Complete admin model management

2026-07-07 12:58:26 +08:00
parent 08c301c136
commit 55b7c5b0ea
12 changed files with 859 additions and 40 deletions
--- a/ai_knowledge_base_v2/apps/admin-web/src/App.vue
+++ b/ai_knowledge_base_v2/apps/admin-web/src/App.vue
@@ -32,6 +32,7 @@ const promptContent = ref("");
 const chatDetail = ref<ChatDetail | null>(null);
 const chatDetailOpen = ref(false);
 const recordTab = ref("chats");
+const editingModelId = ref<number | null>(null);

 const knowledgeForm = reactive({
  name: "",
@@ -42,15 +43,115 @@ const knowledgeForm = reactive({
 });

 const modelForm = reactive({
-  provider: "openai-compatible",
+  provider: "openai",
+  displayName: "",
+  apiType: "openai_compatible",
  modelName: "",
+  baseUrl: "https://api.openai.com/v1",
  apiUrl: "",
  apiKey: "",
-  temperature: 0.2,
+  authType: "bearer",
+  apiVersion: "",
+  temperature: 0.2 as number | null,
+  topP: null as number | null,
+  topK: null as number | null,
+  presencePenalty: null as number | null,
+  frequencyPenalty: null as number | null,
  maxToken: 1024,
+  contextWindow: null as number | null,
+  streamEnabled: 1,
+  responseFormat: "",
+  extraParams: "",
+  remark: "",
  timeoutSecond: 30,
 });

+const modelPresets = [
+  {
+    label: "OpenAI",
+    provider: "openai",
+    apiType: "openai_compatible",
+    baseUrl: "https://api.openai.com/v1",
+    apiUrl: "",
+    authType: "bearer",
+  },
+  {
+    label: "DeepSeek",
+    provider: "deepseek",
+    apiType: "openai_compatible",
+    baseUrl: "https://api.deepseek.com/v1",
+    apiUrl: "",
+    authType: "bearer",
+  },
+  {
+    label: "通义千问 DashScope",
+    provider: "qwen",
+    apiType: "openai_compatible",
+    baseUrl: "https://dashscope.aliyuncs.com/compatible-mode/v1",
+    apiUrl: "",
+    authType: "bearer",
+  },
+  {
+    label: "Kimi / Moonshot",
+    provider: "moonshot",
+    apiType: "openai_compatible",
+    baseUrl: "https://api.moonshot.cn/v1",
+    apiUrl: "",
+    authType: "bearer",
+  },
+  {
+    label: "硅基流动 SiliconFlow",
+    provider: "siliconflow",
+    apiType: "openai_compatible",
+    baseUrl: "https://api.siliconflow.cn/v1",
+    apiUrl: "",
+    authType: "bearer",
+  },
+  {
+    label: "火山方舟 Ark",
+    provider: "volcengine-ark",
+    apiType: "openai_compatible",
+    baseUrl: "https://ark.cn-beijing.volces.com/api/v3",
+    apiUrl: "",
+    authType: "bearer",
+  },
+  {
+    label: "Anthropic Claude",
+    provider: "anthropic",
+    apiType: "anthropic_messages",
+    baseUrl: "https://api.anthropic.com",
+    apiUrl: "",
+    authType: "api_key",
+    apiVersion: "2023-06-01",
+    temperature: null,
+    topP: null,
+    topK: null,
+  },
+  {
+    label: "Google Gemini",
+    provider: "gemini",
+    apiType: "gemini_generate_content",
+    baseUrl: "https://generativelanguage.googleapis.com/v1beta",
+    apiUrl: "",
+    authType: "api_key",
+    temperature: null,
+    topP: null,
+    topK: null,
+  },
+];
+
+const nullableModelFields = [
+  "temperature",
+  "topP",
+  "topK",
+  "presencePenalty",
+  "frequencyPenalty",
+  "contextWindow",
+  "responseFormat",
+  "extraParams",
+  "remark",
+] as const;
+
 const configForm = reactive({
  configKey: "daily_chat_limit",
  configValue: "100",
@@ -143,26 +244,141 @@ async function resetPrompt() {
 }

 async function saveModel() {
-  await api.createModel({ ...modelForm });
+  if (!validateModelForm()) return;
+  const payload = buildModelPayload();
+  if (editingModelId.value) {
+    await api.updateModel(editingModelId.value, payload);
+    ElMessage.success("模型已更新");
+  } else {
+    await api.createModel(payload);
    ElMessage.success("模型已新增");
-  Object.assign(modelForm, {
-    provider: "openai-compatible",
-    modelName: "",
-    apiUrl: "",
-    apiKey: "",
-    temperature: 0.2,
-    maxToken: 1024,
-    timeoutSecond: 30,
-  });
+  }
+  resetModelForm();
  await loadCurrentMenu();
 }

+function buildModelPayload() {
+  const payload = { ...modelForm } as Record<string, unknown>;
+  nullableModelFields.forEach((field) => {
+    if (payload[field] === undefined || payload[field] === "") {
+      payload[field] = null;
+    }
+  });
+  return payload;
+}
+
 async function enableModel(id: number) {
  await api.enableModel(id);
  ElMessage.success("模型已启用");
  await loadCurrentMenu();
 }

