Simon
449c6d4875
## H5 员工端 v4 (2026-07-13 00:48 已部署)
- 人工按钮三态文案统一为"人工坐席"
- 按钮位置移至发送键和语音按钮上方(垂直堆叠)
- 点按钮直接调 store.shakeAgent()，删除 CallAgentModal 弹窗动画
- 截图快捷键提示改为"截图->粘贴：Alt+Shift+A-Ctrl+V ---> Ctrl+V"
- 移动端隐藏截图提示(CSS 媒体查询)
- AI转人工提示改为"已为您呼叫人工坐席，请稍等!"
- 坐席接入提示改为"坐席正在查看您的信息，请等待处理回复！"
- 删除"摇铃呼叫坐席"入口和文案
- 删除孤儿组件 MessageList.vue + shake 动画 CSS
## H5 员工端 v5 (2026-07-13 02:08 已部署)
- RightPanel v2.1：删除"软件安装"和"资源权限"标签页
- 移除标签栏，智能推荐(DynamicRecommend)直接展示
- 删除 SoftwareDownloads/ApprovalLinks 引用和相关 CSS
## AI 对话链路全栈改造 Phase 1-6 (已部署)
- Phase 1: Dify JSON输出 + 后端blocking解析 + 双WS推送 + 错误降级
- Phase 2: 关键词收窄(~25强意图词) + 两级分类Prompt + 删除前端checkApprovalIntent
- Phase 3: WS扩展(ai_thinking+dynamic_recommend) + ai_structured气泡 + RightPanel v2 + 选项回传
- Phase 4: VisionService接入 + 图片消息融合(5秒窗口) + 降级策略
- Phase 5: 坐席端ai_thinking指示器 + ai_structured/byod_card渲染 + handleNewMessage修复
- Phase 6: diagnosis_stage(6值) + response_time_ms计时 + 慢响应告警(>10s)
## 坐席端 v5 (2026-07-13 01:38 已部署)
- ai_structured/byod_card 只读渲染
- AI思考指示器 UI
- handleNewMessage 透传 msg_type/extra_data 修复
- 布局优化v2.0: QuickReplyBar L1+L2悬浮 + ReplyBox左右分区 + 右栏260/560px切换
- 键盘快捷键v2.3: 纯数字路由 + ESC分层撤销 + Shift+Space用event.code
## 上下文感知智能诊断闭环 (2026-07-12 已部署)
- 三层诊断(API→Script→AI) + 三段排队(VIP→info_locked→not locked)
- 答题插队 + 五场景关闭
- 迁移052(6表+6列) + queue_service + quiz_service + closing_service
- H5前端: QueueWaiting + RightPanel双Tab + InputBar三态 + ResolveConfirmCard
- 坐席前端: pending_close结单流程 + 信息锁定(Dify步骤完成+有效回答率≥70%)
## 知识库迭代3 (2026-07-12 已部署)
- 分诊交互(H5+坐席+Dify独立应用)
- 拓扑预览(ECharts只读)
- 代答排除(4种匹配器: keyword/regex/intent/category)
- 迁移051 + 44文件43测试通过
## 后端变更
- 6个Python文件改造(h5_ai_task.py/h5.py/ai_service.py/closing_service.py等)
- funny_phrase_service.py: shake/connected/keyword 默认文案更新
- session_service.py: 企微消息文案同步
- 新增: queue.py/quiz.py/triage.py/exclusion_rules.py 等API端点
- 新增: diagnostic.py/quiz.py/triage_session.py 等模型
- 新增: closing_service/queue_service/quiz_service/triage_service 等服务
## 文档更新
- CHANGELOG.md: 新增 [未发布] 区全部变更记录
- 项目管理主文档 v2.5: 新增v0.7.3版本 + 已完成看板 + 最近搞定
- 版本记录: 新增v0.7.3条目
- AI对话链路实施计划: Phase 1-6 全部标记✅已实施
- 新增架构图/时序图/类图(mermaid)
## 部署路径修正
- 服务器项目根路径: /opt/wecom-it-desk/
- 所有前端dist均为ro bind mount，只能在宿主机源路径操作
- 服务器nginx /h5/ 是静态文件服务(非proxy_pass)
- elFinder上传二进制不可靠(MD5不匹配)，改用base64分块上传
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- 你是一名专业的IT支持分析助理，专门处理企业内部同事的IT咨询。
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- **核心使命**：为同事提供准确、清晰且可立即执行的解决方案。
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# 处理流程与规则
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## 第一步：问答判断
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- 判断知识库内容能否回复同事咨询问题。
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- 此判断是后续流程的决策基础。
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## 第二步：分支处理与回复生成 (整合结束语)
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###情况一：知识库内容能够回复同事咨询问题
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- **同时**，判断图文信息与同事咨询问题是否相关。
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- **提取相关图文信息中的链接**，如”“提取其中的”https://yw-dify.dc.servyou-it.com“，进行全局规则中的**链接标准化**。
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- **生成回复**：基于知识库内容和相关的图文信息，生成最终回复。
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###情况二：知识库内容不能够回复同事咨询问题
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- **回复固定语句**："抱歉，您的问题可能不在服务业务范围内，请尝试调整其他问法。"。
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- **重要**：在上述固定语句后，必须同样附加结束语。
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#全局输出格式要求（仅当知识库内容能够回复同事咨询问题时生效）
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- **结构化格式**，回复必须具有清晰的视觉层次，严格使用以下格式：
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-- 使用标题（如 ### 问题描述、### 解决方案）划分部分。
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-- 使用编号列表（1. 2. 3...）表示有顺序的操作步骤。
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-- 使用项目符号列表（-）表示并列的要点或说明。
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-- 关键信息（如服务器地址、代码关键字）使用行内代码标记（如 `hostname`）突出。
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#全局内容质量要求
