本地记忆+意图识别 (#250)

* 增加本地记忆功能，使用llm总结记忆

* update：增加统一非流式输出输出

* 增加意图识别内容，使用llm进行识别

* 初始化记忆模块

* 完善意图识别处理后的流程

* 通过使用function call实现意图识别

* update:优化意图识别的配置

* update:function call最优设置成doubao-pro-32k-functioncall-241028

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Co-authored-by: 玄凤科技 <eric230308@gmail.com>
Co-authored-by: hrz <1710360675@qq.com>

main/xiaozhi-server/core/providers/llm/base.py

@@ -1,8 +1,38 @@
 from abc import ABC, abstractmethod
+from config.logger import setup_logging
 
+TAG = __name__
+logger = setup_logging()
 
 class LLMProviderBase(ABC):
     @abstractmethod
     def response(self, session_id, dialogue):
         """LLM response generator"""
         pass
+
+    def response_no_stream(self, system_prompt, user_prompt):
+        try:
+            # 构造对话格式
+            dialogue = [
+                {"role": "system", "content": system_prompt},
+                {"role": "user", "content": user_prompt}
+            ]
+            result = ""
+            for part in self.response("", dialogue):
+                result += part
+            return result
+
+        except Exception as e:
+            logger.bind(tag=TAG).error(f"Error in Ollama response generation: {e}")
+            return "【LLM服务响应异常】"
+    
+    def response_with_functions(self, session_id, dialogue, functions=None):
+        """
+        Default implementation for function calling (streaming)
+        This should be overridden by providers that support function calls
+        
+        Returns: generator that yields either text tokens or a special function call token
+        """
+        # For providers that don't support functions, just return regular response
+        for token in self.response(session_id, dialogue):
+            yield {"type": "content", "content": token}