Alibaba Cloud AI Audio TTS Realtime

Use when real-time speech synthesis is needed with Alibaba Cloud Model Studio Qwen TTS Realtime models. Use when low-latency interactive speech is required,...

cinience@cinience

Install

openclaw skills install @cinience/aliyun-qwen-tts-realtime

Category: provider

Model Studio Qwen TTS Realtime

Use realtime TTS models for low-latency streaming speech output.

Critical model names

Use one of these exact model strings:

qwen3-tts-flash-realtime
qwen3-tts-instruct-flash-realtime
qwen3-tts-instruct-flash-realtime-2026-01-22
qwen3-tts-vd-realtime-2026-01-15
qwen3-tts-vc-realtime-2026-01-15

Prerequisites

Install SDK in a virtual environment:

bash

python3 -m venv .venv
. .venv/bin/activate
python -m pip install dashscope

Set DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials.

Normalized interface (tts.realtime)

Request

text (string, required)
voice (string, required)
instruction (string, optional)
sample_rate (int, optional)

Response

audio_base64_pcm_chunks (array)
sample_rate (int)
finish_reason (string)

Operational guidance

Use websocket or streaming endpoint for realtime mode.
Keep each utterance short for lower latency.
For instruction models, keep instruction explicit and concise.
Some SDK/runtime combinations may reject realtime model calls over MultiModalConversation; use the probe script below to verify compatibility.

Local demo script

Use the probe script to verify realtime compatibility in your current SDK/runtime, and optionally fallback to a non-realtime model for immediate output:

bash

.venv/bin/python skills/ai/audio/aliyun-qwen-tts-realtime/scripts/realtime_tts_demo.py \
  --text "This is a realtime speech demo." \
  --fallback \
  --output output/ai-audio-tts-realtime/audio/fallback-demo.wav

Strict mode (for CI / gating):

bash

.venv/bin/python skills/ai/audio/aliyun-qwen-tts-realtime/scripts/realtime_tts_demo.py \
  --text "realtime health check" \
  --strict

Output location

Default output: output/ai-audio-tts-realtime/audio/
Override base dir with OUTPUT_DIR.

Validation

bash

mkdir -p output/aliyun-qwen-tts-realtime
for f in skills/ai/audio/aliyun-qwen-tts-realtime/scripts/*.py; do
  python3 -m py_compile "$f"
done
echo "py_compile_ok" > output/aliyun-qwen-tts-realtime/validate.txt

Pass criteria: command exits 0 and output/aliyun-qwen-tts-realtime/validate.txt is generated.

Output And Evidence

Save artifacts, command outputs, and API response summaries under output/aliyun-qwen-tts-realtime/.
Include key parameters (region/resource id/time range) in evidence files for reproducibility.

Workflow

Confirm user intent, region, identifiers, and whether the operation is read-only or mutating.
Run one minimal read-only query first to verify connectivity and permissions.
Execute the target operation with explicit parameters and bounded scope.
Verify results and save output/evidence files.

References

references/sources.md