Merge branch 'main' of https://github.com/maxkb-dev/maxkb

README.md

@@ -10,7 +10,7 @@
 </p>
 <hr/>
 
-MaxKB = Max Knowledge Base, it is a ready-to-use AI chatbot that integrates Retrieval-Augmented Generation (RAG) pipelines, supports robust workflows, and provides advanced MCP tool-use capabilities. MaxKB is widely applied in scenarios such as intelligent customer service, corporate internal knowledge bases, academic research, and education.
+MaxKB = Max Knowledge Brain, it is a ready-to-use AI chatbot that integrates Retrieval-Augmented Generation (RAG) pipelines, supports robust workflows, and provides advanced MCP tool-use capabilities. MaxKB is widely applied in scenarios such as intelligent customer service, corporate internal knowledge bases, academic research, and education.
 
 - **RAG Pipeline**: Supports direct uploading of documents / automatic crawling of online documents, with features for automatic text splitting, vectorization, and RAG (Retrieval-Augmented Generation). This effectively reduces hallucinations in large models, providing a superior smart Q&A interaction experience.
 - **Flexible Orchestration**: Equipped with a powerful workflow engine, function library and MCP tool-use, enabling the orchestration of AI processes to meet the needs of complex business scenarios. 

README_CN.md

@@ -14,7 +14,7 @@
 </p>
 <hr/>
 
-MaxKB = Max Knowledge Base，是一款开箱即用的 RAG Chatbot，具备强大的工作流和 MCP 工具调用能力。它支持对接各种主流大语言模型（LLMs），广泛应用于智能客服、企业内部知识库、学术研究与教育等场景。
+MaxKB = Max Knowledge Brain，是一款开箱即用的 RAG Chatbot，具备强大的工作流和 MCP 工具调用能力。它支持对接各种主流大语言模型（LLMs），广泛应用于智能客服、企业内部知识库、学术研究与教育等场景。
 
 - **开箱即用**：支持直接上传文档 / 自动爬取在线文档，支持文本自动拆分、向量化和 RAG（检索增强生成），有效减少大模型幻觉，智能问答交互体验好；
 - **模型中立**：支持对接各种大模型，包括本地私有大模型（DeepSeek R1 / Llama 3 / Qwen 2 等）、国内公共大模型（通义千问 / 腾讯混元 / 字节豆包 / 百度千帆 / 智谱 AI / Kimi 等）和国外公共大模型（OpenAI / Claude / Gemini 等）；

apps/application/serializers/application_serializers.py

@@ -1071,6 +1071,7 @@ class ApplicationSerializer(serializers.Serializer):
             for update_key in update_keys:
                 if update_key in instance and instance.get(update_key) is not None:
                     application.__setattr__(update_key, instance.get(update_key))
+            print(application.name)
             application.save()
 
             if 'dataset_id_list' in instance:
@@ -1089,6 +1090,7 @@ class ApplicationSerializer(serializers.Serializer):
                 chat_cache.clear_by_application_id(application_id)
             application_access_token = QuerySet(ApplicationAccessToken).filter(application_id=application_id).first()
             # 更新缓存数据
+            print(application.name)
             get_application_access_token(application_access_token.access_token, False)
             return self.one(with_valid=False)
 
@@ -1141,6 +1143,8 @@ class ApplicationSerializer(serializers.Serializer):
                         instance['file_upload_enable'] = node_data['file_upload_enable']
                     if 'file_upload_setting' in node_data:
                         instance['file_upload_setting'] = node_data['file_upload_setting']
+                    if 'name' in node_data:
+                        instance['name'] = node_data['name']
                     break
 
         def speech_to_text(self, file, with_valid=True):

