2025-12-26 18:22:46 +00:00
100 changed files with 520 additions and 1569 deletions
--- a/.github/dependabot.yml
+++ b/.github/dependabot.yml
@ -6,12 +6,4 @@ updates:
      interval: "weekly"
      timezone: "Asia/Shanghai"
      day: "friday"
-    target-branch: "v2"
-    groups:
-      python-dependencies:
-        patterns:
-          - "*"
-#    ignore:
-#      - dependency-name: "pymupdf"
-#        versions: ["*"]
-
+    target-branch: "v2"
--- a/.github/workflows/build-and-push.yml
+++ b/.github/workflows/build-and-push.yml
@ -7,7 +7,7 @@ on:
    inputs:
      dockerImageTag:
        description: 'Image Tag'
-        default: 'v1.10.7-dev'
+        default: 'v1.10.3-dev'
        required: true
      dockerImageTagWithLatest:
        description: '是否发布latest tag（正式发版时选择，测试版本切勿选择）'
@ -36,7 +36,7 @@ on:
 jobs:
  build-and-push-to-fit2cloud-registry:
    if: ${{ contains(github.event.inputs.registry, 'fit2cloud') }}
-    runs-on: ubuntu-latest
+    runs-on: ubuntu-22.04
    steps:
      - name: Check Disk Space
        run: df -h
@ -52,6 +52,10 @@ jobs:
          swap-storage: true
      - name: Check Disk Space
        run: df -h
+      - name: Set Swap Space
+        uses: pierotofy/set-swap-space@master
+        with:
+          swap-size-gb: 8
      - name: Checkout
        uses: actions/checkout@v4
        with:
@ -64,17 +68,24 @@ jobs:
          TAG_NAME=${{ github.event.inputs.dockerImageTag }}
          TAG_NAME_WITH_LATEST=${{ github.event.inputs.dockerImageTagWithLatest }}
          if [[ ${TAG_NAME_WITH_LATEST} == 'true' ]]; then            
-            DOCKER_IMAGE_TAGS="--tag ${DOCKER_IMAGE}:${TAG_NAME} --tag ${DOCKER_IMAGE}:${TAG_NAME%%.*}"
+            DOCKER_IMAGE_TAGS="--tag ${DOCKER_IMAGE}:${TAG_NAME} --tag ${DOCKER_IMAGE}:latest"
          else
            DOCKER_IMAGE_TAGS="--tag ${DOCKER_IMAGE}:${TAG_NAME}"
          fi
          echo ::set-output name=buildx_args::--platform ${DOCKER_PLATFORMS} --memory-swap -1 \
-            --build-arg DOCKER_IMAGE_TAG=${{ github.event.inputs.dockerImageTag }} --build-arg BUILD_AT=$(TZ=Asia/Shanghai date +'%Y-%m-%dT%H:%M') --build-arg GITHUB_COMMIT=`git rev-parse --short HEAD` --no-cache \
+            --build-arg DOCKER_IMAGE_TAG=${{ github.event.inputs.dockerImageTag }} --build-arg BUILD_AT=$(TZ=Asia/Shanghai date +'%Y-%m-%dT%H:%M') --build-arg GITHUB_COMMIT=${GITHUB_SHA::8} --no-cache \
            ${DOCKER_IMAGE_TAGS} .
      - name: Set up QEMU
        uses: docker/setup-qemu-action@v3
+        with:
+          # Until https://github.com/tonistiigi/binfmt/issues/215
+          image: tonistiigi/binfmt:qemu-v7.0.0-28
      - name: Set up Docker Buildx
        uses: docker/setup-buildx-action@v3
+        with:
+          buildkitd-config-inline: |
+            [worker.oci]
+              max-parallelism = 1
      - name: Login to GitHub Container Registry
        uses: docker/login-action@v3
        with:
@ -89,12 +100,11 @@ jobs:
          password: ${{ secrets.FIT2CLOUD_REGISTRY_PASSWORD }}
      - name: Docker Buildx (build-and-push)
        run: |
-          sudo sync && echo 3 | sudo tee /proc/sys/vm/drop_caches && free -m
          docker buildx build --output "type=image,push=true" ${{ steps.prepare.outputs.buildx_args }} -f installer/Dockerfile

  build-and-push-to-dockerhub:
    if: ${{ contains(github.event.inputs.registry, 'dockerhub') }}
-    runs-on: ubuntu-latest
+    runs-on: ubuntu-22.04
    steps:
      - name: Check Disk Space
        run: df -h
@ -110,6 +120,10 @@ jobs:
          swap-storage: true
      - name: Check Disk Space
        run: df -h
+      - name: Set Swap Space
+        uses: pierotofy/set-swap-space@master
+        with:
+          swap-size-gb: 8
      - name: Checkout
        uses: actions/checkout@v4
        with:
@ -122,17 +136,24 @@ jobs:
          TAG_NAME=${{ github.event.inputs.dockerImageTag }}          
          TAG_NAME_WITH_LATEST=${{ github.event.inputs.dockerImageTagWithLatest }}
          if [[ ${TAG_NAME_WITH_LATEST} == 'true' ]]; then            
-            DOCKER_IMAGE_TAGS="--tag ${DOCKER_IMAGE}:${TAG_NAME} --tag ${DOCKER_IMAGE}:${TAG_NAME%%.*}"
+            DOCKER_IMAGE_TAGS="--tag ${DOCKER_IMAGE}:${TAG_NAME} --tag ${DOCKER_IMAGE}:latest"
          else
            DOCKER_IMAGE_TAGS="--tag ${DOCKER_IMAGE}:${TAG_NAME}"
          fi
          echo ::set-output name=buildx_args::--platform ${DOCKER_PLATFORMS} --memory-swap -1 \
-            --build-arg DOCKER_IMAGE_TAG=${{ github.event.inputs.dockerImageTag }} --build-arg BUILD_AT=$(TZ=Asia/Shanghai date +'%Y-%m-%dT%H:%M') --build-arg GITHUB_COMMIT=`git rev-parse --short HEAD` --no-cache \
+            --build-arg DOCKER_IMAGE_TAG=${{ github.event.inputs.dockerImageTag }} --build-arg BUILD_AT=$(TZ=Asia/Shanghai date +'%Y-%m-%dT%H:%M') --build-arg GITHUB_COMMIT=${GITHUB_SHA::8} --no-cache \
            ${DOCKER_IMAGE_TAGS} .
      - name: Set up QEMU
        uses: docker/setup-qemu-action@v3
+        with:
+          # Until https://github.com/tonistiigi/binfmt/issues/215
+          image: tonistiigi/binfmt:qemu-v7.0.0-28
      - name: Set up Docker Buildx
        uses: docker/setup-buildx-action@v3
+        with:
+          buildkitd-config-inline: |
+            [worker.oci]
+              max-parallelism = 1
      - name: Login to GitHub Container Registry
        uses: docker/login-action@v3
        with:
@ -146,5 +167,4 @@ jobs:
          password: ${{ secrets.DOCKERHUB_TOKEN }}
      - name: Docker Buildx (build-and-push)
        run: |
-          sudo sync && echo 3 | sudo tee /proc/sys/vm/drop_caches && free -m
          docker buildx build --output "type=image,push=true" ${{ steps.prepare.outputs.buildx_args }} -f installer/Dockerfile
--- a/README.md
+++ b/README.md
@ -1,6 +1,5 @@
 <p align="center"><img src= "https://github.com/1Panel-dev/maxkb/assets/52996290/c0694996-0eed-40d8-b369-322bf2a380bf" alt="MaxKB" width="300" /></p>
-<h3 align="center">Open-source platform for building enterprise-grade agents</h3>
-<h3 align="center">强大易用的企业级智能体平台</h3>
+<h3 align="center">An Open-Source AI Assistant for Enterprise</h3>
 <p align="center"><a href="https://trendshift.io/repositories/9113" target="_blank"><img src="https://trendshift.io/api/badge/repositories/9113" alt="1Panel-dev%2FMaxKB | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a></p>
 <p align="center">
  <a href="https://www.gnu.org/licenses/gpl-3.0.html#license-text"><img src="https://img.shields.io/github/license/1Panel-dev/maxkb?color=%231890FF" alt="License: GPL v3"></a>
@ -11,7 +10,7 @@
 </p>
 <hr/>

-MaxKB = Max Knowledge Brain, it is an open-source platform for building enterprise-grade agents. MaxKB 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 powerful and easy-to-use AI assistant 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. This effectively reduces hallucinations in large models, providing a superior smart Q&A interaction experience.
 - **Agentic Workflow**: 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. 
@ -56,6 +55,8 @@ Access MaxKB web interface at `http://your_server_ip:8080` with default admin cr

