Alibabacloud Bailian RAG Knowledgebase

Bailian Knowledge Base Retrieval

This Skill provides query and retrieval capabilities for Alibaba Cloud Bailian Knowledge Base via HTTPS API.

API Key Security Management

Scripts automatically handle key retrieval via api_key.py. The Agent does not need to and should not manually extract, set, or pass API Key values.

• Key retrieval is automated: Scripts internally call api_key.py to automatically obtain keys from config files/environment variables. The Agent only needs to run the script command.
• Never hardcode any form of key: Including api_key = "sk-...", export DASHSCOPE_API_KEY="sk-...", and assigning keys in shell scripts.
• Never extract keys from CLI output: The Agent must not write key values into any script, variable, or file.
• Never expose keys in any output: Including generated scripts, shell commands, log files, and terminal output containing strings starting with sk-.
• Never read or print keys from config files: Do not use cat, jq, python -c, or other commands to read and output API Key values.
• Mandatory self-check before task completion: Run grep -rn "sk-" <output_directory>/ to check all output files; if any strings starting with sk- are found (excluding sk-xxx placeholders), delete the affected files and regenerate.

🚀 Initial Setup (Required for First-time Use)

1. Configure API Key

API Keys are managed by the unified scripts/api_key.py module, with the following retrieval priority:

1. Alibaba Cloud CLI config ~/.aliyun/config.json current profile's dashscope.api_key
2. Environment variable DASHSCOPE_API_KEY
3. Auto-create and save when Alibaba Cloud CLI is available (generate_api_key())

# All scripts use this unified approach
from api_key import get_api_key
api_key = get_api_key()  # Returns str, raises ValueError if not found

Manual environment variable configuration:

export DASHSCOPE_API_KEY=sk-xxx

Alibaba Cloud CLI Configuration (API Key Auto-Create/Delete)

The scripts/api_key.py module creates and deletes API Keys via aliyun modelstudio commands. Complete the following setup before use:

1. Update Plugins

# Update plugins to latest version
aliyun plugin update

2. Install ModelStudio Plugin (if not already installed)

aliyun plugin install --names aliyun-cli-modelstudio --enable-pre

CLI Commands Used:

2. Important Prerequisite: Activate Bailian Knowledge Base Service

Before using this skill, you must first activate the knowledge base service in the Alibaba Cloud Bailian console!

1. Visit Bailian Knowledge Base page
2. Click the "Activate Now" button
3. Confirm activation and wait for the service to take effect (usually 1-2 minutes)

Observability (MUST follow for every aliyun command)

Upon loading this skill, generate a random session ID (32-char lowercase hex string) and export it as SKILL_SESSION_ID. This value must remain constant for the entire skill session.

Every aliyun CLI command and HTTPS API call must include a User-Agent identifier for traceability.

User-Agent Format

AlibabaCloud-Agent-Skills/alibabacloud-bailian-rag-knowledgebase/{session-id}

• {session-id} = value of SKILL_SESSION_ID environment variable (32-char lowercase hex string)
• Scripts read it via os.environ.get("SKILL_SESSION_ID", ""); if empty, generate one with secrets.token_hex(16)

Per-Command --user-agent (CLI)

Every aliyun modelstudio business command MUST carry --user-agent on the command line:

aliyun modelstudio list-workspaces --region cn-beijing \
  --user-agent "AlibabaCloud-Agent-Skills/alibabacloud-bailian-rag-knowledgebase/{session-id}"

Prohibited: Do NOT set User-Agent via global configuration commands. Only per-command --user-agent is allowed.

HTTPS User-Agent Header

All HTTPS API requests set the User-Agent HTTP header:

"User-Agent": f"AlibabaCloud-Agent-Skills/alibabacloud-bailian-rag-knowledgebase/{session_id}"

Applied Locations

Available Scripts

All scripts are located in the scripts/ directory:

Workflow

Step 1: Query Knowledge Base List

Run scripts/list_indices.py to get all available knowledge bases:

python3 scripts/list_indices.py

Return format:

[
  {
    "id": "qf91w6402d",
    "name": "Product Documentation",
    "description": "Contains product user manuals, API documentation, etc."
  },
  {
    "id": "ip93d2pyvz",
    "name": "Customer Service Q&A",
    "description": "FAQ, customer service scripts"
  }
]

Pagination: page_number starts from 1 (default), page_size defaults to 10. If current page is not fully retrieved, continue to retrieve next page:

python3 scripts/list_indices.py 2 10

Step 2: Intelligent Knowledge Base Selection

Based on the user's question and knowledge base descriptions, select 1-3 most relevant knowledge bases for retrieval.

Selection Strategy:

• Match keywords (keywords in question vs knowledge base name/description)
• Prioritize knowledge bases that explicitly contain relevant fields in their descriptions
• If uncertain, select all or let user manually select

Step 3: Execute Retrieval

For each selected knowledge base, run scripts/retrieve.py index_id query [top_n]:

python3 scripts/retrieve.py lj3hgbq60t "java" 5

Parameters:

• index_id (required): Knowledge base ID
• query (required): Search query text
• top_n (optional): Number of top results to return, default 5, max 20

The retrieve API uses the following configuration:

• dense_similarity_top_k: 100
• sparse_similarity_top_k: 100
• enable_reranking: true
• rerank: qwen3-rerank-hybrid with similar mode

Return format, content inside each chunk represents chunk content, doc_name represents source document, score represents match score, title represents chunk section title:

{
  "indexId": "lj3hgbq60t",
  "chunks": [
    {
      "content": "Document chunk content...",
      "score": 0.6040189862251282,
      "doc_name": "example-doc.pdf",
      "title": "Section Title"
    }
  ]
}

Step 4: Integrate Answer

Based on retrieval results: