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Convert text into high-quality, emotional speech reading using Kling TTS. 使用可灵 (Kling) TTS 模型，将文本转化为高质量、情感丰富的语音朗读。
---
name: dlazy-keling-tts
version: 1.3.5
description: "Convert text into high-quality, emotional speech reading using Kling TTS. 使用可灵 (Kling) TTS 模型，将文本转化为高质量、情感丰富的语音朗读。"
metadata: {"clawdbot":{"emoji":"🤖","requires":{"bins":["npm","npx"]},"install":"npm install -g @dlazy/cli@1.2.3","installAlternative":"npx @dlazy/cli@1.2.3","homepage":"https://github.com/dlazyai/cli","source":"https://github.com/dlazyai/cli","author":"dlazyai","license":"see-repo","npm":"https://www.npmjs.com/package/@dlazy/cli","configLocation":"~/.dlazy/config.json","apiEndpoints":["api.dlazy.com","files.dlazy.com"]},"openclaw":{"systemPrompt":"When invoking this skill, use dlazy keling-tts -h for help."}}
---
# 语音合成 可灵 Kling TTS
[English](./SKILL.md) · [中文](./SKILL-cn.md)
Convert text into high-quality, emotional speech reading using Kling TTS.
## Trigger Keywords
- kling tts
- text to speech
- generate speech
## Authentication
All requests require a dLazy API key. The recommended way to authenticate is:
```bash
dlazy login
```
This runs a device-code flow (also works in remote shells) and **automatically saves your API key** to the local CLI config — no manual copy/paste required.
### Alternative: Set the Key Manually
If you already have an API key, you can save it directly:
```bash
dlazy auth set YOUR_API_KEY
```
The CLI saves the key in your user config directory (`~/.dlazy/config.json` on macOS/Linux, `%USERPROFILE%\.dlazy\config.json` on Windows), with file permissions restricted to your OS user account. You can also supply the key per-invocation via the `DLAZY_API_KEY` environment variable.
### Getting Your API Key Manually
1. Sign in or create an account at [dlazy.com](https://dlazy.com)
2. Go to [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)
3. Copy the key shown in the API Key section
Each key is scoped to your dLazy organization and can be **rotated or revoked at any time** from the same dashboard.
## About & Provenance
- **CLI source code**: [github.com/dlazyai/cli](https://github.com/dlazyai/cli)
- **Maintainer**: dlazyai
- **npm package**: `@dlazy/cli` (pinned to `1.2.3` in this skill's install spec)
- **Homepage**: [dlazy.com](https://dlazy.com)
You can install on demand without persisting a global binary by running:
```bash
npx @dlazy/cli@1.2.3 <command>
```
Or, if you prefer a global install, the skill's `metadata.clawdbot.install` field declares the exact pinned version (`npm install -g @dlazy/cli@1.2.3`). Review the GitHub source before installing.
## How It Works
This skill is a thin client over the dLazy hosted API. When you invoke it:
- Prompts and parameters you provide are sent to the dLazy API endpoint (`api.dlazy.com`) for inference.
- Any local file paths you pass to image / video / audio fields are uploaded to dLazy's media storage (`files.dlazy.com`) so the model can read them — the same flow as any cloud-based generation API.
- Generated output URLs returned by the API are hosted on `files.dlazy.com`.
This is the standard SaaS pattern; the skill itself does not access network or filesystem resources beyond what the dLazy CLI already handles. See [dlazy.com](https://dlazy.com) for the full service terms.
## Usage
**CRITICAL INSTRUCTION FOR AGENT**:
Run the `dlazy keling-tts` command to get results.
```bash
dlazy keling-tts -h
Options:
--prompt [prompt] Prompt
--voice_language [voice_language] Voice Language [default: zh] (choices: "zh", "en")
--voiceId [voiceId] Voice ID Options depend on "voice_language". when voice_language="zh": genshin_vindi2 (阳光少年), zhinen_xuesheng (懂事小弟), tiyuxi_xuedi (运动少年), ai_shatang (青春少女), genshin_klee2 (温柔小妹), genshin_kirara (元气少女), ai_kaiya (阳光男生), tiexin_nanyou (幽默小哥), ai_chenjiahao_712 (文艺小哥), girlfriend_1_speech02 (甜美邻家), chat1_female_new-3 (温柔姐姐), girlfriend_2_speech02 (职场女青), cartoon-boy-07 (活泼男童), cartoon-girl-01 (俏皮女童), ai_huangyaoshi_712 (稳重老爸), you_pingjing (温柔妈妈), ai_laoguowang_712 (严肃上司), chengshu_jiejie (优雅贵妇), zhuxi_speech02 (慈祥爷爷), uk_oldman3 (唠叨爷爷), laopopo_speech02 (唠叨奶奶), heainainai_speech02 (和蔼奶奶), dongbeilaotie_speech02 (东北老铁), chongqingxiaohuo_speech02 (重庆小伙), chuanmeizi_speech02 (四川妹子), chaoshandashu_speech02 (潮汕大叔), ai_taiwan_man2_speech02 (台湾男生), xianzhanggui_speech02 (西安掌柜), tianjinjiejie_speech02 (天津姐姐), diyinnansang_DB_CN_M_04-v2 (新闻播报男), yizhipiannan-v1 (译制片男), guanxiaofang-v2 (元气少女), tianmeixuemei-v1 (撒娇女友), daopianyansang-v1 (刀片烟嗓), mengwa-v1 (乖巧正太); when voice_language="en": genshin_vindi2 (Sunny), zhinen_xuesheng (Sage), AOT (Ace), ai_shatang (Blossom), genshin_klee2 (Peppy), genshin_kirara (Dove), ai_kaiya (Shine), oversea_male1 (Anchor), ai_chenjiahao_712 (Lyric), girlfriend_4_speech02 (Melody), chat1_female_new-3 (Tender), chat_0407_5-1 (Siren), cartoon-boy-07 (Zippy), uk_boy1 (Bud), cartoon-girl-01 (Sprite), PeppaPig_platform (Candy), ai_huangzhong_712 (Beacon), ai_huangyaoshi_712 (Rock), ai_laoguowang_712 (Titan), chengshu_jiejie (Grace), you_pingjing (Helen), calm_story1 (Lore), uk_man2 (Crag), laopopo_speech02 (Prattle), heainainai_speech02 (Hearth), reader_en_m-v1 (The Reader), commercial_lady_en_f-v1 (Commercial Lady) [default: genshin_vindi2] [options depend on --voice_language; voice_language=zh: genshin_vindi2 (阳光少年), zhinen_xuesheng (懂事小弟), tiyuxi_xuedi (运动少年), ai_shatang (青春少女), genshin_klee2 (温柔小妹), genshin_kirara (元气少女), ai_kaiya (阳光男生), tiexin_nanyou (幽默小哥), ai_chenjiahao_712 (文艺小哥), girlfriend_1_speech02 (甜美邻家), chat1_female_new-3 (温柔姐姐), girlfriend_2_speech02 (职场女青), cartoon-boy-07 (活泼男童), cartoon-girl-01 (俏皮女童), ai_huangyaoshi_712 (稳重老爸), you_pingjing (温柔妈妈), ai_laoguowang_712 (严肃上司), chengshu_jiejie (优雅贵妇), zhuxi_speech02 (慈祥爷爷), uk_oldman3 (唠叨爷爷), laopopo_speech02 (唠叨奶奶), heainainai_speech02 (和蔼奶奶), dongbeilaotie_speech02 (东北老铁), chongqingxiaohuo_speech02 (重庆小伙), chuanmeizi_speech02 (四川妹子), chaoshandashu_speech02 (潮汕大叔), ai_taiwan_man2_speech02 (台湾男生), xianzhanggui_speech02 (西安掌柜), tianjinjiejie_speech02 (天津姐姐), diyinnansang_DB_CN_M_04-v2 (新闻播报男), yizhipiannan-v1 (译制片男), guanxiaofang-v2 (元气少女), tianmeixuemei-v1 (撒娇女友), daopianyansang-v1 (刀片烟嗓), mengwa-v1 (乖巧正太); voice_language=en: genshin_vindi2 (Sunny), zhinen_xuesheng (Sage), AOT (Ace), ai_shatang (Blossom), genshin_klee2 (Peppy), genshin_kirara (Dove), ai_kaiya (Shine), oversea_male1 (Anchor), ai_chenjiahao_712 (Lyric), girlfriend_4_speech02 (Melody), chat1_female_new-3 (Tender), chat_0407_5-1 (Siren), cartoon-boy-07 (Zippy), uk_boy1 (Bud), cartoon-girl-01 (Sprite), PeppaPig_platform (Candy), ai_huangzhong_712 (Beacon), ai_huangyaoshi_712 (Rock), ai_laoguowang_712 (Titan), chengshu_jiejie (Grace), you_pingjing (Helen), calm_story1 (Lore), uk_man2 (Crag), laopopo_speech02 (Prattle), heainainai_speech02 (Hearth), reader_en_m-v1 (The Reader), commercial_lady_en_f-v1 (Commercial Lady)]
--speed [speed] Speed [default: 1.0] (choices: "0.8", "1.0", "1.5")
--format [format] Format [default: mp3] (choices: "mp3", "wav")
--dry-run Print payload + cost estimate without calling API
--no-wait Return generateId immediately for async tasks
--timeout <seconds> Max seconds to wait for async completion (default: "1800")
-h, --help display help for command
```
> Any flag also accepts pipe references — `-` (auto-pick from upstream stdin), `@N` (n-th output), `@N.path` (jsonpath into output), `@*` (all primary values), `@stdin` / `@stdin:path` (whole envelope). See `dlazy --help` for details.
## Output Format
```json
{
"ok": true,
"result": {
"tool": "keling-tts",
"modelId": "keling-tts",
"outputs": [
{
"type": "image",
"id": "o_xxxxxxxx",
"url": "https://files.dlazy.com/result.png",
"mimeType": "image/png"
}
]
}
}
```
> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status <generateId> --wait` to poll.
## Command Examples
```bash
# basic call:
dlazy keling-tts --prompt 'prompt text'
# complex call:
dlazy keling-tts --prompt 'prompt text'
```
## Error Handling
| Code | Error Type | Example Message |
| ---- | ---------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |
| 401 | Unauthorized (No API Key) | `ok: false, code: "unauthorized", message: "API key is missing or invalid"` |
| 501 | Missing required parameter | `error: required option '--prompt <prompt>' not specified` |
| 502 | Local file read error | `Error: Image file/Video file not found: C:\path\to\your\file` |
| 503 | API request failed (no balance) | `ok: false, code: "insufficient_balance"` |
| 503 | API request failed (server error) | `HTTP status code error (500 server crash)` |
| 504 | Asynchronous task execution failed | `=== Generation Failed ===` / `{Specific error reason returned by backend, for example "Prompt violates safety policy"}` |
> **AGENT CRITICAL INSTRUCTION**:
> 1. If the execution result returns `code: "insufficient_balance"`, you MUST explicitly inform the user that their credits are insufficient and guide them to recharge: [https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)
> 2. If the execution result returns `code: "unauthorized"` or indicates missing API key, you MUST inform the user to get their API key from [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) and save it using `dlazy auth set <key>` and resume the task.
## Tips
Visit https://dlazy.com for more information.don't have the plugin yet? install it then click "run inline in claude" again.