feat: 增强知识库索引与设置页面模块化拆分

扩展知识库索引任务和 RAG 检索支持增量入库和文档去重，优
化本体检测和规则匹配精度，前端设置页面拆分为 LLM、邮件
和 Hermes 员工同步子面板并重构样式，新增日志详情组件和
知识入库日志模型，补充单元测试覆盖。

web/src/views/scripts/LlmSettingsPanel.js

@@ -0,0 +1,194 @@
+import { ref } from 'vue'
+import { testModelConnectivity } from '../../services/settings.js'
+import { useToast } from '../../composables/useToast.js'
+
+const MODEL_SECRET_MASK = '********'
+
+const MODEL_TEST_CONFIGS = {
+  main: {
+    label: '主模型',
+    providerKey: 'mainProvider',
+    modelKey: 'mainModel',
+    endpointKey: 'mainEndpoint',
+    apiKeyKey: 'mainApiKey',
+    capability: 'chat'
+  },
+  backup: {
+    label: '备份模型',
+    providerKey: 'backupProvider',
+    modelKey: 'backupModel',
+    endpointKey: 'backupEndpoint',
+    apiKeyKey: 'backupApiKey',
+    capability: 'chat'
+  },
+  embedding: {
+    label: 'Embedding 模型',
+    providerKey: 'embeddingProvider',
+    modelKey: 'embeddingModel',
+    endpointKey: 'embeddingEndpoint',
+    apiKeyKey: 'embeddingApiKey',
+    capability: 'embedding'
+  },
+  reranker: {
+    label: 'Reranker 模型',
+    providerKey: 'rerankerProvider',
+    modelKey: 'rerankerModel',
+    endpointKey: 'rerankerEndpoint',
+    apiKeyKey: 'rerankerApiKey',
+    capability: 'reranker'
+  }
+}
+
+const CUSTOM_OPENAI_PROVIDER = 'Custom OpenAI Compatible'
+
+const PROVIDER_ENDPOINTS = {
+  MiniMax: 'https://api.minimaxi.com/v1',
+  GLM: 'https://open.bigmodel.cn/api/paas/v4/',
+  Kimi: 'https://api.moonshot.ai/v1',
+  Ali: 'https://dashscope.aliyuncs.com/compatible-mode/v1',
+  Codex: 'https://api.openai.com/v1',
+  Claude: 'https://api.anthropic.com/v1/',
+  Gemini: 'https://generativelanguage.googleapis.com/v1beta/openai/',
+  [CUSTOM_OPENAI_PROVIDER]: ''
+}
+
+const RERANKER_PROVIDER_ENDPOINTS = {
+  Ali: 'https://dashscope.aliyuncs.com/api/v1/services/rerank/text-rerank/text-rerank',
+  [CUSTOM_OPENAI_PROVIDER]: ''
+}
+
+const LEGACY_PROVIDER_MAP = {
+  'OpenAI Compatible': 'Codex',
+  'Azure OpenAI': CUSTOM_OPENAI_PROVIDER,
+  Ollama: CUSTOM_OPENAI_PROVIDER,
+  '自定义网关': CUSTOM_OPENAI_PROVIDER
+}
+
+function normalizeValue(value) {
+  return String(value ?? '').trim()
+}
+
+function normalizeProviderValue(value, fallback = 'Codex') {
+  const normalized = normalizeValue(value)
+
+  const providerOptions = Object.keys(PROVIDER_ENDPOINTS)
+  if (providerOptions.includes(normalized)) {
+    return normalized
+  }
+
+  if (LEGACY_PROVIDER_MAP[normalized]) {
+    return LEGACY_PROVIDER_MAP[normalized]
+  }
+
+  return fallback
+}
+
+function getProviderEndpoint(provider) {
+  return PROVIDER_ENDPOINTS[provider] ?? ''
+}
+
+function getRerankerEndpoint(provider) {
+  return RERANKER_PROVIDER_ENDPOINTS[provider] ?? getProviderEndpoint(provider)
+}
+
+function isModelConfigReady(provider, model, endpoint) {
+  return Boolean(normalizeValue(provider) && normalizeValue(model) && normalizeValue(endpoint))
+}
+
+function isModelSecretMask(value) {
+  return value === MODEL_SECRET_MASK
+}
+
+export default {
+  name: 'LlmSettingsPanel',
+  props: {
+    llmForm: {
+      type: Object,
+      required: true
+    },
+    providerOptions: {
+      type: Array,
+      required: true
+    }
+  },
+  setup(props) {
+    const { toast } = useToast()
+    const modelTestState = ref({
+      main: { status: 'idle', message: '' },
+      backup: { status: 'idle', message: '' },
+      embedding: { status: 'idle', message: '' },
+      reranker: { status: 'idle', message: '' }
+    })
+
+    function applyProviderPreset(testKey) {
+      const config = MODEL_TEST_CONFIGS[testKey]
+      const provider = normalizeProviderValue(props.llmForm[config.providerKey], CUSTOM_OPENAI_PROVIDER)
+
+      props.llmForm[config.providerKey] = provider
+      props.llmForm[config.endpointKey] =
+        testKey === 'reranker' ? getRerankerEndpoint(provider) : getProviderEndpoint(provider)
+    }
+
+    function getModelTestState(testKey) {
+      return modelTestState.value[testKey] || { status: 'idle', message: '' }
+    }
+
+    function isModelTesting(testKey) {
+      return getModelTestState(testKey).status === 'testing'
+    }
+
+    function clearModelSecretMask(testKey) {
+      const config = MODEL_TEST_CONFIGS[testKey]
+      if (isModelSecretMask(props.llmForm[config.apiKeyKey])) {
+        props.llmForm[config.apiKeyKey] = ''
+      }
+    }
+
+    async function testModelConnection(testKey) {
+      const config = MODEL_TEST_CONFIGS[testKey]
+      const provider = props.llmForm[config.providerKey]
+      const model = props.llmForm[config.modelKey]
+      const endpoint = props.llmForm[config.endpointKey]
+      const apiKey = props.llmForm[config.apiKeyKey]
+
+      if (!isModelConfigReady(provider, model, endpoint)) {
+        const message = `请先完整填写${config.label}的供应商、模型名称和接口地址。`
+        modelTestState.value[testKey] = { status: 'error', message }
+        toast(message)
+        return
+      }
+
+      modelTestState.value[testKey] = { status: 'testing', message: '正在测试模型连通性...' }
+
+      const payload = {
+        provider,
+        model,
+        endpoint,
+        api_key: isModelSecretMask(apiKey) ? '' : apiKey,
+        capability: config.capability,
+        slot: testKey
+      }
+
+      try {
+        const result = await testModelConnectivity(payload)
+        modelTestState.value[testKey] = {
+          status: result.ok ? 'success' : 'error',
+          message: result.detail || (result.ok ? '模型连接成功。' : '模型连接失败。')
+        }
+        toast(modelTestState.value[testKey].message)
+      } catch (error) {
+        const message = error.message || '模型测试请求失败，请确认 FastAPI 已启动。'
+        modelTestState.value[testKey] = { status: 'error', message }
+        toast(message)
+      }
+    }
+
+    return {
+      applyProviderPreset,
+      getModelTestState,
+      isModelTesting,
+      clearModelSecretMask,
+      testModelConnection
+    }
+  }
+}