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Align completion and chat_completion response to OpenAI API (#4637)

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This commit is contained in:
Yuhong Guo
2025-03-21 13:59:04 +08:00
committed by GitHub
parent c6ec70290f
commit 417fc72f6f
1 changed files with 64 additions and 6 deletions
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70
python/sglang/srt/openai_api/adapter.py
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@@ -314,6 +314,7 @@ async def process_batch(tokenizer_manager, batch_id: str, batch_request: BatchRe
)
try:
created = int(time.time())
ret = await tokenizer_manager.generate_request(adapted_request).__anext__()
if not isinstance(ret, list):
ret = [ret]
@@ -321,13 +322,19 @@ async def process_batch(tokenizer_manager, batch_id: str, batch_request: BatchRe
responses = v1_chat_generate_response(
request,
ret,
created,
to_file=True,
cache_report=tokenizer_manager.server_args.enable_cache_report,
tool_call_parser=tokenizer_manager.server_args.tool_call_parser,
)
else:
responses = v1_generate_response(
request, ret, tokenizer_manager, to_file=True
request,
ret,
tokenizer_manager,
created,
to_file=True,
cache_report=tokenizer_manager.server_args.enable_cache_report,
)
except Exception as e:
@@ -577,7 +584,9 @@ def v1_generate_request(
return adapted_request, all_requests if len(all_requests) > 1 else all_requests[0]
def v1_generate_response(request, ret, tokenizer_manager, to_file=False):
def v1_generate_response(
request, ret, tokenizer_manager, created, to_file=False, cache_report=False
):
choices = []
echo = False
@@ -675,7 +684,7 @@ def v1_generate_response(request, ret, tokenizer_manager, to_file=False):
# remain the same but if needed we can change that
"id": ret[i]["meta_info"]["id"],
"object": "text_completion",
"created": int(time.time()),
"created": created,
"model": request[i].model,
"choices": choice,
"usage": {
@@ -694,14 +703,19 @@ def v1_generate_response(request, ret, tokenizer_manager, to_file=False):
ret[i]["meta_info"]["prompt_tokens"] for i in range(0, len(ret), request.n)
)
completion_tokens = sum(item["meta_info"]["completion_tokens"] for item in ret)
cached_tokens = sum(item["meta_info"].get("cached_tokens", 0) for item in ret)
response = CompletionResponse(
id=ret[0]["meta_info"]["id"],
model=request.model,
created=created,
choices=choices,
usage=UsageInfo(
prompt_tokens=prompt_tokens,
completion_tokens=completion_tokens,
total_tokens=prompt_tokens + completion_tokens,
prompt_tokens_details=(
{"cached_tokens": cached_tokens} if cache_report else None
),
),
)
return response
@@ -710,6 +724,7 @@ def v1_generate_response(request, ret, tokenizer_manager, to_file=False):
async def v1_completions(tokenizer_manager, raw_request: Request):
request_json = await raw_request.json()
all_requests = [CompletionRequest(**request_json)]
created = int(time.time())
adapted_request, request = v1_generate_request(all_requests)
if adapted_request.stream:
@@ -719,6 +734,8 @@ async def v1_completions(tokenizer_manager, raw_request: Request):
n_prev_tokens = {}
prompt_tokens = {}
completion_tokens = {}
cached_tokens = {}
try:
async for content in tokenizer_manager.generate_request(
adapted_request, raw_request
@@ -731,6 +748,7 @@ async def v1_completions(tokenizer_manager, raw_request: Request):
text = content["text"]
prompt_tokens[index] = content["meta_info"]["prompt_tokens"]
completion_tokens[index] = content["meta_info"]["completion_tokens"]
cached_tokens[index] = content["meta_info"].get("cached_tokens", 0)
if not stream_buffer: # The first chunk
if request.echo:
@@ -803,6 +821,7 @@ async def v1_completions(tokenizer_manager, raw_request: Request):
)
chunk = CompletionStreamResponse(
id=content["meta_info"]["id"],
created=created,
object="text_completion",
choices=[choice_data],
model=request.model,
@@ -821,14 +840,24 @@ async def v1_completions(tokenizer_manager, raw_request: Request):
total_completion_tokens = sum(
tokens for tokens in completion_tokens.values()
)
cache_report = tokenizer_manager.server_args.enable_cache_report
if cache_report:
cached_tokens_sum = sum(
tokens for tokens in cached_tokens.values()
)
prompt_tokens_details = {"cached_tokens": cached_tokens_sum}
else:
prompt_tokens_details = None
usage = UsageInfo(
prompt_tokens=total_prompt_tokens,
completion_tokens=total_completion_tokens,
total_tokens=total_prompt_tokens + total_completion_tokens,
prompt_tokens_details=prompt_tokens_details,
)
final_usage_chunk = CompletionStreamResponse(