+async function testModel(id: number) {
+  const result = await api.testModel(id);
+  if (result.ok) {
+    ElMessage.success(result.message);
+  } else {
+    ElMessage.error(result.message);
+  }
+}
+
+function applyModelPreset(label: string) {
+  const preset = modelPresets.find((item) => item.label === label);
+  if (!preset) return;
+  Object.assign(
+    modelForm,
+    {
+      apiVersion: "",
+      authType: "bearer",
+      temperature: 0.2,
+      topP: null,
+      topK: null,
+      presencePenalty: null,
+      frequencyPenalty: null,
+      responseFormat: "",
+      streamEnabled: 1,
+    },
+    preset,
+  );
+}
+
+function editModel(row: ModelItem) {
+  editingModelId.value = row.id;
+  Object.assign(modelForm, {
+    provider: row.provider,
+    displayName: row.displayName ?? "",
+    apiType: row.apiType,
+    modelName: row.modelName,
+    baseUrl: row.baseUrl ?? "",
+    apiUrl: row.apiUrl,
+    apiKey: "",
+    authType: row.authType,
+    apiVersion: row.apiVersion ?? "",
+    temperature: row.temperature ?? null,
+    topP: row.topP ?? null,
+    topK: row.topK ?? null,
+    presencePenalty: row.presencePenalty ?? null,
+    frequencyPenalty: row.frequencyPenalty ?? null,
+    maxToken: row.maxToken ?? 1024,
+    contextWindow: row.contextWindow ?? null,
+    streamEnabled: row.streamEnabled,
+    responseFormat: row.responseFormat ?? "",
+    extraParams: row.extraParams ?? "",
+    remark: row.remark ?? "",
+    timeoutSecond: row.timeoutSecond,
+  });
+}
+
+function resetModelForm() {
+  editingModelId.value = null;
+  Object.assign(modelForm, {
+    provider: "openai",
+    displayName: "",
+    apiType: "openai_compatible",
+    modelName: "",
+    baseUrl: "https://api.openai.com/v1",
+    apiUrl: "",
+    apiKey: "",
+    authType: "bearer",
+    apiVersion: "",
+    temperature: 0.2,
+    topP: null,
+    topK: null,
+    presencePenalty: null,
+    frequencyPenalty: null,
+    maxToken: 1024,
+    contextWindow: null,
+    streamEnabled: 1,
+    responseFormat: "",
+    extraParams: "",
+    remark: "",
+    timeoutSecond: 30,
+  });
+}
+
+function validateModelForm() {
+  if (!modelForm.apiUrl && !modelForm.baseUrl) {
+    ElMessage.error("请填写 Base URL 或 API URL");
+    return false;
+  }
+  if (!editingModelId.value && !modelForm.apiKey) {
+    ElMessage.error("新增模型必须填写 API Key");
+    return false;
+  }
+  if (modelForm.extraParams.trim()) {
+    try {
+      const extraParams = JSON.parse(modelForm.extraParams);
+      if (!extraParams || Array.isArray(extraParams) || typeof extraParams !== "object") {
+        throw new Error("高级 JSON 参数必须是对象");
+      }
+    } catch (error) {
+      ElMessage.error(error instanceof Error ? error.message : "高级 JSON 参数不是合法 JSON");
+      return false;
+    }
+  }
+  return true;
+}
+
 async function saveConfig() {
  await api.saveConfig({ ...configForm });
  ElMessage.success("配置已保存");
@@ -299,21 +515,117 @@ function buildChatQuery() {
        </template>

