#7978 Could not parse response content as the length limit was reached - CompletionUsage(completion_tokens=16384, prompt_token

Could not parse response content as the length limit was reached - CompletionUsage(completion_tokens=16384, prompt_tokens=2342, total_tokens=18726, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetails(audio_tokens=None, cached_tokens=2176), prompt_cache_hit_tokens=2176, prompt_cache_miss_tokens=166)
Traceback (most recent call last):
File "D:\workplace\pyvideotrans\videotrans\translator\_base.py", line 70, in run

return self._run_srt(

File "D:\workplace\pyvideotrans\videotrans\translator\_base.py", line 153, in _run_srt

result = self._item_task(srt_str)

File "D:\workplace\pyvideotrans.venv\lib\site-packages\tenacity\__init__.py", line 338, in wrapped_f

return copy(f, *args, **kw)

File "D:\workplace\pyvideotrans.venv\lib\site-packages\tenacity\__init__.py", line 477, in call

do = self.iter(retry_state=retry_state)

File "D:\workplace\pyvideotrans.venv\lib\site-packages\tenacity\__init__.py", line 378, in iter

result = a

......
of the above exception, another exception occurred:

Traceback (most recent call last):
File "D:\workplace\pyvideotrans\videotrans\task\only_one.py", line 89, in run

trk.trans()

File "D:\workplace\pyvideotrans\videotrans\task\_stage_translate.py", line 31, in trans

target_srt = run_trans(

File "D:\workplace\pyvideotrans\videotrans\translator\_runner.py", line 67, in run

return _cls(**kwargs).run()#type:ignore

File "D:\workplace\pyvideotrans\videotrans\translator\_base.py", line 73, in run

raise e.last_attempt.exception()

File "D:\workplace\pyvideotrans.venv\lib\site-packages\tenacity\__init__.py", line 480, in call

result = fn(*args, **kwargs)

File "D:\workplace\pyvideotrans\videotrans\translator\_openaicompat.py", line 104, in _item_task

raise LengthFinishReasonError(completion=response)

openai.LengthFinishReasonError: Could not parse response content as the length limit was reached - CompletionUsage(completion_tokens=16384, prompt_tokens=2342, total_tokens=18726, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetails(audio_tokens=None, cached_tokens=2176), prompt_cache_hit_tokens=2176, prompt_cache_miss_tokens=166)

cfg=[TaskCfgVTT]当前工作模式: 翻译视频 单视频模式
原始输入文件名: D:/BaiduNetdiskDownload/莫伊拉回声最终成片.mp4,
输出结果保存到文件夹: C:/Users/Administrator/Desktop/莫伊拉回声最终成片-mp4,
临时文件夹: D:/workplace/pyvideotrans/tmp/10068/5df7e9259f
已选 清理已存在
已启用CUDA加速
已选 降噪
已选 识别说话人，最大说话人数量不限制
语音识别:faster-whisper(内置), large-v3-turbo, 发音语言: 英语, 断句方式:默认断句
翻译渠道:DeepSeek,原始语言:英语,目标语言:德语, 已选 发送完整字幕
配音渠道:F5-TTS(内置), 角色:clone, 配音语言:德语, 已选 二次语音识别
音量:+0%, 语速:+0%, 已选 音频加速, 已选 视频慢速
字幕: 嵌入硬字幕
已选 分离人声与背景声, 已选 重新嵌入背景声, 背景音量0.8, 背景声音时长 短于 视频时长时: 拉长(降速播放),存在分离后的纯净人声文件,存在分离后的背景声音文件
代理地址:http://127.0.0.1:8800
video_duration_ms=2089400