 ## Feature Comparison

+MaxKB is positioned as an Ready-to-use RAG (Retrieval-Augmented Generation) intelligent Q&A application, rather than a middleware platform for building large model applications. The following table is merely a comparison from a functional perspective.
+
 <table style="width: 100%;">
  <tr>
    <th align="center">Feature</th>
--- a/README_CN.md
+++ b/README_CN.md
@ -1,20 +1,19 @@
 <p align="center"><img src= "https://github.com/1Panel-dev/maxkb/assets/52996290/c0694996-0eed-40d8-b369-322bf2a380bf" alt="MaxKB" width="300" /></p>
-<h3 align="center">强大易用的企业级智能体平台</h3>
+<h3 align="center">强大易用的企业级 AI 助手</h3>
 <p align="center">
    <a href="https://trendshift.io/repositories/9113" target="_blank"><img src="https://trendshift.io/api/badge/repositories/9113" alt="1Panel-dev%2FMaxKB | Trendshift" style="width: 250px; height: auto;" /></a>
+    <a href="https://market.aliyun.com/products/53690006/cmjj00067609.html?userCode=kmemb8jp" target="_blank"><img src="https://img.alicdn.com/imgextra/i2/O1CN01H5JIwY1rZ0OobDjnJ_!!6000000005644-2-tps-1000-216.png" alt="1Panel-dev%2FMaxKB | Aliyun" style="width: 250px; height: auto;" /></a>
 </p>
 <p align="center">
  <a href="README_EN.md"><img src="https://img.shields.io/badge/English_README-blue" alt="English README"></a>
-  <a href="https://www.gnu.org/licenses/gpl-3.0.html#license-text"><img src="https://img.shields.io/github/license/1Panel-dev/maxkb?color=%231890FF" alt="License: GPL v3"></a>
+  <a href="https://www.gnu.org/licenses/gpl-3.0.html#license-text"><img src="https://img.shields.io/github/license/1Panel-dev/maxkb" alt="License: GPL v3"></a>
  <a href="https://github.com/1Panel-dev/maxkb/releases/latest"><img src="https://img.shields.io/github/v/release/1Panel-dev/maxkb" alt="Latest release"></a>
-  <a href="https://github.com/1Panel-dev/maxkb"><img src="https://img.shields.io/github/stars/1Panel-dev/maxkb?style=flat-square" alt="Stars"></a>
-  <a href="https://hub.docker.com/r/1panel/maxkb"><img src="https://img.shields.io/docker/pulls/1panel/maxkb?label=downloads" alt="Download"></a>
-  <a href="https://gitee.com/fit2cloud-feizhiyun/MaxKB"><img src="https://gitee.com/fit2cloud-feizhiyun/MaxKB/badge/star.svg?theme=gvp" alt="Gitee Stars"></a>
-  <a href="https://gitcode.com/feizhiyun/MaxKB"><img src="https://gitcode.com/feizhiyun/MaxKB/star/badge.svg" alt="GitCode Stars"></a>
+  <a href="https://github.com/1Panel-dev/maxkb"><img src="https://img.shields.io/github/stars/1Panel-dev/maxkb?style=flat-square" alt="Stars"></a>    
+  <a href="https://hub.docker.com/r/1panel/maxkb"><img src="https://img.shields.io/docker/pulls/1panel/maxkb?label=downloads" alt="Download"></a>  
 </p>
 <hr/>

-MaxKB = Max Knowledge Brain，是一款强大易用的企业级智能体平台，支持 RAG 检索增强生成、工作流编排、MCP 工具调用能力。MaxKB 支持对接各种主流大语言模型，广泛应用于智能客服、企业内部知识库问答、员工助手、学术研究与教育等场景。
+MaxKB = Max Knowledge Brain，是一款强大易用的企业级 AI 助手，支持 RAG 检索增强生成、工作流编排、MCP 工具调用能力。MaxKB 支持对接各种主流大语言模型，广泛应用于智能客服、企业内部知识库问答、员工助手、学术研究与教育等场景。

 - **RAG 检索增强生成**：高效搭建本地 AI 知识库，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，有效减少大模型幻觉，提升问答效果；
 - **灵活编排**：内置强大的工作流引擎、函数库和 MCP 工具调用能力，支持编排 AI 工作过程，满足复杂业务场景下的需求；
--- a/apps/application/flow/step_node/ai_chat_step_node/impl/base_chat_node.py
+++ b/apps/application/flow/step_node/ai_chat_step_node/impl/base_chat_node.py
@ -40,7 +40,6 @@ tool_message_template = """

 """

-
 def _write_context(node_variable: Dict, workflow_variable: Dict, node: INode, workflow, answer: str,
                   reasoning_content: str):
    chat_model = node_variable.get('chat_model')
@ -103,6 +102,7 @@ def write_context_stream(node_variable: Dict, workflow_variable: Dict, node: INo
    _write_context(node_variable, workflow_variable, node, workflow, answer, reasoning_content)


+
 async def _yield_mcp_response(chat_model, message_list, mcp_servers):
    async with MultiServerMCPClient(json.loads(mcp_servers)) as client:
        agent = create_react_agent(chat_model, client.get_tools())
@ -115,7 +115,6 @@ async def _yield_mcp_response(chat_model, message_list, mcp_servers):
            if isinstance(chunk[0], AIMessageChunk):
                yield chunk[0]

-
 def mcp_response_generator(chat_model, message_list, mcp_servers):
    loop = asyncio.new_event_loop()
    try:
@ -131,7 +130,6 @@ def mcp_response_generator(chat_model, message_list, mcp_servers):
    finally:
        loop.close()

-
 async def anext_async(agen):
    return await agen.__anext__()

@ -188,8 +186,7 @@ class BaseChatNode(IChatNode):
        self.context['answer'] = details.get('answer')
        self.context['question'] = details.get('question')
        self.context['reasoning_content'] = details.get('reasoning_content')
-        if self.node_params.get('is_result', False):
-            self.answer_text = details.get('answer')
+        self.answer_text = details.get('answer')

    def execute(self, model_id, system, prompt, dialogue_number, history_chat_record, stream, chat_id, chat_record_id,
                model_params_setting=None,
@ -219,7 +216,7 @@ class BaseChatNode(IChatNode):
        message_list = self.generate_message_list(system, prompt, history_message)
        self.context['message_list'] = message_list

-        if mcp_enable and mcp_servers is not None and '"stdio"' not in mcp_servers:
+        if mcp_enable and mcp_servers is not None:
            r = mcp_response_generator(chat_model, message_list, mcp_servers)
            return NodeResult(
                {'result': r, 'chat_model': chat_model, 'message_list': message_list,
--- a/apps/application/flow/step_node/application_node/impl/base_application_node.py
+++ b/apps/application/flow/step_node/application_node/impl/base_application_node.py
@ -168,8 +168,7 @@ class BaseApplicationNode(IApplicationNode):
        self.context['question'] = details.get('question')
        self.context['type'] = details.get('type')
        self.context['reasoning_content'] = details.get('reasoning_content')
-        if self.node_params.get('is_result', False):
-            self.answer_text = details.get('answer')
+        self.answer_text = details.get('answer')

