feat(search): 添加AI推荐功能并优化相关逻辑

app/helper/llm.py

@@ -1,12 +1,76 @@
 """LLM模型相关辅助功能"""
-from typing import List
+from typing import List, Optional
 
+from app.core.config import settings
 from app.log import logger
 
 
 class LLMHelper:
     """LLM模型相关辅助功能"""
 
+    @staticmethod
+    def get_llm(streaming: bool = False, callbacks: Optional[list] = None):
+        """
+        获取LLM实例
+        :param streaming: 是否启用流式输出
+        :param callbacks: 回调处理器列表
+        :return: LLM实例
+        """
+        provider = settings.LLM_PROVIDER.lower()
+        api_key = settings.LLM_API_KEY
+
+        if not api_key:
+            raise ValueError("未配置LLM API Key")
+
+        if provider == "google":
+            if settings.PROXY_HOST:
+                from langchain_openai import ChatOpenAI
+                return ChatOpenAI(
+                    model=settings.LLM_MODEL,
+                    api_key=api_key,
+                    max_retries=3,
+                    base_url="https://generativelanguage.googleapis.com/v1beta/openai",
+                    temperature=settings.LLM_TEMPERATURE,
+                    streaming=streaming,
+                    callbacks=callbacks,
+                    stream_usage=True,
+                    openai_proxy=settings.PROXY_HOST
+                )
+            else:
+                from langchain_google_genai import ChatGoogleGenerativeAI
+                return ChatGoogleGenerativeAI(
+                    model=settings.LLM_MODEL,
+                    google_api_key=api_key,
+                    max_retries=3,
+                    temperature=settings.LLM_TEMPERATURE,
+                    streaming=streaming,
+                    callbacks=callbacks
+                )
+        elif provider == "deepseek":
+            from langchain_deepseek import ChatDeepSeek
+            return ChatDeepSeek(
+                model=settings.LLM_MODEL,
+                api_key=api_key,
+                max_retries=3,
+                temperature=settings.LLM_TEMPERATURE,
+                streaming=streaming,
+                callbacks=callbacks,
+                stream_usage=True
+            )
+        else:
+            from langchain_openai import ChatOpenAI
+            return ChatOpenAI(
+                model=settings.LLM_MODEL,
+                api_key=api_key,
+                max_retries=3,
+                base_url=settings.LLM_BASE_URL,
+                temperature=settings.LLM_TEMPERATURE,
+                streaming=streaming,
+                callbacks=callbacks,
+                stream_usage=True,
+                openai_proxy=settings.PROXY_HOST
+            )
+
     def get_models(self, provider: str, api_key: str, base_url: str = None) -> List[str]:
         """获取模型列表"""
         logger.info(f"获取 {provider} 模型列表...")