id=content["meta_info"]["id"],
created=created,
choices=[],
model=request.model,
usage=usage,
@@ -859,7 +888,13 @@ async def v1_completions(tokenizer_manager, raw_request: Request):
if not isinstance(ret, list):
ret = [ret]
response = v1_generate_response(request, ret, tokenizer_manager)
response = v1_generate_response(
request,
ret,
tokenizer_manager,
created,
cache_report=tokenizer_manager.server_args.enable_cache_report,
)
return response
@@ -1045,6 +1080,7 @@ def v1_chat_generate_request(
def v1_chat_generate_response(
request,
ret,
created,
to_file=False,
cache_report=False,
tool_call_parser=None,
@@ -1196,7 +1232,7 @@ def v1_chat_generate_response(
# remain the same but if needed we can change that
"id": ret[i]["meta_info"]["id"],
"object": "chat.completion",
"created": int(time.time()),
"created": created,
"model": request[i].model,
"choices": choice,
"usage": {
@@ -1218,6 +1254,7 @@ def v1_chat_generate_response(
cached_tokens = sum(item["meta_info"].get("cached_tokens", 0) for item in ret)
response = ChatCompletionResponse(
id=ret[0]["meta_info"]["id"],
created=created,
model=request.model,
choices=choices,
usage=UsageInfo(
@@ -1232,9 +1269,12 @@ def v1_chat_generate_response(
return response
async def v1_chat_completions(tokenizer_manager, raw_request: Request):
async def v1_chat_completions(
tokenizer_manager, raw_request: Request, cache_report=False
):
request_json = await raw_request.json()
all_requests = [ChatCompletionRequest(**request_json)]
created = int(time.time())
adapted_request, request = v1_chat_generate_request(all_requests, tokenizer_manager)
if adapted_request.stream:
@@ -1247,6 +1287,7 @@ async def v1_chat_completions(tokenizer_manager, raw_request: Request):
n_prev_tokens = {}
prompt_tokens = {}
completion_tokens = {}
cached_tokens = {}
try:
async for content in tokenizer_manager.generate_request(
adapted_request, raw_request
@@ -1260,6 +1301,7 @@ async def v1_chat_completions(tokenizer_manager, raw_request: Request):
prompt_tokens[index] = content["meta_info"]["prompt_tokens"]
completion_tokens[index] = content["meta_info"]["completion_tokens"]
cached_tokens[index] = content["meta_info"].get("cached_tokens", 0)
if request.logprobs:
logprobs = to_openai_style_logprobs(
output_token_logprobs=content["meta_info"][
@@ -1339,6 +1381,7 @@ async def v1_chat_completions(tokenizer_manager, raw_request: Request):
)
chunk = ChatCompletionStreamResponse(
id=content["meta_info"]["id"],
created=created,
choices=[choice_data],
model=request.model,
)
@@ -1378,6 +1421,7 @@ async def v1_chat_completions(tokenizer_manager, raw_request: Request):
)
chunk = ChatCompletionStreamResponse(
id=content["meta_info"]["id"],
created=created,
choices=[choice_data],
model=request.model,
)
@@ -1414,6 +1458,7 @@ async def v1_chat_completions(tokenizer_manager, raw_request: Request):
)
chunk = ChatCompletionStreamResponse(
id=content["meta_info"]["id"],
created=created,
choices=[choice_data],
model=request.model,
)
@@ -1464,6 +1509,7 @@ async def v1_chat_completions(tokenizer_manager, raw_request: Request):
)
chunk = ChatCompletionStreamResponse(
id=content["meta_info"]["id"],
created=created,
choices=[choice_data],
model=request.model,
)
@@ -1491,6 +1537,7 @@ async def v1_chat_completions(tokenizer_manager, raw_request: Request):
)
chunk = ChatCompletionStreamResponse(
id=content["meta_info"]["id"],
created=created,
choices=[choice_data],
model=request.model,
)
@@ -1506,14 +1553,24 @@ async def v1_chat_completions(tokenizer_manager, raw_request: Request):
total_completion_tokens = sum(
tokens for tokens in completion_tokens.values()
)
cache_report = tokenizer_manager.server_args.enable_cache_report
if cache_report:
cached_tokens_sum = sum(
tokens for tokens in cached_tokens.values()
)
prompt_tokens_details = {"cached_tokens": cached_tokens_sum}
else:
prompt_tokens_details = None
usage = UsageInfo(
prompt_tokens=total_prompt_tokens,
completion_tokens=total_completion_tokens,
total_tokens=total_prompt_tokens + total_completion_tokens,
prompt_tokens_details=prompt_tokens_details,
)
final_usage_chunk = ChatCompletionStreamResponse(
id=content["meta_info"]["id"],
created=created,
choices=[],
model=request.model,
usage=usage,
@@ -1546,6 +1603,7 @@ async def v1_chat_completions(tokenizer_manager, raw_request: Request):
response = v1_chat_generate_response(
request,
ret,
created,
cache_report=tokenizer_manager.server_args.enable_cache_report,
tool_call_parser=tokenizer_manager.server_args.tool_call_parser,
reasoning_parser=tokenizer_manager.server_args.reasoning_parser,