Bailian Subagent Skill#

Delegate token-intensive tasks to Bailian (DashScope) subagent and manage MaxCompute agent_memory table.

1. When to Delegate to Bailian Subagent#

Spawn a Bailian subagent when tasks involve:

• PDF parsing - Extract text, tables, or structure from PDFs
• Article/Web reading & summarization - Long articles, documentation pages
• Large skill content processing - When skill files exceed normal context
• Video/Audio/Image analysis - Multimodal content processing
• DataWorks / MaxCompute operations - SQL execution, table management
• agent_memory table CRUD - Read/write long-term memory
• Any task estimated >2000 tokens - Offload to save main session

2. How to Spawn Bailian Subagent#

Use these parameters when spawning:

yaml

model: bailian/glm-5
runtime: subagent

Critical: AK/SK Security#

NEVER hardcode credentials in task text. Always read from environment variables:

• ALICLOUD_ACCESS_KEY_ID
• ALICLOUD_ACCESS_KEY_SECRET

Spawn Task Template#

text

你是資料工程 subagent。

AK/SK 從環境變量讀取：
- os.environ['ALICLOUD_ACCESS_KEY_ID']
- os.environ['ALICLOUD_ACCESS_KEY_SECRET']

任務：[具體任務描述]

3. agent_memory Table#

Long-term memory table on MaxCompute:

PropertyValueProjectsamuelhsinEndpointhttp://service.cn-hangzhou.maxcompute.aliyun.com/apiTableagent_memoryLifecycle3650 days

Schema#

sql

category STRING,
title STRING,
summary STRING,
tags STRING,
created_at STRING
PARTITIONED BY (dt STRING)

Read Memory (PyODPS)#

python

import os
import odps

o = odps.ODPS(
    access_id=os.environ['ALICLOUD_ACCESS_KEY_ID'],
    secret_access_key=os.environ['ALICLOUD_ACCESS_KEY_SECRET'],
    project='samuelhsin',
    endpoint='http://service.cn-hangzhou.maxcompute.aliyun.com/api'
)

# 查詢今日記憶
sql = "SELECT dt, category, title, summary, tags, created_at FROM agent_memory WHERE dt='2026-03-18' ORDER BY category"
with o.execute_sql(sql).open_reader() as reader:
    for row in reader:
        print(row)

Write Memory#

python

# INSERT 單筆
sql = """
INSERT INTO agent_memory PARTITION (dt='2026-03-18')
(category, title, summary, tags, created_at)
VALUES ('config', 'my title', 'summary text', 'tag1,tag2', '2026-03-18T18:00:00+08:00')
"""
o.execute_sql(sql)

Important Notes#

• Prefer PyODPS direct connection over DataWorks API (avoids rate limiting)
• Install: pip install pyodps

4. References#

For advanced patterns and detailed examples, see:

• references/maxcompute-patterns.md - Installation, batch operations, DataWorks API backup