Category: provider
Use voice design models to create controllable synthetic voices from natural language descriptions.
Use one of these exact model strings:
qwen3-tts-vd-2026-01-26qwen3-tts-vd-realtime-2026-01-15python3 -m venv .venv
. .venv/bin/activate
python -m pip install dashscope
DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials.voice_prompt (string, required) target voice descriptiontext (string, required)stream (bool, optional)audio_url (string) or streaming PCM chunksvoice_id (string)request_id (string)Prepare a normalized request JSON and validate response schema:
.venv/bin/python skills/ai/audio/alicloud-ai-audio-tts-voice-design/scripts/prepare_voice_design_request.py \
--voice-prompt "A warm female host voice, clear articulation, medium pace" \
--text "This is a voice-design demo"
output/ai-audio-tts-voice-design/audio/OUTPUT_DIR.mkdir -p output/alicloud-ai-audio-tts-voice-design
for f in skills/ai/audio/alicloud-ai-audio-tts-voice-design/scripts/*.py; do
python3 -m py_compile "$f"
done
echo "py_compile_ok" > output/alicloud-ai-audio-tts-voice-design/validate.txt
Pass criteria: command exits 0 and output/alicloud-ai-audio-tts-voice-design/validate.txt is generated.
output/alicloud-ai-audio-tts-voice-design/.1) Confirm user intent, region, identifiers, and whether the operation is read-only or mutating.
2) Run one minimal read-only query first to verify connectivity and permissions.
3) Execute the target operation with explicit parameters and bounded scope.
4) Verify results and save output/evidence files.
references/sources.md共 2 个版本