家居大模型联调，大模型生成智能待办

src/main/resources/prompts/audio_text_analysis_furniture_system.txt

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+你是一个专业的家居销售顾问助手，需要从录音文本中抽取结构化信息并输出JSON。必须严格按照要求输出JSON，不能包含额外文字。

src/main/resources/prompts/audio_text_analysis_furniture_user.txt

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+请阅读以下录音文本，从中提取客户信息并生成 JSON。必须覆盖所有字段，缺失信息请基于语境合理推断或标注"暂无信息"。
+
+字段要求：
+1. customer_type：客户类型，仅可填「新房装修」「二次翻修」「补充家居」。
+2. family_structure：家庭结构，描述家庭几口人、几个孩子、几个老人，重点反应家庭成员。
+3. intention_products：意向产品清单，比如：床、柜子、沙发等，仅限家居，不能扩展到其它产品，用顿号或逗号分隔。
+4. summary：一句话总结，应该简洁明了地概括客户的需求和关键信息，重点关注客户预算（如果未提及，默认预算3万），关注的还有产品信息等关键信息。
+5. decoration_style：装修风格，总结偏好的装修/家居风格，风格类型，并推测主人相关信息。
+6. sofa：沙发需求或配置说明，大小、风格、数量、种类等相关信息。
+7. tea_table：茶几/茶桌需求或配置，材质、风格。
+8. dining_table：餐桌椅需求或配置。
+9. study_desk：学习桌/书桌需求。
+10. tv_cabinet：电视柜需求说明。
+11. cabinet：橱柜或厨房柜体说明。
+12. wine_cabinet：酒柜需求说明。
+13. master_bedroom_cabinet：主卧衣柜/储物柜配置。
+14. secondary_bedroom_cabinet：次卧衣柜/储物柜配置。
+15. shoe_cabinet：鞋柜需求或配置。
+16. bed_and_mattress：床及床垫配置。
+17.todo_item: 待办事项，通过分析对话内容，把所有待办的事， 都放到这个字段属性里 。
+
+重要：每个产品维度（sofa、tea_table、dining_table、study_desk、tv_cabinet、cabinet、wine_cabinet、master_bedroom_cabinet、secondary_bedroom_cabinet、shoe_cabinet、bed_and_mattress）必须是一个JSON对象，包含以下10个维度：
+1. preferenceStyleAndColor：偏好风格与颜色
+2. materialPreference：材质偏好
+3. customerFocusAreas：客户重点关注
+4. priceSensitivity：价格敏感度
+5. activityParticipation：活动参与度
+6. customerConcerns：客户疑虑点
+7. deliveryService：交付服务
+8. competitorFeedback：竞品反馈
+9. deliveryCycle：交付周期
+10. productAppearance：产品颜值
+
+严格输出 JSON 格式，示例：
+{
+  "customer_type": "二次翻修",
+  "family_structure": "三口之家，一个小男孩",
+  "intention_products": "床、沙发、酒柜、厨房柜子",
+  "summary": "客户是二次翻修，对价格比较敏感，预算在10万以内",
+  "decoration_style": "总结偏好的装修/家居风格，风格类型，并推测主人相关信息",
+  "sofa": {
+    "preferenceStyleAndColor": "偏好风格与颜色",
+    "materialPreference": "材质偏好",
+    "customerFocusAreas": "客户重点关注",
+    "priceSensitivity": "价格敏感度",
+    "activityParticipation": "活动参与度",
+    "customerConcerns": "客户疑虑点",
+    "deliveryService": "交付服务",
+    "competitorFeedback": "竞品反馈",
+    "deliveryCycle": "交付周期",
+    "productAppearance": "产品颜值"
+  },
+  "tea_table": {
+    "preferenceStyleAndColor": "偏好风格与颜色",
+    "materialPreference": "材质偏好",
+    "customerFocusAreas": "客户重点关注",
+    "priceSensitivity": "价格敏感度",
+    "activityParticipation": "活动参与度",
+    "customerConcerns": "客户疑虑点",
+    "deliveryService": "交付服务",
+    "competitorFeedback": "竞品反馈",
+    "deliveryCycle": "交付周期",
+    "productAppearance": "产品颜值"
+  },
+  "dining_table": {
+    "preferenceStyleAndColor": "偏好风格与颜色",
+    "materialPreference": "材质偏好",
+    "customerFocusAreas": "客户重点关注",
+    "priceSensitivity": "价格敏感度",
+    "activityParticipation": "活动参与度",
+    "customerConcerns": "客户疑虑点",
+    "deliveryService": "交付服务",
+    "competitorFeedback": "竞品反馈",
+    "deliveryCycle": "交付周期",
+    "productAppearance": "产品颜值"
+  },
+  "study_desk": {
+    "preferenceStyleAndColor": "偏好风格与颜色",
+    "materialPreference": "材质偏好",
+    "customerFocusAreas": "客户重点关注",
+    "priceSensitivity": "价格敏感度",
+    "activityParticipation": "活动参与度",
+    "customerConcerns": "客户疑虑点",
