> Layer 5: AI Organization Behavior — AI 开始"记人"
将 AI Agent 从"无状态工具"升级为"有记忆的 AI 商务经理"。
| 维度 | 可选值 | 说明 |
|---|---|---|
| ------ | -------- | ------ |
communication_style | soft / warm / aggressive / formal | 沟通风格 |
reply_speed | fast / medium / slow / dead | 回复速度 |
risk_history | fraud / payment_delay / no_issues | 风险历史 |
negotiation_habit | price_pressure / bonus_hunter / easy_cooperation | 谈判习惯 |
category_preference | finance / gaming / utility | 偏好品类 |
timezone | BRT / EST / CST / ... | 时区 |
emotion_style | optimistic / pessimistic / dramatic | 情绪风格 |
contact_reliability | always_online / intermittent / offline | 联系可靠性 |
call_preference | voice_call / sms_only / async_only | 通话偏好 |
budget_cooperation | high / medium / low | 预算配合度 |
{
"partner_id": "partner_001",
"name": "Hertzmobi",
"region": "🇧🇷 巴西",
"memory": {
"communication_style": "warm",
"reply_speed": "fast",
"risk_history": "no_issues",
"negotiation_habit": "price_pressure",
"category_preference": "finance",
"timezone": "BRT",
"emotion_style": "optimistic",
"contact_reliability": "always_online",
"call_preference": "voice_call",
"budget_cooperation": "high"
},
"last_interaction": "2026-05-15T10:00:00Z",
"last_updated": "2026-05-15T10:30:00Z",
"confidence_score": 0.85
}
from partner_memory import get_partner_memory
# 查询 Partner 记忆
memory = get_partner_memory("partner_001")
print(memory["memory"]["communication_style"]) # 输出: "warm"
from partner_memory import get_communication_suggestion
# 基于记忆生成沟通建议
suggestion = get_communication_suggestion(
partner_id="partner_001",
context="follow_up" # follow_up | negotiation | complaint | regular
)
print(suggestion)
# 输出: {"channel": "voice_call", "wording": "建议电话沟通，避免纯文字"}
from partner_memory import update_partner_memory
# 更新 Partner 记忆
updates = {
"reply_speed": "medium", # 最近回复变慢了
"emotion_style": "pessimistic" # 最近情绪偏悲观
}
updated = update_partner_memory("partner_001", updates)
# 在生成跨文化沟通内容前，先读取 Partner 记忆
memory = get_partner_memory("partner_001")
# 根据记忆调整文化适配策略
if memory["memory"]["call_preference"] == "voice_call":
context = "建议电话沟通而非文字"
# Partner Memory 是 Relationship Health Score 的数据来源
# Health Score 会自动读取 Partner Memory 进行评分
| 触发条件 | 更新逻辑 |
|---|---|
| ---------- | --------- |
| 新 Partner 首次交互 | 初始化记忆，confidence = 0.3 |
| 常规交互完成 | 更新相关维度，confidence += 0.1 |
| 重要事件（付款/违约） | 立即更新 + confidence = 1.0 |
| 超过 30 天无交互 | confidence -= 0.2 |
| 项目 | 说明 |
|---|---|
| ------ | ------ |
| 存储格式 | 本地 JSON 文件 |
| 存储位置 | data/partners/{partner_id}.json |
| 数据库 | 无需外部数据库 |
| Python 版本 | 3.9+ |
| 依赖 | json, os, datetime |
$ python partner_memory.py --action query --partner_id partner_001
{
"partner_id": "partner_001",
"name": "Hertzmobi",
"region": "🇧🇷 巴西",
"memory": {...},
"confidence_score": 0.85,
"last_updated": "2026-05-15T10:30:00Z"
}
$ python partner_memory.py --action update --partner_id partner_001 \
--updates '{"reply_speed": "medium", "emotion_style": "pessimistic"}'
✅ Partner memory updated successfully
📊 Confidence score: 0.85 → 0.90
Skill 版本: v1.0.0
新增于 Hackathon 2026
共 1 个版本