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fix: handle optional usage field in OpenAI API #47

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merged 3 commits into from
Jun 26, 2024
Merged

fix: handle optional usage field in OpenAI API #47

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366c7ce
fix: OpenAI API handle optional usage field
drewrip Jun 7, 2024
1c90aa7
default value for tokens before timeout when no usage
drewrip Jun 10, 2024
5c267bd
safer access to the choices field
drewrip Jun 10, 2024
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18 changes: 10 additions & 8 deletions plugins/openai_plugin.py
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Original file line number Diff line number Diff line change
Expand Up @@ -223,15 +223,12 @@ def streaming_request_http(self, query: dict, user_id: int, test_end_time: float
tokens.append(token)

# Last token comes with finish_reason set.
if message.get("choices", [])[0].get("finish_reason", None):
result.output_tokens = message["usage"]["completion_tokens"]
result.input_tokens = message["usage"]["prompt_tokens"]
result.stop_reason = message["choices"][0]["finish_reason"]
if message.get("choices", [{}])[0].get("finish_reason", None):
if message.get("usage"):
result.output_tokens = message["usage"]["completion_tokens"]
result.input_tokens = message["usage"]["prompt_tokens"]

# If test duration timeout didn't happen before the last token is received,
# total tokens before the timeout will be equal to the total tokens in the response.
if not result.output_tokens_before_timeout:
result.output_tokens_before_timeout = result.output_tokens
result.stop_reason = message.get("choices", [{}])[0].get("finish_reason", None)

except KeyError:
logging.exception("KeyError, unexpected response format in line: %s", line)
Expand All @@ -248,5 +245,10 @@ def streaming_request_http(self, query: dict, user_id: int, test_end_time: float
logger.warning("Output token count not found in response, length of token list")
result.output_tokens = len(tokens)

# If test duration timeout didn't happen before the last token is received,
# total tokens before the timeout will be equal to the total tokens in the response.
if not result.output_tokens_before_timeout:
result.output_tokens_before_timeout = result.output_tokens

result.calculate_results()
return result
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