        <template v-if="activeMenu === 'models'">
-          <div class="page-head"><h2>模型管理</h2><p>同一时间只启用一个模型。</p></div>
-          <el-form class="model-form" label-position="top" :model="modelForm">
-            <el-input v-model="modelForm.provider" placeholder="Provider" />
-            <el-input v-model="modelForm.modelName" placeholder="模型名" />
-            <el-input v-model="modelForm.apiUrl" placeholder="API URL" />
-            <el-input v-model="modelForm.apiKey" placeholder="API Key" show-password />
-            <el-button type="primary" @click="saveModel">新增模型</el-button>
+          <div class="page-head inline">
+            <div><h2>模型管理</h2><p>支持 OpenAI 兼容、Anthropic Messages、Gemini generateContent 和常见第三方 LLM。</p></div>
+            <el-button @click="resetModelForm">清空表单</el-button>
+          </div>
+          <el-form class="model-config-panel" label-position="top" :model="modelForm">
+            <div class="model-config-grid">
+              <el-form-item label="供应商预设">
+                <el-select placeholder="选择预设" clearable @change="applyModelPreset">
+                  <el-option v-for="preset in modelPresets" :key="preset.label" :label="preset.label" :value="preset.label" />
+                </el-select>
+              </el-form-item>
+              <el-form-item label="供应商标识">
+                <el-input v-model="modelForm.provider" placeholder="openai / deepseek / qwen" />
+              </el-form-item>
+              <el-form-item label="显示名称">
+                <el-input v-model="modelForm.displayName" placeholder="例如：DeepSeek V3 生产" />
+              </el-form-item>
+              <el-form-item label="协议类型">
+                <el-select v-model="modelForm.apiType">
+                  <el-option label="OpenAI 兼容" value="openai_compatible" />
+                  <el-option label="Anthropic Messages" value="anthropic_messages" />
+                  <el-option label="Gemini generateContent" value="gemini_generate_content" />
+                </el-select>
+              </el-form-item>
+              <el-form-item label="模型名">
+                <el-input v-model="modelForm.modelName" placeholder="gpt-4.1 / deepseek-chat / claude..." />
+              </el-form-item>
+              <el-form-item label="Base URL">
+                <el-input v-model="modelForm.baseUrl" placeholder="https://api.example.com/v1" />
+              </el-form-item>
+              <el-form-item label="API URL（可覆盖）">
+                <el-input v-model="modelForm.apiUrl" placeholder="留空则按协议自动拼接" />
+              </el-form-item>
+              <el-form-item label="鉴权方式">
+                <el-select v-model="modelForm.authType">
+                  <el-option label="Bearer Token" value="bearer" />
+                  <el-option label="x-api-key" value="api_key" />
+                </el-select>
+              </el-form-item>
+              <el-form-item label="API Key">
+                <el-input v-model="modelForm.apiKey" placeholder="保存时会覆盖旧 Key" show-password />
+              </el-form-item>
+              <el-form-item label="API Version">
+                <el-input v-model="modelForm.apiVersion" placeholder="Anthropic 默认 2023-06-01" />
+              </el-form-item>
+              <el-form-item label="Temperature">
+                <el-input-number v-model="modelForm.temperature" :min="0" :max="2" :step="0.1" />
+              </el-form-item>
+              <el-form-item label="Top P">
+                <el-input-number v-model="modelForm.topP" :min="0" :max="1" :step="0.05" />
+              </el-form-item>
+              <el-form-item label="Top K">
+                <el-input-number v-model="modelForm.topK" :min="1" :max="1000" />
+              </el-form-item>
+              <el-form-item label="Max Tokens">
+                <el-input-number v-model="modelForm.maxToken" :min="1" :max="100000" />
+              </el-form-item>
+              <el-form-item label="上下文窗口">
+                <el-input-number v-model="modelForm.contextWindow" :min="1" :max="2000000" />
+              </el-form-item>
+              <el-form-item label="Presence Penalty">
+                <el-input-number v-model="modelForm.presencePenalty" :min="-2" :max="2" :step="0.1" />
+              </el-form-item>
+              <el-form-item label="Frequency Penalty">
+                <el-input-number v-model="modelForm.frequencyPenalty" :min="-2" :max="2" :step="0.1" />
+              </el-form-item>
+              <el-form-item label="流式输出">
+                <el-switch v-model="modelForm.streamEnabled" :active-value="1" :inactive-value="0" />
+              </el-form-item>
+              <el-form-item label="响应格式">
+                <el-select v-model="modelForm.responseFormat" clearable>
+                  <el-option label="默认文本" value="" />
+                  <el-option label="JSON Object" value="json_object" />
+                </el-select>
+              </el-form-item>
+              <el-form-item label="超时秒数">
+                <el-input-number v-model="modelForm.timeoutSecond" :min="1" :max="300" />
+              </el-form-item>
+            </div>
+            <el-form-item label="高级 JSON 参数">
+              <el-input
+                v-model="modelForm.extraParams"
+                type="textarea"
+                :rows="4"
+                placeholder='例如：{"stop":["###"],"seed":42}'
+              />
+            </el-form-item>
+            <el-form-item label="备注">
+              <el-input v-model="modelForm.remark" placeholder="用途、额度、注意事项等" />
+            </el-form-item>
+            <div class="actions">
+              <el-button type="primary" @click="saveModel">{{ editingModelId ? "保存模型" : "新增模型" }}</el-button>
+              <el-button @click="resetModelForm">取消编辑</el-button>
+            </div>
          </el-form>
          <el-table :data="models" stripe>
+            <el-table-column prop="displayName" label="显示名称" width="170" />
            <el-table-column prop="provider" label="Provider" />
+            <el-table-column prop="apiType" label="协议" width="170" />
            <el-table-column prop="modelName" label="模型" />
-            <el-table-column prop="apiUrl" label="API URL" />
+            <el-table-column prop="baseUrl" label="Base URL" min-width="220" show-overflow-tooltip />
+            <el-table-column prop="temperature" label="温度" width="80" />
+            <el-table-column prop="topP" label="Top P" width="80" />
+            <el-table-column prop="maxToken" label="Max" width="90" />
            <el-table-column prop="enabled" label="启用" width="90" />
-            <el-table-column label="操作" width="110">
-              <template #default="{ row }"><el-button size="small" @click="enableModel(row.id)">启用</el-button></template>
+            <el-table-column label="操作" width="210" fixed="right">
+              <template #default="{ row }">
+                <el-button size="small" @click="editModel(row)">编辑</el-button>
+                <el-button size="small" @click="testModel(row.id)">测试</el-button>
+                <el-button size="small" type="primary" @click="enableModel(row.id)">启用</el-button>
+              </template>
            </el-table-column>
          </el-table>
        </template>
--- a/ai_knowledge_base_v2/apps/admin-web/src/services/api.ts
+++ b/ai_knowledge_base_v2/apps/admin-web/src/services/api.ts
@@ -86,8 +86,15 @@ export const api = {
  models: () => request<ModelItem[]>("/admin/model/list"),
  createModel: (payload: Record<string, unknown>) =>
    request<ModelItem>("/admin/model", { method: "POST", body: JSON.stringify(payload) }),
+  updateModel: (id: number, payload: Record<string, unknown>) =>
+    request<ModelItem>(`/admin/model/${id}`, { method: "PUT", body: JSON.stringify(payload) }),
  enableModel: (modelId: number) =>
    request<null>("/admin/model/enable", { method: "POST", body: JSON.stringify({ modelId }) }),
+  testModel: (modelId: number) =>
+    request<{ ok: boolean; message: string; answer: string }>(`/admin/model/${modelId}/test`, {
+      method: "POST",
+      body: "{}",
+    }),
  configs: () => request<Record<string, unknown>[]>("/admin/config"),
  saveConfig: (payload: Record<string, unknown>) =>
    request<Record<string, unknown>>("/admin/config", { method: "PUT", body: JSON.stringify(payload) }),
--- a/ai_knowledge_base_v2/apps/admin-web/src/styles.css
+++ b/ai_knowledge_base_v2/apps/admin-web/src/styles.css
@@ -185,6 +185,30 @@ textarea {
  grid-template-columns: repeat(5, minmax(0, 1fr));
 }

