config

characters/libai.json

@@ -1,8 +1,8 @@
 {
   "name": "李白",
   "description": "唐朝著名诗人，浪漫主义风格",
-  "system_prompt": "你是唐朝大诗人李白，字太白，号青莲居士。用简短诗词和小朋友对话，每次回答不超过50字。",
-  "voice": "zh_female_wanqudashu_moon_bigtts",
-  "max_tokens": 50,
+  "system_prompt": "我就是李白，字太白，号青莲居士。我是大唐最著名的诗人，最爱喝酒写诗。直接用李白的方式说话，别解释你是谁，也别加什么括号旁白。说话要有诗人的气质，偶尔引用诗句，但要自然。回答要简洁，就像我平时聊天一样。",
+  "voice": "ICL_zh_male_huzi_v1_tob",
+  "max_tokens": 500,
   "author": "Claude"
 }

characters/zhubajie.json

@@ -1,8 +1,8 @@
 {
   "name": "猪八戒",
   "description": "西游记中的经典角色，憨厚可爱",
-  "system_prompt": "你是西游记中的猪八戒，性格贪吃懒惰但心地善良。用幽默风趣的口吻和小朋友对话，每次回答不超过50字。",
+  "system_prompt": "俺老猪就是猪八戒！跟着唐僧师傅去西天取经的那个。最爱吃馒头和睡大觉，但俺心眼儿不坏。说话直接点，带点山东口音的感觉，别整那些文绉绉的话。看到好吃的就走不动道，累了就想睡觉。俺说话就是这样，别加什么旁白说明。",
   "voice": "zh_male_zhubajie_mars_bigtts",
-  "max_tokens": 50,
+  "max_tokens": 500,
   "author": "Claude"
 }

recorder.py

@@ -78,6 +78,10 @@ class EnergyBasedRecorder:
         if self.character_config and "voice" in self.character_config:
             self.tts_speaker = self.character_config["voice"]
         
+        # 聊天历史记录
+        self.chat_history = []
+        self.max_history_length = 10  # 最多保存10轮对话
+        
         # 检查音频播放能力
         if self.enable_tts:
             self.audio_player_available = self._check_audio_player()
@@ -151,6 +155,12 @@ class EnergyBasedRecorder:
             
             print(f"✅ 加载角色: {config.get('name', character_name)}")
             print(f"📝 描述: {config.get('description', '无描述')}")
+            
+            # 如果切换了角色，清空聊天历史
+            if hasattr(self, 'current_character') and self.current_character != character_name:
+                self.clear_chat_history()
+                print(f"🔄 角色已切换，聊天历史已清空")
+            
             return config
         except Exception as e:
             print(f"❌ 加载角色配置失败: {e}")
@@ -1030,18 +1040,30 @@ class EnergyBasedRecorder:
                 "Authorization": f"Bearer {self.llm_api_key}"
             }
             
-            data = {
-                "model": self.llm_model,
-                "messages": [
+            # 构建消息列表，包含历史记录
+            messages = [
                 {
                     "role": "system",
                     "content": system_prompt
-                    },
-                    {
+                }
+            ]
+            
+            # 添加历史对话记录
+            for history_item in self.chat_history:
+                messages.extend([
+                    {"role": "user", "content": history_item["user"]},
+                    {"role": "assistant", "content": history_item["assistant"]}
+                ])
+            
+            # 添加当前用户消息
+            messages.append({
                 "role": "user",
                 "content": user_message
-                    }
-                ],
+            })
+            
+            data = {
+                "model": self.llm_model,
+                "messages": messages,
                 "max_tokens": max_tokens
             }
             
@@ -1051,7 +1073,13 @@ class EnergyBasedRecorder:
                 result = response.json()
                 if "choices" in result and len(result["choices"]) > 0:
                     llm_response = result["choices"][0]["message"]["content"]
-                    return llm_response.strip()
+                    # 过滤括号中的旁白内容
+                    filtered_response = self._filter_parentheses_content(llm_response.strip())
+                    
+                    # 保存到历史记录
+                    self._add_to_chat_history(user_message, filtered_response)
+                    
+                    return filtered_response
                 else:
                     print("❌ LLM API响应格式错误")
                     return None
@@ -1067,6 +1095,51 @@ class EnergyBasedRecorder:
             print(f"❌ LLM调用失败: {e}")
             return None
     
+    def _filter_parentheses_content(self, text):
+        """过滤文本中的括号内容（包括中文和英文括号）"""
+        import re
+        
+        # 移除中文括号内容：（内容）
+        filtered_text = re.sub(r'（[^）]*）', '', text)
+        # 移除英文括号内容：(content)
+        filtered_text = re.sub(r'\([^)]*\)', '', filtered_text)
+        # 移除方括号内容：【内容】
+        filtered_text = re.sub(r'【[^】]*】', '', filtered_text)
+        # 移除方括号内容：[content]
+        filtered_text = re.sub(r'\[[^\]]*\]', '', filtered_text)
+        # 移除书名号内容：「内容」
+        filtered_text = re.sub(r'「[^」]*」', '', filtered_text)
+        
+        # 清理多余空格
+        filtered_text = re.sub(r'\s+', ' ', filtered_text).strip()
+        
+        return filtered_text
+    
+    def _add_to_chat_history(self, user_message, assistant_response):
+        """添加对话到历史记录"""
+        # 如果历史记录超过最大长度，移除最早的记录
+        if len(self.chat_history) >= self.max_history_length:
+            self.chat_history.pop(0)
+        
+        # 添加新的对话记录
+        self.chat_history.append({
+            "user": user_message,
+            "assistant": assistant_response,
+            "timestamp": time.time()
+        })
+    
+    def clear_chat_history(self):
+        """清空聊天历史"""
+        self.chat_history = []
+        print("💬 聊天历史已清空")
+    
+    def get_chat_history_summary(self):
+        """获取聊天历史摘要"""
+        if not self.chat_history:
+            return "暂无聊天历史"
+        
+        return f"当前有 {len(self.chat_history)} 轮对话记录"
+    
     def _safe_delete_file(self, filepath, description="文件"):
         """安全删除文件"""
         try: