feat(agent): upgrade langchain to v1.0+

app/helper/llm.py

@@ -1,5 +1,6 @@
 """LLM模型相关辅助功能"""
-from typing import List, Optional
+
+from typing import List
 
 from app.core.config import settings
 from app.log import logger
@@ -9,11 +10,10 @@ class LLMHelper:
     """LLM模型相关辅助功能"""
 
     @staticmethod
-    def get_llm(streaming: bool = False, callbacks: Optional[list] = None):
+    def get_llm(streaming: bool = False):
         """
         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()
@@ -24,7 +24,9 @@ class LLMHelper:
 
         if provider == "google":
             if settings.PROXY_HOST:
+                # 通过代理使用 Google 的 OpenAI 兼容接口
                 from langchain_openai import ChatOpenAI
+
                 return ChatOpenAI(
                     model=settings.LLM_MODEL,
                     api_key=api_key,
@@ -32,33 +34,34 @@ class LLMHelper:
                     base_url="https://generativelanguage.googleapis.com/v1beta/openai",
                     temperature=settings.LLM_TEMPERATURE,
                     streaming=streaming,
-                    callbacks=callbacks,
                     stream_usage=True,
-                    openai_proxy=settings.PROXY_HOST
+                    openai_proxy=settings.PROXY_HOST,
                 )
             else:
+                # 使用 langchain-google-genai 原生接口（v4 API 变更：google_api_key → api_key，max_retries → retries）
                 from langchain_google_genai import ChatGoogleGenerativeAI
+
                 return ChatGoogleGenerativeAI(
                     model=settings.LLM_MODEL,
-                    google_api_key=api_key,
-                    max_retries=3,
+                    api_key=api_key,
+                    retries=3,
                     temperature=settings.LLM_TEMPERATURE,
-                    streaming=streaming,
-                    callbacks=callbacks
+                    streaming=streaming
                 )
         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
+                stream_usage=True,
             )
         else:
             from langchain_openai import ChatOpenAI
+
             return ChatOpenAI(
                 model=settings.LLM_MODEL,
                 api_key=api_key,
@@ -66,12 +69,13 @@ class LLMHelper:
                 base_url=settings.LLM_BASE_URL,
                 temperature=settings.LLM_TEMPERATURE,
                 streaming=streaming,
-                callbacks=callbacks,
                 stream_usage=True,
-                openai_proxy=settings.PROXY_HOST
+                openai_proxy=settings.PROXY_HOST,
             )
 
-    def get_models(self, provider: str, api_key: str, base_url: str = None) -> List[str]:
+    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...")
         if provider == "google":
@@ -81,18 +85,25 @@ class LLMHelper:
 
     @staticmethod
     def _get_google_models(api_key: str) -> List[str]:
-        """获取Google模型列表"""
+        """获取Google模型列表（使用 google-genai SDK v1）"""
         try:
-            import google.generativeai as genai
-            genai.configure(api_key=api_key)
-            models = genai.list_models()
-            return [m.name for m in models if 'generateContent' in m.supported_generation_methods]
+            from google import genai
+
+            client = genai.Client(api_key=api_key)
+            models = client.models.list()
+            return [
+                m.name
+                for m in models
+                if m.supported_actions and "generateContent" in m.supported_actions
+            ]
         except Exception as e:
             logger.error(f"获取Google模型列表失败：{e}")
             raise e
 
     @staticmethod
-    def _get_openai_compatible_models(provider: str, api_key: str, base_url: str = None) -> List[str]:
+    def _get_openai_compatible_models(
+        provider: str, api_key: str, base_url: str = None
+    ) -> List[str]:
         """获取OpenAI兼容模型列表"""
         try:
             from openai import OpenAI