Upload 3 files

app.py

@@ -707,18 +707,27 @@ def generate_trace_id():
 def send_message(message, model, think=False):
     """Flua traktado kaj plusendo de mesaĝoj"""
     global DELETE_CHAT, LAST_CONVERSATION_IDS
+    print("\n===== 开始处理消息 =====")
+    print(f"模型: {model}")
+    print(f"思考模式: {think}")
+    
     (session, cookies, session_token, conversation_id, model_map, user_index) = get_user_data()
+    print(f"使用用户配置: {user_index + 1}")
     
     # 获取并保存当前的conversation_id（可能是旧的，用于稍后删除）
     last_conversation_id = conversation_id
     
     # 确保有有效的会话ID
     conversation_id = get_or_create_conversation(session, cookies, session_token, conversation_id, model_map, model, user_index)
+    print(f"会话ID: {conversation_id}")
     
     trace_id, sentry_trace = generate_trace_id()
     
     # 计算输入token
+    print("\n----- 计算输入token -----")
     prompt_tokens, calculation_method = num_tokens_from_string(message, model)
+    print(f"输入token数: {prompt_tokens}")
+    print(f"计算方法: {calculation_method}")
     completion_buffer = io.StringIO()  # 收集所有输出用于计算token
     
     headers = {
@@ -851,18 +860,27 @@ def send_message(message, model, think=False):
 def send_message_non_stream(message, model, think=False):
     """Ne-flua traktado de mesaĝoj"""
     global DELETE_CHAT, LAST_CONVERSATION_IDS
+    print("\n===== 开始处理消息（非流式） =====")
+    print(f"模型: {model}")
+    print(f"思考模式: {think}")
+    
     (session, cookies, session_token, conversation_id, model_map, user_index) = get_user_data()
+    print(f"使用用户配置: {user_index + 1}")
     
     # 获取并保存当前的conversation_id（可能是旧的，用于稍后删除）
     last_conversation_id = conversation_id
     
     # 确保有有效的会话ID
     conversation_id = get_or_create_conversation(session, cookies, session_token, conversation_id, model_map, model, user_index)
+    print(f"会话ID: {conversation_id}")
     
     trace_id, sentry_trace = generate_trace_id()
     
     # 计算输入token
+    print("\n----- 计算输入token -----")
     prompt_tokens, calculation_method = num_tokens_from_string(message, model)
+    print(f"输入token数: {prompt_tokens}")
+    print(f"计算方法: {calculation_method}")
     
     headers = {
         "accept": "text/event-stream",