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- **简洁精准**：确保回答直接精准有效，避免冗长，切勿过度赘述和扩展回答。
|
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|
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- **专业友好**：保持专业、耐心且友好的支持态度，理解同事的急切心情。
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|
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- **清晰准确**：确保技术术语解释清楚，步骤无歧义，信息准确无误。
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|
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- **回复有效性**：确保**问题描述**的内容，在**解决方案**是准确的回复并给出了正确的执行方案。
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#全局规则（所有分支适用）【要求】
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- **版权合规**：如果知识库内容和同事咨询问题涉及破解、激活等风险内容，必须附加回复相关风险内容的免责声明。
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|
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- **链接标准化**：所有链接必须转换为markdown格式，不得出现原始链接，如”https://oa.servyou-it.com/，输出为[xxx](https://oa.servyou-it.com/)“，其中xxx根据上下文定义。
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- **结束语**：必须在回复末尾附加固定提示："您可选择回复"IT、人力、物业、报销、党工、安全"关键词，通过回复的链接进入人工支持。(人工服务时间:工作日9:00~18:00)"。
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- **文字要求**：在**问题描述**和**解决方案**中，不能包含文字"知识库"和"员工”。
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|
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- **文字替换**：在**问题描述**和**解决方案**中，将"同事"文字改为称呼"您"。
|
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|
||
- **回复字数**：回复字数不超过1000字。
|
||
|
||
- **完全忠于知识库内容回复**：在**问题描述**和**解决方案**中，不允许出现知识库外的拓展思考内容，包括dify的链接地址等'
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- id: 034760a9-98ca-4e3a-a86d-269ca66a9e69
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text: '同事咨询问题：{{#conversation.servyou_query#}}
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知识库内容：{{#17676676167470.result#}}
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图文信息：{{#context#}}'
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selected: false
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title: 本地大模型分析
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type: llm
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answer: 请点击“[报销服务咨询](https://work.weixin.qq.com/nl/innerkfid/ikfCtcYBwAAG4HC1zWJtPuALPKl2X6jcw)”链接进入人工服务窗口，简单描述您的问题，同事将尽快回复您的问题。【注：请确保企微在最新版本，否则无法点击链接。】
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answer: 请点击“[党工服务咨询](https://work.weixin.qq.com/nl/innerkfid/ikfCtcYBwAANk3yPOPAmkD6nLRHjbv-Zg)”链接进入人工服务窗口，简单描述您的问题，同事将尽快回复您的问题。【注：请确保企微在最新版本，否则无法点击链接。】
|
||
selected: false
|
||
title: 党工坐席人工链接回复
|
||
type: answer
|
||
variables: []
|
||
height: 196
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||
id: '1765766096673'
|
||
position:
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|
||
sourcePosition: right
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||
targetPosition: left
|
||
type: custom
|
||
width: 242
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||
- data:
|
||
answer: 请点击“[安全服务咨询](https://work.weixin.qq.com/nl/innerkfid/ikfCtcYBwAAtkP_ODMcv53bGE5x5M9YYw)”链接进入人工服务窗口，简单描述您的问题，同事将尽快回复您的问题。【注：请确保企微在最新版本，否则无法点击链接。】
|
||
selected: false
|
||
title: 安全坐席人工链接回复
|
||
type: answer
|
||
variables: []
|
||
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id: '1765766112941'
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||
x: 4421.398579391068
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||
targetPosition: left
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||
type: custom
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width: 242
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- data:
|
||
code: "def main(query: str):\n extracted_content = \"\"\n query = query.replace(\"\
|
||
\\n\",\"\")\n query = query.replace(\"\\\"\",\"\")\n query = query.strip()\n\
|
||
\ if \"Here is my question\" in query:\n before, separator, after\
|
||
\ = query.partition(\"Here is my question:\")\n if separator:\n \
|
||
\ if after:\n extracted_content = after.strip()\n\
|
||
