Manage Alibaba Cloud beebot (Chatbot) via OpenAPI/SDK. Use whenever the user asks to configure, query, or troubleshoot Alibaba Cloud chatbot resources, inclu...
Coding
Alibaba Cloud AI Chatbot
Try itUse when managing Alibaba Cloud beebot (Chatbot) via OpenAPI/SDK, including the user asks to configure, query, or troubleshoot Alibaba Cloud chatbot resource...
What it does
Use when managing Alibaba Cloud beebot (Chatbot) via OpenAPI/SDK, including the user asks to configure, query, or troubleshoot Alibaba Cloud chatbot resource...
The skill document
Category: service
Chatbot (beebot)
Use Alibaba Cloud OpenAPI (RPC) with official SDKs or OpenAPI Explorer to manage resources for beebot.
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:
Chatbot - Default API version:
2022-04-08 - 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/aliyun-chatbot-manage/
Validation
mkdir -p output/aliyun-chatbot-manage
for f in skills/ai/service/aliyun-chatbot-manage/scripts/*.py; do
python3 -m py_compile "$f"
done
echo "py_compile_ok" > output/aliyun-chatbot-manage/validate.txt
Pass criteria: command exits 0 and output/aliyun-chatbot-manage/validate.txt is generated.
Output And Evidence
- Save artifacts, command outputs, and API response summaries under
output/aliyun-chatbot-manage/. - 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
Related skills
Use when managing Alibaba Cloud Quan Miao (AiMiaoBi) via OpenAPI/SDK, including the user asks for Alibaba Cloud MiaoBi content operations, including listing...
Manage Alibaba Cloud Cloud Call Center (CCC) via OpenAPI/SDK. Use whenever the user is working on CCC operations such as instance/resource management, config...
Use when managing Alibaba Cloud Cloud Call Center (CCC) via OpenAPI/SDK, including the user is working on CCC operations such as instance/resource management...
Manage Alibaba Cloud Contact Center AI (ContactCenterAI) via OpenAPI/SDK. Use whenever the task involves Contact Center AI resource lifecycle operations, con...
Alibaba Cloud OOS ChatOps Agent for natural-language cloud resource management and O&M operations. Supports querying ECS/RDS/VPC/SLB resources, executing ope...