ui/src/workflow/nodes/mcp-node/index.vue

@@ -97,11 +97,24 @@
             </div>
           </template>
           <el-input
-            v-if="item.source === 'custom'"
+            v-if="item.source === 'custom' && item.input_type === 'TextInput'"
             v-model="form_data.tool_params[form_data.params_nested][item.label.label]"
           />
+          <el-input-number
+            v-else-if="item.source === 'custom' && item.input_type === 'NumberInput'"
+            v-model="form_data.tool_params[form_data.params_nested][item.label.label]"
+          />
+          <el-switch
+            v-else-if="item.source === 'custom' && item.input_type === 'SwitchInput'"
+            v-model="form_data.tool_params[form_data.params_nested][item.label.label]"
+          />
+          <el-input
+            v-else-if="item.source === 'custom' && item.input_type === 'JsonInput'"
+            v-model="form_data.tool_params[form_data.params_nested][item.label.label]"
+            type="textarea"
+          />
           <NodeCascader
-            v-else
+            v-if="item.source === 'referencing'"
             ref="nodeCascaderRef2"
             :nodeModel="nodeModel"
             class="w-full"
@@ -148,11 +161,24 @@
             </div>
           </template>
           <el-input
-            v-if="item.source === 'custom'"
+            v-if="item.source === 'custom' && item.input_type === 'TextInput'"
             v-model="form_data.tool_params[item.label.label]"
           />
+          <el-input-number
+            v-else-if="item.source === 'custom' && item.input_type === 'NumberInput'"
+            v-model="form_data.tool_params[item.label.label]"
+          />
+          <el-switch
+            v-else-if="item.source === 'custom' && item.input_type === 'SwitchInput'"
+            v-model="form_data.tool_params[item.label.label]"
+          />
+          <el-input
+            v-else-if="item.source === 'custom' && item.input_type === 'JsonInput'"
+            v-model="form_data.tool_params[item.label.label]"
+            type="textarea"
+          />
           <NodeCascader
-            v-else
+            v-if="item.source === 'referencing'"
             ref="nodeCascaderRef2"
             :nodeModel="nodeModel"
             class="w-full"
@@ -244,6 +270,19 @@ function changeTool() {
     if (params) {
       form_data.value.params_nested = item
       for (const item2 in params) {
+        let input_type = 'TextInput'
+        if (params[item2].type === 'string') {
+          input_type = 'TextInput'
+        } else if (params[item2].type === 'number') {
+          input_type = 'NumberInput'
+        } else if (params[item2].type === 'boolean') {
+          input_type = 'SwitchInput'
+        } else if (params[item2].type === 'array') {
+          input_type = 'JsonInput'
+        } else if (params[item2].type === 'object') {
+          input_type = 'JsonInput'
+        }
+        console.log(params[item2])
         form_data.value.tool_form_field.push({
           field: item2,
           label: {
@@ -252,7 +291,7 @@ function changeTool() {
             attrs: { tooltip: params[item2].description },
             props_info: {}
           },
-          input_type: 'TextInput',
+          input_type: input_type,
           source: 'referencing',
           required: args_schema.properties[item].required?.indexOf(item2) !== -1,
           props_info: {
@@ -268,6 +307,19 @@ function changeTool() {
       }
     } else {
       form_data.value.params_nested = ''
+      let input_type = 'TextInput'
+      if (args_schema.properties[item].type === 'string') {
+        input_type = 'TextInput'
+      } else if (args_schema.properties[item].type === 'number') {
+        input_type = 'NumberInput'
+      } else if (args_schema.properties[item].type === 'boolean') {
+        input_type = 'SwitchInput'
+      } else if (args_schema.properties[item].type === 'array') {
+        input_type = 'JsonInput'
+      } else if (args_schema.properties[item].type === 'object') {
+        input_type = 'JsonInput'
+      }
+      console.log(args_schema.properties[item]);
       form_data.value.tool_form_field.push({
         field: item,
         label: {
@@ -276,7 +328,7 @@ function changeTool() {
           attrs: { tooltip: args_schema.properties[item].description },
           props_info: {}
         },
-        input_type: 'TextInput',
+        input_type: input_type,
         source: 'referencing',
         required: args_schema.required?.indexOf(item) !== -1,
         props_info: {