#7024 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 - Complet

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=65536, prompt_tokens=840, total_tokens=66376, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetails(audio_tokens=None, cached_tokens=640), prompt_cache_hit_tokens=640, prompt_cache_miss_tokens=200)
Traceback (most recent call last):
File "videotrans\translator\_base.py", line 68, in run
File "videotrans\translator\_base.py", line 107, in _run_text
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 89, in run
File "videotrans\task\_stage_translate.py", line 31, in trans
File "videotrans\translator\_runner.py", line 67, 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 105, in _item_task
openai.LengthFinishReasonError: Could not parse response content as the length limit was reached - CompletionUsage(completion_tokens=65536, prompt_tokens=840, total_tokens=66376, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetails(audio_tokens=None, cached_tokens=640), prompt_cache_hit_tokens=640, prompt_cache_miss_tokens=200)

cfg=[TaskCfgVTT]当前工作模式: 翻译视频 单视频模式
原始输入文件名: E:/BC/jasna/JKS-155_restored.mp4,
输出结果保存到文件夹: E:/BC/jasna/_video_out/JKS-155_restored-mp4,
临时文件夹: D:/CY/SP/win-pyvideotrans-v4.11/tmp/18692/3c6db7b600
已选 清理已存在
已启用CUDA加速
未选 降噪
语音识别:openai-whisper(内置), large-v3-turbo, 发音语言: 日语, 断句方式:默认断句
翻译渠道:DeepSeek,原始语言:日语,目标语言:简体中文, 未选 发送完整字幕
未选 配音角色，不进行配音
字幕: 嵌入硬字幕