    def execute(self, application_id, message, chat_id, chat_record_id, stream, re_chat, client_id, client_type,
                app_document_list=None, app_image_list=None, app_audio_list=None, child_node=None, node_data=None,
@ -179,8 +178,7 @@ class BaseApplicationNode(IApplicationNode):
        current_chat_id = string_to_uuid(chat_id + application_id)
        Chat.objects.get_or_create(id=current_chat_id, defaults={
            'application_id': application_id,
-            'abstract': message[0:1024],
-            'client_id': client_id,
+            'abstract': message[0:1024]
        })
        if app_document_list is None:
            app_document_list = []
--- a/apps/application/flow/step_node/direct_reply_node/impl/base_reply_node.py
+++ b/apps/application/flow/step_node/direct_reply_node/impl/base_reply_node.py
@ -15,9 +15,7 @@ from application.flow.step_node.direct_reply_node.i_reply_node import IReplyNode
 class BaseReplyNode(IReplyNode):
    def save_context(self, details, workflow_manage):
        self.context['answer'] = details.get('answer')
-        if self.node_params.get('is_result', False):
-            self.answer_text = details.get('answer')
-
+        self.answer_text = details.get('answer')
    def execute(self, reply_type, stream, fields=None, content=None, **kwargs) -> NodeResult:
        if reply_type == 'referencing':
            result = self.get_reference_content(fields)
--- a/apps/application/flow/step_node/form_node/impl/base_form_node.py
+++ b/apps/application/flow/step_node/form_node/impl/base_form_node.py
@ -38,8 +38,7 @@ class BaseFormNode(IFormNode):
        self.context['start_time'] = details.get('start_time')
        self.context['form_data'] = form_data
        self.context['is_submit'] = details.get('is_submit')
-        if self.node_params.get('is_result', False):
-            self.answer_text = details.get('result')
+        self.answer_text = details.get('result')
        if form_data is not None:
            for key in form_data:
                self.context[key] = form_data[key]
@ -71,7 +70,7 @@ class BaseFormNode(IFormNode):
                        "chat_record_id": self.flow_params_serializer.data.get("chat_record_id"),
                        'form_data': self.context.get('form_data', {}),
                        "is_submit": self.context.get("is_submit", False)}
-        form = f'<form_rander>{json.dumps(form_setting, ensure_ascii=False)}</form_rander>'
+        form = f'<form_rander>{json.dumps(form_setting,ensure_ascii=False)}</form_rander>'
        context = self.workflow_manage.get_workflow_content()
        form_content_format = self.workflow_manage.reset_prompt(form_content_format)
        prompt_template = PromptTemplate.from_template(form_content_format, template_format='jinja2')
@ -86,7 +85,7 @@ class BaseFormNode(IFormNode):
                        "chat_record_id": self.flow_params_serializer.data.get("chat_record_id"),
                        'form_data': self.context.get('form_data', {}),
                        "is_submit": self.context.get("is_submit", False)}
-        form = f'<form_rander>{json.dumps(form_setting, ensure_ascii=False)}</form_rander>'
+        form = f'<form_rander>{json.dumps(form_setting,ensure_ascii=False)}</form_rander>'
        context = self.workflow_manage.get_workflow_content()
        form_content_format = self.workflow_manage.reset_prompt(form_content_format)
        prompt_template = PromptTemplate.from_template(form_content_format, template_format='jinja2')
--- a/apps/application/flow/step_node/function_lib_node/impl/base_function_lib_node.py
+++ b/apps/application/flow/step_node/function_lib_node/impl/base_function_lib_node.py
@ -65,7 +65,7 @@ def valid_reference_value(_type, value, name):


 def convert_value(name: str, value, _type, is_required, source, node):
-    if not is_required and (value is None or (isinstance(value, str) and len(value) == 0)):
+    if not is_required and value is None:
        return None
    if not is_required and source == 'reference' and (value is None or len(value) == 0):
        return None
@ -113,8 +113,7 @@ def valid_function(function_lib, user_id):
 class BaseFunctionLibNodeNode(IFunctionLibNode):
    def save_context(self, details, workflow_manage):
        self.context['result'] = details.get('result')
-        if self.node_params.get('is_result'):
-            self.answer_text = str(details.get('result'))
+        self.answer_text = str(details.get('result'))

    def execute(self, function_lib_id, input_field_list, **kwargs) -> NodeResult:
        function_lib = QuerySet(FunctionLib).filter(id=function_lib_id).first()
--- a/apps/application/flow/step_node/function_node/impl/base_function_node.py
+++ b/apps/application/flow/step_node/function_node/impl/base_function_node.py
@ -49,7 +49,7 @@ def valid_reference_value(_type, value, name):


 def convert_value(name: str, value, _type, is_required, source, node):
-    if not is_required and (value is None or (isinstance(value, str) and len(value) == 0)):
+    if not is_required and value is None:
        return None
    if source == 'reference':
        value = node.workflow_manage.get_reference_field(
@ -84,8 +84,7 @@ def convert_value(name: str, value, _type, is_required, source, node):
 class BaseFunctionNodeNode(IFunctionNode):
    def save_context(self, details, workflow_manage):
        self.context['result'] = details.get('result')
-        if self.node_params.get('is_result', False):
-            self.answer_text = str(details.get('result'))
+        self.answer_text = str(details.get('result'))

    def execute(self, input_field_list, code, **kwargs) -> NodeResult:
        params = {field.get('name'): convert_value(field.get('name'), field.get('value'), field.get('type'),
--- a/apps/application/flow/step_node/image_generate_step_node/impl/base_image_generate_node.py
+++ b/apps/application/flow/step_node/image_generate_step_node/impl/base_image_generate_node.py
@ -16,8 +16,7 @@ class BaseImageGenerateNode(IImageGenerateNode):
    def save_context(self, details, workflow_manage):
        self.context['answer'] = details.get('answer')
        self.context['question'] = details.get('question')
-        if self.node_params.get('is_result', False):
-            self.answer_text = details.get('answer')
+        self.answer_text = details.get('answer')

    def execute(self, model_id, prompt, negative_prompt, dialogue_number, dialogue_type, history_chat_record, chat_id,
                model_params_setting,
@ -25,8 +24,7 @@ class BaseImageGenerateNode(IImageGenerateNode):
                **kwargs) -> NodeResult:
        print(model_params_setting)
        application = self.workflow_manage.work_flow_post_handler.chat_info.application
-        tti_model = get_model_instance_by_model_user_id(model_id, self.flow_params_serializer.data.get('user_id'),
-                                                        **model_params_setting)
+        tti_model = get_model_instance_by_model_user_id(model_id, self.flow_params_serializer.data.get('user_id'), **model_params_setting)
        history_message = self.get_history_message(history_chat_record, dialogue_number)
        self.context['history_message'] = history_message
        question = self.generate_prompt_question(prompt)
--- a/apps/application/flow/step_node/image_understand_step_node/impl/base_image_understand_node.py
+++ b/apps/application/flow/step_node/image_understand_step_node/impl/base_image_understand_node.py
@ -69,8 +69,7 @@ class BaseImageUnderstandNode(IImageUnderstandNode):
    def save_context(self, details, workflow_manage):
        self.context['answer'] = details.get('answer')
        self.context['question'] = details.get('question')
-        if self.node_params.get('is_result', False):
-            self.answer_text = details.get('answer')
+        self.answer_text = details.get('answer')

    def execute(self, model_id, system, prompt, dialogue_number, dialogue_type, history_chat_record, stream, chat_id,
                model_params_setting,
--- a/apps/application/flow/step_node/mcp_node/impl/base_mcp_node.py
+++ b/apps/application/flow/step_node/mcp_node/impl/base_mcp_node.py
@ -14,8 +14,7 @@ class BaseMcpNode(IMcpNode):
        self.context['result'] = details.get('result')
        self.context['tool_params'] = details.get('tool_params')
        self.context['mcp_tool'] = details.get('mcp_tool')
-        if self.node_params.get('is_result', False):
-            self.answer_text = details.get('result')
+        self.answer_text = details.get('result')

    def execute(self, mcp_servers, mcp_server, mcp_tool, tool_params, **kwargs) -> NodeResult:
        servers = json.loads(mcp_servers)
@ -28,8 +27,7 @@ class BaseMcpNode(IMcpNode):
                return s

        res = asyncio.run(call_tool(servers, mcp_server, mcp_tool, params))
-        return NodeResult(
-            {'result': [content.text for content in res.content], 'tool_params': params, 'mcp_tool': mcp_tool}, {})
+        return NodeResult({'result': [content.text for content in res.content], 'tool_params': params, 'mcp_tool': mcp_tool}, {})

    def handle_variables(self, tool_params):
        # 处理参数中的变量
--- a/apps/application/flow/step_node/question_node/impl/base_question_node.py
+++ b/apps/application/flow/step_node/question_node/impl/base_question_node.py
@ -80,8 +80,7 @@ class BaseQuestionNode(IQuestionNode):
        self.context['answer'] = details.get('answer')
        self.context['message_tokens'] = details.get('message_tokens')
        self.context['answer_tokens'] = details.get('answer_tokens')
-        if self.node_params.get('is_result', False):
-            self.answer_text = details.get('answer')
+        self.answer_text = details.get('answer')

    def execute(self, model_id, system, prompt, dialogue_number, history_chat_record, stream, chat_id, chat_record_id,
                model_params_setting=None,
--- a/apps/application/flow/step_node/speech_to_text_step_node/impl/base_speech_to_text_node.py
+++ b/apps/application/flow/step_node/speech_to_text_step_node/impl/base_speech_to_text_node.py
@ -18,8 +18,7 @@ class BaseSpeechToTextNode(ISpeechToTextNode):

    def save_context(self, details, workflow_manage):
        self.context['answer'] = details.get('answer')
-        if self.node_params.get('is_result', False):
-            self.answer_text = details.get('answer')
+        self.answer_text = details.get('answer')

