Rename product to Dabenying QA assistant

2026-07-09 12:28:55 +08:00
parent 6c53566a4e
commit facb3a6a56
15 changed files with 48 additions and 42 deletions
--- a/ai_knowledge_base_v2/apps/admin-web/README.md
+++ b/ai_knowledge_base_v2/apps/admin-web/README.md
@@ -1,6 +1,6 @@
-# AI 知识库系统 V2 管理后台
+# 大本营答疑助手管理后台

-这是 V2 的管理后台，使用 Vue 3、Vite、TypeScript 和 Element Plus。
+这是大本营答疑助手的管理后台，使用 Vue 3、Vite、TypeScript 和 Element Plus。

 ## 本地启动

--- a/ai_knowledge_base_v2/apps/admin-web/index.html
+++ b/ai_knowledge_base_v2/apps/admin-web/index.html
@@ -3,7 +3,7 @@
  <head>
    <meta charset="UTF-8" />
    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>AI 知识库后台</title>
+    <title>大本营答疑助手后台</title>
  </head>
  <body>
    <div id="app"></div>
--- a/ai_knowledge_base_v2/apps/admin-web/src/App.vue
+++ b/ai_knowledge_base_v2/apps/admin-web/src/App.vue
@@ -1035,21 +1035,21 @@ function buildChatQuery() {
    <section class="login-hero">
      <div class="login-hero-main">
        <div class="login-brand">
-          <span>AI</span>
-          <strong>知识库管理后台</strong>
+          <span>答</span>
+          <strong>大本营答疑助手后台</strong>
        </div>
-        <h1>让知识库、Agent 和用户运营保持在同一个控制台里。</h1>
-        <p>统一维护学员、知识库、模型配置、问答记录和系统运行参数，方便排查与交接。</p>
+        <h1>把大本营答疑、知识库和学员运营放在同一个控制台里。</h1>
+        <p>统一维护学员名单、开放知识库、模型接入、Agent 调试、问答记录和系统运行参数，方便排查与交接。</p>
        <div class="login-highlights">
-          <span>知识库运营</span>
-          <span>Agent 调试</span>
-          <span>记录审计</span>
+          <span>大本营知识库</span>
+          <span>答疑 Agent 调试</span>
+          <span>问答记录审计</span>
        </div>
      </div>
      <section class="login-card">
        <div class="login-card-head">
-          <h2>管理员登录</h2>
-          <p>请输入后台管理员账号和密码。</p>
+          <h2>登录答疑后台</h2>
+          <p>请输入大本营答疑助手后台管理员账号和密码。</p>
        </div>
        <el-form label-position="top" @submit.prevent="login">
          <el-form-item label="管理员账号">
@@ -1064,7 +1064,7 @@ function buildChatQuery() {
              show-password
            />
          </el-form-item>
-          <el-button type="primary" :loading="loading" class="full-btn login-submit" @click="login">登录后台</el-button>
+          <el-button type="primary" :loading="loading" class="full-btn login-submit" @click="login">进入答疑后台</el-button>
        </el-form>
      </section>
    </section>
@@ -1072,7 +1072,7 @@ function buildChatQuery() {