+.model-config-panel {
+  margin-bottom: 18px;
+  padding: 18px;
+  border: 1px solid #dfe8e5;
+  border-radius: 8px;
+  background: #ffffff;
+}
+
+.model-config-grid {
+  display: grid;
+  grid-template-columns: repeat(4, minmax(180px, 1fr));
+  gap: 12px 14px;
+}
+
+.model-config-panel .el-form-item {
+  margin-bottom: 12px;
+}
+
+.model-config-panel .el-select,
+.model-config-panel .el-input-number,
+.model-config-panel .el-input {
+  width: 100%;
+}
+
 .actions {
  margin-top: 12px;
 }
--- a/ai_knowledge_base_v2/apps/admin-web/src/types/api.ts
+++ b/ai_knowledge_base_v2/apps/admin-web/src/types/api.ts
@@ -42,11 +42,25 @@ export interface KnowledgeItem {
 export interface ModelItem {
  id: number;
  provider: string;
+  displayName?: string | null;
+  apiType: string;
  modelName: string;
+  baseUrl?: string | null;
  apiUrl: string;
  apiKeyMasked: string;
+  authType: string;
+  apiVersion?: string | null;
  temperature?: number | null;
+  topP?: number | null;
+  topK?: number | null;
+  presencePenalty?: number | null;
+  frequencyPenalty?: number | null;
  maxToken?: number | null;
+  contextWindow?: number | null;
+  streamEnabled: number;
+  responseFormat?: string | null;
+  extraParams?: string | null;
+  remark?: string | null;
  timeoutSecond: number;
  enabled: number;
 }
--- a/ai_knowledge_base_v2/apps/backend/alembic/versions/0002_expand_model_config.py
+++ b/ai_knowledge_base_v2/apps/backend/alembic/versions/0002_expand_model_config.py
@@ -0,0 +1,56 @@
+from __future__ import annotations
+
+from alembic import op
+import sqlalchemy as sa
+
+revision = "0002_expand_model_config"
+down_revision = "0001_initial_schema"
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    op.add_column("sys_model", sa.Column("display_name", sa.String(length=100), nullable=True))
+    op.add_column(
+        "sys_model",
+        sa.Column("api_type", sa.String(length=50), nullable=False, server_default="openai_compatible"),
+    )
+    op.add_column("sys_model", sa.Column("base_url", sa.String(length=255), nullable=True))
+    op.add_column(
+        "sys_model",
+        sa.Column("auth_type", sa.String(length=30), nullable=False, server_default="bearer"),
+    )
+    op.add_column("sys_model", sa.Column("api_version", sa.String(length=50), nullable=True))
+    op.add_column("sys_model", sa.Column("top_p", sa.Numeric(4, 2), nullable=True))
+    op.add_column("sys_model", sa.Column("top_k", sa.Integer(), nullable=True))
+    op.add_column("sys_model", sa.Column("presence_penalty", sa.Numeric(4, 2), nullable=True))
+    op.add_column("sys_model", sa.Column("frequency_penalty", sa.Numeric(4, 2), nullable=True))
+    op.add_column("sys_model", sa.Column("context_window", sa.Integer(), nullable=True))
+    op.add_column(
+        "sys_model",
+        sa.Column("stream_enabled", sa.Integer(), nullable=False, server_default="1"),
+    )
+    op.add_column("sys_model", sa.Column("response_format", sa.String(length=50), nullable=True))
+    op.add_column("sys_model", sa.Column("extra_params", sa.Text(), nullable=True))
+    op.add_column("sys_model", sa.Column("remark", sa.String(length=255), nullable=True))
+
+    op.alter_column("sys_model", "api_type", server_default=None)
+    op.alter_column("sys_model", "auth_type", server_default=None)
+    op.alter_column("sys_model", "stream_enabled", server_default=None)
+
+
+def downgrade() -> None:
+    op.drop_column("sys_model", "remark")
+    op.drop_column("sys_model", "extra_params")
+    op.drop_column("sys_model", "response_format")
+    op.drop_column("sys_model", "stream_enabled")
+    op.drop_column("sys_model", "context_window")
+    op.drop_column("sys_model", "frequency_penalty")
+    op.drop_column("sys_model", "presence_penalty")
+    op.drop_column("sys_model", "top_k")
+    op.drop_column("sys_model", "top_p")
+    op.drop_column("sys_model", "api_version")
+    op.drop_column("sys_model", "auth_type")
+    op.drop_column("sys_model", "base_url")
+    op.drop_column("sys_model", "api_type")
+    op.drop_column("sys_model", "display_name")
--- a/ai_knowledge_base_v2/apps/backend/app/api/admin_settings.py
+++ b/ai_knowledge_base_v2/apps/backend/app/api/admin_settings.py
@@ -11,6 +11,7 @@ from app.models.admin import Admin
 from app.models.ai_config import ModelConfig, Prompt, SystemConfig
 from app.schemas.admin import EnableModelRequest, ModelSaveRequest, PromptSaveRequest, SystemConfigSaveRequest
 from app.services.admin_service import OperationLogService
+from app.services.model_service import ModelClientService

 router = APIRouter()

@@ -59,13 +60,29 @@ def create_model(
    db: Session = Depends(get_db),
    current_admin: Admin = Depends(get_current_admin),
 ) -> dict:
+    if not payload.apiKey:
+        raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="API Key 不能为空")
    model = ModelConfig(
        provider=payload.provider,
+        display_name=payload.displayName,
+        api_type=payload.apiType,
        model_name=payload.modelName,
+        base_url=payload.baseUrl,
        api_url=payload.apiUrl,
        api_key=payload.apiKey,
+        auth_type=payload.authType,
+        api_version=payload.apiVersion,
        temperature=payload.temperature,
+        top_p=payload.topP,
+        top_k=payload.topK,
+        presence_penalty=payload.presencePenalty,
+        frequency_penalty=payload.frequencyPenalty,
        max_token=payload.maxToken,
+        context_window=payload.contextWindow,
+        stream_enabled=payload.streamEnabled,
+        response_format=payload.responseFormat,
+        extra_params=payload.extraParams,
+        remark=payload.remark,
        timeout_second=payload.timeoutSecond,
        enabled=0,
    )
@@ -77,6 +94,46 @@ def create_model(
    return api_success(_model_dict(model))


+@router.put("/model/{model_id}")
+def update_model(
+    model_id: int,
+    payload: ModelSaveRequest,
+    db: Session = Depends(get_db),
+    current_admin: Admin = Depends(get_current_admin),
+) -> dict:
+    model = db.get(ModelConfig, model_id)
+    if model is None:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="模型不存在")
+
+    model.provider = payload.provider
+    model.display_name = payload.displayName
+    model.api_type = payload.apiType
+    model.model_name = payload.modelName
+    model.base_url = payload.baseUrl
+    model.api_url = payload.apiUrl
+    if payload.apiKey:
+        model.api_key = payload.apiKey
+    model.auth_type = payload.authType
+    model.api_version = payload.apiVersion
+    model.temperature = payload.temperature
+    model.top_p = payload.topP
+    model.top_k = payload.topK
+    model.presence_penalty = payload.presencePenalty
+    model.frequency_penalty = payload.frequencyPenalty
+    model.max_token = payload.maxToken
+    model.context_window = payload.contextWindow
+    model.stream_enabled = payload.streamEnabled
+    model.response_format = payload.responseFormat
+    model.extra_params = payload.extraParams
+    model.remark = payload.remark
+    model.timeout_second = payload.timeoutSecond
+    db.add(model)
+    OperationLogService.write(db, admin_id=current_admin.id, module="model", action="update", target_id=model.id)
+    db.commit()
+    db.refresh(model)
+    return api_success(_model_dict(model))
+
+
@router.post("/model/enable")
 def enable_model(
    payload: EnableModelRequest,
@@ -109,6 +166,21 @@ def delete_model(
    return api_success()


