From 0126b0c6611de7431176674a5207bbf606b36aa6 Mon Sep 17 00:00:00 2001
From: let5sne <let5sne@gmail.com>
Date: Fri, 3 Jul 2026 02:08:08 +0800
Subject: [PATCH] feat(aihr): add siliconflow embedding provider

---
 .../aihr/service/AihrModelSeedService.java    |  6 ++-
 frontend/src/views/system/model/index.vue     | 44 ++++++++++++++++++-
 2 files changed, 46 insertions(+), 4 deletions(-)

diff --git a/backend/ruoyi-modules/ruoyi-aihr/src/main/java/org/dromara/aihr/service/AihrModelSeedService.java b/backend/ruoyi-modules/ruoyi-aihr/src/main/java/org/dromara/aihr/service/AihrModelSeedService.java
index 1874b72f..f9c5def4 100644
--- a/backend/ruoyi-modules/ruoyi-aihr/src/main/java/org/dromara/aihr/service/AihrModelSeedService.java
+++ b/backend/ruoyi-modules/ruoyi-aihr/src/main/java/org/dromara/aihr/service/AihrModelSeedService.java
@@ -59,7 +59,8 @@ public class AihrModelSeedService {
             new ProviderResponse(-2L, "DeepSeek", "deepseek", "DeepSeek 官方 API", "https://api.deepseek.com", "0", 1, "ruoyi-ai", false),
             new ProviderResponse(-3L, "智谱 AI", "zhipu", "智谱 AI 大模型服务", "https://open.bigmodel.cn", "0", 2, "ruoyi-ai", false),
             new ProviderResponse(-4L, "阿里云百炼", "qianwen", "阿里云百炼大模型服务", "https://dashscope.aliyuncs.com/compatible-mode/v1", "0", 3, "ruoyi-ai", false),
-            new ProviderResponse(-5L, "Ollama", "ollama", "本地 Ollama 服务", "http://127.0.0.1:11434/v1", "0", 4, "ruoyi-ai", false)
+            new ProviderResponse(-5L, "Ollama", "ollama", "本地 Ollama 服务", "http://127.0.0.1:11434/v1", "0", 4, "ruoyi-ai", false),
+            new ProviderResponse(-6L, "硅基流动", "siliconflow", "硅基流动 OpenAI 兼容接口", "https://api.siliconflow.cn/v1", "0", 5, "seed", false)
         );
     }
 
@@ -67,7 +68,8 @@ public class AihrModelSeedService {
         return List.of(
             new ConfigResponse(-1L, "chat", DEFAULT_MODEL, DEFAULT_PROVIDER, "Demo 对话与 RAG 生成模型", null, "Y", null, true, false, false),
             new ConfigResponse(-2L, "vector", "embedding-3", "zhipu", "后续用于知识片段向量化", 2048, "N", null, false, false, false),
-            new ConfigResponse(-3L, "rerank", "rerank", "zhipu", "后续用于召回片段重排序", null, "N", null, false, false, false)
+            new ConfigResponse(-3L, "rerank", "rerank", "zhipu", "后续用于召回片段重排序", null, "N", null, false, false, false),
+            new ConfigResponse(-4L, "vector", "BAAI/bge-m3", "siliconflow", "硅基流动 bge-m3，用于知识片段向量化", 1024, "N", null, false, false, false)
         );
     }
 
diff --git a/frontend/src/views/system/model/index.vue b/frontend/src/views/system/model/index.vue
index 33681986..43a3f055 100644
--- a/frontend/src/views/system/model/index.vue
+++ b/frontend/src/views/system/model/index.vue
@@ -298,6 +298,18 @@ const seedProviders: ProviderView[] = [
     source: 'seed',
     configured: false,
     logo: 'OL'
+  },
+  {
+    id: -6,
+    providerName: '硅基流动',
+    providerCode: 'siliconflow',
+    providerDesc: '硅基流动 OpenAI 兼容接口',
+    apiHost: 'https://api.siliconflow.cn/v1',
+    status: '0',
+    sortOrder: 5,
+    source: 'seed',
+    configured: false,
+    logo: 'SF'
   }
 ];
 
@@ -350,6 +362,19 @@ const seedModels: ModelConfig[] = [
     enabled: false,
     apiKeyConfigured: false,
     configured: false
+  },
+  {
+    id: -5,
+    category: 'vector',
+    modelName: 'BAAI/bge-m3',
+    providerCode: 'siliconflow',
+    modelDescribe: '硅基流动 bge-m3，用于知识片段向量化',
+    modelDimension: 1024,
+    modelShow: 'N',
+    apiHost: '',
+    enabled: false,
+    apiKeyConfigured: false,
+    configured: false
   }
 ];
 
@@ -421,13 +446,23 @@ const providerTag = (provider: ProviderView) => {
 const normalizeProviders = (items: ModelProvider[]): ProviderView[] => {
   if (!items.length) return seedProviders;
   const seedMap = new Map(seedProviders.map((item) => [item.providerCode, item]));
-  return items.map((item) => {
+  const rows = items.map((item) => {
     const seed = seedMap.get(item.providerCode);
     return {
       ...item,
       logo: seed?.logo ?? item.providerName.slice(0, 2).toUpperCase()
     };
   });
+  const existingCodes = new Set(rows.map((item) => item.providerCode));
+  return [...rows, ...seedProviders.filter((item) => !existingCodes.has(item.providerCode))];
+};
+
+const modelKey = (item: ModelConfig) => `${item.category}:${item.providerCode}:${item.modelName}`;
+
+const normalizeModels = (items: ModelConfig[]): ModelConfig[] => {
+  if (!items.length) return seedModels;
+  const existingKeys = new Set(items.map(modelKey));
+  return [...items, ...seedModels.filter((item) => !existingKeys.has(modelKey(item)))];
 };
 
 const loadData = async (preferredProviderCode = selectedProviderCode.value) => {
@@ -435,7 +470,7 @@ const loadData = async (preferredProviderCode = selectedProviderCode.value) => {
   try {
     const [providerResult, configResult] = await Promise.all([getModelProviders(), getModelConfigs()]);
     providers.value = normalizeProviders(providerResult.data ?? []);
-    modelRows.value = configResult.data?.length ? configResult.data : seedModels;
+    modelRows.value = normalizeModels(configResult.data ?? []);
     selectedProviderCode.value =
       providers.value.find((item) => item.providerCode === preferredProviderCode)?.providerCode ?? providers.value[0]?.providerCode ?? 'deepseek';
   } catch {
@@ -751,6 +786,11 @@ onMounted(loadData);
   color: #334155;
 }
 
+.logo-siliconflow {
+  background: #f3e8ff;
+  color: #6d28d9;
+}
+
 .provider-text {
   min-width: 0;