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=32768, prompt_tokens=5570, total_tokens=38338, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetails(audio_tokens=None, cached_tokens=1024), prompt_cache_hit_tokens=1024, prompt_cache_miss_tokens=4546)
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 87, in run
File "videotrans\task\_stage_translate.py", line 31, in trans
File "videotrans\translator\_runner.py", line 68, 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 99, in _item_task
openai.LengthFinishReasonError: Could not parse response content as the length limit was reached - CompletionUsage(completion_tokens=32768, prompt_tokens=5570, total_tokens=38338, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetails(audio_tokens=None, cached_tokens=1024), prompt_cache_hit_tokens=1024, prompt_cache_miss_tokens=4546)
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:/ike/新建文件夹/ldP2.mp4,
输出结果保存到文件夹: D:/ike/ldP2-mp4,
临时文件夹: E:/ike/win-pyvideotrans-v4.08-0802/tmp/17272/7a5a7a73b5
已选 清理已存在
未启用CUDA加速
未选 降噪
已选 识别说话人,最大说话人数量不限制
已选 删除所有标点符号
语音识别:阿里百炼API/Qwen3-ASR, , 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: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(双) 目标语言在上双字幕
已选 仅输出mp4
=
system:Windows-10-10.0.22621-SP0
version:v4.09
frozen:True
language:zh
root_dir:E:/ike/win-pyvideotrans-v4.08-0802