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)

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 (remaining gaps)

• image translation

• virtual try-on / digital human / advanced video personas

• 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)

1. Are you working with text, image, audio, or video?
2. Is this generation, editing/understanding, or retrieval?
3. Do you need speech (TTS/ASR/live translate) or retrieval (embedding/rerank/vector DB)?
4. 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

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