# Dashscope

> Integración con DashScope (Alibaba Cloud Bailian / 阿里云百炼): generación de imágenes (qwen-image-2.0-pro), texto a voz (qwen3-tts-flash) y ASR con marcas de tiempo por palabra (qwen3-asr-flash-filetrans).

Fuente: https://skillsagentes.com/skills/calesthio/openmontage/dashscope
Markdown: https://skillsagentes.com/skills/calesthio/openmontage/dashscope.md

Repositorio: https://github.com/calesthio/OpenMontage
Autor: calesthio
Licencia: AGPL-3.0
Actualizado: el mes pasado
Coste de contexto: 82 tok instalada, 1.5k tok al activarse, 1.5k tok con todos los archivos del bundle
Bundle: 1 archivo, 6 KB
Permisos que pide: ninguno declarado

## Instalación

Un skill son archivos markdown: los mismos archivos valen para cualquier agente y lo único que cambia es el directorio de destino, es decir la bandera `--agent`. Añade `-g` para instalarlo en todos los proyectos de la máquina.

```bash
# Claude Code
npx -y skills add calesthio/OpenMontage --skill dashscope --agent claude-code
# Cursor
npx -y skills add calesthio/OpenMontage --skill dashscope --agent cursor
# Codex
npx -y skills add calesthio/OpenMontage --skill dashscope --agent codex
# Gemini CLI
npx -y skills add calesthio/OpenMontage --skill dashscope --agent gemini
# Windsurf
npx -y skills add calesthio/OpenMontage --skill dashscope --agent windsurf
# Cline
npx -y skills add calesthio/OpenMontage --skill dashscope --agent cline
```

## Qué hace

- Integra DashScope (Alibaba Cloud Bailian / 阿里云百炼) en OpenMontage
- Genera imágenes con qwen-image-2.0-pro, por selector o directamente
- Sintetiza narración con qwen3-tts-flash
- Transcribe con qwen3-asr-flash-filetrans y devuelve marcas de tiempo por palabra, útiles para subtítulos

## Cuándo usarla

- Generar imágenes con Qwen-Image
- Narrar con Qwen-TTS
- Transcribir con marcas de tiempo por palabra usando Qwen-ASR

## Qué la activa

- "Genera esta imagen con Qwen-Image"
- "Transcribe este audio con marcas por palabra"
- "Ponle narración a este guion con Qwen-TTS"

## Antes de instalar

- Necesita credenciales de DashScope (Alibaba Cloud Bailian).
- makes network requests

## Archivos

- SKILL.md — 6 KB

## SKILL.md

Reproducido tal cual desde calesthio/OpenMontage bajo AGPL-3.0. Esta sección es el documento original y está en inglés.

# DashScope

Requires `DASHSCOPE_API_KEY` in `.env`. Get one at https://dashscope.aliyun.com/.

## Current API

**CRITICAL:** DashScope's `/compatible-mode/v1/` only supports `/chat/completions` and `/embeddings`. Image generation, TTS, and ASR all use **DashScope-native endpoints** — not OpenAI-compatible paths.

All three tools use `Authorization: Bearer $DASHSCOPE_API_KEY`.

### Image Generation

```text
POST https://dashscope.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation
```

- Model: `qwen-image-2.0-pro` (default), `qwen-image-max`, `wan2.7-image`, `z-image-turbo`
- Body: `{model, input: {messages: [{role: "user", content: [{text: "prompt"}]}]}, parameters: {size: "W*H", n, prompt_extend, watermark}}`
- **Size format uses asterisk:** `"1024*1024"` not `"1024x1024"`
- Response: `output.choices[0].message.content[0].image` (URL, valid ~24h) — must download separately

### Text-to-Speech

```text
POST https://dashscope.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation
```

Same endpoint as image gen, different body.

- Model: `qwen3-tts-flash` (default), `qwen3-tts-instruct-flash`, `qwen-tts-2025-05-22`
- Body: `{model, input: {text, voice: "Cherry", language_type: "Auto"}}`
- Response: `output.audio.url` (WAV, valid ~24h) — must download separately

### ASR with Word-Level Timestamps

```text
POST https://dashscope.aliyuncs.com/api/v1/services/audio/asr/transcription
Header: X-DashScope-Async: enable
```

- Model: `qwen3-asr-flash-filetrans` (NOT `qwen3-asr-flash` — the sync version has no word timestamps)
- Body: `{model, input: {file_url: "https://public-url/audio.mp3"}, parameters: {enable_words: true, language_hints: ["zh","en"]}}`
- Returns `task_id` → poll `GET /api/v1/tasks/{task_id}` until `SUCCEEDED` → download `output.result.transcription_url` → JSON with `transcripts[].sentences[].words[]`
- Timestamps in `begin_time`/`end_time` are in **milliseconds** — the tool normalizes to seconds

## OpenMontage Usage

### Image via selector

```python
from tools.graphics.image_selector import ImageSelector

result = ImageSelector().execute({
    "preferred_provider": "dashscope",
    "prompt": "一只猫坐在沙发上",
    "output_path": "projects/my-video/assets/images/cat.png",
})
```

### TTS via selector

```python
from tools.audio.tts_selector import TTSSelector

result = TTSSelector().execute({
    "preferred_provider": "dashscope",
    "text": "如果 AI 真的会改变未来，普通人到底该怎么参与？",
    "voice": "Cherry",
    "output_path": "projects/my-video/assets/audio/narration.wav",
})
```

