视频生成 Veo 3.1

SKILL.md

---
name: dlazy-veo-3.1
version: 1.2.1
description: Generate high-quality cinematic effects videos with Google Veo 3.1. 使用 Google Veo 3.1 模型，生成高质量的电影级特效视频，支持文生视频与图生视频。
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 veo-3.1 -h for help.' },
  }
---

# dlazy-veo-3.1

[English](./SKILL.md) · [中文](./SKILL-cn.md)

Generate high-quality cinematic effects videos with Google Veo 3.1.

## Trigger Keywords

- veo 3.1
- generate video
- text to video, image to video

## 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 `1.0.9` 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@1.2.0 <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.

## 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 veo-3.1` command to get results.

```bash
dlazy veo-3.1 -h

Options:
  --prompt [prompt]                    Prompt
  --generation_mode [generation_mode]  Generation Mode（frames=Frames; components=Components; extend=Extend Video） [default: frames] (choices: "frames", "components", "extend")
  --firstFrame [firstFrame]            First Frame [image: url or local path] [only when generation_mode="frames"]
  --lastFrame [lastFrame]              Last Frame [image: url or local path] [only when generation_mode="frames"]
  --images [images...]                 Images [image: url or local path] (max 3) [only when generation_mode="components"]
  --video [video]                      Video (URL) [video: url or local path] [only when generation_mode="extend"]
  --size [size]                        Size [default: 16:9] (choices: "16:9", "9:16") [only when generation_mode!="extend"]
  --resolution [resolution]            Resolution [default: 720P] (choices: "720P", "1080P", "4K") [only when generation_mode!="extend"]
  --duration [duration]                Duration (s) (4/6/8 in frames mode; fixed 8 in components mode; fixed 7 in extend mode) Options depend on "generation_mode". when generation_mode="": 4 (4s), 6 (6s), 8 (8s); when generation_mode="generation_mode=components": 8 (8s); when generation_mode="generation_mode=extend": 7 (+7s) [default: 8] (choices: "4", "6", "8", "7")
  --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": "veo-3.1",
    "modelId": "veo-3.1",
    "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 veo-3.1 --prompt 'prompt text' --image '/path/to/image.png'

# complex call:
dlazy veo-3.1 --prompt 'prompt text' --image 'https://files.dlazy.com/image.png'
```

## 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.