    def execute(self, stt_model_id, chat_id, audio, **kwargs) -> NodeResult:
        stt_model = get_model_instance_by_model_user_id(stt_model_id, self.flow_params_serializer.data.get('user_id'))
--- a/apps/application/flow/step_node/start_node/impl/base_start_node.py
+++ b/apps/application/flow/step_node/start_node/impl/base_start_node.py
@ -45,8 +45,6 @@ class BaseStartStepNode(IStarNode):
        self.err_message = details.get('err_message')
        for key, value in workflow_variable.items():
            workflow_manage.context[key] = value
-        for item in details.get('global_fields', []):
-            workflow_manage.context[item.get('key')] = item.get('value')

    def get_node_params_serializer_class(self) -> Type[serializers.Serializer]:
        pass
--- a/apps/application/flow/step_node/text_to_speech_step_node/impl/base_text_to_speech_node.py
+++ b/apps/application/flow/step_node/text_to_speech_step_node/impl/base_text_to_speech_node.py
@ -37,8 +37,7 @@ def bytes_to_uploaded_file(file_bytes, file_name="generated_audio.mp3"):
 class BaseTextToSpeechNode(ITextToSpeechNode):
    def save_context(self, details, workflow_manage):
        self.context['answer'] = details.get('answer')
-        if self.node_params.get('is_result', False):
-            self.answer_text = details.get('answer')
+        self.answer_text = details.get('answer')

    def execute(self, tts_model_id, chat_id,
                content, model_params_setting=None,
--- a/apps/application/serializers/application_serializers.py
+++ b/apps/application/serializers/application_serializers.py
@ -148,12 +148,10 @@ class ModelSettingSerializer(serializers.Serializer):
                                                        error_messages=ErrMessage.char(_("Thinking process switch")))
    reasoning_content_start = serializers.CharField(required=False, allow_null=True, default="<think>",
                                                    allow_blank=True, max_length=256,
-                                                    trim_whitespace=False,
                                                    error_messages=ErrMessage.char(
                                                        _("The thinking process begins to mark")))
    reasoning_content_end = serializers.CharField(required=False, allow_null=True, allow_blank=True, default="</think>",
                                                  max_length=256,
-                                                  trim_whitespace=False,
                                                  error_messages=ErrMessage.char(_("End of thinking process marker")))


@ -164,7 +162,7 @@ class ApplicationWorkflowSerializer(serializers.Serializer):
                                 max_length=256, min_length=1,
                                 error_messages=ErrMessage.char(_("Application Description")))
    work_flow = serializers.DictField(required=False, error_messages=ErrMessage.dict(_("Workflow Objects")))
-    prologue = serializers.CharField(required=False, allow_null=True, allow_blank=True, max_length=102400,
+    prologue = serializers.CharField(required=False, allow_null=True, allow_blank=True, max_length=4096,
                                     error_messages=ErrMessage.char(_("Opening remarks")))

    @staticmethod
@ -227,7 +225,7 @@ class ApplicationSerializer(serializers.Serializer):
                                               min_value=0,
                                               max_value=1024,
                                               error_messages=ErrMessage.integer(_("Historical chat records")))
-    prologue = serializers.CharField(required=False, allow_null=True, allow_blank=True, max_length=102400,
+    prologue = serializers.CharField(required=False, allow_null=True, allow_blank=True, max_length=4096,
                                     error_messages=ErrMessage.char(_("Opening remarks")))
    dataset_id_list = serializers.ListSerializer(required=False, child=serializers.UUIDField(required=True),
                                                 allow_null=True,
@ -495,7 +493,7 @@ class ApplicationSerializer(serializers.Serializer):
                                                   min_value=0,
                                                   max_value=1024,
                                                   error_messages=ErrMessage.integer(_("Historical chat records")))
-        prologue = serializers.CharField(required=False, allow_null=True, allow_blank=True, max_length=102400,
+        prologue = serializers.CharField(required=False, allow_null=True, allow_blank=True, max_length=4096,
                                         error_messages=ErrMessage.char(_("Opening remarks")))
        dataset_id_list = serializers.ListSerializer(required=False, child=serializers.UUIDField(required=True),
                                                     error_messages=ErrMessage.list(_("Related Knowledge Base"))
@ -1012,8 +1010,7 @@ class ApplicationSerializer(serializers.Serializer):
                 'stt_autosend': application.stt_autosend,
                 'file_upload_enable': application.file_upload_enable,
                 'file_upload_setting': application.file_upload_setting,
-                 'work_flow': {'nodes': [node for node in ((application.work_flow or {}).get('nodes', []) or []) if
-                                         node.get('id') == 'base-node']},
+                 'work_flow': application.work_flow,
                 'show_source': application_access_token.show_source,
                 'language': application_access_token.language,
                 **application_setting_dict})
@ -1325,8 +1322,6 @@ class ApplicationSerializer(serializers.Serializer):
        def get_mcp_servers(self, with_valid=True):
            if with_valid:
                self.is_valid(raise_exception=True)
-                if '"stdio"' in self.data.get('mcp_servers'):
-                    raise AppApiException(500, _('stdio is not supported'))
            servers = json.loads(self.data.get('mcp_servers'))

            async def get_mcp_tools(servers):
--- a/apps/application/serializers/chat_serializers.py
+++ b/apps/application/serializers/chat_serializers.py
@ -174,14 +174,7 @@ class ChatSerializers(serializers.Serializer):
                condition = base_condition & min_trample_query
            else:
                condition = base_condition
-            inner_queryset = QuerySet(Chat).filter(application_id=self.data.get("application_id"))
-            if 'abstract' in self.data and self.data.get('abstract') is not None:
-                inner_queryset = inner_queryset.filter(abstract__icontains=self.data.get('abstract'))
-
-            return {
-                'inner_queryset': inner_queryset,
-                'default_queryset': query_set.filter(condition).order_by("-application_chat.update_time")
-            }
+            return query_set.filter(condition).order_by("-application_chat.update_time")

        def list(self, with_valid=True):
            if with_valid:
--- a/apps/application/sql/export_application_chat.sql
+++ b/apps/application/sql/export_application_chat.sql
@ -23,8 +23,6 @@ FROM
 		chat_id
 	FROM
 		application_chat_record
-	WHERE chat_id IN (
-	  SELECT id FROM application_chat ${inner_queryset})
 	GROUP BY
 		application_chat_record.chat_id
 	) chat_record_temp ON application_chat."id" = chat_record_temp.chat_id
@ -37,5 +35,4 @@ FROM
 		END as improve_paragraph_list
 		FROM
 		application_chat_record application_chat_record
-	) application_chat_record_temp ON application_chat_record_temp.chat_id = application_chat."id"
-	${default_queryset}
+	) application_chat_record_temp ON application_chat_record_temp.chat_id = application_chat."id"
--- a/apps/application/sql/list_application_chat.sql
+++ b/apps/application/sql/list_application_chat.sql
@ -11,9 +11,6 @@ FROM
 		chat_id
 	FROM
 		application_chat_record
-	WHERE chat_id IN (
-	  SELECT id FROM application_chat ${inner_queryset})
 	GROUP BY
 	application_chat_record.chat_id
-	) chat_record_temp ON application_chat."id" = chat_record_temp.chat_id
-${default_queryset}
+	) chat_record_temp ON application_chat."id" = chat_record_temp.chat_id
--- a/apps/application/swagger_api/application_api.py
+++ b/apps/application/swagger_api/application_api.py
@ -38,15 +38,6 @@ class ApplicationApi(ApiMixin):
                }
            )

-        @staticmethod
-        def get_response_body_api():
-            return openapi.Schema(
-                type=openapi.TYPE_STRING,
-                title=_("Application authentication token"),
-                description=_("Application authentication token"),
-                default="token"
-            )
-
    @staticmethod
    def get_response_body_api():
        return openapi.Schema(
@ -142,27 +133,6 @@ class ApplicationApi(ApiMixin):
                    }
                )

-            @staticmethod
-            def get_response_body_api():
-                return openapi.Schema(
-                    type=openapi.TYPE_OBJECT,
-                    properties={
-                        'id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Primary key id"),
-                                             description=_("Primary key id")),
-                        'secret_key': openapi.Schema(type=openapi.TYPE_STRING, title=_("Secret key"),
-                                                     description=_("Secret key")),
-                        'is_active': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("Is activation"),
-                                                    description=_("Is activation")),
-                        'application_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Application ID"),
-                                                         description=_("Application ID")),
-                        'allow_cross_domain': openapi.Schema(type=openapi.TYPE_BOOLEAN,
-                                                             title=_("Is cross-domain allowed"),
-                                                             description=_("Is cross-domain allowed")),
-                        'cross_domain_list': openapi.Schema(type=openapi.TYPE_ARRAY, title=_('Cross-domain list'),
-                                                            items=openapi.Schema(type=openapi.TYPE_STRING))
-                    }
-                )
-
    class AccessToken(ApiMixin):
        @staticmethod
        def get_request_params_api():
@ -201,37 +171,6 @@ class ApplicationApi(ApiMixin):
                }
            )