+@router.post("/model/{model_id}/test")
+def test_model(
+    model_id: int,
+    db: Session = Depends(get_db),
+    current_admin: Admin = Depends(get_current_admin),
+) -> dict:
+    model = db.get(ModelConfig, model_id)
+    if model is None:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="模型不存在")
+    result = ModelClientService.test_model(model)
+    OperationLogService.write(db, admin_id=current_admin.id, module="model", action="test", target_id=model.id)
+    db.commit()
+    return api_success(result)
+
+
@router.get("/config")
 def list_config(db: Session = Depends(get_db), current_admin: Admin = Depends(get_current_admin)) -> dict:
    configs = db.scalars(select(SystemConfig).order_by(SystemConfig.config_key.asc())).all()
@@ -139,11 +211,25 @@ def _model_dict(model: ModelConfig) -> dict:
    return {
        "id": model.id,
        "provider": model.provider,
+        "displayName": model.display_name,
+        "apiType": model.api_type,
        "modelName": model.model_name,
+        "baseUrl": model.base_url,
        "apiUrl": model.api_url,
        "apiKeyMasked": "******" if model.api_key else "",
+        "authType": model.auth_type,
+        "apiVersion": model.api_version,
        "temperature": float(model.temperature) if model.temperature is not None else None,
+        "topP": float(model.top_p) if model.top_p is not None else None,
+        "topK": model.top_k,
+        "presencePenalty": float(model.presence_penalty) if model.presence_penalty is not None else None,
+        "frequencyPenalty": float(model.frequency_penalty) if model.frequency_penalty is not None else None,
        "maxToken": model.max_token,
+        "contextWindow": model.context_window,
+        "streamEnabled": model.stream_enabled,
+        "responseFormat": model.response_format,
+        "extraParams": model.extra_params,
+        "remark": model.remark,
        "timeoutSecond": model.timeout_second,
        "enabled": model.enabled,
    }
--- a/ai_knowledge_base_v2/apps/backend/app/models/ai_config.py
+++ b/ai_knowledge_base_v2/apps/backend/app/models/ai_config.py
@@ -23,11 +23,25 @@ class ModelConfig(Base):

    id: Mapped[int] = mapped_column(BigInteger, primary_key=True, autoincrement=True)
    provider: Mapped[str] = mapped_column(String(50), nullable=False)
+    display_name: Mapped[str | None] = mapped_column(String(100), nullable=True)
+    api_type: Mapped[str] = mapped_column(String(50), default="openai_compatible", nullable=False)
    model_name: Mapped[str] = mapped_column(String(100), nullable=False)
+    base_url: Mapped[str | None] = mapped_column(String(255), nullable=True)
    api_url: Mapped[str] = mapped_column(String(255), nullable=False)
    api_key: Mapped[str] = mapped_column(Text, nullable=False)
+    auth_type: Mapped[str] = mapped_column(String(30), default="bearer", nullable=False)
+    api_version: Mapped[str | None] = mapped_column(String(50), nullable=True)
    temperature: Mapped[Decimal | None] = mapped_column(Numeric(4, 2), nullable=True)
+    top_p: Mapped[Decimal | None] = mapped_column(Numeric(4, 2), nullable=True)
+    top_k: Mapped[int | None] = mapped_column(Integer, nullable=True)
+    presence_penalty: Mapped[Decimal | None] = mapped_column(Numeric(4, 2), nullable=True)
+    frequency_penalty: Mapped[Decimal | None] = mapped_column(Numeric(4, 2), nullable=True)
    max_token: Mapped[int | None] = mapped_column(Integer, nullable=True)
+    context_window: Mapped[int | None] = mapped_column(Integer, nullable=True)
+    stream_enabled: Mapped[int] = mapped_column(default=1, nullable=False)
+    response_format: Mapped[str | None] = mapped_column(String(50), nullable=True)
+    extra_params: Mapped[str | None] = mapped_column(Text, nullable=True)
+    remark: Mapped[str | None] = mapped_column(String(255), nullable=True)
    timeout_second: Mapped[int] = mapped_column(Integer, default=30, nullable=False)
    enabled: Mapped[int] = mapped_column(default=0, nullable=False)

--- a/ai_knowledge_base_v2/apps/backend/app/schemas/admin.py
+++ b/ai_knowledge_base_v2/apps/backend/app/schemas/admin.py
@@ -53,11 +53,25 @@ class PromptSaveRequest(BaseModel):

 class ModelSaveRequest(BaseModel):
    provider: str = Field(min_length=1, max_length=50)
+    displayName: str | None = Field(default=None, max_length=100)
+    apiType: str = Field(default="openai_compatible", max_length=50)
    modelName: str = Field(min_length=1, max_length=100)
-    apiUrl: str = Field(min_length=1, max_length=255)
-    apiKey: str = Field(min_length=1)
+    baseUrl: str | None = Field(default=None, max_length=255)
+    apiUrl: str = Field(default="", max_length=255)
+    apiKey: str = ""
+    authType: str = Field(default="bearer", max_length=30)
+    apiVersion: str | None = Field(default=None, max_length=50)
    temperature: float | None = Field(default=0.2, ge=0, le=2)
+    topP: float | None = Field(default=None, ge=0, le=1)
+    topK: int | None = Field(default=None, ge=1, le=1000)
+    presencePenalty: float | None = Field(default=None, ge=-2, le=2)
+    frequencyPenalty: float | None = Field(default=None, ge=-2, le=2)
    maxToken: int | None = Field(default=1024, ge=1, le=100000)
+    contextWindow: int | None = Field(default=None, ge=1, le=2000000)
+    streamEnabled: int = Field(default=1, ge=0, le=1)
+    responseFormat: str | None = Field(default=None, max_length=50)
+    extraParams: str | None = None
+    remark: str | None = Field(default=None, max_length=255)
    timeoutSecond: int = Field(default=30, ge=1, le=300)


--- a/ai_knowledge_base_v2/apps/backend/app/services/model_service.py
+++ b/ai_knowledge_base_v2/apps/backend/app/services/model_service.py
@@ -1,7 +1,9 @@
 from __future__ import annotations

+import json
 from dataclasses import dataclass
 from typing import Any
+from urllib.parse import urlencode

 import httpx
 from sqlalchemy import select
@@ -37,7 +39,7 @@ class ModelClientService:
            answer = _mock_answer(rag_result)
        else:
            model_name = model.model_name
-            answer = _call_openai_compatible_model(model, rag_result)
+            answer = _call_configured_model(model, rag_result)

        return ModelCompletion(
            answer=answer,
@@ -47,6 +49,16 @@ class ModelClientService:
            output_token=_rough_token_count(answer),
        )