\ else:\n after = \"什么问题？\"\n extracted_content\
|
||
\ = after.strip()\n else:\n extracted_content = query.strip()\n\
|
||
\ return {\n \"result\": extracted_content\n }\n"
|
||
code_language: python3
|
||
outputs:
|
||
result:
|
||
children: null
|
||
type: string
|
||
selected: false
|
||
title: 代码执行
|
||
type: code
|
||
variables:
|
||
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|
||
- sys
|
||
- query
|
||
value_type: string
|
||
variable: query
|
||
height: 52
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||
id: '1765782485068'
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position:
|
||
x: -3867.754148404409
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sourcePosition: right
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targetPosition: left
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||
type: custom
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||
width: 242
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||
- data:
|
||
context:
|
||
enabled: true
|
||
variable_selector:
|
||
- conversation
|
||
- servyou_query
|
||
model:
|
||
completion_params:
|
||
temperature: 0.7
|
||
mode: chat
|
||
name: Qwen3-30B-A3B-Instruct
|
||
provider: yangyaofei/vllm/vllm
|
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prompt_template:
|
||
- id: df73d0b1-fb70-4b31-b446-94bfc168d44c
|
||
role: system
|
||
text: '##角色
|
||
|
||
- 你是一个严谨的文档相关性分析专家，擅长识别文本之间的实质意图关联。
|
||
|
||
|
||
##任务
|
||
|
||
- 对比分析以下两段内容：
|
||
|
||
-- 当前查询内容
|
||
|
||
-- 历史查询内容
|
||
|
||
- 判断两者是否围绕同一个具体问题或需求展开，且意图一致、信息可直接对应。
|
||
|
||
|
||
#规则
|
||
|
||
- 仔细理解每一段内容的核心意图和关键信息点。
|
||
|
||
- 按以下条件判断是否为“相关”：
|
||
|
||
-- 主题一致，且针对的是同一具体问题；
|
||
|
||
-- 意图重合；
|
||
|
||
-- 信息可直接呼应或衔接，而非仅仅话题类似。
|
||
|
||
- 若内容虽有话题重叠，但意图不同、问题指向不同，或信息无法直接对应，则判断为“不相关”。
|
||
|
||
- 若历史查询内容为空，则判断为“不相关”。
|
||
|
||
|
||
#输出时仅允许返回以下两种结果之一，不要添加任何解释或标点：
|
||
|
||
- 相关
|
||
|
||
- 不相关'
|
||
- id: f694ec6c-01b7-423a-95ec-c91a21fabe3f
|
||
role: user
|
||
text: '当前查询内容：{{#context#}}
|
||
|
||
历史查询内容：{{#conversation.memory_query#}}'
|
||
selected: false
|
||
title: 相关性判断1
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||
type: llm
|
||
vision:
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||
enabled: false
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height: 88
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position:
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||
positionAbsolute:
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||
x: 7704.55937556773
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y: -266.3929337287146
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||
selected: false
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||
targetPosition: left
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||
type: custom
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width: 242
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||
- data:
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||
context:
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||
enabled: true
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variable_selector:
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- conversation
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||
- servyou_query
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model:
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completion_params:
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temperature: 0.7
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mode: chat
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name: Qwen3-30B-A3B-Instruct
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||
provider: yangyaofei/vllm/vllm
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prompt_template:
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||
- id: 87969cdd-a098-488b-ba64-29238794b75d
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role: system
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text: '##角色
|
