chore: release v3.4.3.2

fix：修复了企业微信的accesstoken问题

README.md

@@ -22,14 +22,8 @@
 
 <br/>
 
-<a href="http://qm.qq.com/cgi-bin/qm/qr?_wv=1027&k=66-aWvn8cbP4c1ut_1YYkvvGVeEtyTH8&authKey=pTaKBK5C%2B8dFzQ4XlENf6MHTCLaHnlKcCRx7c14EeVVlpX2nRSaS8lJm8YeM4mCU&noverify=0&group_code=195992197">
-<img alt="Static Badge" src="https://img.shields.io/badge/%E5%AE%98%E6%96%B9%E7%BE%A4-195992197-green">
-</a>
-<a href="https://qm.qq.com/q/PClALFK242">
-<img alt="Static Badge" src="https://img.shields.io/badge/%E7%A4%BE%E5%8C%BA%E7%BE%A4-619154800-green">
-</a>
-<br/>
 
+[![QQ Group](https://img.shields.io/badge/%E7%A4%BE%E5%8C%BA%E7%BE%A4-619154800-blue)](https://qm.qq.com/q/PClALFK242)
 [![GitHub release (latest by date)](https://img.shields.io/github/v/release/RockChinQ/LangBot)](https://github.com/RockChinQ/LangBot/releases/latest)
  ![Dynamic JSON Badge](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.qchatgpt.rockchin.top%2Fapi%2Fv2%2Fview%2Frealtime%2Fcount_query%3Fminute%3D10080&query=%24.data.count&label=%E4%BD%BF%E7%94%A8%E9%87%8F%EF%BC%887%E6%97%A5%EF%BC%89)
 <img src="https://img.shields.io/badge/python-3.10 | 3.11 | 3.12-blue.svg" alt="python">
@@ -39,7 +33,7 @@
 
 ## ✨ Features
 
-- 💬 大模型对话、Agent：支持多种大模型，适配群聊和私聊；具有多轮对话、工具调用、多模态能力，并深度适配 [Dify](https://dify.ai)。目前支持 QQ、QQ频道，后续还将支持微信、WhatsApp、Discord等平台。
+- 💬 大模型对话、Agent：支持多种大模型，适配群聊和私聊；具有多轮对话、工具调用、多模态能力，并深度适配 [Dify](https://dify.ai)。目前支持 QQ、QQ频道、企业微信，后续还将支持微信、WhatsApp、Discord等平台。
 - 🛠️ 高稳定性、功能完备：原生支持访问控制、限速、敏感词过滤等机制；配置简单，支持多种部署方式。
 - 🧩 插件扩展、活跃社区：支持事件驱动、组件扩展等插件机制；丰富生态，目前已有数十个[插件](https://docs.langbot.app/plugin/plugin-intro.html)
 - 😻 [New] Web 管理面板：支持通过浏览器管理 LangBot 实例，具体支持功能，查看[文档](https://docs.langbot.app/webui/intro.html)

libs/wecom_api/api.py

@@ -110,8 +110,17 @@ class WecomClient():
                 "enable_duplicate_check": 0,
                 "duplicate_check_interval": 1800
             }
-            response = await client.post(url,json=params)
+            try:
-            data = response.json()
+                response = await client.post(url,json=params)
+                data = response.json()
+            except Exception as e:
+                raise Exception("Failed to send image: "+str(e))
+
+            # 企业微信错误码40014和42001，代表accesstoken问题
+            if data['errcode'] == 40014 or data['errcode'] == 42001:
+                self.access_token = await self.get_access_token(self.secret)
+                return await self.send_image(user_id,agent_id,media_id)
+
             if data['errcode'] != 0:
                 raise Exception("Failed to send image: "+str(data))
             
@@ -136,7 +145,9 @@ class WecomClient():
             }
             response = await client.post(url,json=params)
             data = response.json()
-            
+            if data['errcode'] == 40014 or data['errcode'] == 42001:
+                self.access_token = await self.get_access_token(self.secret)
+                return await self.send_private_msg(user_id,agent_id,content)
             if data['errcode'] != 0:
                 raise Exception("Failed to send message: "+str(data))
 
@@ -286,11 +297,14 @@ class WecomClient():
         async with httpx.AsyncClient() as client:
             response = await client.post(url, headers=headers, content=body)
             data = response.json()
+            if data['errcode'] == 40014 or data['errcode'] == 42001:
+                self.access_token = await self.get_access_token(self.secret)
+                media_id = await self.upload_to_work(image)
             if data.get('errcode', 0) != 0:
                 raise Exception("failed to upload file")
 
-            return data.get('media_id')
+            media_id = data.get('media_id')
-
+            return media_id
 
     async def download_image_to_bytes(self,url:str) -> bytes:
         async with httpx.AsyncClient() as client:

pkg/provider/modelmgr/requesters/anthropicmsgs.py

@@ -30,7 +30,7 @@ class AnthropicMessages(requester.LLMAPIRequester):
             timeout=typing.cast(httpx.Timeout, self.ap.provider_cfg.data['requester']['anthropic-messages']['timeout']),
             limits=anthropic._constants.DEFAULT_CONNECTION_LIMITS,
             follow_redirects=True,
-            proxies=self.ap.proxy_mgr.get_forward_proxies()
+            trust_env=True,
         )
 
         self.client = anthropic.AsyncAnthropic(

pkg/provider/modelmgr/requesters/chatcmpl.py

@@ -39,7 +39,7 @@ class OpenAIChatCompletions(requester.LLMAPIRequester):
             base_url=self.requester_cfg['base-url'],
             timeout=self.requester_cfg['timeout'],
             http_client=httpx.AsyncClient(
-                proxies=self.ap.proxy_mgr.get_forward_proxies()
+                trust_env=True,
             )
         )
 

pkg/utils/constants.py

@@ -1,4 +1,4 @@
-semantic_version = "v3.4.3"
+semantic_version = "v3.4.3.2"
 
 debug_mode = False