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

app/agent/__init__.py

@@ -1,4 +1,5 @@
 import asyncio
+import traceback
 from time import strftime
 from typing import Dict, List
 
@@ -145,7 +146,9 @@ class MoviePilotAgent:
         try:
             # Agent运行配置
             agent_config = {
-                ""
+                "configurable": {
+                    "thread_id": self.session_id,
+                }
             }
 
             # 创建智能体
@@ -177,7 +180,7 @@ class MoviePilotAgent:
             logger.info(f"Agent执行被取消: session_id={self.session_id}")
             return "任务已取消", {}
         except Exception as e:
-            logger.error(f"Agent执行失败: {e}")
+            logger.error(f"Agent执行失败: {e} - {traceback.format_exc()}")
             return str(e), {}
 
     async def send_agent_message(self, message: str, title: str = "MoviePilot助手"):

app/helper/llm.py

@@ -27,7 +27,7 @@ class LLMHelper:
                 # 通过代理使用 Google 的 OpenAI 兼容接口
                 from langchain_openai import ChatOpenAI
 
-                return ChatOpenAI(
+                model = ChatOpenAI(
                     model=settings.LLM_MODEL,
                     api_key=api_key,
                     max_retries=3,
@@ -41,7 +41,7 @@ class LLMHelper:
                 # 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 = ChatGoogleGenerativeAI(
                     model=settings.LLM_MODEL,
                     api_key=api_key,
                     retries=3,
@@ -51,7 +51,7 @@ class LLMHelper:
         elif provider == "deepseek":
             from langchain_deepseek import ChatDeepSeek
 
-            return ChatDeepSeek(
+            model = ChatDeepSeek(
                 model=settings.LLM_MODEL,
                 api_key=api_key,
                 max_retries=3,
@@ -62,7 +62,7 @@ class LLMHelper:
         else:
             from langchain_openai import ChatOpenAI
 
-            return ChatOpenAI(
+            model = ChatOpenAI(
                 model=settings.LLM_MODEL,
                 api_key=api_key,
                 max_retries=3,
@@ -73,8 +73,18 @@ class LLMHelper:
                 openai_proxy=settings.PROXY_HOST,
             )
 
+        # 检查是否有profile
+        if hasattr(model, "profile") and model.profile:
+            logger.info(f"使用LLM模型: {model.model}，Profile: {model.profile}")
+        else:
+            model.profile = {
+                "max_input_tokens": settings.LLM_MAX_CONTEXT_TOKENS * 1000,  # 转换为token单位
+            }
+
+        return model
+
     def get_models(
-        self, provider: str, api_key: str, base_url: str = None
+            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...")
@@ -102,7 +112,7 @@ class LLMHelper:
 
     @staticmethod
     def _get_openai_compatible_models(
-        provider: str, api_key: str, base_url: str = None
+            provider: str, api_key: str, base_url: str = None
     ) -> List[str]:
         """获取OpenAI兼容模型列表"""
         try:

app/modules/qqbot/qqbot.py

@@ -11,7 +11,6 @@ from typing import Optional, List, Tuple
 
 from PIL import Image
 
-from app.chain.message import MessageChain
 from app.core.cache import FileCache
 from app.core.context import MediaInfo, Context
 from app.core.metainfo import MetaInfo
@@ -101,11 +100,12 @@ class QQBot:
         """直接调用消息链处理，避免 HTTP 开销"""
         def _run():
             try:
-                MessageChain().process(
+                # FIXME
+                """MessageChain().process(
                     body=payload,
                     form={},
                     args={"source": self._config_name},
-                )
+                )"""
             except Exception as e:
                 logger.error(f"QQ Bot 转发消息失败: {e}")
 

app/modules/telegram/telegram.py

@@ -83,8 +83,8 @@ class Telegram:
                     # 发送正在输入状态
                     try:
                         _bot.send_chat_action(message.chat.id, 'typing')
-                    except Exception as e:
-                        logger.error(f"发送Telegram正在输入状态失败：{e}")
+                    except Exception as err:
+                        logger.error(f"发送Telegram正在输入状态失败：{err}")
                     RequestUtils(timeout=15).post_res(self._ds_url, json=message.json)
 
             @_bot.callback_query_handler(func=lambda call: True)

app/modules/wechat/wechatbot.py

@@ -9,12 +9,11 @@ from typing import Optional, List, Dict, Tuple, Set
 
 import websocket
 
-from app.chain.message import MessageChain
 from app.core.cache import FileCache
+from app.core.config import settings
 from app.core.context import MediaInfo, Context
 from app.core.metainfo import MetaInfo
 from app.log import logger
-from app.schemas.types import MessageChannel
 from app.utils.string import StringUtils
 
 
@@ -27,6 +26,7 @@ class WeChatBot:
     """
 
     _default_ws_url = "wss://openws.work.weixin.qq.com"
+    _ds_url = f"http://127.0.0.1:{settings.PORT}/api/v1/message?token={settings.API_TOKEN}"
     _heartbeat_interval = 30
     _ack_timeout = 10
 
@@ -361,13 +361,14 @@ class WeChatBot:
     def _forward_to_message_chain(self, userid: str, text: str) -> None:
         def _run():
             try:
-                MessageChain().handle_message(
+                # FIXME
+                """MessageChain().handle_message(
                     channel=MessageChannel.Wechat,
                     source=self._config_name,
                     userid=userid,
                     username=userid,
                     text=text,
-                )
+                )"""
             except Exception as err:
                 logger.error(f"企业微信智能机器人转发消息失败：{err}")