Coding

Alibaba Cloud AI Contactcenter AI

Manage and verify Alibaba Cloud Contact Center AI resources through OpenAPI or official SDKs.

What it does

Manage Alibaba Cloud Contact Center AI resources through RPC OpenAPI calls using official SDKs or OpenAPI Explorer. Discover APIs and parameter schemas from ContactCenterAI metadata, perform list, create, update, query, or status operations, then verify changes with describe/list APIs. Save API inventories, response summaries, and reproducibility evidence under the designated output directory.

When to use it

  • Contact Center AI resource inventory
  • Resource creation or configuration updates
  • Status checks and API troubleshooting
  • OpenAPI inventory and schema discovery

The skill document

Category: service

Contact Center AI

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

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: ContactCenterAI
  • Default API version: 2024-06-03
  • 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  --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-contactcenter-ai/

Validation

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

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

Output And Evidence

  • Save artifacts, command outputs, and API response summaries under output/alicloud-ai-contactcenter-ai/.
  • 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

Questions people ask

How does it determine which Contact Center AI API to call?
It uses OpenAPI metadata to list APIs and inspect required parameter schemas for product code `ContactCenterAI`, with API version `2024-06-03` as the default.
Where does it read Alibaba Cloud credentials and region settings?
It prioritizes `ALICLOUD_ACCESS_KEY_ID`, `ALICLOUD_ACCESS_KEY_SECRET`, and optional `ALICLOUD_REGION_ID` environment variables, then `~/.alibabacloud/credentials`. If the region is unclear, it asks before mutating resources.
How are operations verified and recorded?
Changes are checked with describe/list APIs. Artifacts, command output, API response summaries, and evidence containing key parameters are saved under `output/alicloud-ai-contactcenter-ai/`.

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