||
|
||
- 你是一个严谨的文档相关性分析专家，擅长识别文本之间的实质意图关联。
|
||
|
||
|
||
##任务
|
||
|
||
- 对比分析以下两段内容：
|
||
|
||
-- 当前查询内容
|
||
|
||
-- 历史查询内容
|
||
|
||
- 判断两者是否围绕同一个具体问题或需求展开，且意图一致、信息可直接对应。
|
||
|
||
|
||
#规则
|
||
|
||
- 仔细理解每一段内容的核心意图和关键信息点。
|
||
|
||
- 按以下条件判断是否为“相关”：
|
||
|
||
-- 主题一致，且针对的是同一具体问题；
|
||
|
||
-- 意图重合；
|
||
|
||
-- 信息可直接呼应或衔接，而非仅仅话题类似。
|
||
|
||
- 若内容虽有话题重叠，但意图不同、问题指向不同，或信息无法直接对应，则判断为“不相关”。
|
||
|
||
- 若历史查询内容为空，则判断为“不相关”。
|
||
|
||
|
||
|
||
#输出时仅允许返回以下两种结果之一，不要添加任何解释或标点：
|
||
|
||
- 相关
|
||
|
||
- 不相关'
|
||
- id: 82dc391b-0a47-4a1d-85b7-765f54602748
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||
role: user
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||
text: '当前查询内容：{{#context#}}
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||
|
||
历史查询内容：{{#conversation.memory_query#}}'
|
||
selected: false
|
||
title: 相关性判断2
|
||
type: llm
|
||
vision:
|
||
enabled: false
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||
height: 88
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||
id: '1765785673343'
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position:
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||
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selected: false
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sourcePosition: right
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targetPosition: left
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type: custom
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||
width: 242
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- data:
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||
authorization:
|
||
config: null
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||
type: no-auth
|
||
body:
|
||
data:
|
||
- id: key-value-263
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||
key: ''
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||
type: text
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||
value: "{\n \"model\": \"model\",\n \"messages\": [\n {\n \"\
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||
role\": \"user\",\n \"content\": \"{{#conversation.servyou_query#}}\"\
|
||
\n }\n ],\n \"stream\": true,\n \"encoding\": \"utf-8\"\n}"
|
||
type: json
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||
headers: 'Content-Type:application/json; charset="utf-8"
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||
|
||
Authorization:Bearer ragflow-ZiYmIzMjcwYjk0ZjExZjBhODgzMDI0Mm'
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||
method: post
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||
params: ''
|
||
retry_config:
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||
max_retries: 3
|
||
retry_enabled: true
|
||
retry_interval: 100
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||
selected: false
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ssl_verify: true
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||
timeout:
|
||
max_connect_timeout: 0
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||
max_read_timeout: 0
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max_write_timeout: 0
|
||
title: ragflow知识库 (1)
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||
type: http-request
|
||
url: http://10.80.0.85:9380/api/v1/agents_openai/d4051f80dfdc11f0993d0242ac120006/chat/completions
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||
variables: []
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sourcePosition: right
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targetPosition: left
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||
type: custom
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width: 242
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||
- data:
|
||
cases:
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||
- case_id: 'true'
|
||
conditions:
|
||
- comparison_operator: is
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||
id: f483964e-e4ed-4c6e-8ae1-9d2ae1b42e94
|
||
value: 相关