+    @staticmethod
+    def test_model(model: ModelConfig) -> dict[str, Any]:
+        test_prompt = "请回复 OK，用于测试模型配置是否可用。"
+        rag_result = RagResult(question=test_prompt, knowledge_scopes=[], chunks=[], prompt=test_prompt)
+        try:
+            answer = _call_configured_model(model, rag_result, allow_no_hit=True)
+        except ExternalServiceError as exc:
+            return {"ok": False, "message": str(exc), "answer": ""}
+        return {"ok": True, "message": "模型配置可用", "answer": answer[:500]}
+

 def _mock_answer(rag_result: RagResult) -> str:
    if not rag_result.is_hit:
@@ -67,40 +79,116 @@ def _rough_token_count(text: str) -> int:
    return max(1, len(text.strip()) // 2)


-def _call_openai_compatible_model(model: ModelConfig, rag_result: RagResult) -> str:
-    if not rag_result.is_hit:
+def _call_configured_model(model: ModelConfig, rag_result: RagResult, *, allow_no_hit: bool = False) -> str:
+    if not allow_no_hit and not rag_result.is_hit:
        return NO_HIT_ANSWER
-    if not model.api_url or not model.api_key:
-        raise ExternalServiceError("模型 API URL 或 API Key 未配置", provider="model")
+    if not (model.api_url or model.base_url) or not model.api_key:
+        raise ExternalServiceError("模型 Base URL/API URL 或 API Key 未配置", provider="model")

+    api_type = model.api_type or "openai_compatible"
+    if api_type == "anthropic_messages":
+        return _call_anthropic_messages(model, rag_result)
+    if api_type == "gemini_generate_content":
+        return _call_gemini_generate_content(model, rag_result)
+    return _call_openai_compatible_model(model, rag_result)
+
+
+def _call_openai_compatible_model(model: ModelConfig, rag_result: RagResult) -> str:
    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": "user", "content": rag_result.prompt},
        ],
-        "temperature": float(model.temperature) if model.temperature is not None else 0.2,
-        "max_tokens": model.max_token or 1024,
        "stream": False,
+        "max_tokens": model.max_token or 1024,
    }
-    headers = {
-        "Authorization": f"Bearer {model.api_key}",
-        "Content-Type": "application/json",
-    }
+    _put_if_not_none(payload, "temperature", _decimal_to_float(model.temperature))
+    _put_if_not_none(payload, "top_p", _decimal_to_float(model.top_p))
+    _put_if_not_none(payload, "presence_penalty", _decimal_to_float(model.presence_penalty))
+    _put_if_not_none(payload, "frequency_penalty", _decimal_to_float(model.frequency_penalty))
+    if model.response_format == "json_object":
+        payload["response_format"] = {"type": "json_object"}
+    payload.update(_load_extra_params(model.extra_params))
+
+    headers = _auth_headers(model)
    try:
        response = httpx.post(
-            model.api_url,
+            _resolve_openai_endpoint(model),
            json=payload,
            headers=headers,
            timeout=model.timeout_second,
        )
        response.raise_for_status()
-        return _extract_answer(response.json())
+        return _extract_openai_answer(response.json())
    except (httpx.HTTPError, ValueError, KeyError, TypeError) as exc:
        raise ExternalServiceError(f"模型调用失败：{exc}", provider="model") from exc


-def _extract_answer(data: dict[str, Any]) -> str:
+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。",
+        "messages": [{"role": "user", "content": rag_result.prompt}],
+        "stream": False,
+    }
+    _put_if_not_none(payload, "temperature", _decimal_to_float(model.temperature))
+    _put_if_not_none(payload, "top_p", _decimal_to_float(model.top_p))
+    _put_if_not_none(payload, "top_k", model.top_k)
+    payload.update(_load_extra_params(model.extra_params))
+
+    headers = {
+        "x-api-key": model.api_key,
+        "anthropic-version": model.api_version or "2023-06-01",
+        "Content-Type": "application/json",
+    }
+    try:
+        response = httpx.post(
+            _resolve_anthropic_endpoint(model),
+            json=payload,
+            headers=headers,
+            timeout=model.timeout_second,
+        )
+        response.raise_for_status()
+        return _extract_anthropic_answer(response.json())
+    except (httpx.HTTPError, ValueError, KeyError, TypeError) as exc:
+        raise ExternalServiceError(f"模型调用失败：{exc}", provider="model") from exc
+
+
+def _call_gemini_generate_content(model: ModelConfig, rag_result: RagResult) -> str:
+    generation_config: dict[str, Any] = {}
+    _put_if_not_none(generation_config, "temperature", _decimal_to_float(model.temperature))
+    _put_if_not_none(generation_config, "topP", _decimal_to_float(model.top_p))
+    _put_if_not_none(generation_config, "topK", model.top_k)
+    _put_if_not_none(generation_config, "maxOutputTokens", model.max_token)
+    if model.response_format == "json_object":
+        generation_config["responseMimeType"] = "application/json"
+
+    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。"}]
+        },
+        "contents": [{"role": "user", "parts": [{"text": rag_result.prompt}]}],
+    }
+    if generation_config:
+        payload["generationConfig"] = generation_config
+    payload.update(_load_extra_params(model.extra_params))
+
+    try:
+        response = httpx.post(
+            _resolve_gemini_endpoint(model),
+            json=payload,
+            headers={"Content-Type": "application/json"},
+            timeout=model.timeout_second,
+        )
+        response.raise_for_status()
+        return _extract_gemini_answer(response.json())
+    except (httpx.HTTPError, ValueError, KeyError, TypeError) as exc:
+        raise ExternalServiceError(f"模型调用失败：{exc}", provider="model") from exc
+
+
+def _extract_openai_answer(data: dict[str, Any]) -> str:
    choices = data.get("choices")
    if not isinstance(choices, list) or not choices:
        raise ValueError("模型响应缺少 choices")
@@ -117,3 +205,80 @@ def _extract_answer(data: dict[str, Any]) -> str:
        return str(first_choice["text"])