-        @staticmethod
-        def get_response_body_api():
-            return openapi.Schema(
-                type=openapi.TYPE_OBJECT,
-                required=[],
-                properties={
-                    'id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Primary key id"),
-                                         description=_("Primary key id")),
-                    'access_token': openapi.Schema(type=openapi.TYPE_STRING, title=_("Access Token"),
-                                                   description=_("Access Token")),
-                    'access_token_reset': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("Reset Token"),
-                                                         description=_("Reset Token")),
-
-                    'is_active': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("Is activation"),
-                                                description=_("Is activation")),
-                    'access_num': openapi.Schema(type=openapi.TYPE_NUMBER, title=_("Number of visits"),
-                                                 description=_("Number of visits")),
-                    'white_active': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("Whether to enable whitelist"),
-                                                   description=_("Whether to enable whitelist")),
-                    'white_list': openapi.Schema(type=openapi.TYPE_ARRAY,
-                                                 items=openapi.Schema(type=openapi.TYPE_STRING), title=_("Whitelist"),
-                                                 description=_("Whitelist")),
-                    'show_source': openapi.Schema(type=openapi.TYPE_BOOLEAN,
-                                                  title=_("Whether to display knowledge sources"),
-                                                  description=_("Whether to display knowledge sources")),
-                    'language': openapi.Schema(type=openapi.TYPE_STRING,
-                                               title=_("language"),
-                                               description=_("language"))
-                }
-            )
-
    class Edit(ApiMixin):
        @staticmethod
        def get_request_body_api():
@ -428,56 +367,6 @@ class ApplicationApi(ApiMixin):
                }
            )

-        @staticmethod
-        def get_response_body_api():
-            return openapi.Schema(
-                type=openapi.TYPE_OBJECT,
-                required=['id', 'name', 'desc', 'model_id', 'dialogue_number', 'dataset_setting', 'model_setting',
-                          'problem_optimization', 'stt_model_enable', 'stt_model_enable', 'tts_type',
-                          'work_flow'],
-                properties={
-                    'id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Primary key id"),
-                                         description=_("Primary key id")),
-                    'name': openapi.Schema(type=openapi.TYPE_STRING, title=_("Application Name"),
-                                           description=_("Application Name")),
-                    'desc': openapi.Schema(type=openapi.TYPE_STRING, title=_("Application Description"),
-                                           description=_("Application Description")),
-                    'model_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Model id"),
-                                               description=_("Model id")),
-                    "dialogue_number": openapi.Schema(type=openapi.TYPE_NUMBER,
-                                                      title=_("Number of multi-round conversations"),
-                                                      description=_("Number of multi-round conversations")),
-                    'prologue': openapi.Schema(type=openapi.TYPE_STRING, title=_("Opening remarks"),
-                                               description=_("Opening remarks")),
-                    'dataset_id_list': openapi.Schema(type=openapi.TYPE_ARRAY,
-                                                      items=openapi.Schema(type=openapi.TYPE_STRING),
-                                                      title=_("List of associated knowledge base IDs"),
-                                                      description=_("List of associated knowledge base IDs")),
-                    'dataset_setting': ApplicationApi.DatasetSetting.get_request_body_api(),
-                    'model_setting': ApplicationApi.ModelSetting.get_request_body_api(),
-                    'problem_optimization': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("Problem Optimization"),
-                                                           description=_("Problem Optimization"), default=True),
-                    'type': openapi.Schema(type=openapi.TYPE_STRING, title=_("Application Type"),
-                                           description=_("Application Type   SIMPLE |  WORK_FLOW")),
-                    'problem_optimization_prompt': openapi.Schema(type=openapi.TYPE_STRING,
-                                                                  title=_('Question optimization tips'),
-                                                                  description=_("Question optimization tips"),
-                                                                  default=_(
-                                                                      "() contains the user's question. Answer the guessed user's question based on the context ({question}) Requirement: Output a complete question and put it in the <data></data> tag")),
-                    'tts_model_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Text-to-speech model ID"),
-                                                   description=_("Text-to-speech model ID")),
-                    'stt_model_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Speech-to-text model id"),
-                                                   description=_("Speech-to-text model id")),
-                    'stt_model_enable': openapi.Schema(type=openapi.TYPE_STRING, title=_("Is speech-to-text enabled"),
-                                                       description=_("Is speech-to-text enabled")),
-                    'tts_model_enable': openapi.Schema(type=openapi.TYPE_STRING, title=_("Is text-to-speech enabled"),
-                                                       description=_("Is text-to-speech enabled")),
-                    'tts_type': openapi.Schema(type=openapi.TYPE_STRING, title=_("Text-to-speech type"),
-                                               description=_("Text-to-speech type")),
-                    'work_flow': ApplicationApi.WorkFlow.get_request_body_api(),
-                }
-            )
-
    class Query(ApiMixin):
        @staticmethod
        def get_request_params_api():
--- a/apps/application/swagger_api/chat_api.py
+++ b/apps/application/swagger_api/chat_api.py
@ -319,15 +319,6 @@ class ChatApi(ApiMixin):
                }
            )

-        @staticmethod
-        def get_response_body_api():
-            return openapi.Schema(
-                type=openapi.TYPE_STRING,
-                title=_("Conversation ID"),
-                description=_("Conversation ID"),
-                default="chat_id"
-            )
-
    @staticmethod
    def get_request_params_api():
        return [openapi.Parameter(name='application_id',
--- a/apps/application/views/application_views.py
+++ b/apps/application/views/application_views.py
@ -373,8 +373,7 @@ class Application(APIView):
                                 operation_id=_("Modify application API_KEY"),
                                 tags=[_('Application/API_KEY')],
                                 manual_parameters=ApplicationApi.ApiKey.Operate.get_request_params_api(),
-                                 request_body=ApplicationApi.ApiKey.Operate.get_request_body_api(),
-                                 responses=result.get_api_response(ApplicationApi.ApiKey.Operate.get_response_body_api()))
+                                 request_body=ApplicationApi.ApiKey.Operate.get_request_body_api())
            @has_permissions(ViewPermission(
                [RoleConstants.ADMIN, RoleConstants.USER],
                [lambda r, keywords: Permission(group=Group.APPLICATION, operate=Operate.MANAGE,
@ -416,8 +415,7 @@ class Application(APIView):
                             operation_id=_("Modify Application AccessToken"),
                             tags=[_('Application/Public Access')],
                             manual_parameters=ApplicationApi.AccessToken.get_request_params_api(),
-                             request_body=ApplicationApi.AccessToken.get_request_body_api(),
-                             responses=result.get_api_response(ApplicationApi.AccessToken.get_response_body_api()))
+                             request_body=ApplicationApi.AccessToken.get_request_body_api())
        @has_permissions(ViewPermission(
            [RoleConstants.ADMIN, RoleConstants.USER],
            [lambda r, keywords: Permission(group=Group.APPLICATION, operate=Operate.MANAGE,
@ -457,7 +455,6 @@ class Application(APIView):
        @swagger_auto_schema(operation_summary=_("Application Certification"),
                             operation_id=_("Application Certification"),
                             request_body=ApplicationApi.Authentication.get_request_body_api(),
-                             responses=result.get_api_response(ApplicationApi.Authentication.get_response_body_api()),
                             tags=[_("Application/Certification")],
                             security=[])
        def post(self, request: Request):
@ -475,7 +472,6 @@ class Application(APIView):
    @swagger_auto_schema(operation_summary=_("Create an application"),
                         operation_id=_("Create an application"),
                         request_body=ApplicationApi.Create.get_request_body_api(),
-                         responses=result.get_api_response(ApplicationApi.Create.get_response_body_api()),
                         tags=[_('Application')])
    @has_permissions(PermissionConstants.APPLICATION_CREATE, compare=CompareConstants.AND)
    @log(menu='Application', operate="Create an application",
--- a/apps/application/views/chat_views.py
+++ b/apps/application/views/chat_views.py
@ -94,7 +94,6 @@ class ChatView(APIView):
        @swagger_auto_schema(operation_summary=_("Get the workflow temporary session id"),
                             operation_id=_("Get the workflow temporary session id"),
                             request_body=ChatApi.OpenWorkFlowTemp.get_request_body_api(),
-                             responses=result.get_api_response(ChatApi.OpenTempChat.get_response_body_api()),
                             tags=[_("Application/Chat")])
        def post(self, request: Request):
            return result.success(ChatSerializers.OpenWorkFlowChat(
@ -107,7 +106,6 @@ class ChatView(APIView):
        @swagger_auto_schema(operation_summary=_("Get a temporary session id"),
                             operation_id=_("Get a temporary session id"),
                             request_body=ChatApi.OpenTempChat.get_request_body_api(),
-                             responses=result.get_api_response(ChatApi.OpenTempChat.get_response_body_api()),
                             tags=[_("Application/Chat")])
        @has_permissions(RoleConstants.ADMIN, RoleConstants.USER)
        def post(self, request: Request):
@ -241,10 +239,9 @@ class ChatView(APIView):
            @swagger_auto_schema(operation_summary=_("Client modifies dialogue summary"),
                                 operation_id=_("Client modifies dialogue summary"),
                                 request_body=ChatClientHistoryApi.Operate.ReAbstract.get_request_body_api(),
-                                 responses=result.get_default_response(),
                                 tags=[_("Application/Conversation Log")])
            @has_permissions(ViewPermission(
-                [RoleConstants.APPLICATION_ACCESS_TOKEN, RoleConstants.ADMIN, RoleConstants.USER],
+                [RoleConstants.APPLICATION_ACCESS_TOKEN],
                [lambda r, keywords: Permission(group=Group.APPLICATION, operate=Operate.USE,
                                                dynamic_tag=keywords.get('application_id'))],
                compare=CompareConstants.AND),
@ -421,7 +418,6 @@ class ChatView(APIView):
                                 operation_id=_("Add to Knowledge Base"),
                                 manual_parameters=ImproveApi.get_request_params_api_post(),
                                 request_body=ImproveApi.get_request_body_api_post(),
-                                 responses=result.get_default_response(),
                                 tags=[_("Application/Conversation Log/Add to Knowledge Base")]
                                 )
            @has_permissions(
--- a/apps/common/config/embedding_config.py
+++ b/apps/common/config/embedding_config.py
@ -11,50 +11,35 @@ import time

