阿里云Model Studio路由指南：一站式调用文生图、语音、视频等AI技能

alicloud-ai-entry-modelstudio by cinience/alicloud-skills

249 周安装量

364 GitHub Stars

GitHub

安装命令

npx skills add https://github.com/cinience/alicloud-skills --skill alicloud-ai-entry-modelstudio

AI/机器学习自动化云服务

🇨🇳中文介绍

类别：任务

阿里云 Model Studio 入口（路由）

将请求路由到现有的本地技能，以避免重复模型/参数细节。

前提条件

安装 SDK（建议使用虚拟环境以避免 PEP 668 限制）：

python3 -m venv .venv . .venv/bin/activate python -m pip install dashscope
配置 DASHSCOPE_API_KEY（首选环境变量；或 ~/.alibabacloud/credentials 文件中的 dashscope_api_key）。

路由表（当前在此仓库中支持）

需求	目标技能
文生图 / 图像生成	`skills/ai/image/alicloud-ai-image-qwen-image/`
图像编辑	`skills/ai/image/alicloud-ai-image-qwen-image-edit/`

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此仓库中常见的缺失能力（推荐后续添加）

文本生成/对话 (LLM) 和多模态理解
文本/多模态嵌入和重排序
视频编辑（风格/口型同步/编辑）
对于多模态/ASR 下载失败，优先使用上面列出的公开 URL。
对于 ASR 参数错误，请在 input_audio.data 中使用 data URI。
对于多模态嵌入 400 错误，请确保 input.contents 是一个数组。

异步任务轮询模板（视频/长时间运行任务）

当 X-DashScope-Async: enable 返回 task_id 时，按如下方式轮询：

GET https://dashscope.aliyuncs.com/api/v1/tasks/<task_id>
Authorization: Bearer $DASHSCOPE_API_KEY

结果字段示例（成功）：

{
  "output": {
    "task_status": "SUCCEEDED",
    "video_url": "https://..."
  }
}

建议轮询间隔：15-20 秒，最多尝试 10 次。
成功后，下载 output.video_url。

澄清性问题（不确定时询问）

您在处理文本、图像、音频还是视频？
这是生成、编辑/理解还是检索任务？
您需要语音（TTS/ASR）还是向量检索（嵌入/重排序）？
您需要可运行的 SDK 脚本还是仅需 API/参数指导？

模型列表和链接：output/alicloud-model-studio-models-summary.md
API/参数/示例：参见目标子技能的 SKILL.md 和 references/*.md
官方来源列表：references/sources.md

mkdir -p output/alicloud-ai-entry-modelstudio
echo "validation_placeholder" > output/alicloud-ai-entry-modelstudio/validate.txt

通过标准：命令以 0 退出且生成 output/alicloud-ai-entry-modelstudio/validate.txt 文件。

将工件、命令输出和 API 响应摘要保存在 output/alicloud-ai-entry-modelstudio/ 目录下。
在证据文件中包含关键参数（区域/资源 ID/时间范围）以确保可复现性。

确认用户意图、区域、标识符以及操作是只读的还是会修改数据。
首先运行一个最小化的只读查询以验证连接性和权限。
使用明确的参数和有限的范围执行目标操作。
验证结果并保存输出/证据文件。

🇺🇸English

Category: task

Alibaba Cloud Model Studio Entry (Routing)

Route requests to existing local skills to avoid duplicating model/parameter details.

Prerequisites

Install SDK (virtual environment recommended to avoid PEP 668 restrictions):

python3 -m venv .venv . .venv/bin/activate python -m pip install dashscope
Configure DASHSCOPE_API_KEY (environment variable preferred; or dashscope_api_key in ~/.alibabacloud/credentials).

Routing Table (currently supported in this repo)

Need	Target skill
Text-to-image / image generation	`skills/ai/image/alicloud-ai-image-qwen-image/`
Image editing	`skills/ai/image/alicloud-ai-image-qwen-image-edit/`
Text-to-video / image-to-video (i2v)	`skills/ai/video/alicloud-ai-video-wan-video/`
Reference-to-video (r2v)	`skills/ai/video/alicloud-ai-video-wan-r2v/`
Text-to-speech (TTS)	`skills/ai/audio/alicloud-ai-audio-tts/`
Speech recognition/transcription (ASR)	`skills/ai/audio/alicloud-ai-audio-asr/`
Realtime TTS	`skills/ai/audio/alicloud-ai-audio-tts-realtime/`
Voice clone	`skills/ai/audio/alicloud-ai-audio-tts-voice-clone/`
Voice design	`skills/ai/audio/alicloud-ai-audio-tts-voice-design/`
Vector retrieval	`skills/ai/search/alicloud-ai-search-dashvector/` or `skills/ai/search/alicloud-ai-search-opensearch/` or `skills/ai/search/alicloud-ai-search-milvus/`
Document understanding	`skills/ai/text/alicloud-ai-text-document-mind/`
Model list crawl/update	`skills/ai/misc/alicloud-ai-misc-crawl-and-skill/`

When Not Matched

Clarify model capability and input/output type first.
If capability is missing in repo, add a new skill first.

Common Missing Capabilities in This Repo (recommended next)

text generation/chat (LLM) and multimodal understanding
text/multimodal embeddings and rerank
video editing (style/lip-sync/editing)
For multimodal/ASR download failures, prefer public URLs listed above.
For ASR parameter errors, use data URI in input_audio.data.
For multimodal embedding 400, ensure input.contents is an array.

Async Task Polling Template (video/long-running tasks)

When X-DashScope-Async: enable returns task_id, poll as follows:

GET https://dashscope.aliyuncs.com/api/v1/tasks/<task_id>
Authorization: Bearer $DASHSCOPE_API_KEY

Example result fields (success):

{
  "output": {
    "task_status": "SUCCEEDED",
    "video_url": "https://..."
  }
}

Notes:

Recommended polling interval: 15-20 seconds, max 10 attempts.
After success, download output.video_url.

Clarifying questions (ask when uncertain)

Are you working with text, image, audio, or video?
Is this generation, editing/understanding, or retrieval?
Do you need speech (TTS/ASR) or vector retrieval (embedding/rerank)?
Do you want runnable SDK scripts or just API/parameter guidance?

References

Model list and links:output/alicloud-model-studio-models-summary.md
API/parameters/examples: see target sub-skill SKILL.md and references/*.md
Official source list:references/sources.md

Validation

mkdir -p output/alicloud-ai-entry-modelstudio
echo "validation_placeholder" > output/alicloud-ai-entry-modelstudio/validate.txt

Pass criteria: command exits 0 and output/alicloud-ai-entry-modelstudio/validate.txt is generated.

Output And Evidence

Save artifacts, command outputs, and API response summaries under output/alicloud-ai-entry-modelstudio/.
Include key parameters (region/resource id/time range) in evidence files for reproducibility.

Workflow

Confirm user intent, region, identifiers, and whether the operation is read-only or mutating.
Run one minimal read-only query first to verify connectivity and permissions.
Execute the target operation with explicit parameters and bounded scope.
Verify results and save output/evidence files.

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