    raise ValueError("模型响应缺少回答内容")
+
+
+def _extract_anthropic_answer(data: dict[str, Any]) -> str:
+    content = data.get("content")
+    if not isinstance(content, list):
+        raise ValueError("Anthropic 响应缺少 content")
+    texts = [item.get("text", "") for item in content if isinstance(item, dict) and item.get("type") == "text"]
+    answer = "".join(texts).strip()
+    if not answer:
+        raise ValueError("Anthropic 响应缺少文本内容")
+    return answer
+
+
+def _extract_gemini_answer(data: dict[str, Any]) -> str:
+    candidates = data.get("candidates")
+    if not isinstance(candidates, list) or not candidates:
+        raise ValueError("Gemini 响应缺少 candidates")
+    parts = candidates[0].get("content", {}).get("parts", [])
+    texts = [item.get("text", "") for item in parts if isinstance(item, dict)]
+    answer = "".join(texts).strip()
+    if not answer:
+        raise ValueError("Gemini 响应缺少文本内容")
+    return answer
+
+
+def _resolve_openai_endpoint(model: ModelConfig) -> str:
+    if model.api_url:
+        return model.api_url
+    base_url = (model.base_url or "").rstrip("/")
+    return f"{base_url}/chat/completions"
+
+
+def _resolve_anthropic_endpoint(model: ModelConfig) -> str:
+    if model.api_url:
+        return model.api_url
+    base_url = (model.base_url or "https://api.anthropic.com").rstrip("/")
+    return f"{base_url}/v1/messages"
+
+
+def _resolve_gemini_endpoint(model: ModelConfig) -> str:
+    if model.api_url:
+        return model.api_url
+    base_url = (model.base_url or "https://generativelanguage.googleapis.com/v1beta").rstrip("/")
+    query = urlencode({"key": model.api_key})
+    return f"{base_url}/models/{model.model_name}:generateContent?{query}"
+
+
+def _auth_headers(model: ModelConfig) -> dict[str, str]:
+    headers = {"Content-Type": "application/json"}
+    if model.auth_type == "api_key":
+        headers["x-api-key"] = model.api_key
+    else:
+        headers["Authorization"] = f"Bearer {model.api_key}"
+    if model.api_version:
+        headers["api-version"] = model.api_version
+    return headers
+
+
+def _decimal_to_float(value: Any) -> float | None:
+    return float(value) if value is not None else None
+
+
+def _put_if_not_none(target: dict[str, Any], key: str, value: Any) -> None:
+    if value is not None:
+        target[key] = value
+
+
+def _load_extra_params(extra_params: str | None) -> dict[str, Any]:
+    if not extra_params:
+        return {}
+    try:
+        data = json.loads(extra_params)
+    except json.JSONDecodeError as exc:
+        raise ExternalServiceError(f"模型高级参数不是合法 JSON：{exc}", provider="model") from exc
+    if not isinstance(data, dict):
+        raise ExternalServiceError("模型高级参数必须是 JSON 对象", provider="model")
+    return data
--- a/ai_knowledge_base_v2/development_records/2026-07-06-decision-register.md
+++ b/ai_knowledge_base_v2/development_records/2026-07-06-decision-register.md
@@ -35,6 +35,10 @@
 | D-012 | 大模型真实调用先按 OpenAI 兼容 `chat/completions` 非流式响应接入。 | 默认采用 | 先打通配置化真实模型调用和失败日志，后续再升级为模型原生流式透传。 |
 | D-013 | 管理后台开发阶段支持首次登录自动创建默认管理员。 | 默认采用 | 降低本地初始化成本；生产环境必须修改默认账号密码。 |
 | D-014 | 管理后台 Element Plus 先整体引入，后续再做按需导入优化。 | 默认采用 | 阶段五优先保证后台功能闭环和交付速度，体积优化后续处理。 |
+| D-015 | 模型管理按“OpenAI 兼容协议 + 原生协议”两类补全。 | 默认采用 | DeepSeek、通义千问兼容模式、Kimi、硅基流动、火山方舟优先走 OpenAI 兼容；Anthropic Messages、Gemini generateContent 保留原生协议适配。 |
+| D-016 | 模型配置支持 `baseUrl` 自动拼接接口，同时保留 `apiUrl` 覆盖能力。 | 默认采用 | 降低普通配置成本，同时给特殊代理网关、私有化模型和供应商非标准路径保留出口。 |
+| D-017 | 编辑模型时 API Key 留空表示保留旧密钥。 | 默认采用 | 减少密钥重复暴露，避免后台人员只改参数时误覆盖密钥。 |
+| D-018 | 模型高级参数用 JSON 对象透传。 | 默认采用 | 用较低成本兼容供应商差异，避免数据库字段无限膨胀。 |

