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dlazy-gemini-2-5-tts
Generate multilingual, highly natural audio using Gemini 2.5 text-to-speech. 使用 Gemini 2.5 强大的文本转语音能力,生成多语言、高自然度的音频。
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
메뉴
Generate multilingual, highly natural audio using Gemini 2.5 text-to-speech. 使用 Gemini 2.5 强大的文本转语音能力,生成多语言、高自然度的音频。
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Audio generation skill. Automatically selects the best dlazy CLI audio/TTS model based on the prompt. 音频生成技能。根据提示词自动选择最佳的 dlazy CLI 音频/TTS 模型。
Generate/edit images with Nano Banana Pro. Supports text-to-image and image-to-image. 使用 Nano Banana Pro 生成/编辑图片,支持文生图与图生图。
Generate/edit high-quality images with Nano Banana 2.0. Supports text-to-image and image-to-image. 使用 Nano Banana 2.0 生成/编辑高质量图片,支持文生图与图生图。
Chat with the dlazy sandbox agent — a project-scoped assistant that runs skills end-to-end over multiple turns. Discover skills and projects with dlazy skills list / dlazy projects list. 与 dlazy 沙箱 agent 对话 —— 一个以项目为单位、可端到端运行技能的多轮助手。用 dlazy skills list / dlazy projects list 发现可用技能与项目。
Anthropic's flagship multimodal model. Strong at long-context reasoning, code generation, and complex tool orchestration. Supports text, image, and video inputs. Anthropic 旗舰多模态模型,擅长长上下文推理、代码生成与复杂工具编排。支持文本、图片与视频输入。
Synthesize text into natural and fluent speech using Doubao TTS. 使用豆包 (Doubao) TTS 文本转语音模型,将文字合成为自然流畅的语音播报。
| name | dlazy-gemini-2.5-tts |
| version | 1.3.0 |
| description | Generate multilingual, highly natural audio using Gemini 2.5 text-to-speech. 使用 Gemini 2.5 强大的文本转语音能力,生成多语言、高自然度的音频。 |
| metadata | {"clawdbot":{"emoji":"🤖","requires":{"bins":["npm","npx"]},"install":"npm install -g @dlazy/cli@1.2.0","installAlternative":"npx @dlazy/cli@1.2.0","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 gemini-2.5-tts -h for help."}} |
Generate multilingual, highly natural audio using Gemini 2.5 text-to-speech.
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.
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.
Each key is scoped to your dLazy organization and can be rotated or revoked at any time from the same dashboard.
@dlazy/cli (pinned to 1.0.9 in this skill's install spec)You can install on demand without persisting a global binary by running:
npx @dlazy/cli@1.2.0 <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@1.2.0). Review the GitHub source before installing.
This skill is a thin client over the dLazy hosted API. When you invoke it:
api.dlazy.com) for inference.files.dlazy.com) so the model can read them — the same flow as any cloud-based generation API.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.
CRITICAL INSTRUCTION FOR AGENT:
Run the dlazy gemini-2.5-tts command to get results.
dlazy gemini-2.5-tts -h
Options:
--prompt [prompt] Prompt
--voice_language [voice_language] Voice Language [default: cmn] (choices: "cmn", "en")
--voiceName [voiceName] Voice Name Options depend on "voice_language". when voice_language="cmn": Zephyr (Zephyr - 明亮), Puck (Puck - 欢快), Charon (Charon - 信息丰富), Kore (Kore - 坚定), Fenrir (Fenrir - 兴奋), Leda (Leda - 青春), Orus (Orus - 公正), Aoede (Aoede - 清爽), Callirrhoe (Callirrhoe - 轻松), Autonoe (Autonoe - 明亮), Enceladus (Enceladus - 气声), Iapetus (Iapetus - 清晰), Umbriel (Umbriel - 轻松愉快), Algieba (Algieba - 平滑), Despina (Despina - 平滑), Erinome (Erinome - 清晰), Algenib (Algenib - 沙哑), Rasalgethi (Rasalgethi - 信息丰富), Laomedeia (Laomedeia - 欢快), Achernar (Achernar - 柔和), Alnilam (Alnilam - 坚定), Schedar (Schedar - 均匀), Gacrux (Gacrux - 成熟), Pulcherrima (Pulcherrima - 转折), Achird (Achird - 