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Alicloud Ai Recommend Airec

使用阿里云 OpenAPI(RPC)与官方 SDK 管理 AIRec 智能推荐服务资源,覆盖列举/查询、创建/更新配置、状态检查与故障排查;先确认区域与凭证,通过元数据接口发现 API,再调用业务接口并校验结果,产物写入指定输出目录。

cinience
cinience
热度 84.25
最近更新 2026-05-11 16:09:54
分类:自动化依赖:代码执行 / 第三方 API / 读写文件应用场景:API 集成 / 自动化脚本 / DevOps / 工作流

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add alicloud-ai-recommend-airec
Metadata
name
alicloud-ai-recommend-airec
description
Manage Alibaba Cloud AIRec (Airec) via OpenAPI/SDK. Use whenever the user needs recommendation-engine resource operations in Alibaba Cloud, including list/create/update flows, status inspection, and troubleshooting AIRec configuration or runtime issues.
version
1.0.0

Category: service

AIRec

Use Alibaba Cloud OpenAPI (RPC) with official SDKs or OpenAPI Explorer to manage resources for AIRec.

Workflow

  1. Confirm region, resource identifiers, and desired action.
  2. Discover API list and required parameters (see references).
  3. Call API with SDK or OpenAPI Explorer.
  4. Verify results with describe/list APIs.

AccessKey priority (must follow)

  1. Environment variables: ALICLOUD_ACCESS_KEY_ID / ALICLOUD_ACCESS_KEY_SECRET / ALICLOUD_REGION_ID Region policy: ALICLOUD_REGION_ID is an optional default. If unset, decide the most reasonable region for the task; if unclear, ask the user.
  2. Shared config file: ~/.alibabacloud/credentials

API discovery

  • Product code: Airec
  • Default API version: 2020-11-26
  • Use OpenAPI metadata endpoints to list APIs and get schemas (see references).

High-frequency operation patterns

  1. Inventory/list: prefer List* / Describe* APIs to get current resources.
  2. Change/configure: prefer Create* / Update* / Modify* / Set* APIs for mutations.
  3. Status/troubleshoot: prefer Get* / Query* / Describe*Status APIs for diagnosis.

Minimal executable quickstart

Use metadata-first discovery before calling business APIs:

python scripts/list_openapi_meta_apis.py

Optional overrides:

python scripts/list_openapi_meta_apis.py --product-code <ProductCode> --version <Version>

The script writes API inventory artifacts under the skill output directory.

Output policy

If you need to save responses or generated artifacts, write them under: output/alicloud-ai-recommend-airec/

Validation

mkdir -p output/alicloud-ai-recommend-airec
for f in skills/ai/recommendation/alicloud-ai-recommend-airec/scripts/*.py; do
  python3 -m py_compile "$f"
done
echo "py_compile_ok" > output/alicloud-ai-recommend-airec/validate.txt

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

Output And Evidence

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

Prerequisites

  • Configure least-privilege Alibaba Cloud credentials before execution.
  • Prefer environment variables: ALICLOUD_ACCESS_KEY_ID, ALICLOUD_ACCESS_KEY_SECRET, optional ALICLOUD_REGION_ID.
  • If region is unclear, ask the user before running mutating operations.

References

  • Sources: references/sources.md