 ## 待确认决策

@@ -42,7 +46,7 @@
 | --- | --- | --- | --- |
 | Q-001 | 管理后台是否最终采用 Vue 3 + Element Plus？ | 默认采用 | 开始后台工程前。 |
 | Q-002 | 真实短信供应商是谁？ | 先 mock | 接入真实登录前。 |
-| Q-003 | 大模型供应商、API URL、模型名和鉴权方式是什么？ | 先按 OpenAI 兼容接口 | 接入真实模型前。 |
+| Q-003 | 大模型供应商、API URL、模型名和鉴权方式是什么？ | 后台模型管理已支持多供应商配置，真实生产供应商仍待确认。 | 接入真实模型前。 |
 | Q-004 | 飞书知识库实时检索 API 是否满足 SpaceID/NodeID 检索要求？ | 先做 mock + 技术验证 | 阶段二后端基础工程完成后尽快验证。 |
 | Q-005 | 模型 API Key 生产环境如何保存？ | 优先环境变量引用或加密存储 | 做模型管理功能前。 |
 | Q-006 | 飞书检索是否直接调飞书原生 API，还是先由独立适配服务封装？ | 当前先预留 `FEISHU_SEARCH_URL` 适配服务入口 | 飞书账号、权限和 API 返回结构确认后。 |
--- a/ai_knowledge_base_v2/development_records/2026-07-07-model-management-completion.md
+++ b/ai_knowledge_base_v2/development_records/2026-07-07-model-management-completion.md
@@ -0,0 +1,122 @@
+# 模型管理补全记录
+
+日期：2026-07-07
+
+## 本次目标
+
+把管理后台的模型管理从“只保存一个 OpenAI 兼容地址”补全为可维护的第三方 LLM 配置能力，后续可以支持 OpenAI、DeepSeek、通义千问兼容模式、Kimi、硅基流动、火山方舟、Anthropic Claude、Google Gemini 等供应商。
+
+## 参考口径
+
+本次以各供应商公开接口文档的共同配置项为基础，不绑定某一个供应商 SDK：
+
+- OpenAI 兼容类：统一使用 `chat/completions` 风格，支持 `model`、`messages`、`temperature`、`top_p`、`max_tokens`、`stream`、`response_format` 等常见参数。
+- DeepSeek、硅基流动、通义千问兼容模式、Kimi、火山方舟：优先作为 OpenAI 兼容协议接入，通过不同 `Base URL` 和 `modelName` 区分。
+- Anthropic Claude：使用 Messages API 原生协议，鉴权使用 `x-api-key`，并支持 `anthropic-version`。
+- Google Gemini：使用 `generateContent` 原生协议，生成参数放在 `generationConfig` 下。
+
+## 已完成
+
+### 后端
+
+- 扩展 `sys_model` 数据结构，新增：
+  - `display_name`
+  - `api_type`
+  - `base_url`
+  - `auth_type`
+  - `api_version`
+  - `top_p`
+  - `top_k`
+  - `presence_penalty`
+  - `frequency_penalty`
+  - `context_window`
+  - `stream_enabled`
+  - `response_format`
+  - `extra_params`
+  - `remark`
+- 新增 Alembic 迁移 `0002_expand_model_config`。
+- 扩展模型创建接口，支持保存完整第三方 LLM 参数。
+- 新增模型更新接口：
+  - 编辑模型时如果 API Key 留空，则保留原 API Key。
+  - 这样可以避免后台人员每次改参数都必须重新粘贴密钥。
+- 新增模型测试接口：
+  - 后台可直接发起一次轻量测试。
+  - 返回可用状态、错误信息和部分模型回复。
+- 扩展 `ModelClientService`：
+  - `openai_compatible`：按 OpenAI 兼容 `chat/completions` 调用。
+  - `anthropic_messages`：按 Anthropic Messages API 调用。
+  - `gemini_generate_content`：按 Gemini generateContent 调用。
+  - `extra_params` 支持 JSON 对象透传，用于补充供应商特有参数。
+
+### 管理后台
+
+- 模型管理表单改为完整配置面板。
+- 新增供应商预设：
+  - OpenAI
+  - DeepSeek
+  - 通义千问 DashScope
+  - Kimi / Moonshot
+  - 硅基流动 SiliconFlow
+  - 火山方舟 Ark
+  - Anthropic Claude
+  - Google Gemini
+- 新增参数配置：
+  - 协议类型
+  - Base URL
+  - API URL 覆盖
+  - 鉴权方式
+  - API Version
+  - Temperature
+  - Top P
+  - Top K
+  - Presence Penalty
+  - Frequency Penalty
+  - Max Tokens
+  - 上下文窗口
+  - 流式输出开关
+  - 响应格式
+  - 高级 JSON 参数
+  - 备注
+- 新增编辑模型、测试模型、启用模型操作。
+- 前端保存前增加基础校验：
+  - 新增模型必须填写 API Key。
+  - 编辑模型允许 API Key 留空。
+  - Base URL 和 API URL 至少填写一个。
+  - 高级 JSON 参数必须是 JSON 对象。
+
+## 默认工程决策
+
+| 编号 | 决策 | 原因 |
+| --- | --- | --- |
+| M-001 | 第三方 LLM 分为 OpenAI 兼容协议和原生协议两类。 | 国内多数供应商提供 OpenAI 兼容模式，用统一协议可以减少重复代码；Anthropic、Gemini 保留原生协议以避免参数结构不匹配。 |
+| M-002 | `apiUrl` 可以为空，优先由 `baseUrl + apiType` 自动拼接。 | 后台人员更容易配置，只要填供应商 Base URL 和模型名即可；高级场景仍可用 API URL 覆盖。 |
+| M-003 | 编辑模型时 API Key 留空表示不修改。 | 避免密钥频繁暴露和重复粘贴，降低误改风险。 |
+| M-004 | 高级参数使用 JSON 对象透传。 | 保留不同供应商的扩展能力，同时避免每个小参数都单独改数据库结构。 |
+| M-005 | Anthropic、Gemini 预设默认不强行填采样参数。 | 部分模型对非默认采样参数较敏感，预设应先保证能通，再由后台人员按需调整。 |
+| M-006 | 模型测试接口直接调用真实供应商。 | 这是后台配置验收动作，应该真实发现 Key、URL、模型名和参数错误。 |
+
+## 当前边界
+
+- API Key 当前仍存储在数据库字段中，生产环境建议后续升级为加密存储或环境变量引用。
+- 流式输出字段已保存，但当前真实模型调用仍以非流式方式完成，用户端 SSE 分块由后端模拟输出。
+- 不同供应商的费用、限流、区域和模型上下文窗口仍需要运营配置时自行确认。
+- `extra_params` 由后台人员自行维护，系统只校验 JSON 对象格式，不校验供应商语义。
+
+## 本次验证
+
+- 后端编译检查：通过。
+- 后端 OpenAPI 检查：通过，当前 `paths` 数量为 34。
+- Alembic MySQL 静态 SQL 检查：通过，迁移 SQL 生成成功。
+- 用户端 H5 构建：通过。
+- 管理后台构建：通过。
+- Docker Compose 配置检查：通过。
+- `git diff --check`：通过。
+
+说明：管理后台构建仍有 Vite chunk size 提示，原因是当前阶段 Element Plus 整体引入，属于已记录的阶段性取舍，不影响本次功能可用性。
+
+## 后续建议
+
+1. 接入生产前补充密钥加密或密钥引用机制。
+2. 增加“复制模型配置”能力，方便按环境复制供应商参数。
+3. 增加模型测试结果记录，便于排查某个供应商近期是否不稳定。
+4. 接入真实流式模型后，再把 `stream_enabled` 从配置字段升级为真实调用策略。
--- a/ai_knowledge_base_v2/development_records/README.md
+++ b/ai_knowledge_base_v2/development_records/README.md
@@ -33,4 +33,5 @@
 | `2026-07-06-phase4-rag-external-services.md` | 阶段四 RAG 和外部服务接入骨架记录。 |
 | `2026-07-06-phase5-admin-console.md` | 阶段五管理后台记录。 |
 | `2026-07-07-admin-chat-records-completion.md` | 管理后台聊天记录补齐记录。 |
+| `2026-07-07-model-management-completion.md` | 管理后台模型管理补全记录。 |
 | `../test_records/2026-07-06-phase6-verification.md` | 阶段六验证记录。 |