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qwencloud-audio-ttsqwencloud 音频 tts

Agent Skill

用于辅助音频、音乐、语音转写、语音合成或声音素材处理。它适合让 Agent 生成配乐说明、整理音频流程、调用语音工具或处理播客和视频配音素材。使用时需要确认输入音频来源、输出格式、时长和模型限制;涉及人声克隆、版权音乐或公开发布时,应先核对授权和合规边界。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:qwencloud-audio-tts(qwencloud 音频 tts)
来源仓库:https://github.com/qwencloud/qwencloud-ai
仓库路径:skills/qwencloud-audio-tts
安装命令:
npx skills add https://github.com/qwencloud/qwencloud-ai --skill qwencloud-audio-tts
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/qwencloud/qwencloud-ai --skill qwencloud-audio-tts

简介

用于辅助音频、语音合成或声音素材处理。

  • 适合让 Agent 生成配乐说明或处理播客和视频配音素材。
  • 需确认输入音频来源、输出格式、时长及模型限制。
  • 涉及人声克隆或版权音乐时应先核对授权与合规边界。
  • qwencloud-audio-tts 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Agent setup: If your agent doesn't auto-load skills (e.g. Claude Code), see agent-compatibility.md once per session.

Qwen Audio TTS (Text-to-Speech)

Synthesize natural speech from text using Qwen TTS models. This skill is part of qwencloud/qwencloud-ai.

Skill directory

Use this skill's internal files to execute and learn. Load reference files on demand when the default path fails or you need details.

LocationPurpose
scripts/tts.pyQwen TTS (HTTP API) — qwen3-tts-flash, qwen3-tts-instruct-flash
scripts/tts_cosyvoice.pyCosyVoice (WebSocket API) — requires dashscope SDK
references/cosyvoice-guide.mdCosyVoice setup, voices, examples, errors
references/execution-guide.mdFallback: curl (standard, instruct, streaming), code generation
references/prompt-guide.mdText formatting for speech, instructions templates, voice selection
references/api-guide.mdAPI supplement
references/sources.mdOfficial documentation URLs
references/agent-compatibility.mdAgent self-check: register skills in project config for agents that don't auto-load

Security

NEVER output any API key or credential in plaintext. Always use variable references ($DASHSCOPE_API_KEY in shell, os.environ["DASHSCOPE_API_KEY"] in Python). Any check or detection of credentials must be non-plaintext: report only status (e.g. "set" / "not set", "valid" / "invalid"), never the value. Never display contents of .env or config files that may contain secrets.

When the API key is not configured, NEVER ask the user to provide it directly. Instead, help create a .env file with a placeholder (DASHSCOPE_API_KEY=sk-your-key-here) and instruct the user to replace it with their actual key from the QwenCloud Console. Only write the actual key value if the user explicitly requests it.

Key Compatibility

Scripts require a standard QwenCloud API key (sk-...). Coding Plan keys (sk-sp-...) cannot be used — TTS models are not available on Coding Plan, and Coding Plan does not support the native QwenCloud API. The script detects sk-sp- keys at startup and prints a warning. If qwencloud-ops-auth is installed, see its references/codingplan.md for full details.

Model Selection

Qwen TTS (HTTP API) — use scripts/tts.py

ModelUse CaseNotes
qwen3-tts-flashRecommended (standard) — fast, multi-languageCost-effective, widely available
qwen3-tts-instruct-flashInstruction-guided style controlTone/emotion via instructions

CosyVoice (WebSocket API) — use scripts/tts_cosyvoice.py

ModelUse Case
cosyvoice-v3-flashHigh quality, fast
cosyvoice-v3-plusHighest quality
Note: CosyVoice requires dashscope SDK and uses different voices. See cosyvoice-guide.md.
  1. User specified a model → use the appropriate script:

- qwen3-tts-*scripts/tts.py - cosyvoice-*scripts/tts_cosyvoice.py

  1. Consult the qwencloud-model-selector skill when model choice depends on capability, scenario, or pricing.
  2. No signal, clear taskqwen3-tts-flash via tts.py (default for standard tasks).
⚠️ Important: The model list above is a point-in-time snapshot and may be outdated. Model availability changes frequently. Always check the official model list for the authoritative, up-to-date catalog before making model decisions.
Model details: For more information about a specific model, direct the user to its detail page: https://www.qwencloud.com/models/<model-name> (replace <model-name> with the exact model ID, e.g. qwen3-tts-flashhttps://www.qwencloud.com/models/qwen3-tts-flash). NEVER modify or guess the model name in the URL.
Dynamic model queries: If the qwencloud-model-selector skill or QwenCloud CLI (qwencloud models info <model>) is available, use it for real-time model data. CLI requires authentication — see the qwencloud-usage skill for login flow.