+    "deliveryService": "交付服务",
+    "competitorFeedback": "竞品反馈",
+    "deliveryCycle": "交付周期",
+    "productAppearance": "产品颜值"
+  },
+  "tv_cabinet": {
+    "preferenceStyleAndColor": "偏好风格与颜色",
+    "materialPreference": "材质偏好",
+    "customerFocusAreas": "客户重点关注",
+    "priceSensitivity": "价格敏感度",
+    "activityParticipation": "活动参与度",
+    "customerConcerns": "客户疑虑点",
+    "deliveryService": "交付服务",
+    "competitorFeedback": "竞品反馈",
+    "deliveryCycle": "交付周期",
+    "productAppearance": "产品颜值"
+  },
+  "cabinet": {
+    "preferenceStyleAndColor": "偏好风格与颜色",
+    "materialPreference": "材质偏好",
+    "customerFocusAreas": "客户重点关注",
+    "priceSensitivity": "价格敏感度",
+    "activityParticipation": "活动参与度",
+    "customerConcerns": "客户疑虑点",
+    "deliveryService": "交付服务",
+    "competitorFeedback": "竞品反馈",
+    "deliveryCycle": "交付周期",
+    "productAppearance": "产品颜值"
+  },
+  "wine_cabinet": {
+    "preferenceStyleAndColor": "偏好风格与颜色",
+    "materialPreference": "材质偏好",
+    "customerFocusAreas": "客户重点关注",
+    "priceSensitivity": "价格敏感度",
+    "activityParticipation": "活动参与度",
+    "customerConcerns": "客户疑虑点",
+    "deliveryService": "交付服务",
+    "competitorFeedback": "竞品反馈",
+    "deliveryCycle": "交付周期",
+    "productAppearance": "产品颜值"
+  },
+  "master_bedroom_cabinet": {
+    "preferenceStyleAndColor": "偏好风格与颜色",
+    "materialPreference": "材质偏好",
+    "customerFocusAreas": "客户重点关注",
+    "priceSensitivity": "价格敏感度",
+    "activityParticipation": "活动参与度",
+    "customerConcerns": "客户疑虑点",
+    "deliveryService": "交付服务",
+    "competitorFeedback": "竞品反馈",
+    "deliveryCycle": "交付周期",
+    "productAppearance": "产品颜值"
+  },
+  "secondary_bedroom_cabinet": {
+    "preferenceStyleAndColor": "偏好风格与颜色",
+    "materialPreference": "材质偏好",
+    "customerFocusAreas": "客户重点关注",
+    "priceSensitivity": "价格敏感度",
+    "activityParticipation": "活动参与度",
+    "customerConcerns": "客户疑虑点",
+    "deliveryService": "交付服务",
+    "competitorFeedback": "竞品反馈",
+    "deliveryCycle": "交付周期",
+    "productAppearance": "产品颜值"
+  },
+  "shoe_cabinet": {
+    "preferenceStyleAndColor": "偏好风格与颜色",
+    "materialPreference": "材质偏好",
+    "customerFocusAreas": "客户重点关注",
+    "priceSensitivity": "价格敏感度",
+    "activityParticipation": "活动参与度",
+    "customerConcerns": "客户疑虑点",
+    "deliveryService": "交付服务",
+    "competitorFeedback": "竞品反馈",
+    "deliveryCycle": "交付周期",
+    "productAppearance": "产品颜值"
+  },
+  "bed_and_mattress": {
+    "preferenceStyleAndColor": "偏好风格与颜色",
+    "materialPreference": "材质偏好",
+    "customerFocusAreas": "客户重点关注",
+    "priceSensitivity": "价格敏感度",
+    "activityParticipation": "活动参与度",
+    "customerConcerns": "客户疑虑点",
+    "deliveryService": "交付服务",
+    "competitorFeedback": "竞品反馈",
+    "deliveryCycle": "交付周期",
+    "productAppearance": "产品颜值"
+  },
+  "todo_item":[{
+    "todo_detail": "待办事项详细说明" ,
+    "todo_title":"待办概要"
+  },{
+  "todo_detail": "待办事项详细说明" ,
+      "todo_title":"待办概要"
+  }]
+}
+
+注意：
+1. 必须严格按照JSON格式输出，不要添加任何额外文字或markdown代码块标记。
+2. 每个产品维度必须是一个完整的JSON对象，包含上述10个维度。
+3. 如果录音文本中未提及某个产品，该产品的JSON对象中所有维度应填写"暂无信息"或基于语境合理推断。
+4. 所有字段值必须基于录音文本内容，合理推断，不能随意编造。
+
+录音文本：
+{RECORDING_TEXT}