更新接口

backend/app/api/endpoints/meetings.py

@@ -517,6 +517,7 @@ async def upload_audio(
     meeting_id: int = Form(...),
     auto_summarize: str = Form("true"),
     prompt_id: Optional[int] = Form(None),  # 可选的提示词模版ID
+    model_code: Optional[str] = Form(None),  # 可选的总结模型编码
     background_tasks: BackgroundTasks = None,
     current_user: dict = Depends(get_current_user)
 ):
@@ -530,6 +531,7 @@ async def upload_audio(
         meeting_id: 会议ID
         auto_summarize: 是否自动生成总结（"true"/"false"，默认"true"）
         prompt_id: 提示词模版ID（可选，如果不指定则使用默认模版）
+        model_code: 总结模型编码（可选，如果不指定则使用默认模型）
         background_tasks: FastAPI后台任务
         current_user: 当前登录用户
 
@@ -539,6 +541,8 @@ async def upload_audio(
     """
     auto_summarize_bool = auto_summarize.lower() in ("true", "1", "yes")
 
+    model_code = model_code.strip() if model_code else None
+
     # 0. 如果没有传入 prompt_id，尝试获取默认模版ID
     if prompt_id is None:
         with get_db_connection() as connection:
@@ -599,6 +603,7 @@ async def upload_audio(
         auto_summarize=auto_summarize_bool,
         background_tasks=background_tasks,
         prompt_id=prompt_id,
+        model_code=model_code,
         duration=audio_duration  # 传递时长参数
     )
 
@@ -632,6 +637,7 @@ async def upload_audio(
             "task_id": transcription_task_id,
             "transcription_started": transcription_task_id is not None,
             "auto_summarize": auto_summarize_bool,
+            "model_code": model_code,
             "replaced_existing": result["replaced_existing"],
             "previous_transcription_cleared": result["replaced_existing"] and result["has_transcription"]
         }
@@ -942,7 +948,7 @@ def list_active_llm_models(current_user: dict = Depends(get_current_user)):
                 "SELECT model_code, model_name, provider, is_default FROM llm_model_config WHERE is_active = 1 ORDER BY is_default DESC, model_code ASC"
             )
             models = cursor.fetchall()
-            return create_api_response(code="200", message="获取模型列表成功", data={"models": models})
+            return create_api_response(code="200", message="获取模型列表成功", data=models)
     except Exception as e:
         return create_api_response(code="500", message=f"获取模型列表失败: {str(e)}")
 @router.get("/meetings/{meeting_id}/navigation")

backend/app/services/async_meeting_service.py

@@ -127,7 +127,13 @@ class AsyncMeetingService:
             self._update_task_in_db(task_id, 'failed', 0, error_message=error_msg)
             self._update_task_status_in_redis(task_id, 'failed', 0, error_message=error_msg)
 
-    def monitor_and_auto_summarize(self, meeting_id: int, transcription_task_id: str, prompt_id: Optional[int] = None):
+    def monitor_and_auto_summarize(
+        self,
+        meeting_id: int,
+        transcription_task_id: str,
+        prompt_id: Optional[int] = None,
+        model_code: Optional[str] = None
+    ):
         """
         监控转录任务，完成后自动生成总结
         此方法设计为由BackgroundTasks调用，在后台运行
@@ -136,13 +142,14 @@ class AsyncMeetingService:
             meeting_id: 会议ID
             transcription_task_id: 转录任务ID
             prompt_id: 提示词模版ID（可选，如果不指定则使用默认模版）
+            model_code: 总结模型编码（可选，如果不指定则使用默认模型）
 
         流程:
             1. 循环轮询转录任务状态
             2. 转录成功后自动启动总结任务
             3. 转录失败或超时则停止轮询并记录日志
         """
-        print(f"[Monitor] Started monitoring transcription task {transcription_task_id} for meeting {meeting_id}, prompt_id: {prompt_id}")
+        print(f"[Monitor] Started monitoring transcription task {transcription_task_id} for meeting {meeting_id}, prompt_id: {prompt_id}, model_code: {model_code}")
 
         # 获取配置参数
         poll_interval = TRANSCRIPTION_POLL_CONFIG['poll_interval']
@@ -178,7 +185,12 @@ class AsyncMeetingService:
                         else:
                             # 启动总结任务
                             try:
-                                summary_task_id = self.start_summary_generation(meeting_id, user_prompt="", prompt_id=prompt_id)
+                                summary_task_id = self.start_summary_generation(
+                                    meeting_id,
+                                    user_prompt="",
+                                    prompt_id=prompt_id,
+                                    model_code=model_code
+                                )
                                 print(f"[Monitor] Summary task {summary_task_id} started for meeting {meeting_id}")
 
                                 # 在后台执行总结任务

backend/app/services/audio_service.py

@@ -25,6 +25,7 @@ def handle_audio_upload(
     auto_summarize: bool = True,
     background_tasks: BackgroundTasks = None,
     prompt_id: int = None,
+    model_code: str = None,
     duration: int = 0
 ) -> dict:
     """
@@ -46,6 +47,7 @@ def handle_audio_upload(
         auto_summarize: 是否自动生成总结（默认True）
         background_tasks: FastAPI 后台任务对象
         prompt_id: 提示词模版ID（可选，如果不指定则使用默认模版）
+        model_code: 总结模型编码（可选，如果不指定则使用默认模型）
         duration: 音频时长（秒）
 
     Returns:
@@ -58,7 +60,7 @@ def handle_audio_upload(
             "has_transcription": bool     # 原来是否有转录记录 (成功时)
         }
     """
-    print(f"[Audio Service] handle_audio_upload called - Meeting ID: {meeting_id}, Auto-summarize: {auto_summarize}, Received prompt_id: {prompt_id}, Type: {type(prompt_id)}")
+    print(f"[Audio Service] handle_audio_upload called - Meeting ID: {meeting_id}, Auto-summarize: {auto_summarize}, Received prompt_id: {prompt_id}, model_code: {model_code}")
 
     # 1. 权限和已有文件检查
     try:
@@ -145,9 +147,10 @@ def handle_audio_upload(
                     async_meeting_service.monitor_and_auto_summarize,
                     meeting_id,
                     transcription_task_id,
-                    prompt_id  # 传递 prompt_id 给自动总结监控任务
+                    prompt_id,
+                    model_code
                 )
-                print(f"[audio_service] Auto-summarize enabled, monitor task added for meeting {meeting_id}, prompt_id: {prompt_id}")
+                print(f"[audio_service] Auto-summarize enabled, monitor task added for meeting {meeting_id}, prompt_id: {prompt_id}, model_code: {model_code}")
 
         except Exception as e:
             print(f"Failed to start transcription: {e}")

frontend/src/pages/MeetingDetails.jsx

@@ -179,7 +179,7 @@ const MeetingDetails = ({ user }) => {
   const fetchLlmModels = async () => {
     try {
       const res = await apiClient.get(buildApiUrl(API_ENDPOINTS.MEETINGS.LLM_MODELS));
-      const models = res.data.models || [];
+      const models = Array.isArray(res.data) ? res.data : (res.data?.models || []);
       setLlmModels(models);
       const def = models.find(m => m.is_default);
       if (def) setSelectedModelCode(def.model_code);