 from common.cache.mem_cache import MemCache

-_lock = threading.Lock()
-locks = {}
+lock = threading.Lock()


 class ModelManage:
    cache = MemCache('model', {})
    up_clear_time = time.time()

-    @staticmethod
-    def _get_lock(_id):
-        lock = locks.get(_id)
-        if lock is None:
-            with _lock:
-                lock = locks.get(_id)
-                if lock is None:
-                    lock = threading.Lock()
-                    locks[_id] = lock
-
-        return lock
-
    @staticmethod
    def get_model(_id, get_model):
-        model_instance = ModelManage.cache.get(_id)
-        if model_instance is None:
-            lock = ModelManage._get_lock(_id)
-            with lock:
-                model_instance = ModelManage.cache.get(_id)
-                if model_instance is None:
-                    model_instance = get_model(_id)
-                    ModelManage.cache.set(_id, model_instance, timeout=60 * 60 * 8)
-        else:
-            if model_instance.is_cache_model():
-                ModelManage.cache.touch(_id, timeout=60 * 60 * 8)
-            else:
+        # 获取锁
+        lock.acquire()
+        try:
+            model_instance = ModelManage.cache.get(_id)
+            if model_instance is None or not model_instance.is_cache_model():
                model_instance = get_model(_id)
-                ModelManage.cache.set(_id, model_instance, timeout=60 * 60 * 8)
-        ModelManage.clear_timeout_cache()
-        return model_instance
+                ModelManage.cache.set(_id, model_instance, timeout=60 * 30)
+                return model_instance
+            # 续期
+            ModelManage.cache.touch(_id, timeout=60 * 30)
+            ModelManage.clear_timeout_cache()
+            return model_instance
+        finally:
+            # 释放锁
+            lock.release()

    @staticmethod
    def clear_timeout_cache():
-        if time.time() - ModelManage.up_clear_time > 60 * 60:
-            threading.Thread(target=lambda: ModelManage.cache.clear_timeout_data()).start()
-            ModelManage.up_clear_time = time.time()
+        if time.time() - ModelManage.up_clear_time > 60:
+            ModelManage.cache.clear_timeout_data()

    @staticmethod
    def delete_key(_id):
--- a/apps/common/event/listener_manage.py
+++ b/apps/common/event/listener_manage.py
@ -238,8 +238,11 @@ class ListenerManagement:
        for key in params_dict:
            _value_ = params_dict[key]
            exec_sql = exec_sql.replace(key, str(_value_))
-        with lock:
+        lock.acquire()
+        try:
            native_update(query_set, exec_sql)
+        finally:
+            lock.release()

    @staticmethod
    def embedding_by_document(document_id, embedding_model: Embeddings, state_list=None):
@ -269,6 +272,7 @@ class ListenerManagement:
            ListenerManagement.update_status(QuerySet(Document).filter(id=document_id), TaskType.EMBEDDING,
                                             State.STARTED)

+
            # 根据段落进行向量化处理
            page_desc(QuerySet(Paragraph)
                      .annotate(
--- a/apps/common/forms/init.py
+++ b/apps/common/forms/init.py
@ -22,4 +22,3 @@ from .table_checkbox import *
 from .radio_card_field import *
 from .label import *
 from .slider_field import *
-from .switch_field import *
--- a/apps/common/forms/switch_field.py
+++ b/apps/common/forms/switch_field.py
@ -28,6 +28,6 @@ class SwitchField(BaseField):
        @param props_info:
        """

-        super().__init__('SwitchInput', label, required, default_value, relation_show_field_dict,
+        super().__init__('Switch', label, required, default_value, relation_show_field_dict,
                         {},
                         TriggerType.OPTION_LIST, attrs, props_info)
--- a/apps/common/handle/impl/table/xlsx_parse_table_handle.py
+++ b/apps/common/handle/impl/table/xlsx_parse_table_handle.py
@ -19,24 +19,36 @@ class XlsxSplitHandle(BaseParseTableHandle):

    def fill_merged_cells(self, sheet, image_dict):
        data = []
+
+        # 获取第一行作为标题行
+        headers = []
+        for idx, cell in enumerate(sheet[1]):
+            if cell.value is None:
+                headers.append(' ' * (idx + 1))
+            else:
+                headers.append(cell.value)
+
        # 从第二行开始遍历每一行
-        for row in sheet.iter_rows(values_only=False):
-            row_data = []
+        for row in sheet.iter_rows(min_row=2, values_only=False):
+            row_data = {}
            for col_idx, cell in enumerate(row):
                cell_value = cell.value
+
+                # 如果单元格为空，并且该单元格在合并单元格内，获取合并单元格的值
+                if cell_value is None:
+                    for merged_range in sheet.merged_cells.ranges:
+                        if cell.coordinate in merged_range:
+                            cell_value = sheet[merged_range.min_row][merged_range.min_col - 1].value
+                            break
+
                image = image_dict.get(cell_value, None)
                if image is not None:
                    cell_value = f'![](/api/image/{image.id})'

                # 使用标题作为键，单元格的值作为值存入字典
-                row_data.insert(col_idx, cell_value)
+                row_data[headers[col_idx]] = cell_value
            data.append(row_data)

-        for merged_range in sheet.merged_cells.ranges:
-            cell_value = data[merged_range.min_row - 1][merged_range.min_col - 1]
-            for row_index in range(merged_range.min_row, merged_range.max_row + 1):
-                for col_index in range(merged_range.min_col, merged_range.max_col + 1):
-                    data[row_index - 1][col_index - 1] = cell_value
        return data

    def handle(self, file, get_buffer, save_image):
@ -53,13 +65,11 @@ class XlsxSplitHandle(BaseParseTableHandle):
                paragraphs = []
                ws = wb[sheetname]
                data = self.fill_merged_cells(ws, image_dict)
-                if len(data) >= 2:
-                    head_list = data[0]
-                    for row_index in range(1, len(data)):
-                        row_output = "; ".join(
-                            [f"{head_list[col_index]}: {data[row_index][col_index]}" for col_index in
-                             range(0, len(data[row_index]))])
-                        paragraphs.append({'title': '', 'content': row_output})
+
+                for row in data:
+                    row_output = "; ".join([f"{key}: {value}" for key, value in row.items()])
+                    # print(row_output)
+                    paragraphs.append({'title': '', 'content': row_output})

                result.append({'name': sheetname, 'paragraphs': paragraphs})

@ -68,6 +78,7 @@ class XlsxSplitHandle(BaseParseTableHandle):
            return [{'name': file.name, 'paragraphs': []}]
        return result

+
    def get_content(self, file, save_image):
        try:
            # 加载 Excel 文件
@ -83,18 +94,18 @@ class XlsxSplitHandle(BaseParseTableHandle):
            # 如果未指定 sheet_name，则使用第一个工作表
            for sheetname in workbook.sheetnames:
                sheet = workbook[sheetname] if sheetname else workbook.active
-                data = self.fill_merged_cells(sheet, image_dict)
-                if len(data) == 0:
+                rows = self.fill_merged_cells(sheet, image_dict)
+                if len(rows) == 0:
                    continue
                # 提取表头和内容