Available Voices

VoiceDescriptionScript
Cherry, Ethan, SerenaQwen TTS system voicestts.py
longanyang, longanhuan, longhuhu_v3CosyVoice verified voicestts_cosyvoice.py
Full lists: api-guide.md (Qwen TTS) · cosyvoice-guide.md (CosyVoice)

Execution

⚠️ Multiple artifacts: When generating multiple files in a single session, you MUST append a numeric suffix to each filename (e.g. out_1.wav, out_2.wav) to prevent overwrites.

Qwen TTS (HTTP API) — tts.py

Prerequisites

  • API Key: Check that DASHSCOPE_API_KEY (or QWEN_API_KEY) is set using a non-plaintext check only (e.g. in shell: [-n "$DASHSCOPE_API_KEY"]; report only "set" or "not set", never the key value). If not set: run the qwencloud-ops-auth skill if available; otherwise guide the user to obtain a key from QwenCloud Console and set it via .env file (echo 'DASHSCOPE_API_KEY=sk-your-key-here' >>.env in project root or current directory) or environment variable. The script searches for .env in the current working directory and the project root. Skills may be installed independently — do not assume qwencloud-ops-auth is present.
  • Python 3.9+ (stdlib only, no pip install needed)

Environment Check

Before first execution, verify Python is available:

python3 --version  # must be 3.9+

If python3 is not found, try python --version or py -3 --version. If Python is unavailable or below 3.9, skip to Path 2 (curl) in execution-guide.md.

Default: Run Script

Script path: Scripts are in the scripts/ subdirectory of this skill's directory (the directory containing this SKILL.md). You MUST first locate this skill's installation directory, then ALWAYS use the full absolute path to execute scripts. Do NOT assume scripts are in the current working directory. Do NOT use cd to switch directories before execution.

Execution note: Run all scripts in the foreground — wait for stdout; do not background.

Discovery: Run python3 <this-skill-dir>/scripts/tts.py --help first to see all available arguments.

python3 <this-skill-dir>/scripts/tts.py \
  --request '{"text":"Hello, this is a test.","voice":"Cherry"}' \
  --output output/qwencloud-audio-tts/ \
  --print-response
ArgumentDescription
--request '{...}'JSON request body
--file path.jsonLoad request from file
--output dir/Save audio and response JSON to directory
--print-responsePrint response to stdout
--model IDOverride model
--voice NAMEOverride voice

Verify Result

  • Exit code 0 + output contains valid JSON with output.audio field → success
  • Non-zero exit, HTTP error, empty response, or error JSON → fail
  • Post-execution check: Verify the output audio file exists and has non-zero size (ls -la <output_dir>)
  • MANDATORY — stderr signal check: After confirming the result, scan the command's stderr output for [ACTION_REQUIRED] or [UPDATE_AVAILABLE]. If either signal is present, you MUST follow the instructions in Update Check below before responding to the user.

On Failure

If the script fails, match the error output against the diagnostic table below to determine the resolution. If no match, read execution-guide.md for alternative paths: curl commands (Path 2 — standard, instruct, streaming), code generation (Path 3), and autonomous resolution (Path 5).

If Python is not available at all → skip directly to Path 2 (curl) in execution-guide.md.


CosyVoice — tts_cosyvoice.py

CosyVoice requires dashscope SDK. Quick start:

pip install dashscope>=1.24.6
python3 <this-skill-dir>/scripts/tts_cosyvoice.py --text "Hello"
Full guide: cosyvoice-guide.md (setup, voices, examples, errors)
Error PatternDiagnosisResolution
command not found: python3Python not on PATHTry python or py -3; install Python 3.9+ if missing
Python 3.9+ requiredScript version check failedUpgrade Python to 3.9+
SyntaxError near type hintsPython < 3.9Upgrade Python to 3.9+
QWEN_API_KEY/DASHSCOPE_API_KEY not foundMissing API keyObtain key from QwenCloud Console; add to .env: echo 'DASHSCOPE_API_KEY=sk-...' >>.env; or run qwencloud-ops-auth if available
HTTP 401Invalid or mismatched keyRun qwencloud-ops-auth (non-plaintext check only); verify key is valid
SSL: CERTIFICATE_VERIFY_FAILEDSSL cert issue (proxy/corporate)macOS: run Install Certificates.command; else set SSL_CERT_FILE env var
URLError / ConnectionErrorNetwork unreachableCheck internet; set HTTPS_PROXY if behind proxy
HTTP 429Rate limitedWait and retry with backoff
HTTP 5xxServer errorRetry with backoff
PermissionErrorCan't write outputUse --output to specify writable directory