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||
varType: string
|
||
variable_selector:
|
||
- '1765785630566'
|
||
- text
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||
id: 'true'
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||
logical_operator: or
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||
selected: false
|
||
title: 是否相关1
|
||
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|
||
height: 124
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||
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|
||
position:
|
||
x: 8195.329669667188
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||
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||
positionAbsolute:
|
||
x: 8195.329669667188
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||
y: -266.3929337287146
|
||
selected: false
|
||
sourcePosition: right
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||
targetPosition: left
|
||
type: custom
|
||
width: 242
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||
- data:
|
||
cases:
|
||
- case_id: 'true'
|
||
conditions:
|
||
- comparison_operator: is
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||
id: f6fd9947-db67-4463-8e25-858e223cc137
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value: 相关
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||
varType: string
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||
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||
- '1765785673343'
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||
- text
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||
id: 'true'
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||
logical_operator: and
|
||
selected: false
|
||
title: 是否相关2
|
||
type: if-else
|
||
height: 124
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||
id: '1765786290221'
|
||
position:
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||
x: 8195.329669667188
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y: 1135.8772265369253
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||
positionAbsolute:
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||
x: 8195.329669667188
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||
y: 1135.8772265369253
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||
selected: false
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||
sourcePosition: right
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||
targetPosition: left
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||
type: custom
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||
width: 242
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||
- data:
|
||
cases:
|
||
- case_id: 'true'
|
||
conditions:
|
||
- comparison_operator: contains
|
||
id: 7f0f5251-7f1d-46f1-bff7-a4a4c215dbc5
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||
value: 您的问题可能不在服务业务范围内
|
||
varType: string
|
||
variable_selector:
|
||
- '17657860354750'
|
||
- body
|
||
id: 'true'
|
||
logical_operator: or
|
||
selected: false
|
||
title: 知识库是否完全无命中 (1)
|
||
type: if-else
|
||
height: 124
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||
id: '17657864016400'
|
||
position:
|
||
x: 10219.434585373543
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||
y: 1199.837653129122
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||
positionAbsolute:
|
||
x: 10219.434585373543
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||
y: 1199.837653129122
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||
selected: false
|
||
sourcePosition: right
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||
targetPosition: left
|
||
type: custom
|
||
width: 242
|
||
- data:
|
||
dataset_ids:
|
||
- 1aM5JfrtmBYtghXflTeQDOTiM0MaufWVaEpunkstrQr2DWCad1pyfImMvY9EDXJh
|
||
- SouBCst5gmvLf9zgdmQZq3fT46jOWdR4r136JeI7ieO9n5FJVVzKCCd0aaLkQ6UK
|
||
multiple_retrieval_config:
|
||
reranking_enable: true
|
||
reranking_mode: reranking_model
|
||
reranking_model:
|
||
model: bge-rerank
|
||
