内容太长超出最大允许Token，请减小内容或增大max_token,或者降低每次发送字幕行数
Could not parse response content as the length limit was reached - CompletionUsage(completion_tokens=8196, prompt_tokens=1946, total_tokens=10142, completion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=None, audio_tokens=0, reasoning_tokens=0, rejected_prediction_tokens=None, image_tokens=0), prompt_tokens_details=PromptTokensDetails(audio_tokens=0, cached_tokens=0, cache_write_tokens=0, video_tokens=0), cost=0.102244, is_byok=False, cost_details={'upstream_inference_cost': 0.102244, 'upstream_inference_prompt_cost': 0.003892, 'upstream_inference_completions_cost': 0.098352})
Traceback (most recent call last):
File "videotrans\translator\_base.py", line 71, in run
File "videotrans\translator\_base.py", line 204, in _run_srt
File "tenacity\__init__.py", line 338, in wrapped_f
File "tenacity\__init__.py", line 477, in call
File "tenacity\__init__.py", line 378, in iter
File "tenacity\__init__.py", line 421, in exc_check
tenacity.RetryError: RetryError[]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "videotrans\task\only_one.py", line 83, in run
File "videotrans\task\_stage_translate.py", line 31, in trans
File "videotrans\translator\_runner.py", line 63, in run
File "videotrans\translator\_base.py", line 74, in run
File "tenacity\__init__.py", line 480, in call
File "videotrans\translator\_openaicompat.py", line 92, in _item_task
openai.LengthFinishReasonError: Could not parse response content as the length limit was reached - CompletionUsage(completion_tokens=8196, prompt_tokens=1946, total_tokens=10142, completion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=None, audio_tokens=0, reasoning_tokens=0, rejected_prediction_tokens=None, image_tokens=0), prompt_tokens_details=PromptTokensDetails(audio_tokens=0, cached_tokens=0, cache_write_tokens=0, video_tokens=0), cost=0.102244, is_byok=False, cost_details={'upstream_inference_cost': 0.102244, 'upstream_inference_prompt_cost': 0.003892, 'upstream_inference_completions_cost': 0.098352})
cfg=[TaskCfgVTT]当前工作模式: 翻译视频或音频 单视频模式
原始输入文件名: D:/video/tiger75815[HD]_musicaldown.com_1785698589.mp4,
输出结果保存到文件夹: D:/video/_video_out/tiger75815[HD]_musicaldown.com_1785698589-mp4,
临时文件夹: D:/pyVideoTrans/win-pyvideotrans-v4.07/tmp/6872/d9c42ec22f
已选 清理已存在
已启用CUDA加速
未选 降噪
语音识别:ElevenLabs.io, model_name: , 发音语言: 越南语, 断句方式:LLM重新断句
翻译渠道:OpenRouter,原始语言:越南语,目标语言:简体中文, 已选 发送完整字幕
未选 配音角色，不进行配音
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0.5, 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:
=
system:Windows-10-10.0.22631-SP0
version:v4.08
frozen:True
language:zh
root_dir:D:/pyVideoTrans/win-pyvideotrans-v4.07