  <main v-else class="admin-shell">
    <aside class="sidebar">
-      <div class="sidebar-title">AI 知识库</div>
+      <div class="sidebar-title">大本营答疑</div>
      <button :class="{ active: activeMenu === 'dashboard' }" @click="switchMenu('dashboard')">Dashboard</button>
      <button :class="{ active: activeMenu === 'users' }" @click="switchMenu('users')">用户管理</button>
      <button :class="{ active: activeMenu === 'knowledge' }" @click="switchMenu('knowledge')">知识库管理</button>
@@ -1591,7 +1591,7 @@ function buildChatQuery() {
            :class="message.role"
          >
            <div class="message-meta">
-              <strong>{{ message.role === 'user' ? '用户' : 'AI 助手' }}</strong>
+              <strong>{{ message.role === 'user' ? '用户' : '大本营答疑助手' }}</strong>
              <span>{{ message.createdAt }}</span>
            </div>
            <pre>{{ message.content }}</pre>
--- a/ai_knowledge_base_v2/apps/admin-web/src/main.ts
+++ b/ai_knowledge_base_v2/apps/admin-web/src/main.ts
@@ -3,7 +3,9 @@ import {
  ElCollapse,
  ElCollapseItem,
  ElDatePicker,
+  ElDivider,
  ElDrawer,
+  ElEmpty,
  ElForm,
  ElFormItem,
  ElInput,
@@ -21,7 +23,9 @@ import "element-plus/theme-chalk/base.css";
 import "element-plus/theme-chalk/el-button.css";
 import "element-plus/theme-chalk/el-collapse.css";
 import "element-plus/theme-chalk/el-date-picker.css";
+import "element-plus/theme-chalk/el-divider.css";
 import "element-plus/theme-chalk/el-drawer.css";
+import "element-plus/theme-chalk/el-empty.css";
 import "element-plus/theme-chalk/el-form.css";
 import "element-plus/theme-chalk/el-input.css";
 import "element-plus/theme-chalk/el-input-number.css";
@@ -48,7 +52,9 @@ app.config.globalProperties.$ELEMENT = { locale: zhCn };
  ElCollapse,
  ElCollapseItem,
  ElDatePicker,
+  ElDivider,
  ElDrawer,
+  ElEmpty,
  ElForm,
  ElFormItem,
  ElInput,
--- a/ai_knowledge_base_v2/apps/backend/README.md
+++ b/ai_knowledge_base_v2/apps/backend/README.md
@@ -1,6 +1,6 @@
-# AI 知识库系统 V2 后端
+# 大本营答疑助手后端

-这是 V2 的后端服务目录，当前处于阶段二第一批建设：后端基础工程、核心数据模型、mock 登录能力。
+这是大本营答疑助手的后端服务目录，当前处于阶段二第一批建设：后端基础工程、核心数据模型、mock 登录能力。

 ## 技术栈

--- a/ai_knowledge_base_v2/apps/backend/app/api/admin_settings.py
+++ b/ai_knowledge_base_v2/apps/backend/app/api/admin_settings.py
@@ -25,7 +25,7 @@ from app.services.rag_service import RagResult

 router = APIRouter()

-DEFAULT_PROMPT = "你是企业飞书知识库 AI 助手。你只能基于提供的知识片段回答，不能编造。"
+DEFAULT_PROMPT = "你是大本营答疑助手。你只能基于提供的知识片段回答，不能编造。"


@router.get("/prompt")
--- a/ai_knowledge_base_v2/apps/backend/app/services/chat_service.py
+++ b/ai_knowledge_base_v2/apps/backend/app/services/chat_service.py
@@ -214,7 +214,7 @@ class ChatService:

        # 拼接成文本
        import re
-        role_labels = {"user": "用户", "assistant": "AI助手"}
+        role_labels = {"user": "用户", "assistant": "大本营答疑助手"}
        parts = []
        for msg in to_summarize:
            content = re.sub(r"<think[\s\S]*?</think\s*>", "", msg.content, flags=re.IGNORECASE).strip()
--- a/ai_knowledge_base_v2/apps/backend/app/services/model_service.py
+++ b/ai_knowledge_base_v2/apps/backend/app/services/model_service.py
@@ -184,7 +184,7 @@ def _call_openai_compatible_model(model: ModelConfig, rag_result: RagResult) ->
    payload = {
        "model": model.model_name,
        "messages": [
-            {"role": "system", "content": "你是企业知识库问答助手，只能基于已提供的知识片段回答。"},
+            {"role": "system", "content": "你是大本营答疑助手，只能基于已提供的知识片段回答。"},
            {"role": "user", "content": rag_result.prompt},
        ],
        "stream": False,
@@ -217,7 +217,7 @@ def _call_anthropic_messages(model: ModelConfig, rag_result: RagResult) -> str:
    payload = {
        "model": model.model_name,
        "max_tokens": model.max_token or 1024,
-        "system": "你是企业知识库问答助手，只能基于已提供的知识片段回答。",
+        "system": "你是大本营答疑助手，只能基于已提供的知识片段回答。",
        "messages": [{"role": "user", "content": rag_result.prompt}],
        "stream": False,
    }
@@ -251,7 +251,7 @@ def _call_gemini_generate_content(model: ModelConfig, rag_result: RagResult) ->

