116 lines
2.4 KiB
Markdown
116 lines
2.4 KiB
Markdown
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## 继续 - 意图规则使用指南补充内容
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### 4.2 创建意图规则 - 响应示例
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```json
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{
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"id": "550e8400-e29b-41d4-a716-446655440000",
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"name": "转人工意图",
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"keywords": ["人工", "客服", "投诉", "找人"],
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"patterns": ["转.*人工", "找.*客服", "我要.*投诉"],
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"priority": 200,
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"response_type": "transfer",
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"target_kb_ids": [],
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"flow_id": null,
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"fixed_reply": null,
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"transfer_message": "正在为您转接人工客服，请稍候...",
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"is_enabled": true,
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"hit_count": 0,
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"created_at": "2026-02-27T12:00:00Z",
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"updated_at": "2026-02-27T12:00:00Z"
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}
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```
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### 4.3 查询意图规则列表
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**接口**: `GET /admin/intent-rules`
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**查询参数**:
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- `response_type` (可选): 按响应类型筛选
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- `is_enabled` (可选): 按启用状态筛选
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**请求示例**:
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```bash
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curl -X GET http://ai-service:8080/admin/intent-rules \
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-H "X-API-Key: your_api_key" \
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-H "X-Tenant-Id: szmp@ash@2026"
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```
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### 4.4 更新意图规则
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**接口**: `PUT /admin/intent-rules/{rule_id}`
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### 4.5 删除意图规则
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**接口**: `DELETE /admin/intent-rules/{rule_id}`
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---
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## 5. 实际使用场景
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### 5.1 常见问题快速回复
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使用 fixed 类型直接返回预设回复，跳过 LLM 调用，响应速度快且成本低。
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### 5.2 专业领域定向检索
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使用 rag 类型将问题路由到特定知识库，提高检索精准度。
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### 5.3 复杂流程引导
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使用 flow 类型启动多轮对话流程，自动收集用户信息。
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### 5.4 敏感问题转人工
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使用 transfer 类型直接转接人工客服。
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---
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## 6. 缓存机制
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- **缓存位置**: 内存缓存
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- **缓存键**: tenant_id
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- **TTL**: 60 秒
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- **失效时机**: 创建/更新/删除规则时立即清除
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---
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## 7. 最佳实践
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### 7.1 关键词设计
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- 长度: 2-6 个字
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- 使用完整词组
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- 避免太短或太长
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### 7.2 优先级设计
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- 200+: 紧急/敏感问题
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- 100-199: 重要业务流程
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- 50-99: 常规咨询
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- 0-49: 通用兜底规则
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---
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## 8. 故障排查
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### 8.1 规则未生效
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检查: 规则是否启用、缓存是否过期、优先级是否正确
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### 8.2 误匹配问题
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优化关键词和正则表达式，调整优先级
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---
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## 9. 总结
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意图规则提供智能路由功能，支持四种响应类型，具有高性能缓存和租户隔离特性。
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---
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**文档版本**: v1.0
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**生成时间**: 2026-02-27
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**维护状态**: ✅ 活跃维护
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