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Add vllm api_server input output log #12962

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merged 1 commit into from
Mar 12, 2025
Merged

Add vllm api_server input output log #12962

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46 changes: 45 additions & 1 deletion python/llm/src/ipex_llm/vllm/xpu/entrypoints/openai/api_server.py
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Original file line number Diff line number Diff line change
Expand Up @@ -361,6 +361,33 @@ async def show_version():
return JSONResponse(content=ver)


save_dict = {}
import os
flag = os.getenv("VLLM_LOG_OUTPUT", None)
async def stream_generator(generator, request, request_id):
async for chunk in generator:
if request_id not in save_dict:
save_dict[request_id] = ""
import json
try:
data = chunk.strip()
if data.startswith('data: '):
data = data[len('data: '):]
else:
yield chunk
json_data = json.loads(data)
if 'choices' in json_data and len(json_data['choices']) > 0:
choice = json_data['choices'][0]
if 'delta' in choice:
save_dict[request_id] += choice["delta"]["content"]
elif 'text' in choice:
save_dict[request_id] += choice["text"]
except json.JSONDecodeError:
print(f"Received request_id: {request_id}, request: {request} content: {save_dict[request_id]}")
pass # Done
yield chunk


@router.post("/v1/chat/completions")
@with_cancellation
async def create_chat_completion(request: ChatCompletionRequest,
Expand All @@ -370,15 +397,24 @@ async def create_chat_completion(request: ChatCompletionRequest,
return base(raw_request).create_error_response(
message="The model does not support Chat Completions API")

if flag is not None:
request_id = "chatcmpl-" \
f"{handler._base_request_id(raw_request, request.request_id)}"
print(f"First received request_id: {request_id}, request: {request}")

generator = await handler.create_chat_completion(request, raw_request)

if isinstance(generator, ErrorResponse):
return JSONResponse(content=generator.model_dump(),
status_code=generator.code)

elif isinstance(generator, ChatCompletionResponse):
if flag is not None:
print(f"Received request-id:{request_id}, request:{request}, Output:{generator.model_dump()}")
return JSONResponse(content=generator.model_dump())

if flag is not None:
return StreamingResponse(content=stream_generator(generator, request, request_id), media_type="text/event-stream")
return StreamingResponse(content=generator, media_type="text/event-stream")


Expand All @@ -390,13 +426,21 @@ async def create_completion(request: CompletionRequest, raw_request: Request):
return base(raw_request).create_error_response(
message="The model does not support Completions API")

if flag is not None:
request_id = f"cmpl-{handler._base_request_id(raw_request)}"
print(f"First received request_id: {request_id}, request: {request}")

generator = await handler.create_completion(request, raw_request)
if isinstance(generator, ErrorResponse):
return JSONResponse(content=generator.model_dump(),
status_code=generator.code)
elif isinstance(generator, CompletionResponse):
if flag is not None:
print(f"Received request-id:{request_id}, request:{request}, Output:{generator.model_dump()}")
return JSONResponse(content=generator.model_dump())


if flag is not None:
return StreamingResponse(content=stream_generator(generator, request, request_id), media_type="text/event-stream")
return StreamingResponse(content=generator, media_type="text/event-stream")


Expand Down