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Alicloud Ai Audio Tts Realtime

Real-time speech synthesis with Alibaba Cloud Model Studio Qwen TTS Realtime models. Use when low-latency interactive speech is required, including instruction-controlled realtime synthesis.

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Real-time speech synthesis with Alibaba Cloud Model Studio Qwen TTS Realtime models. Use when low-latency interactive speech is required, including instruction-controlled realtime synthesis.

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, agents/openai.yaml, references/sources.md, scripts/realtime_tts_demo.py

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.1

Documentation

ClawHub primary doc Primary doc: SKILL.md 12 sections Open source page

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: 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.

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: .venv/bin/python skills/ai/audio/alicloud-ai-audio-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): .venv/bin/python skills/ai/audio/alicloud-ai-audio-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

mkdir -p output/alicloud-ai-audio-tts-realtime for f in skills/ai/audio/alicloud-ai-audio-tts-realtime/scripts/*.py; do python3 -m py_compile "$f" done echo "py_compile_ok" > output/alicloud-ai-audio-tts-realtime/validate.txt Pass criteria: command exits 0 and output/alicloud-ai-audio-tts-realtime/validate.txt is generated.

Output And Evidence

Save artifacts, command outputs, and API response summaries under output/alicloud-ai-audio-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

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
2 Docs1 Scripts1 Config
  • SKILL.md Primary doc
  • references/sources.md Docs
  • scripts/realtime_tts_demo.py Scripts
  • agents/openai.yaml Config