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Coding
Alibaba Cloud AI Content Aicontent
Manage and verify Alibaba Cloud AIContent resources through OpenAPI, SDKs, or OpenAPI Explorer.
What it does
Manage Alibaba Cloud AIContent resources through RPC OpenAPI calls using official SDKs or OpenAPI Explorer. Discover APIs and parameter schemas for product code `AiContent` and version `20240611`, then list, configure, or diagnose resources and verify changes with describe/list operations. Save response summaries and reproducibility evidence under the designated output directory.
When to use it
- Inventorying AIContent resources
- Creating or updating AIContent configuration
- Diagnosing resource status
- Recording reproducible API evidence
The skill document
Category: service
AIContent
Use Alibaba Cloud OpenAPI (RPC) with official SDKs or OpenAPI Explorer to manage resources for AIContent.
Workflow
- Confirm region, resource identifiers, and desired action.
- Discover API list and required parameters (see references).
- Call API with SDK or OpenAPI Explorer.
- Verify results with describe/list APIs.
AccessKey priority (must follow)
- Environment variables:
ALICLOUD_ACCESS_KEY_ID/ALICLOUD_ACCESS_KEY_SECRET/ALICLOUD_REGION_IDRegion policy:ALICLOUD_REGION_IDis an optional default. If unset, decide the most reasonable region for the task; if unclear, ask the user. - Shared config file:
~/.alibabacloud/credentials
API discovery
- Product code:
AiContent - Default API version:
20240611 - Use OpenAPI metadata endpoints to list APIs and get schemas (see references).
High-frequency operation patterns
- Inventory/list: prefer
List*/Describe*APIs to get current resources. - Change/configure: prefer
Create*/Update*/Modify*/Set*APIs for mutations. - Status/troubleshoot: prefer
Get*/Query*/Describe*StatusAPIs 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/alicloud-ai-content-aicontent/
Validation
mkdir -p output/alicloud-ai-content-aicontent
for f in skills/ai/content/alicloud-ai-content-aicontent/scripts/*.py; do
python3 -m py_compile "$f"
done
echo "py_compile_ok" > output/alicloud-ai-content-aicontent/validate.txt
Pass criteria: command exits 0 and output/alicloud-ai-content-aicontent/validate.txt is generated.
Output And Evidence
- Save artifacts, command outputs, and API response summaries under
output/alicloud-ai-content-aicontent/. - 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
Questions people ask
- How does it determine which AIContent API and parameters to use?
- It uses OpenAPI metadata endpoints to list available APIs and retrieve schemas before calling business APIs. The default product code is `AiContent`, with API version `20240611`.
- Where does it get Alibaba Cloud credentials and region settings?
- It prioritizes `ALICLOUD_ACCESS_KEY_ID`, `ALICLOUD_ACCESS_KEY_SECRET`, and optional `ALICLOUD_REGION_ID` environment variables, then falls back to `~/.alibabacloud/credentials`. If the region is unclear, it asks before mutating resources.
- How are operations verified and recorded?
- Changes are checked with `Describe*` or `List*` APIs. Artifacts, command output, API response summaries, and evidence including region, resource ID, and time range are stored under `output/alicloud-ai-content-aicontent/`.
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