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fix: Fix the parsing error of evalscope with the inference returned by the sglang engine. #261

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fix: Fix the parsing error of evalscope with the inference returned by the sglang engine. #261

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56 changes: 32 additions & 24 deletions evalscope/perf/plugin/api/openai_api.py
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Original file line number Diff line number Diff line change
Expand Up @@ -112,35 +112,43 @@ def parse_responses(self, responses, request: Any = None, **kwargs) -> Dict:
delta_contents = {}
input_tokens = None
output_tokens = None

for response in responses:
js = json.loads(response)
if js['object'] == 'chat.completion':
for choice in js['choices']:
delta_contents[choice['index']] = [choice['message']['content']]
input_tokens = js['usage']['prompt_tokens']
output_tokens = js['usage']['completion_tokens']
elif js['object'] == 'text_completion':
for choice in js['choices']:
delta_contents[choice['index']] = [choice['text']]
input_tokens = js['usage']['prompt_tokens']
output_tokens = js['usage']['completion_tokens']
elif js['object'] == 'chat.completion.chunk':
if 'choices' in js:
if 'object' in js:
if js['object'] == 'chat.completion':
for choice in js['choices']:
if 'delta' in choice and 'index' in choice:
delta = choice['delta']
idx = choice['index']
if 'content' in delta:
delta_content = delta['content']
if idx in delta_contents:
delta_contents[idx].append(delta_content)
else:
delta_contents[idx] = [delta_content]
# usage in chunk: {"id":"","object":"chat.completion.chunk","created":1718269986,"model":"llama3",
# "choices":[],"usage":{"prompt_tokens":32,"total_tokens":384,"completion_tokens":352}}
if 'usage' in js and js['usage']:
delta_contents[choice['index']] = [choice['message']['content']]
input_tokens = js['usage']['prompt_tokens']
output_tokens = js['usage']['completion_tokens']
elif js['object'] == 'text_completion':
for choice in js['choices']:
delta_contents[choice['index']] = [choice['text']]
input_tokens = js['usage']['prompt_tokens']
output_tokens = js['usage']['completion_tokens']
elif js['object'] == 'chat.completion.chunk':
if 'choices' in js:
for choice in js['choices']:
if 'delta' in choice and 'index' in choice:
delta = choice['delta']
idx = choice['index']
if 'content' in delta:
delta_content = delta['content']
if idx in delta_contents:
delta_contents[idx].append(delta_content)
else:
delta_contents[idx] = [delta_content]
# usage in chunk
if 'usage' in js and js['usage']:
input_tokens = js['usage']['prompt_tokens']
output_tokens = js['usage']['completion_tokens']
else:
if 'usage' in js and js['usage']:
input_tokens = js['usage'].get('prompt_tokens', 0)
output_tokens = js['usage'].get('completion_tokens', 0)
else:
logger.warning('No `object` or `usage` information found in response.')

if (input_tokens is None and output_tokens is None and self.tokenizer is not None):
input_tokens = 0
output_tokens = 0
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