Category: provider Model Studio Qwen LiveTranslate Validation mkdir -p output/alicloud-ai-audio-livetranslate python -m py_compile skills/ai/audio/alicloud-ai-audio-livetranslate/scripts/prepare_livetranslate_request.py && echo "py_compile_ok"
output/alicloud-ai-audio-livetranslate/validate.txt Pass criteria: command exits 0 and output/alicloud-ai-audio-livetranslate/validate.txt is generated. Output And Evidence Save translation session payloads and response summaries under output/alicloud-ai-audio-livetranslate/ . Critical model names Use one of these exact model strings: qwen3-livetranslate-flash qwen3-livetranslate-flash-realtime Typical use Chinese/English meeting interpretation Live subtitles in another language Call-center agent assist with translated captions Normalized interface (audio.livetranslate) Request model (string, optional): default qwen3-livetranslate-flash source_language (string, required) target_language (string, required) audio_format (string, optional): e.g. pcm sample_rate (int, optional): e.g. 16000 Response translated_text (string) source_text (string, optional) audio_url or audio_chunk (optional, model dependent) Quick start python skills/ai/audio/alicloud-ai-audio-livetranslate/scripts/prepare_livetranslate_request.py \ --source-language zh \ --target-language en \ --output output/alicloud-ai-audio-livetranslate/request.json Notes Prefer the realtime model for continuous streaming sessions. Prefer the non-realtime flash model for simpler integration and lower client complexity. References references/sources.md