Quick Reference

Request Fields

FieldTypeDescription
textstringRequired — text to synthesize (max 600 chars)
voicestringRequired — voice ID (e.g. Cherry, Ethan)
modelstringModel ID (default: qwen3-tts-flash)
language_typestringAuto, Chinese, English, Japanese, Korean, French, German, etc.
instructionsstringTone/style instructions (instruct model only)
streamboolEnable streaming (Base64 chunks)

Response Fields

FieldDescription
audio_urlURL of generated audio (valid 24h)
audio_formatFormat (e.g. wav)
sample_rateSample rate (e.g. 24000)
usageCharacter usage

Important Notes

  • text: Max 600 characters per request.
  • instructions: Only works with qwen3-tts-instruct-flash.
  • language_type: Auto for mixed language; specify for better pronunciation.
  • audio_url: Valid for 24 hours — download promptly.
  • Real-time/streaming TTS: For WebSocket-based real-time TTS (CosyVoice, qwen3-tts-flash-realtime), a WebSocket client is required. This skill covers the HTTP-based non-real-time API. For real-time streaming use cases, refer to the official docs in sources.md.

Cross-Skill Chaining

When passing generated audio to another skill (e.g., video-gen audio overlay):

  • Pass audio_url directly — scripts detect URL prefixes and pass through without re-upload
  • Use audio_file only for local playback or non-API operations

Error Handling

ErrorCauseAction
401 UnauthorizedInvalid or missing API keyRun qwencloud-ops-auth if available; else prompt user to set key (non-plaintext check only)
400Invalid parameters (missing text/voice)Validate request body
429 / 5xxRate limit or server errorRetry with backoff
Usage & billing: Use the qwencloud-usage skill to check usage, free tier quota, and billing directly. Alternatively, the user can visit the QwenCloud console: Usage Analytics | Pay-as-you-go Billing | Coding Plan Billing NEVER fabricate, guess, or construct usage/billing/console URLs. Only provide the exact links listed in this skill. If a URL is not listed here, do not invent one.

Output Location

Prefer the current working directory. Default subdirectory: ./output/qwencloud-audio-tts/.

Write prohibition: NEVER write output files into this skill's installation directory or any skills/ hierarchy. All generated content must go to output/ under the current working directory or a user-specified path.

Update Check (MANDATORY Post-Execution)

After script execution, check stderr for action signals. The script automatically detects update status and emits structured signals. You MUST act on them. This section also applies when the user explicitly asks to check for updates.

Signal: [ACTION_REQUIRED] qwencloud-update-check skill is not installed

When stderr contains this signal, you MUST present the following options to the user and wait for their response before proceeding. Do NOT silently skip this.

The update-check skill is not installed. It keeps you informed about new qwencloud/qwencloud-ai features and bug fixes. 1. Install now — I'll run the install command for you 2. Skip for now — do nothing this time 3. Never remind me — permanently suppress this prompt

After the user responds:

  • User chooses 1 → run: npx skills add QwenCloud/qwencloud-ai --skill qwencloud-update-check -y, then run: python3 <this-skill-scripts-dir>/gossamer.py --dismiss
  • User chooses 2 → run: python3 <this-skill-scripts-dir>/gossamer.py --dismiss, then continue normally
  • User chooses 3 → run: python3 <this-skill-scripts-dir>/gossamer.py --never-install, then continue normally

Signal: [UPDATE_AVAILABLE]

When stderr contains this signal, you MUST append a brief update notice to your response, including the version info and the update command shown in the stderr output.

No signal in stderr

If stderr contains neither [ACTION_REQUIRED] nor [UPDATE_AVAILABLE], no action is needed — the skill is installed and up to date (or cached within 24h).

Explicit user request

When the user explicitly asks to check for updates (e.g. "check for updates", "check version"):

  1. Look for qwencloud-update-check/SKILL.md in sibling skill directories.
  2. If found — run: python3 <qwencloud-update-check-dir>/scripts/check_update.py --print-response and report the result.
  3. If not found — present the install options above.

References

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