dlazy-keling-tts

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":"[Truncated]"},"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 · 中文

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:

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:

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
2. Go to 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
• Maintainer: dlazyai
• npm package: @dlazy/cli (pinned to 1.2.3 in this skill's install spec)
• Homepage: dlazy.com

You can install on demand without persisting a global binary by running:

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 for the full service terms.

Usage

CRITICAL INSTRUCTION FOR AGENT: Run the dlazy keling-tts command to get results.

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: , , )
  --format [format]                    Format [default: mp3] (choices: , )
  --dry-run                            Print payload + cost estimate without calling API
  --no-wait                            Return generateId immediately  async tasks
  -- <seconds>                  Max seconds to   async completion (default: )
  -h, --                           display   

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

{
  "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

# 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
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 and save it using dlazy auth set <key> and resume the task.

Tips

Visit https://dlazy.com for more information.