-                headers = [f"{value}" for value in data[0]]
+                headers = [f"{key}" for key, value in rows[0].items()]

                # 构建 Markdown 表格
                md_table = '| ' + ' | '.join(headers) + ' |\n'
                md_table += '| ' + ' | '.join(['---'] * len(headers)) + ' |\n'
-                for row_index in range(1, len(data)):
-                    r = [f'{value}' for value in data[row_index]]
+                for row in rows:
+                    r = [f'{value}' for key, value in row.items()]
                    md_table += '| ' + ' | '.join(
                        [str(cell).replace('\n', '<br>') if cell is not None else '' for cell in r]) + ' |\n'

--- a/apps/common/handle/impl/xls_split_handle.py
+++ b/apps/common/handle/impl/xls_split_handle.py
@ -14,7 +14,7 @@ from common.handle.base_split_handle import BaseSplitHandle


 def post_cell(cell_value):
-    return cell_value.replace('\r\n', '<br>').replace('\n', '<br>').replace('|', '&#124;')
+    return cell_value.replace('\n', '<br>').replace('|', '&#124;')


 def row_to_md(row):
--- a/apps/common/management/commands/services/services/local_model.py
+++ b/apps/common/management/commands/services/services/local_model.py
@ -24,13 +24,12 @@ class GunicornLocalModelService(BaseService):
        os.environ.setdefault('SERVER_NAME', 'local_model')
        log_format = '%(h)s %(t)s %(L)ss "%(r)s" %(s)s %(b)s '
        bind = f'{CONFIG.get("LOCAL_MODEL_HOST")}:{CONFIG.get("LOCAL_MODEL_PORT")}'
-        worker = CONFIG.get("LOCAL_MODEL_HOST_WORKER", 1)
        cmd = [
            'gunicorn', 'smartdoc.wsgi:application',
            '-b', bind,
            '-k', 'gthread',
            '--threads', '200',
-            '-w', str(worker),
+            '-w', "1",
            '--max-requests', '10240',
            '--max-requests-jitter', '2048',
            '--access-logformat', log_format,
--- a/apps/common/util/common.py
+++ b/apps/common/util/common.py
@ -11,7 +11,6 @@ import importlib
 import io
 import mimetypes
 import pickle
-import random
 import re
 import shutil
 from functools import reduce
@ -298,14 +297,3 @@ def markdown_to_plain_text(md: str) -> str:
    # 去除首尾空格
    text = text.strip()
    return text
-
-
-SAFE_CHAR_SET = (
-        [chr(i) for i in range(65, 91) if chr(i) not in {'I', 'O'}] +  # 大写字母 A-H, J-N, P-Z
-        [chr(i) for i in range(97, 123) if chr(i) not in {'i', 'l', 'o'}] +  # 小写字母 a-h, j-n, p-z
-        [str(i) for i in range(10) if str(i) not in {'0', '1', '7'}]  # 数字 2-6, 8-9
-)
-
-
-def get_random_chars(number=4):
-    return ''.join(random.choices(SAFE_CHAR_SET, k=number))
--- a/apps/common/util/function_code.py
+++ b/apps/common/util/function_code.py
@ -7,12 +7,13 @@
    @desc:
 """
 import os
-import pickle
 import subprocess
 import sys
 import uuid
 from textwrap import dedent

+from diskcache import Cache
+
 from smartdoc.const import BASE_DIR
 from smartdoc.const import PROJECT_DIR

@ -36,8 +37,6 @@ class FunctionExecutor:
        old_mask = os.umask(0o077)
        try:
            os.makedirs(self.sandbox_path, 0o700, exist_ok=True)
-            os.makedirs(os.path.join(self.sandbox_path, 'execute'), 0o700, exist_ok=True)
-            os.makedirs(os.path.join(self.sandbox_path, 'result'), 0o700, exist_ok=True)
        finally:
            os.umask(old_mask)

@ -45,11 +44,10 @@ class FunctionExecutor:
        _id = str(uuid.uuid1())
        success = '{"code":200,"msg":"成功","data":exec_result}'
        err = '{"code":500,"msg":str(e),"data":None}'
-        result_path = f'{self.sandbox_path}/result/{_id}.result'
+        path = r'' + self.sandbox_path + ''
        _exec_code = f"""
 try:
    import os
-    import pickle
    env = dict(os.environ)
    for key in list(env.keys()):
        if key in os.environ and (key.startswith('MAXKB') or key.startswith('POSTGRES') or key.startswith('PG')):
@ -62,11 +60,13 @@ try:
    for local in locals_v:
        globals_v[local] = locals_v[local]
    exec_result=f(**keywords)
-    with open({result_path!a}, 'wb') as file:
-        file.write(pickle.dumps({success}))
+    from diskcache import Cache
+    cache = Cache({path!a})
+    cache.set({_id!a},{success})
 except Exception as e:
-    with open({result_path!a}, 'wb') as file:
-        file.write(pickle.dumps({err}))
+    from diskcache import Cache
+    cache = Cache({path!a})
+    cache.set({_id!a},{err})
 """
        if self.sandbox:
            subprocess_result = self._exec_sandbox(_exec_code, _id)
@ -74,18 +74,18 @@ except Exception as e:
            subprocess_result = self._exec(_exec_code)
        if subprocess_result.returncode == 1:
            raise Exception(subprocess_result.stderr)
-        with open(result_path, 'rb') as file:
-            result = pickle.loads(file.read())
-        os.remove(result_path)
+        cache = Cache(self.sandbox_path)
+        result = cache.get(_id)
+        cache.delete(_id)
        if result.get('code') == 200:
            return result.get('data')
        raise Exception(result.get('msg'))

    def _exec_sandbox(self, _code, _id):
-        exec_python_file = f'{self.sandbox_path}/execute/{_id}.py'
+        exec_python_file = f'{self.sandbox_path}/{_id}.py'
        with open(exec_python_file, 'w') as file:
            file.write(_code)
-            os.system(f"chown {self.user}:root {exec_python_file}")
+            os.system(f"chown {self.user}:{self.user} {exec_python_file}")
        kwargs = {'cwd': BASE_DIR}
        subprocess_result = subprocess.run(
            ['su', '-s', python_directory, '-c', "exec(open('" + exec_python_file + "').read())", self.user],
--- a/apps/common/util/rsa_util.py
+++ b/apps/common/util/rsa_util.py
@ -40,12 +40,15 @@ def generate():
 def get_key_pair():
    rsa_value = rsa_cache.get(cache_key)
    if rsa_value is None:
-        with lock:
-            rsa_value = rsa_cache.get(cache_key)
-            if rsa_value is not None:
-                return rsa_value
+        lock.acquire()
+        rsa_value = rsa_cache.get(cache_key)
+        if rsa_value is not None:
+            return rsa_value
+        try:
            rsa_value = get_key_pair_by_sql()
            rsa_cache.set(cache_key, rsa_value)
+        finally:
+            lock.release()
    return rsa_value


--- a/apps/dataset/serializers/document_serializers.py
+++ b/apps/dataset/serializers/document_serializers.py
@ -23,8 +23,6 @@ from django.db import transaction, models
 from django.db.models import QuerySet, Count
 from django.db.models.functions import Substr, Reverse
 from django.http import HttpResponse
-from django.utils.translation import get_language
-from django.utils.translation import gettext_lazy as _, gettext, to_locale
 from drf_yasg import openapi
 from openpyxl.cell.cell import ILLEGAL_CHARACTERS_RE
 from rest_framework import serializers
@ -66,6 +64,8 @@ from embedding.task.embedding import embedding_by_document, delete_embedding_by_
    embedding_by_document_list
 from setting.models import Model
 from smartdoc.conf import PROJECT_DIR
+from django.utils.translation import gettext_lazy as _, gettext, to_locale
+from django.utils.translation import get_language