    payload = {
        "systemInstruction": {
-            "parts": [{"text": "你是企业知识库问答助手，只能基于已提供的知识片段回答。"}]
+            "parts": [{"text": "你是大本营答疑助手，只能基于已提供的知识片段回答。"}]
        },
        "contents": [{"role": "user", "parts": [{"text": rag_result.prompt}]}],
    }
@@ -329,14 +329,14 @@ def _call_minimax(model: ModelConfig, rag_result: RagResult) -> str:
    payload: dict[str, Any] = {
        "model": model.model_name,
        "tokens_to_generate": model.max_token or 1024,
-        "reply_constraints": {"sender_type": "BOT", "sender_name": "AI知识库助手"},
+        "reply_constraints": {"sender_type": "BOT", "sender_name": "大本营答疑助手"},
        "messages": [
            {"sender_type": "USER", "sender_name": "用户", "text": rag_result.prompt},
        ],
        "bot_setting": [
            {
-                "bot_name": "AI知识库助手",
-                "content": "你是企业知识库问答助手，只能基于已提供的知识片段回答。",
+                "bot_name": "大本营答疑助手",
+                "content": "你是大本营答疑助手，只能基于已提供的知识片段回答。",
            }
        ],
    }
--- a/ai_knowledge_base_v2/apps/backend/app/services/model_stream_service.py
+++ b/ai_knowledge_base_v2/apps/backend/app/services/model_stream_service.py
@@ -162,7 +162,7 @@ def _stream_openai_compatible_model(model: ModelConfig, rag_result: RagResult) -
    payload: dict[str, Any] = {
        "model": model.model_name,
        "messages": [
-            {"role": "system", "content": "你是企业知识库问答助手，只能基于已提供的知识片段回答。"},
+            {"role": "system", "content": "你是大本营答疑助手，只能基于已提供的知识片段回答。"},
            {"role": "user", "content": rag_result.prompt},
        ],
        "max_tokens": model.max_token or 1024,
@@ -211,7 +211,7 @@ def _openai_stream_payload(model: ModelConfig, rag_result: RagResult) -> dict[st
    payload: dict[str, Any] = {
        "model": model.model_name,
        "messages": [
-            {"role": "system", "content": "你是企业知识库问答助手，只能基于已提供的知识片段回答。"},
+            {"role": "system", "content": "你是大本营答疑助手，只能基于已提供的知识片段回答。"},
            {"role": "user", "content": rag_result.prompt},
        ],
        "max_tokens": model.max_token or 1024,
@@ -317,7 +317,7 @@ def _stream_anthropic_messages(model: ModelConfig, rag_result: RagResult) -> Ite
    payload: dict[str, Any] = {
        "model": model.model_name,
        "max_tokens": model.max_token or 1024,
-        "system": "你是企业知识库问答助手，只能基于已提供的知识片段回答。",
+        "system": "你是大本营答疑助手，只能基于已提供的知识片段回答。",
        "messages": [{"role": "user", "content": rag_result.prompt}],
    }
    _put_if_not_none(payload, "temperature", _decimal_to_float(model.temperature))
@@ -361,7 +361,7 @@ def _anthropic_stream_payload(model: ModelConfig, rag_result: RagResult) -> dict
    payload: dict[str, Any] = {
        "model": model.model_name,
        "max_tokens": model.max_token or 1024,
-        "system": "你是企业知识库问答助手，只能基于已提供的知识片段回答。",
+        "system": "你是大本营答疑助手，只能基于已提供的知识片段回答。",
        "messages": [{"role": "user", "content": rag_result.prompt}],
    }
    _put_if_not_none(payload, "temperature", _decimal_to_float(model.temperature))
--- a/ai_knowledge_base_v2/apps/backend/app/services/rag_service.py
+++ b/ai_knowledge_base_v2/apps/backend/app/services/rag_service.py
@@ -61,7 +61,7 @@ class RagService:

 class PromptService:
    _default_prompt = (
-        "你是企业飞书知识库 AI 助手。你只能基于提供的知识片段回答，不能编造。"
+        "你是大本营答疑助手。你只能基于提供的知识片段回答，不能编造。"
        "如果知识片段之间有冲突，需要说明不同来源的观点。"
    )

