fix: Distinguish between Embedding and Chat detection methods

Author: lyingbug

frontend/src/views/initialization/InitializationConfig.vue

@@ -282,7 +282,7 @@
                                             name="refresh" 
                                             class="refresh-icon" 
                                             :class="{ spinning: modelStatus.embedding.checking }"
-                                            @click="checkRemoteModelStatus('embedding')" 
+                                            @click="checkEmbeddingModelStatus()" 
                                         />
                                     </t-tooltip>
                                     <t-icon 
@@ -1422,7 +1422,7 @@ const onModelNameInput = (type: 'llm' | 'embedding' | 'vlm') => {
             if (type === 'llm' && formData.llm.source === 'remote' && formData.llm.baseUrl) {
                 await checkRemoteModelStatus('llm');
             } else if (type === 'embedding' && formData.embedding.source === 'remote' && formData.embedding.baseUrl) {
-                await checkRemoteModelStatus('embedding');
+                await checkEmbeddingModelStatus();
             } else if (type === 'vlm' && !isVlmOllama.value) {
                 // VLM远程API校验可以在这里添加
             }
@@ -1465,7 +1465,11 @@ const onRemoteConfigChange = async (type: 'llm' | 'embedding') => {
     
     // 如果配置完整，检查模型
     if (formData[type].modelName && formData[type].baseUrl) {
-        await checkRemoteModelStatus(type);
+        if (type === 'llm') {
+            await checkRemoteModelStatus(type);
+        } else if (type === 'embedding') {
+            await checkEmbeddingModelStatus();
+        }
     }
 };
 
@@ -1492,13 +1496,17 @@ const onRemoteConfigInput = async (type: 'llm' | 'embedding') => {
             form.value?.validate([`${type}.modelName`, `${type}.baseUrl`]);
             
             // 自动检查远程API模型状态
-            await checkRemoteModelStatus(type);
+            if (type === 'llm') {
+                await checkRemoteModelStatus(type);
+            } else if (type === 'embedding') {
+                await checkEmbeddingModelStatus();
+            }
         }
     }, 500); // 500ms防抖延迟
 };
 
 // 检查远程模型
-const checkRemoteModelStatus = async (type: 'llm' | 'embedding') => {
+const checkRemoteModelStatus = async (type: 'llm') => {
     if (!formData[type].modelName || !formData[type].baseUrl) {
         return;
     }
@@ -1752,15 +1760,8 @@ onMounted(async () => {
     // 加载当前配置
     await loadCurrentConfig();
 
-    // 检查Ollama状态
-    const needOllamaCheck = 
-        formData.llm.source === 'local' || 
-        formData.embedding.source === 'local' || 
-        (formData.multimodal.enabled && formData.multimodal.vlm.interfaceType === 'ollama');
-    
-    if (needOllamaCheck) {
-        await refreshOllamaSummary();
-    }
+    // 总是检查Ollama状态，因为这是独立于具体配置的
+    await refreshOllamaSummary();
     
     // 检查已配置模型状态
     await checkAllConfiguredModels();
@@ -2220,7 +2221,7 @@ const checkAllConfiguredModels = async () => {
         if (formData.embedding.source === 'local' && formData.embedding.modelName && ollamaStatus.available) {
             await checkAllOllamaModels();
         } else if (formData.embedding.source === 'remote' && formData.embedding.modelName && formData.embedding.baseUrl) {
-            await checkRemoteModelStatus('embedding');
+            await checkEmbeddingModelStatus();
         }
     }
     
@@ -2243,6 +2244,51 @@ const onDimensionInput = (event: any) => {
     formData.embedding.dimension = Number(event.target.value);
 };
 
+// 检查Embedding模型状态
+const checkEmbeddingModelStatus = async () => {
+    if (!formData.embedding.modelName) {
+        return;
+    }
+    
+    try {
+        modelStatus.embedding.checking = true;
+        modelStatus.embedding.checked = false;
+        modelStatus.embedding.available = false;
+        modelStatus.embedding.message = '';
+        
+        const result = await testEmbeddingModel({
+            source: formData.embedding.source as 'local' | 'remote',
+            modelName: formData.embedding.modelName,
+            baseUrl: formData.embedding.source === 'remote' ? formData.embedding.baseUrl : undefined,
+            apiKey: formData.embedding.apiKey || undefined,
+            dimension: formData.embedding.dimension || undefined,
+        });
+        
+        modelStatus.embedding.checked = true;
+        modelStatus.embedding.available = result.available || false;
+        modelStatus.embedding.message = result.message || '';
+        
+        // 如果检测到维度信息，自动更新
+        if (result.available && result.dimension && result.dimension > 0) {
+            formData.embedding.dimension = result.dimension;
+        }
+        
+        // 触发表单验证
+        setTimeout(() => {
+            form.value?.validate(['embedding.modelName']);
+        }, 100);
+        
+    } catch (error) {
+        console.error('检查Embedding模型失败:', error);
+        modelStatus.embedding.checked = true;
+        modelStatus.embedding.available = false;
+        const err = error as any;
+        modelStatus.embedding.message = (err && err.message) || '检查失败';
+    } finally {
+        modelStatus.embedding.checking = false;
+    }
+};
+
 // 检测并自动填写 Embedding 维度
 const detectEmbeddingDimension = async () => {
     if (hasFiles.value) return;

scripts/start_all.sh

@@ -30,6 +30,7 @@ show_help() {
     echo "  -r, --restart  重新构建并重启指定容器"
     echo "  -l, --list     列出所有正在运行的容器"
     echo "  -p, --pull     拉取最新的Docker镜像"
+    echo "  --no-pull      启动时不拉取镜像（默认会拉取）"
     echo "  -v, --version  显示版本信息"
     exit 0
 }
@@ -333,8 +334,16 @@ start_docker() {
 
     # 启动基本服务
     log_info "启动核心服务容器..."
-	# 统一通过已检测到的 Compose 命令启动，添加 --pull always 确保使用最新镜像
-	PLATFORM=$PLATFORM "$DOCKER_COMPOSE_BIN" $DOCKER_COMPOSE_SUBCMD up --build --pull always -d
+	# 统一通过已检测到的 Compose 命令启动
+	if [ "$NO_PULL" = true ]; then
+		# 不拉取镜像，使用本地镜像
+		log_info "跳过镜像拉取，使用本地镜像..."
+		PLATFORM=$PLATFORM "$DOCKER_COMPOSE_BIN" $DOCKER_COMPOSE_SUBCMD up --build -d
+	else
+		# 拉取最新镜像
+		log_info "拉取最新镜像..."
+		PLATFORM=$PLATFORM "$DOCKER_COMPOSE_BIN" $DOCKER_COMPOSE_SUBCMD up --build --pull always -d
+	fi
     if [ $? -ne 0 ]; then
         log_error "Docker容器启动失败"
         return 1
@@ -564,6 +573,7 @@ CHECK_ENVIRONMENT=false
 LIST_CONTAINERS=false
 RESTART_CONTAINER=false
 PULL_IMAGES=false
+NO_PULL=false
 CONTAINER_NAME=""
 
 # 没有参数时默认启动所有服务
@@ -591,6 +601,10 @@ while [ "$1" != "" ]; do
                             ;;
         -p | --pull )       PULL_IMAGES=true
                             ;;
+        --no-pull )         NO_PULL=true
+                            START_OLLAMA=true
+                            START_DOCKER=true
+                            ;;
         -r | --restart )    RESTART_CONTAINER=true
                             CONTAINER_NAME="$2"
                             shift