### ASR directly (word timestamps for subtitles)

```python
from tools.analysis.dashscope_asr import DashscopeAsr

result = DashscopeAsr().execute({
    "audio_url": "https://example.com/narration.wav",
    "output_path": "projects/my-video/assets/audio/transcription.json",
})

# result.data["words"] is a flat list of {text, begin_time_seconds, end_time_seconds}
```

## Recommended Workflow

1. **Image:** Generate a sample first. Check `prompt_extend: true` (default) — DashScope rewrites your prompt for better results. Disable if you need literal prompt adherence.
2. **TTS:** Generate a 10-15 second sample before full narration. Approve voice and pacing before committing to full generation.
3. **ASR:** Audio must be at a **publicly accessible URL**. Upload to any public host (S3, etc.) first. Local paths are rejected with a clear error.
4. **Subtitles:** Build from `result.data["words"]` — each word has `begin_time_seconds` and `end_time_seconds`. Group words into caption phrases by language semantics, not fixed character count.

## Parameters

### Image (`dashscope_image`)
- `prompt` (required): text prompt
- `model`: default `qwen-image-2.0-pro`
- `size`: default `"1024*1024"` — **asterisk separator, not "x"**
- `n`: 1-6 images
- `negative_prompt`: things to avoid (max 500 chars)
- `prompt_extend`: default `true` — auto-rewrite prompt for better results
- `watermark`: default `false`
- `seed`: for reproducibility

### TTS (`dashscope_tts`)
- `text` (required): text to synthesize (max 600 chars for qwen3-tts-flash)
- `model`: default `qwen3-tts-flash`
- `voice`: default `"Cherry"` — other voices: `"Ethan"`, `"Chelsie"`, etc.
- `language_type`: default `"Auto"` — `"Chinese"`, `"English"`, `"Japanese"`, `"Korean"`
- `instructions`: natural language delivery instructions (only for `qwen3-tts-instruct-flash`)

### ASR (`dashscope_asr`)
- `audio_url` (required): **must be publicly accessible URL**
- `model`: `qwen3-asr-flash-filetrans` (only model that supports word timestamps)
- `language_hints`: default `["zh", "en"]`
- `enable_words`: default `true` — required for word-level timestamps
- `poll_interval_seconds`: default `5.0`
- `timeout_seconds`: default `300`

## Troubleshooting

- **Image size error:** Use `"W*H"` with asterisk, not `"WxH"`. Example: `"2048*2048"`.
- **TTS no audio URL:** Check `output.audio.url` — if empty, the model name or voice may be wrong.
- **ASR "file not accessible":** `audio_url` must be publicly reachable. DashScope servers fetch the file; local paths and auth-gated URLs don't work.
- **ASR poll timeout:** Increase `timeout_seconds` (default 300). Long audio files take longer to transcribe.
- **ASR no word timestamps:** Ensure `enable_words: true` and model is `qwen3-asr-flash-filetrans` (not the sync `qwen3-asr-flash`).
- **Auth error (401):** Verify `DASHSCOPE_API_KEY` is set. Use `Authorization: Bearer $KEY` header.

## Safety

Never print or write the API key to logs, metadata, patches, or project artifacts. `.env.example` should contain only empty variable names. The tool's `_safe_error()` method redacts the key from error messages.

## Dónde encaja

- Categoría: [Desarrollo de APIs](https://skillsagentes.com/categorias/desarrollo-apis.md) — Diseña, prueba y documenta APIs HTTP y GraphQL.
- Creador: [calesthio](https://skillsagentes.com/creators/calesthio.md) — 0 skills en el directorio
- [Todas las skills](https://skillsagentes.com/skills.md)
- [Ranking de instalaciones](https://skillsagentes.com/ranking.md)

## Otras skills del mismo repositorio

- [Seedance 2 5](https://skillsagentes.com/skills/calesthio/openmontage/seedance-2-5.md): Genera vídeo cinematográfico de 4-30 s con ByteDance Seedance 2.5 por fal.ai, Volcengine Ark, Runway o ComfyUI. Cubre el contrato de prompt 2.5, cortes duros, locks de continuidad y voz.
- [Comfyui](https://skillsagentes.com/skills/calesthio/openmontage/comfyui.md): Úsalo al trabajar con workflows de ComfyUI en OpenMontage: comfyui_image/video/music, workflows propios, selección de output_node, modelos que faltan, LoRAs, poca VRAM e importación de workflows de la comunidad.
- [Fish Audio Tts](https://skillsagentes.com/skills/calesthio/openmontage/fish-audio-tts.md): Genera narración expresiva y multilingüe con fish.audio (modelos S1 / S2) y reutiliza voces clonadas mediante reference_id.
- [Minimax H3](https://skillsagentes.com/skills/calesthio/openmontage/minimax-h3.md): Genera vídeo con MiniMax H3 (Hailuo 3.0) por la API oficial v2, fal.ai, Runway, nodos partner de ComfyUI o pesos abiertos locales. Clips de 4-15s a 2K con animación de primer/último fotograma.
- [Gemini Omni](https://skillsagentes.com/skills/calesthio/openmontage/gemini-omni.md): Genera y edita conversacionalmente vídeos cortos con Google Gemini Omni Flash: itera con ediciones en lenguaje natural, clips de 3-10s a 720p con audio y texto en pantalla, e imágenes de referencia por etiquetas.

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