provider: langgenius/openai_api_compatible/openai_api_compatible
|
||
top_k: 4
|
||
query_variable_selector:
|
||
- conversation
|
||
- servyou_query
|
||
retrieval_mode: multiple
|
||
selected: false
|
||
title: 知识库图片检索 (1)
|
||
type: knowledge-retrieval
|
||
height: 118
|
||
id: '17657866222300'
|
||
position:
|
||
x: 11335.415558234963
|
||
y: 2023.661199565415
|
||
positionAbsolute:
|
||
x: 11335.415558234963
|
||
y: 2023.661199565415
|
||
selected: false
|
||
sourcePosition: right
|
||
targetPosition: left
|
||
type: custom
|
||
width: 242
|
||
- data:
|
||
context:
|
||
enabled: true
|
||
variable_selector:
|
||
- '17657866222300'
|
||
- result
|
||
memory:
|
||
query_prompt_template: '{{#sys.query#}}【{{#conversation.servyou_query#}}】
|
||
|
||
|
||
{{#sys.files#}}'
|
||
role_prefix:
|
||
assistant: ''
|
||
user: ''
|
||
window:
|
||
enabled: true
|
||
size: 10
|
||
model:
|
||
completion_params:
|
||
temperature: 0.7
|
||
mode: chat
|
||
name: Qwen3-30B-A3B-Instruct
|
||
provider: yangyaofei/vllm/vllm
|
||
prompt_template:
|
||
- id: 8fdbc119-5c08-4eb4-9364-40deb1bb4b1f
|
||
role: system
|
||
text: '# 角色与核心任务
|
||
|
||
- 你是一名专业的IT支持分析助理，专门处理企业内部同事的IT咨询。
|
||
|
||
- **核心使命**：为同事提供准确、清晰且可立即执行的解决方案。
|
||
|
||
|
||
# 处理流程与规则
|
||
|
||
|
||
## 第一步：问答判断
|
||
|
||
- 判断知识库内容能否回复同事咨询问题。
|
||
|
||
- 此判断是后续流程的决策基础。
|
||
|
||
|
||
## 第二步：分支处理与回复生成 (整合结束语)
|
||
|
||
|
||
###情况一：知识库内容能够回复同事咨询问题
|
||
|
||
- **同时**，判断图文信息与同事咨询问题是否相关。
|
||
|
||
- **提取相关图文信息中的链接**，如”“提取其中的”https://yw-dify.dc.servyou-it.com“，进行全局规则中的**链接标准化**。
|
||
|
||
- **生成回复**：基于知识库内容和相关的图文信息，生成最终回复。
|
||
|
||
|
||
###情况二：知识库内容不能够回复同事咨询问题
|
||
|
||
- **回复固定语句**："抱歉，您的问题可能不在服务业务范围内，请尝试调整其他问法。"。
|
||
|
||
- **重要**：在上述固定语句后，必须同样附加结束语。
|
||
|
||
|
||
#全局输出格式要求（仅当知识库内容能够回复同事咨询问题时生效）
|
||
|
||
- **结构化格式**，回复必须具有清晰的视觉层次，严格使用以下格式：
|
||
|
||
-- 使用标题（如 ### 问题描述、### 解决方案）划分部分。
|
||
|
||
-- 使用编号列表（1. 2. 3...）表示有顺序的操作步骤。
|
||
|
||
-- 使用项目符号列表（-）表示并列的要点或说明。
|
||
|
||
-- 关键信息（如服务器地址、代码关键字）使用行内代码标记（如 `hostname`）突出。
|
||
|
||
|
||
#全局内容质量要求
|
||
|
||
- **简洁精准**：确保回答直接精准有效，避免冗长，切勿过度赘述和扩展回答。
|
||
|
||
- **专业友好**：保持专业、耐心且友好的支持态度，理解同事的急切心情。
|
||
|
||
- **清晰准确**：确保技术术语解释清楚，步骤无歧义，信息准确无误。
|
||
|
||
- **回复有效性**：确保**问题描述**的内容，在**解决方案**是准确的回复并给出了正确的执行方案。
|
||
|
||
|
||
#全局规则（所有分支适用）【要求】
|
||
|
||
- **版权合规**：如果知识库内容和同事咨询问题涉及破解、激活等风险内容，必须附加回复相关风险内容的免责声明。
|
||
|
||
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|
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\ * **具体的请求或问题点** (例如：无法打印、申请账号、咨询某手册、软件安装)\n * **涉及的对象或背景**\
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\ (例如：网络打印机、新员工入职、财务软件Adobe Premiere)\n2. **智能响应**：\n * 若问题**同时包含\"\
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具体的请求或问题点”和\"涉及的对象或背景”**，则视为已具备关键信息，使用**格式二**直接优化输出。\n * 若问题**极度模糊，缺乏具体的请求或问题点或涉及的对象或背景**（例如：“打印机有问题”、“报错了”），则使用**格式一**引导补充。\n\
|
||
\n# 判断标准与示例\n* **引导补充（格式一）的示例**：\n * “打印机有问题。”（过于模糊，仅有设备类别）\n \
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\ * “手册。”（过于模糊，仅有需求类别）\n* **优化输出（格式二）的示例**：\n * “如何为新同事申请VPN账号？”（**包含**：具体请求“申请VPN账号”\
|
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\ + 背景“为新同事”）\n * “咨询新员工入职IT指引手册。”（**包含**：具体意图“咨询” + 明确对象“新员工入职IT指引手册”）\n\
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\n# 输出格式规则\n## 格式一：需补充信息时（仅当问题确实缺乏核心信息时使用），格式是：\n\"如果上述答案不是您想要的结果，请换一种问法或者补充相关信息。如：\n\
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1.补充信息的提示1\n2.补充信息的提示2\n例如，您可以这样提问：<提供一个完整问题的示例>\"\n\n## 格式二：直接优化并输出（默认优先选择），要求：\n\
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**触发条件**：问题已包含足够的核心信息要素。\n**你的任务**：基于原问题，结合IT支持场景，输出一个**更清晰、更结构化的问题描述**，直接作为优化结果。优化时应聚焦于澄清意图，无需生成解决方案。\n\
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\n**优化原则**：\n1. **精简**：去除口语化词汇，保留核心名词和动词。\n2. **结构化**：将问题背景、对象、现象有机组织成一句或几句连贯的话。\n\
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3. **完整**：不丢失原问题中的任何关键信息。\n\n# 开始任务\n- 请严格根据以上规则处理同事咨询问题。你的回复只能是最终的引导语（格式一）或优化后的问题描述（格式二），无需任何思考过程或额外解释。\n\
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- 仅从**引导语**中提取信息进行补充优化，绝对禁止任何主观拓展与额外思考。\n- ”<提供一个完整问题的示例>\"所给出的内容必须严格从**引导语**中最相关的内容中提取，且必须意图和同事咨询问题意图相同，若都不相关，则直接输出同事咨询问题原内容作为示例输出。"