友好), Zubenelgenubi (Zubenelgenubi - 随意), Vindemiatrix (Vindemiatrix - 温和), Sadachbia (Sadachbia - 活泼), Sadaltager (Sadaltager - 知识渊博), Sulafat (Sulafat - 偏高); when voice_language="en": Zephyr (Zephyr - Bright), Puck (Puck - Cheerful), Charon (Charon - Informative), Kore (Kore - Firm), Fenrir (Fenrir - Excitable), Leda (Leda - Youthful), Orus (Orus - Just), Aoede (Aoede - Breezy), Callirrhoe (Callirrhoe - Relaxed), Autonoe (Autonoe - Bright), Enceladus (Enceladus - Breath), Iapetus (Iapetus - Clear), Umbriel (Umbriel - Light), Algieba (Algieba - Smooth), Despina (Despina - Smooth), Erinome (Erinome - Clear), Algenib (Algenib - Gravelly), Rasalgethi (Rasalgethi - Informative), Laomedeia (Laomedeia - Cheerful), Achernar (Achernar - Soft), Alnilam (Alnilam - Firm), Schedar (Schedar - Even), Gacrux (Gacrux - Mature), Pulcherrima (Pulcherrima - Turning), Achird (Achird - Friendly), Zubenelgenubi (Zubenelgenubi - Casual), Vindemiatrix (Vindemiatrix - Gentle), Sadachbia (Sadachbia - Lively), Sadaltager (Sadaltager - Scholarly), Sulafat (Sulafat - High) [default: Kore] [options depend on --voice_language; voice_language=cmn: Zephyr (Zephyr - 明亮), Puck (Puck - 欢快), Charon (Charon - 信息丰富), Kore (Kore - 坚定), Fenrir (Fenrir - 兴奋), Leda (Leda - 青春), Orus (Orus - 公正), Aoede (Aoede - 清爽), Callirrhoe (Callirrhoe - 轻松), Autonoe (Autonoe - 明亮), Enceladus (Enceladus - 气声), Iapetus (Iapetus - 清晰), Umbriel (Umbriel - 轻松愉快), Algieba (Algieba - 平滑), Despina (Despina - 平滑), Erinome (Erinome - 清晰), Algenib (Algenib - 沙哑), Rasalgethi (Rasalgethi - 信息丰富), Laomedeia (Laomedeia - 欢快), Achernar (Achernar - 柔和), Alnilam (Alnilam - 坚定), Schedar (Schedar - 均匀), Gacrux (Gacrux - 成熟), Pulcherrima (Pulcherrima - 转折), Achird (Achird - 友好), Zubenelgenubi (Zubenelgenubi - 随意), Vindemiatrix (Vindemiatrix - 温和), Sadachbia (Sadachbia - 活泼), Sadaltager (Sadaltager - 知识渊博), Sulafat (Sulafat - 偏高); voice_language=en: Zephyr (Zephyr - Bright), Puck (Puck - Cheerful), Charon (Charon - Informative), Kore (Kore - Firm), Fenrir (Fenrir - Excitable), Leda (Leda - Youthful), Orus (Orus - Just), Aoede (Aoede - Breezy), Callirrhoe (Callirrhoe - Relaxed), Autonoe (Autonoe - Bright), Enceladus (Enceladus - Breath), Iapetus (Iapetus - Clear), Umbriel (Umbriel - Light), Algieba (Algieba - Smooth), Despina (Despina - Smooth), Erinome (Erinome - Clear), Algenib (Algenib - Gravelly), Rasalgethi (Rasalgethi - Informative), Laomedeia (Laomedeia - Cheerful), Achernar (Achernar - Soft), Alnilam (Alnilam - Firm), Schedar (Schedar - Even), Gacrux (Gacrux - Mature), Pulcherrima (Pulcherrima - Turning), Achird (Achird - Friendly), Zubenelgenubi (Zubenelgenubi - Casual), Vindemiatrix (Vindemiatrix - Gentle), Sadachbia (Sadachbia - Lively), Sadaltager (Sadaltager - Scholarly), Sulafat (Sulafat - High)]
--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). Seedlazy --helpfor details.
{
"ok": true,
"result": {
"tool": "gemini-2.5-tts",
"modelId": "gemini-2.5-tts",
"outputs": [
{
"type": "image",
"id": "o_xxxxxxxx",
"url": "https://files.dlazy.com/result.png",
"mimeType": "image/png"
}
]
}
}
Async tasks (when
--no-waitis passed) returnoutputs: []and atask: { generateId, status }field instead. Usedlazy status <generateId> --waitto poll.
# basic call:
dlazy gemini-2.5-tts --prompt 'prompt text'
# complex call:
dlazy gemini-2.5-tts --prompt 'prompt text'
| 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:
- 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- 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 usingdlazy auth set <key>and resume the task.
Visit https://dlazy.com for more information.