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dlazyai

Dlazy Qwen Tts

by dlazy · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install dlazy-qwen-tts
Description
Alibaba Bailian qwen3-tts text-to-speech. Choose from curated system voices (including dialects) or design a custom voice from a natural-language description.
README (SKILL.md)

dlazy-qwen-tts

English · 中文

Alibaba Bailian qwen3-tts text-to-speech. Choose from curated system voices (including dialects) or design a custom voice from a natural-language description.

Trigger Keywords

  • qwen-tts

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

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

npx @dlazy/[email protected] \x3Ccommand>

Or, if you prefer a global install, the skill's metadata.clawdbot.install field declares the exact pinned version (npm install -g @dlazy/[email protected]). 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: Execute dlazy qwen-tts to get the result.

dlazy qwen-tts -h

Options:
  --prompt [prompt]                    Prompt
  --generation_mode [generation_mode]  Generation Mode(system=System Voice; design=Designed by Description) [default: system] (choices: "system", "design")
  --voice [voice]                      Voice [default: Cherry] (choices: "Cherry", "Serena", "Ethan", "Chelsie", "Momo", "Vivian", "Moon", "Maia", "Kai", "Nofish", "Bella", "Jennifer", "Ryan", "Katerina", "Aiden", "Eldric Sage", "Mia", "Mochi", "Bellona", "Vincent", "Bunny", "Neil", "Elias", "Arthur", "Nini", "Seren", "Pip", "Stella", "Jada", "Dylan", "Sunny", "Eric", "Rocky", "Kiki", "Peter", "Marcus", "Roy", "Li") [only when generation_mode="system"]
  --voice_prompt [voice_prompt]        Voice Description (describe the voice you want in natural language) [default: ] [only when generation_mode="design"]
  --language_type [language_type]      Language [default: Auto] (choices: "Auto", "Chinese", "English", "Japanese", "Korean", "French", "German", "Italian", "Portuguese", "Russian", "Spanish")
  --dry-run                            Print payload + cost estimate without calling API
  --no-wait                            Return generateId immediately for async tasks
  --timeout \x3Cseconds>                  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

{
  "ok": true,
  "result": {
    "tool": "qwen-tts",
    "modelId": "qwen-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 \x3CgenerateId> --wait to poll.

Examples

dlazy qwen-tts --prompt 'prompt content'

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 \x3Cprompt>' not specified
502 Local file read error Error: Image file/Video file not found: C:\path o\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 \x3Ckey> and resume the task.

Tips

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

Usage Guidance
Install only if you are comfortable with maintainer-oriented skills that can run code review tools over local diffs and, in the autoreview path, grant a nested reviewer full local access by default. For routine use, run autoreview with `--no-yolo` or `AUTOREVIEW_YOLO=0`, and avoid fallback reviewers for confidential code unless you trust those CLIs and their providers.
Capability Tags
requires-sensitive-credentials
Capability Assessment
Purpose & Capability
The Convex, ClawHub moderation, PR review, and UI proof instructions are coherent with their stated purposes; moderation actions are high impact but include target, reason, confirmation, auth, and audit-log guardrails.
Instruction Scope
The autoreview helper is purpose-aligned, but it runs nested Codex review with approval and sandbox bypass plus danger-full-access by default, with opt-out flags. That is broader authority than a review helper normally needs.
Install Mechanism
The artifact is a set of skill files, references, icons, and one helper script; I found no install hook, package lifecycle script, or automatic execution path in the skill artifacts.
Credentials
The autoreview flow can gather git diffs and send them to Codex or fallback reviewer CLIs, and can auto-run static checks. This is disclosed and relevant to code review, but users should treat it as broad local-code exposure.
Persistence & Privilege
I found no daemon, cron, or persistent background worker in the skill artifacts. The main privilege concern is the default full-access nested reviewer; ClawHub moderation commands are powerful but user-confirmed and audited.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install dlazy-qwen-tts
  3. After installation, invoke the skill by name or use /dlazy-qwen-tts
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
dlazy-qwen-tts 1.1.1 update summary: - Expanded documentation with clear setup, usage, and authentication instructions. - Listed all available voices and voice design options. - Detailed error messages and required user actions for common API errors. - Included sample CLI commands, output formats, and troubleshooting tips. - Updated metadata with install instructions and helpful links.
Metadata
Slug dlazy-qwen-tts
Version 1.0.0
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Dlazy Qwen Tts?

Alibaba Bailian qwen3-tts text-to-speech. Choose from curated system voices (including dialects) or design a custom voice from a natural-language description. It is an AI Agent Skill for Claude Code / OpenClaw, with 43 downloads so far.

How do I install Dlazy Qwen Tts?

Run "/install dlazy-qwen-tts" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Dlazy Qwen Tts free?

Yes, Dlazy Qwen Tts is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Dlazy Qwen Tts support?

Dlazy Qwen Tts is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Dlazy Qwen Tts?

It is built and maintained by dlazy (@dlazyai); the current version is v1.0.0.

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