt_tokens,
completion_tokens=0,
total_tokens=num_prompt_tokens)
chunk.usage = usage
# otherwise don't
else:
chunk.usage = None
# if continuous usage stats are requested, add it
if include_continuous_usage:
chunk.usage = UsageInfo(
prompt_tokens=num_prompt_tokens,
completion_tokens=0,
total_tokens=num_prompt_tokens)
data = chunk.model_dump_json(exclude_unset=True)
yield f"data: {data}\n\n"
@ -404,17 +404,11 @@ class OpenAIServingChat(OpenAIServing):
created=created_time,
choices=[choice_data],
model=model_name)
if (request.stream_options and
request.stream_options.include_usage):
if (request.stream_options.
continuous_usage_stats):
usage = UsageInfo(
prompt_tokens=num_prompt_tokens,
completion_tokens=0,
total_tokens=num_prompt_tokens)
chunk.usage = usage
else:
chunk.usage = None
if include_continuous_usage:
chunk.usage = UsageInfo(
prompt_tokens=num_prompt_tokens,
completion_tokens=0,
total_tokens=num_prompt_tokens)
data = chunk.model_dump_json(
exclude_unset=True)
@ -494,36 +488,11 @@ class OpenAIServingChat(OpenAIServing):
if output.finish_reason is None:
# Send token-by-token response for each request.n
choice_data = ChatCompletionResponseStreamChoice(
index=i,
delta=delta_message,
logprobs=logprobs,
finish_reason=None)
chunk = ChatCompletionStreamResponse(
id=request_id,
object=chunk_object_type,
created=created_time,
choices=[choice_data],
model=model_name)
# handle usage stats if requested & if continuous
if (request.stream_options
and request.stream_options.include_usage):
if request.stream_options.continuous_usage_stats:
completion_tokens = len(output.token_ids)
usage = UsageInfo(
prompt_tokens=num_prompt_tokens,
completion_tokens=completion_tokens,
total_tokens=num_prompt_tokens +
completion_tokens,
)
chunk.usage = usage
else:
chunk.usage = None
data = chunk.model_dump_json(exclude_unset=True)
yield f"data: {data}\n\n"
# if the model is finished generating
else:
@ -573,34 +542,32 @@ class OpenAIServingChat(OpenAIServing):
finish_reason=output.finish_reason
if not auto_tools_called else "tool_calls",
stop_reason=output.stop_reason)
chunk = ChatCompletionStreamResponse(
id=request_id,
object=chunk_object_type,
created=created_time,
choices=[choice_data],
model=model_name)
if (request.stream_options
and request.stream_options.include_usage):
if request.stream_options.continuous_usage_stats:
completion_tokens = len(output.token_ids)
usage = UsageInfo(
prompt_tokens=num_prompt_tokens,
completion_tokens=completion_tokens,
total_tokens=num_prompt_tokens +
completion_tokens,
)
chunk.usage = usage
else:
chunk.usage = None
data = chunk.model_dump_json(exclude_unset=True)
yield f"data: {data}\n\n"
finish_reason_sent[i] = True
chunk = ChatCompletionStreamResponse(
id=request_id,
object=chunk_object_type,
created=created_time,
choices=[choice_data],
model=model_name)
# handle usage stats if requested & if continuous
if include_continuous_usage:
completion_tokens = previous_num_tokens[i]
chunk.usage = UsageInfo(
prompt_tokens=num_prompt_tokens,
completion_tokens=completion_tokens,
total_tokens=num_prompt_tokens + completion_tokens,
)
data = chunk.model_dump_json(exclude_unset=True)
yield f"data: {data}\n\n"
# once the final token is handled, if stream_options.include_usage
# is sent, send the usage
if (request.stream_options
and request.stream_options.include_usage):
completion_tokens = previous_num_tokens[i]
if include_usage:
completion_tokens = sum(previous_num_tokens)
final_usage = UsageInfo(
prompt_tokens=num_prompt_tokens,
completion_tokens=completion_tokens,