@@ -114,7 +114,7 @@ class PromptService:
        # 只保留最近 KEEP_RECENT 轮的原文（1 轮 = 1 个 user + 1 个 assistant）
        recent = history[-(KEEP_RECENT * 2):]
        if recent:
-            role_labels = {"user": "用户", "assistant": "AI助手"}
+            role_labels = {"user": "用户", "assistant": "大本营答疑助手"}
            for msg in recent:
                label = role_labels.get(msg.role, msg.role)
                content = msg.content.strip()
--- a/ai_knowledge_base_v2/apps/user-client/README.md
+++ b/ai_knowledge_base_v2/apps/user-client/README.md
@@ -1,6 +1,6 @@
-# AI 知识库系统 V2 用户端 H5
+# 大本营答疑助手用户端 H5

-这是 V2 的用户端 H5，技术栈为 Vue 3 + Vite + TypeScript。
+这是大本营答疑助手的用户端 H5，技术栈为 Vue 3 + Vite + TypeScript。

 ## 当前已完成

--- a/ai_knowledge_base_v2/apps/user-client/index.html
+++ b/ai_knowledge_base_v2/apps/user-client/index.html
@@ -3,7 +3,7 @@
  <head>
    <meta charset="UTF-8" />
    <meta name="viewport" content="width=device-width, initial-scale=1.0, viewport-fit=cover" />
-    <title>AI知识库助手</title>
+    <title>大本营答疑助手</title>
  </head>
  <body>
    <div id="app"></div>
--- a/ai_knowledge_base_v2/apps/user-client/src/App.vue
+++ b/ai_knowledge_base_v2/apps/user-client/src/App.vue
@@ -34,7 +34,7 @@ onMounted(async () => {
  try {
    user.value = await api.profile();
    await loadSessions();
-    statusText.value = "已连接知识库服务";
+    statusText.value = "已连接大本营答疑服务";
  } catch {
    clearToken();
    statusText.value = "登录已失效";
@@ -45,7 +45,7 @@ onMounted(async () => {

 async function onLoggedIn(profile: UserProfile) {
  user.value = profile;
-  statusText.value = "已连接知识库服务";
+  statusText.value = "已连接大本营答疑服务";
  await loadSessions();
 }

@@ -185,7 +185,7 @@ async function scrollToBottom() {
        <header class="topbar">
          <button type="button" class="icon-btn" @click="drawerOpen = true">☰</button>
          <div>
-            <h1>AI知识库助手</h1>
+            <h1>大本营答疑助手</h1>
            <p>{{ statusText }}</p>
          </div>
          <button type="button" class="plain-btn" @click="logout">退出</button>
@@ -199,7 +199,7 @@ async function scrollToBottom() {
        <section class="chat-area">
          <div v-if="messages.length === 0" class="empty-state">
            <strong>可以开始提问了</strong>
-            <p>当前已接入真实知识库检索链路，若外部服务未配置或权限不足，会在回复区提示具体原因。</p>
+            <p>当前已接入大本营知识库检索链路，若外部服务未配置或权限不足，会在回复区提示具体原因。</p>
          </div>
          <ChatMessage
            v-for="message in messages"
--- a/ai_knowledge_base_v2/apps/user-client/src/components/ChatMessage.vue
+++ b/ai_knowledge_base_v2/apps/user-client/src/components/ChatMessage.vue
@@ -57,7 +57,7 @@ const renderedContent = computed(() => {

 <template>
  <article class="message" :class="role">
-    <div class="avatar">{{ role === "assistant" ? "AI" : "我" }}</div>
+    <div class="avatar">{{ role === "assistant" ? "答" : "我" }}</div>
    <div class="bubble">
      <template v-if="role === 'assistant'">
        <div v-if="streaming && assistantParts.reasoning" class="thinking-indicator">
--- a/ai_knowledge_base_v2/apps/user-client/src/components/LoginPanel.vue
+++ b/ai_knowledge_base_v2/apps/user-client/src/components/LoginPanel.vue
@@ -76,9 +76,9 @@ function showError(text: string) {

 <template>
  <section class="login-panel">
-    <div class="brand-mark">AI</div>
-    <h1>AI知识库助手</h1>
-    <p>企业知识统一问答入口</p>
+    <div class="brand-mark">答</div>
+    <h1>大本营答疑助手</h1>
+    <p>围绕大本营知识库，为学员提供及时、可信的答疑支持。</p>

    <label>
      手机号