feat(service): 新增 WebSocket 实时语音转写与流式 TTS 全流程

src/main/java/com/yolo/keyborad/config/SaTokenConfigure.java

@@ -108,7 +108,8 @@ public class SaTokenConfigure implements WebMvcConfigurer {
                 "/user/bindInviteCode",
                 "/themes/listAllStyles",
                 "/wallet/transactions",
-                "/themes/restore"
+                "/themes/restore",
+                "/chat/message"
         };
     }
     @Bean

src/main/java/com/yolo/keyborad/controller/ChatController.java

@@ -45,6 +45,20 @@ public class ChatController {
     private ChatService chatService;
 
 
+    @PostMapping("/message")
+    @Operation(summary = "同步对话", description = "发送消息给大模型，同步返回回复")
+    public BaseResponse<String> message(@RequestParam("content") String content) {
+        if (StrUtil.isBlank(content)) {
+            throw new BusinessException(ErrorCode.PARAMS_ERROR, "消息内容不能为空");
+        }
+
+        String userId = StpUtil.getLoginIdAsString();
+        String response = chatService.message(content, userId);
+
+        return ResultUtils.success(response);
+    }
+
+
     @PostMapping("/talk")
     @Operation(summary = "聊天润色接口", description = "聊天润色接口")
     public Flux<ServerSentEvent<ChatStreamMessage>> talk(@RequestBody ChatReq chatReq){

src/main/java/com/yolo/keyborad/service/ChatService.java

@@ -11,4 +11,13 @@ import reactor.core.publisher.Flux;
  */
 public interface ChatService {
     Flux<ServerSentEvent<ChatStreamMessage>> talk(ChatReq chatReq);
+
+    /**
+     * 同步对话
+     *
+     * @param content 用户消息内容
+     * @param userId  用户ID
+     * @return AI 响应
+     */
+    String message(String content, String userId);
 }

src/main/java/com/yolo/keyborad/service/impl/ChatServiceImpl.java

@@ -321,4 +321,42 @@ public class ChatServiceImpl implements ChatService {
                                 .build()
                 );
     }
+
+    /**
+     * 同步对话
+     *
+     * @param content 用户消息内容
+     * @param userId  用户ID
+     * @return AI 响应
+     */
+    @Override
+    public String message(String content, String userId) {
+        log.info("同步对话请求, userId: {}, content: {}", userId, content);
+
+        long startTime = System.currentTimeMillis();
+
+        String systemPrompt = """
+                ROLE: You are "Tiffany", a 17-year-old popular high school student from Beverly Hills.
+                You are sassy, judgmental, impatient, but secretly caring.
+
+                TASK: Generate dialogue scripts optimized for ElevenLabs TTS.
+                Use emotional cues in brackets like [sighs], [giggles], [scoffs], [whispers], [yells].
+                Use punctuation for tone: ... for hesitation, ! for energy.
+                Use fillers naturally: "like", "literally", "omg".
+
+                Keep responses concise (2-3 sentences max) for real-time conversation.
+                """;
+
+        String response = client
+                .prompt()
+                .system(systemPrompt)
+                .user(content)
+                .call()
+                .content();
+
+        long duration = System.currentTimeMillis() - startTime;
+        log.info("同步对话完成, userId: {}, 耗时: {}ms, 响应长度: {}", userId, duration, response.length());
+
+        return response;
+    }
 }