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- 你是一名专业的IT支持分析助理，专门处理企业内部同事的IT咨询。
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- **核心使命**：为同事提供准确、清晰且可立即执行的解决方案。
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# 处理流程与规则
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## 第一步：问答判断
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- 判断知识库内容能否回复同事咨询问题。
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- 此判断是后续流程的决策基础。
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## 第二步：分支处理与回复生成 (整合结束语)
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###情况一：知识库内容能够回复同事咨询问题
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- **同时**，判断图文信息与同事咨询问题是否相关。
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|
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- **提取相关图文信息中的链接**，如”“提取其中的”https://yw-dify.dc.servyou-it.com“，进行全局规则中的**链接标准化**。
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- **生成回复**：基于知识库内容和相关的图文信息，生成最终回复。
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|
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###情况二：知识库内容不能够回复同事咨询问题
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- **回复固定语句**："抱歉，您的问题可能不在服务业务范围内，请尝试调整其他问法。"。
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|
||
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#全局输出格式要求（仅当知识库内容能够回复同事咨询问题时生效）
|
||
|
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- **结构化格式**，回复必须具有清晰的视觉层次，严格使用以下格式：
|
||
|
||
-- 使用标题（### 解决方案）表示回复。
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|
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-- 使用编号列表（1. 2. 3...）表示有顺序的操作步骤。
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|
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-- 使用项目符号列表（-）表示并列的要点或说明。
|
||
|
||
-- 关键信息（如服务器地址、代码关键字）使用行内代码标记（如 `hostname`）突出。
|
||
|
||
|
||
#全局内容质量要求
|
||
|
||
- **简洁精准**：确保回答直接精准有效，避免冗长，切勿过度赘述和扩展回答。
|
||
|
||
- **专业友好**：保持专业、耐心且友好的支持态度，理解同事的急切心情。
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||
|
||
- **清晰准确**：确保技术术语解释清楚，步骤无歧义，信息准确无误。
|
||
|
||
- **回复有效性**：确保**解决方案**是准确的回复并给出了正确的执行方案。
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||
|
||
|
||
#全局规则（所有分支适用）【要求】
|
||
|
||
- **版权合规**：如果知识库内容和同事咨询问题涉及破解、激活等风险内容，必须附加回复相关风险内容的免责声明。
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|
||
- **链接标准化**：所有链接必须转换为markdown格式，不得出现原始链接，如”https://oa.servyou-it.com/，输出为[xxx](https://oa.servyou-it.com/)“，其中xxx根据上下文定义。
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- **文字要求**：在**解决方案**中，不能包含文字"知识库"和"员工”。
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|
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- **文字替换**：在**解决方案**中，将"同事"文字改为称呼"您"。
|
||
|
||
- **回复字数**：回复字数不超过500字。
|
||
|
||
- **完全忠于知识库内容回复**：在**解决方案**中，不允许出现知识库外的拓展思考内容，包括dify的链接地址等。'
|
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- id: 034760a9-98ca-4e3a-a86d-269ca66a9e69
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role: user
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text: '同事咨询问题：{{#1766994739449.result#}}
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|
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知识库内容：{{#17675939731110.result#}}【附加：{{#17677497085030.result#}}】
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图文信息：{{#context#}}'
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selected: false
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title: 本地大模型分析3
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type: llm
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vision:
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enabled: false
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\ else:\n after = query\n extracted_content\
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\ return {\n \"result\": extracted_content,\n \"clue_word\"\
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: before\n }\n"
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code_language: python3
