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