diff --git a/src/main/java/cn/van/business/util/ds/SocialMediaLlmClient.java b/src/main/java/cn/van/business/util/ds/SocialMediaLlmClient.java
index 0aa225f..d9481d5 100644
--- a/src/main/java/cn/van/business/util/ds/SocialMediaLlmClient.java
+++ b/src/main/java/cn/van/business/util/ds/SocialMediaLlmClient.java
@@ -4,6 +4,8 @@ import cn.hutool.core.util.StrUtil;
 import cn.hutool.http.HttpRequest;
 import cn.hutool.http.HttpResponse;
 import cn.hutool.http.Method;
+import com.alibaba.fastjson2.JSON;
+import com.alibaba.fastjson2.JSONObject;
 import com.fasterxml.jackson.databind.JsonNode;
 import com.fasterxml.jackson.databind.ObjectMapper;
 import org.springframework.beans.factory.annotation.Autowired;
@@ -15,8 +17,8 @@ import java.util.HashMap;
 import java.util.Map;
 
 /**
- * 社媒文案/关键词所用大模型客户端：支持本地 Ollama 或与 OpenAI 兼容的 HTTP 接口（含远程 API、Ollama /v1 等）。
- * 配置存 Redis，与若依后台「大模型接入」一致；未配置时走 {@link OllamaClientUtil} 的 yml 默认。
+ * 社媒文案/关键词所用大模型客户端：支持本地 Ollama 或与 OpenAI 兼容的 HTTP 接口。
+ * 多套配置存 Redis（JSON），通过 activeId 选择当前使用的一套；无激活或空存储时走 {@link OllamaClientUtil} 的 yml 默认。
  */
 @Component
 public class SocialMediaLlmClient {
@@ -24,6 +26,7 @@ public class SocialMediaLlmClient {
     private static final org.slf4j.Logger log = org.slf4j.LoggerFactory.getLogger(SocialMediaLlmClient.class);
     private static final ObjectMapper objectMapper = new ObjectMapper();
 
+    private static final String LLM_PROFILES_STORE_KEY = "social_media:llm:profiles_store";
     private static final String KEY_MODE = "social_media:llm:mode";
     private static final String KEY_BASE_URL = "social_media:llm:base_url";
     private static final String KEY_API_KEY = "social_media:llm:api_key";
@@ -43,28 +46,77 @@ public class SocialMediaLlmClient {
             return ollamaClientUtil.getResponse(inputText);
         }
 
-        String mode = trimOrNull(redisTemplate.opsForValue().get(KEY_MODE));
-        String baseUrl = trimOrNull(redisTemplate.opsForValue().get(KEY_BASE_URL));
-        String apiKey = trimOrNull(redisTemplate.opsForValue().get(KEY_API_KEY));
-        String model = trimOrNull(redisTemplate.opsForValue().get(KEY_MODEL));
-
-        if (mode == null && baseUrl == null && model == null && apiKey == null) {
+        ResolvedLlm cfg = resolveConfig();
+        if (cfg == null) {
             return ollamaClientUtil.getResponse(inputText);
         }
 
-        String effectiveMode = mode != null ? mode.toLowerCase() : MODE_OLLAMA;
+        String effectiveMode = cfg.mode != null ? cfg.mode.toLowerCase() : MODE_OLLAMA;
 
         if (MODE_OPENAI.equals(effectiveMode)) {
-            if (StrUtil.isBlank(baseUrl)) {
+            if (StrUtil.isBlank(cfg.baseUrl)) {
                 throw new IOException("OpenAI 兼容模式需在后台配置完整的 Chat Completions 地址");
             }
-            if (StrUtil.isBlank(model)) {
+            if (StrUtil.isBlank(cfg.model)) {
                 throw new IOException("OpenAI 兼容模式需在后台配置模型名称");
             }
-            return callOpenAiCompatible(baseUrl, apiKey, model, inputText);
+            return callOpenAiCompatible(cfg.baseUrl, cfg.apiKey, cfg.model, inputText);
         }
 
-        return ollamaClientUtil.getResponse(inputText, baseUrl, model);
+        return ollamaClientUtil.getResponse(inputText, cfg.baseUrl, cfg.model);
+    }
+
+    private ResolvedLlm resolveConfig() {
+        try {
+            String raw = redisTemplate.opsForValue().get(LLM_PROFILES_STORE_KEY);
+            if (StrUtil.isNotBlank(raw)) {
+                JSONObject store = JSON.parseObject(raw);
+                if (store != null) {
+                    String activeId = store.getString("activeId");
+                    if (StrUtil.isBlank(activeId)) {
+                        return null;
+                    }
+                    JSONObject profiles = store.getJSONObject("profiles");
+                    if (profiles == null || profiles.isEmpty()) {
+                        return null;
+                    }
+                    JSONObject p = profiles.getJSONObject(activeId);
+                    if (p == null) {
+                        log.warn("大模型 activeId={} 在 profiles 中不存在", activeId);
+                        return null;
+                    }
+                    ResolvedLlm r = new ResolvedLlm();
+                    r.mode = trimOrNull(p.getString("mode"));
+                    if (r.mode == null) {
+                        r.mode = MODE_OLLAMA;
+                    }
+                    r.baseUrl = trimOrNull(p.getString("baseUrl"));
+                    r.model = trimOrNull(p.getString("model"));
+                    r.apiKey = trimOrNull(p.getString("apiKey"));
+                    return r;
+                }
+            }
+        } catch (Exception e) {
+            log.warn("解析多套 LLM 配置失败，尝试旧版单键: {}", e.getMessage());
+        }
+        return resolveLegacySingleKeys();
+    }
+
+    /** 兼容尚未迁移的旧版 Redis 四键 */
+    private ResolvedLlm resolveLegacySingleKeys() {
+        String mode = trimOrNull(redisTemplate.opsForValue().get(KEY_MODE));
+        String baseUrl = trimOrNull(redisTemplate.opsForValue().get(KEY_BASE_URL));
+        String model = trimOrNull(redisTemplate.opsForValue().get(KEY_MODEL));
+        String apiKey = trimOrNull(redisTemplate.opsForValue().get(KEY_API_KEY));
+        if (mode == null && baseUrl == null && model == null && apiKey == null) {
+            return null;
+        }
+        ResolvedLlm r = new ResolvedLlm();
+        r.mode = mode != null ? mode : MODE_OLLAMA;
+        r.baseUrl = baseUrl;
+        r.model = model;
+        r.apiKey = apiKey;
+        return r;
     }
 
     private static String trimOrNull(String s) {
@@ -112,4 +164,11 @@ public class SocialMediaLlmClient {
         }
         return choices.get(0).path("message").path("content").asText();
     }
+
+    private static final class ResolvedLlm {
+        String mode;
+        String baseUrl;
+        String model;
+        String apiKey;
+    }
 }