feat:add qoute message process and add Whether to enable this function (#1446)

* 更新了wechatpad接口，以及适配器

* 更新了wechatpad接口，以及适配器

* 修复一些细节问题，比如at回复，以及启动登录和启动ws长连接的线程同步

* importutil中修复了在wi上启动替换斜杠问题，login中加上了一个login，暂时没啥用。wechatpad中做出了一些细节修改

* 更新了wechatpad接口，以及适配器

* 怎加了处理图片链接转换为image_base64发送

* feat(wechatpad): 调整日志+bugfix

* feat(wechatpad): fix typo

* 修正了发送语音api参数错误，添加了发送链接处理为base64数据（好像只有一部分链接可以）

* 修复了部分手抽的typo错误

* chore: remove manager.py

* feat:add qoute message process and add Whether to enable this function

* chore: add db migration for this change

---------

Co-authored-by: shinelin <shinelinxx@gmail.com>
Co-authored-by: Junyan Qin (Chin) <rockchinq@gmail.com>

pkg/pipeline/preproc/preproc.py

@@ -34,6 +34,7 @@ class PreProcessor(stage.PipelineStage):
 
         session = await self.ap.sess_mgr.get_session(query)
 
+
         # 非 local-agent 时，llm_model 为 None
         llm_model = (
             await self.ap.model_mgr.get_model_by_uuid(query.pipeline_config['ai']['local-agent']['model'])
@@ -81,6 +82,7 @@ class PreProcessor(stage.PipelineStage):
         content_list = []
 
         plain_text = ''
+        qoute_msg = query.pipeline_config["trigger"].get("misc",'').get("combine-quote-message")
 
         for me in query.message_chain:
             if isinstance(me, platform_message.Plain):
@@ -92,6 +94,18 @@ class PreProcessor(stage.PipelineStage):
                 ):
                     if me.base64 is not None:
                         content_list.append(llm_entities.ContentElement.from_image_base64(me.base64))
+            elif isinstance(me, platform_message.Quote) and qoute_msg:
+                for msg in me.origin:
+                    if isinstance(msg, platform_message.Plain):
+                        content_list.append(llm_entities.ContentElement.from_text(msg.text))
+                    elif isinstance(msg, platform_message.Image):
+                        if selected_runner != 'local-agent' or query.use_llm_model.model_entity.abilities.__contains__(
+                                'vision'
+                        ):
+                            if msg.base64 is not None:
+                                content_list.append(llm_entities.ContentElement.from_image_base64(msg.base64))
+
+
 
         query.variables['user_message_text'] = plain_text