#2578 TaskCfg(cache_folder=None, target_dir='H:/youtu下载视频/斯坦访谈系列/大师访谈/交易传奇大师斯坦・温斯坦的盈利交易秘籍', remove_noise=False, is_separate=Fa

1.194* Posted at: 1 day ago 👁11

翻译字幕阶段出错 [兼容AI/本地模型] 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=7775, prompt_tokens=3577, total_tokens=11352, completion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=3679, rejected_prediction_tokens=None), prompt_tokens_details=PromptTokensDetails(audio_tokens=None, cached_tokens=0))
Traceback (most recent call last):
File "videotrans\task\job.py", line 184, in run
File "videotrans\task\_translate_srt.py", line 45, in trans
File "videotrans\translator\__init__.py", line 912, in run
File "videotrans\translator\_base.py", line 78, in run
File "videotrans\translator\_base.py", line 137, 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 400, in
File "concurrent\futures\_base.py", line 439, in result
File "concurrent\futures\_base.py", line 391, in __get_result
File "tenacity\__init__.py", line 480, in call
File "videotrans\translator\_localllm.py", line 71, in _item_task
openai.LengthFinishReasonError: Could not parse response content as the length limit was reached - CompletionUsage(completion_tokens=7775, prompt_tokens=3577, total_tokens=11352, completion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=3679, rejected_prediction_tokens=None), prompt_tokens_details=PromptTokensDetails(audio_tokens=None, cached_tokens=0))

TaskCfg(cache_folder=None, target_dir='H:/youtu下载视频/斯坦访谈系列/大师访谈/交易传奇大师斯坦・温斯坦的盈利交易秘籍', remove_noise=False, is_separate=False, detect_language=None, subtitle_language=None, source_language=None, target_language=None, source_language_code='English', target_language_code='Simplified Chinese', source_sub='H:/youtu下载视频/斯坦访谈系列/大师访谈/交易传奇大师斯坦・温斯坦的盈利交易秘籍/Secrets to Profitable Trading from Market Legend Stan Weinstein.en.srt', target_sub='H:/youtu下载视频/斯坦访谈系列/大师访谈/交易传奇大师斯坦・温斯坦的盈利交易秘籍/Secrets to Profitable Trading from Market Legend Stan Weinstein.en.Simplified Chinese.srt', source_wav=None, source_wav_output=None, target_wav=None, target_wav_output=None, subtitles=None, novoice_mp4=None, noextname='Secrets to Profitable Trading from Market Legend Stan Weinstein.en', shibie_audio=None, targetdir_mp4=None, instrument=None, vocal=None, back_audio=None, background_music=None, app_mode='biaozhun', subtitle_type=0, volume='+0%', pitch='+0Hz', voice_rate='+0%', voice_role=None, copysrt_rawvideo=False, clear_cache=False, translate_type=8, tts_type=None, recogn_type=None, model_name=None, split_type=0, voice_autorate=False, video_autorate=False, cuda=False, name='H:/youtu下载视频/斯坦访谈系列/大师访谈/交易传奇大师斯坦・温斯坦的盈利交易秘籍/Secrets to Profitable Trading from Market Legend Stan Weinstein.en.srt', basename='Secrets to Profitable Trading from Market Legend Stan Weinstein.en.srt', ext='srt', dirname='H:/youtu下载视频/斯坦访谈系列/大师访谈/交易传奇大师斯坦・温斯坦的盈利交易秘籍', shound_del_name=None, uuid='20fa976ea1', remove_silent_mid=False, align_sub_audio=True, enable_diariz=False, nums_diariz=0, rephrase=2, only_out_mp4=False)


=
system:Windows-10-10.0.19045-SP0
version:v3.92
frozen:True
language:zh
root_dir:J:/pyVideoTrans3.92

1 Replies

此错误表明在使用“兼容AI/本地模型”翻译字幕时,发送的文本内容超出了模型的最大Token限制(总Token数11352)。请按以下步骤解决:

  1. 减小每次发送的字幕行数

    • 在软件主界面,点击右下角的 “设置更多参数”
    • 找到 “每批字幕行数” 选项,将其数值调小(例如从默认的10改为5或3)。
    • 这能有效降低单次请求的文本量,避免超出Token限制。
  2. (可选)调整AI模型的最大Token参数

    • 此错误通常发生在使用本地大模型(如Ollama、LM Studio等)时。
    • 请检查您本地运行的AI模型服务(如Ollama),确保其启动参数中的 num_ctx(上下文长度)或 max_tokens 设置得足够大(例如设置为8192或更高)。
    • 如果您使用的是在线AI API(如DeepSeek、OpenAI),则此限制由服务商设定,通常无法调整,只能通过第1步减少发送量来解决。
  3. (高级)检查高级选项

    • 进入菜单栏的 工具 -> 高级选项
    • 在“字幕翻译调整”区域,确认 “发送完整字幕” 选项是否被勾选。如果勾选,模型会收到整个字幕文件作为上下文,这极易导致Token超限。对于长视频字幕,建议取消勾选此选项。

核心操作顺序:优先执行第1步(调小“每批字幕行数”),如果问题依旧,再检查第2步和第3步。

请查看更多参考文档:

Post Your Reply
Open source and free maintenance is not easy. If this project is helpful to you, please consider making a small donation to help the project continue to maintain and update.

Donate: https://ko-fi.com/jianchang512

Trending Questions