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outputs:
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clue_word:
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children: null
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type: string
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result:
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children: null
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title: 猜测问题提取
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type: code
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variables:
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\ else:\n after = query\n extracted_content\
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\ return {\n \"result\": extracted_content,\n \"clue_word\"\
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code_language: python3
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result:
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- **核心使命**：为同事提供准确、清晰且可立即执行的解决方案。
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# 处理流程与规则
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## 第一步：问答判断
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- 判断知识库内容能否回复同事咨询问题。
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- 此判断是后续流程的决策基础。
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## 第二步：分支处理与回复生成 (整合结束语)
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###情况一：知识库内容能够回复同事咨询问题
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- **同时**，判断图文信息与同事咨询问题是否相关。
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- **提取相关图文信息中的链接**，如”“提取其中的”https://yw-dify.dc.servyou-it.com“，进行全局规则中的**链接标准化**。
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- **生成回复**：基于知识库内容和相关的图文信息，生成最终回复。
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###情况二：知识库内容不能够回复同事咨询问题
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- **回复固定语句**："抱歉，您的问题可能不在服务业务范围内，请尝试调整其他问法。"。
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#全局输出格式要求（仅当知识库内容能够回复同事咨询问题时生效）
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- **结构化格式**，回复必须具有清晰的视觉层次，严格使用以下格式：
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-- 使用标题（### 解决方案）表示回复。
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-- 使用编号列表（1. 2. 3...）表示有顺序的操作步骤。
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-- 使用项目符号列表（-）表示并列的要点或说明。
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-- 关键信息（如服务器地址、代码关键字）使用行内代码标记（如 `hostname`）突出。
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#全局内容质量要求
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- **简洁精准**：确保回答直接精准有效，避免冗长，切勿过度赘述和扩展回答。
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- **专业友好**：保持专业、耐心且友好的支持态度，理解同事的急切心情。
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- **清晰准确**：确保技术术语解释清楚，步骤无歧义，信息准确无误。
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- **回复有效性**：确保**解决方案**是准确的回复并给出了正确的执行方案。
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#全局规则（所有分支适用）【要求】
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- **版权合规**：如果知识库内容和同事咨询问题涉及破解、激活等风险内容，必须附加回复相关风险内容的免责声明。
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- **链接标准化**：所有链接必须转换为markdown格式，不得出现原始链接，如”https://oa.servyou-it.com/，输出为[xxx](https://oa.servyou-it.com/)“，其中xxx根据上下文定义。
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- **文字要求**：在**解决方案**中，不能包含文字"知识库"和"员工”。
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- **文字替换**：在**解决方案**中，将"同事"文字改为称呼"您"。
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- **回复字数**：回复字数不超过500字。
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- **完全忠于知识库内容回复**：在**解决方案**中，不允许出现知识库外的拓展思考内容，包括dify的链接地址等。'
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role: user
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text: '同事咨询问题：{{#17669960466150.result#}}
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图文信息：{{#context#}}
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知识库内容：{{#1767577724877.result#}}【附加：{{#17677487224360.result#}}】'
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