aliyun-qwen-tts-realtime

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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, including instruction-controlled realtime synthesis.

2installs

Sourcecinience/alicloud-skills

Added on2026-04-02

NPX Install

npx skill4agent add cinience/alicloud-skills aliyun-qwen-tts-realtime

SKILL.md Content

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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<string>)
```
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
```

aliyun-qwen-tts-realtime

NPX Install

Tags

SKILL.md Content

Model Studio Qwen TTS Realtime

Critical model names

Prerequisites

Normalized interface (tts.realtime)

Request

Response

Operational guidance

Local demo script

Output location

Validation

Output And Evidence

Workflow

References