详细分析 ▾
运行时依赖
版本
Initial release of aliyun-pai-workspace skill. - Enables management of Alibaba Cloud PAI AIWorkspace resources using official OpenAPI and SDKs. - Supports common workspace actions: inventory, create/update, status queries, permissions, and automation. - Recommends environment variables for AccessKey credentials; falls back to shared credential config. - Provides quickstart scripts for OpenAPI metadata discovery and validation procedures. - Outputs evidence and API responses to a dedicated directory for reproducibility. - Includes extensive usage workflow and operational best practices.
安装命令 点击复制
技能文档
Category: service
# PAI AIWorkspace
Use Alibaba Cloud OpenAPI (RPC) with official SDKs or OpenAPI Explorer to manage resources for Platform for Artificial Intelligence PAI - AIWorkspace.
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:
AIWorkSpace - Default API version:
2021-02-04 - 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 / DescribeStatus 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 --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/aliyun-pai-workspace/
Validation
mkdir -p output/aliyun-pai-workspace
for f in skills/ai/platform/aliyun-pai-workspace/scripts/.py; do
python3 -m py_compile "$f"
done
echo "py_compile_ok" > output/aliyun-pai-workspace/validate.txt
Pass criteria: command exits 0 and output/aliyun-pai-workspace/validate.txt is generated.
Output And Evidence
- Save artifacts, command outputs, and API response summaries under
output/aliyun-pai-workspace/. - 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, optionalALICLOUD_REGION_ID. - If region is unclear, ask the user before running mutating operations.
References
- Sources:
references/sources.md
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