 parse_qa_handle_list = [XlsParseQAHandle(), CsvParseQAHandle(), XlsxParseQAHandle(), ZipParseQAHandle()]
 parse_table_handle_list = [CsvSplitTableHandle(), XlsSplitTableHandle(), XlsxSplitTableHandle()]
@ -661,8 +661,6 @@ class DocumentSerializers(ApiMixin, serializers.Serializer):
                        cell = worksheet.cell(row=row_idx + 1, column=col_idx + 1)
                        if isinstance(col, str):
                            col = re.sub(ILLEGAL_CHARACTERS_RE, '', col)
-                            if col.startswith(('=', '+', '-', '@')):
-                                col = '\ufeff' + col
                        cell.value = col
                    # 创建HttpResponse对象返回Excel文件
            return workbook
--- a/apps/dataset/serializers/file_serializers.py
+++ b/apps/dataset/serializers/file_serializers.py
@ -28,9 +28,6 @@ mime_types = {"html": "text/html", "htm": "text/html", "shtml": "text/html", "cs
              "woff2": "font/woff2", "jar": "application/java-archive", "war": "application/java-archive",
              "ear": "application/java-archive", "json": "application/json", "hqx": "application/mac-binhex40",
              "doc": "application/msword", "pdf": "application/pdf", "ps": "application/postscript",
-              "docx": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
-              "xlsx": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
-              "pptx": "application/vnd.openxmlformats-officedocument.presentationml.presentation",
              "eps": "application/postscript", "ai": "application/postscript", "rtf": "application/rtf",
              "m3u8": "application/vnd.apple.mpegurl", "kml": "application/vnd.google-earth.kml+xml",
              "kmz": "application/vnd.google-earth.kmz", "xls": "application/vnd.ms-excel",
@ -90,4 +87,4 @@ class FileSerializer(serializers.Serializer):
                                                                          'Content-Disposition': 'attachment; filename="{}"'.format(
                                                                              file.file_name)})
            return HttpResponse(file.get_byte(), status=200,
-                                headers={'Content-Type': mime_types.get(file_type, 'text/plain')})
+                                headers={'Content-Type': mime_types.get(file.file_name.split(".")[-1], 'text/plain')})
--- a/apps/dataset/sql/update_document_char_length.sql
+++ b/apps/dataset/sql/update_document_char_length.sql
@ -2,7 +2,6 @@ UPDATE "document"
 SET "char_length" = ( SELECT CASE WHEN
 		"sum" ( "char_length" ( "content" ) ) IS NULL THEN
 			0 ELSE "sum" ( "char_length" ( "content" ) )
-		END FROM paragraph WHERE "document_id" = %s ),
-    "update_time" = CURRENT_TIMESTAMP
+		END FROM paragraph WHERE "document_id" = %s )
 WHERE
 	"id" = %s
--- a/apps/dataset/views/dataset.py
+++ b/apps/dataset/views/dataset.py
@ -181,7 +181,6 @@ class Dataset(APIView):
        @swagger_auto_schema(operation_summary=_('Generate related'), operation_id=_('Generate related'),
                             manual_parameters=DataSetSerializers.Operate.get_request_params_api(),
                             request_body=GenerateRelatedSerializer.get_request_body_api(),
-                             responses=result.get_default_response(),
                             tags=[_('Knowledge Base')]
                             )
        @log(menu='document', operate="Generate related documents",
--- a/apps/function_lib/swagger_api/function_lib_api.py
+++ b/apps/function_lib/swagger_api/function_lib_api.py
@ -195,53 +195,6 @@ class FunctionLibApi(ApiMixin):
                }
            )

-        @staticmethod
-        def get_response_body_api():
-            return openapi.Schema(
-                type=openapi.TYPE_OBJECT,
-                required=['id', 'name', 'code', 'input_field_list', 'permission_type'],
-                properties={
-                    'id': openapi.Schema(type=openapi.TYPE_STRING, title="", description=_('ID')),
-
-                    'name': openapi.Schema(type=openapi.TYPE_STRING, title=_('function name'),
-                                           description=_('function name')),
-                    'desc': openapi.Schema(type=openapi.TYPE_STRING, title=_('function description'),
-                                           description=_('function description')),
-                    'code': openapi.Schema(type=openapi.TYPE_STRING, title=_('function content'),
-                                           description=_('function content')),
-                    'permission_type': openapi.Schema(type=openapi.TYPE_STRING, title=_('permission'),
-                                                      description=_('permission')),
-                    'is_active': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_('Is active'),
-                                                description=_('Is active')),
-                    'input_field_list': openapi.Schema(type=openapi.TYPE_ARRAY,
-                                                       description=_('Input variable list'),
-                                                       items=openapi.Schema(type=openapi.TYPE_OBJECT,
-                                                                            required=['name', 'is_required', 'source'],
-                                                                            properties={
-                                                                                'name': openapi.Schema(
-                                                                                    type=openapi.TYPE_STRING,
-                                                                                    title=_('variable name'),
-                                                                                    description=_('variable name')),
-                                                                                'is_required': openapi.Schema(
-                                                                                    type=openapi.TYPE_BOOLEAN,
-                                                                                    title=_('required'),
-                                                                                    description=_('required')),
-                                                                                'type': openapi.Schema(
-                                                                                    type=openapi.TYPE_STRING,
-                                                                                    title=_('type'),
-                                                                                    description=_(
-                                                                                        'Field type string|int|dict|array|float')
-                                                                                ),
-                                                                                'source': openapi.Schema(
-                                                                                    type=openapi.TYPE_STRING,
-                                                                                    title=_('source'),
-                                                                                    description=_(
-                                                                                        'The source only supports custom|reference')),
-
-                                                                            }))
-                }
-            )
-
    class Export(ApiMixin):
        @staticmethod
        def get_request_params_api():
@ -261,4 +214,4 @@ class FunctionLibApi(ApiMixin):
                                      type=openapi.TYPE_FILE,
                                      required=True,
                                      description=_('Upload image files'))
-                    ]
+                    ]
--- a/apps/function_lib/views/function_lib_views.py
+++ b/apps/function_lib/views/function_lib_views.py
@ -44,7 +44,6 @@ class FunctionLibView(APIView):
    @swagger_auto_schema(operation_summary=_('Create function'),
                         operation_id=_('Create function'),
                         request_body=FunctionLibApi.Create.get_request_body_api(),
-                         responses=result.get_api_response(FunctionLibApi.Create.get_response_body_api()),
                         tags=[_('Function')])
    @has_permissions(RoleConstants.ADMIN, RoleConstants.USER)
    @log(menu='Function', operate="Create function",
@ -59,7 +58,6 @@ class FunctionLibView(APIView):
        @swagger_auto_schema(operation_summary=_('Debug function'),
                             operation_id=_('Debug function'),
                             request_body=FunctionLibApi.Debug.get_request_body_api(),
-                             responses=result.get_default_response(),
                             tags=[_('Function')])
        @has_permissions(RoleConstants.ADMIN, RoleConstants.USER)
        def post(self, request: Request):
@ -74,7 +72,6 @@ class FunctionLibView(APIView):
        @swagger_auto_schema(operation_summary=_('Update function'),
                             operation_id=_('Update function'),
                             request_body=FunctionLibApi.Edit.get_request_body_api(),
-                             responses=result.get_api_response(FunctionLibApi.Edit.get_request_body_api()),
                             tags=[_('Function')])
        @has_permissions(RoleConstants.ADMIN, RoleConstants.USER)
        @log(menu='Function', operate="Update function",
@ -87,7 +84,6 @@ class FunctionLibView(APIView):
        @action(methods=['DELETE'], detail=False)
        @swagger_auto_schema(operation_summary=_('Delete function'),
                             operation_id=_('Delete function'),
-                             responses=result.get_default_response(),
                             tags=[_('Function')])
        @has_permissions(RoleConstants.ADMIN, RoleConstants.USER)
        @log(menu='Function', operate="Delete function",
--- a/apps/function_lib/views/py_lint.py
+++ b/apps/function_lib/views/py_lint.py
@ -26,7 +26,6 @@ class PyLintView(APIView):
    @swagger_auto_schema(operation_summary=_('Check code'),
                         operation_id=_('Check code'),
                         request_body=PyLintApi.get_request_body_api(),
-                         responses=result.get_api_response(PyLintApi.get_request_body_api()),
                         tags=[_('Function')])
    @has_permissions(RoleConstants.ADMIN, RoleConstants.USER)
    def post(self, request: Request):
--- a/apps/locales/en_US/LC_MESSAGES/django.po
+++ b/apps/locales/en_US/LC_MESSAGES/django.po
@ -7490,13 +7490,4 @@ msgid "Field: {name} No value set"
 msgstr ""

 msgid "Generate related"
-msgstr ""
-
-msgid "Obtain graphical captcha"
-msgstr ""
-
-msgid "Captcha code error or expiration"
-msgstr ""
-
-msgid "captcha"
 msgstr ""
--- a/apps/locales/zh_CN/LC_MESSAGES/django.po
+++ b/apps/locales/zh_CN/LC_MESSAGES/django.po
@ -7653,13 +7653,4 @@ msgid "Field: {name} No value set"
 msgstr "字段: {name} 未设置值"

 msgid "Generate related"
-msgstr "生成问题"
-
-msgid "Obtain graphical captcha"
-msgstr "获取图形验证码"
-
-msgid "Captcha code error or expiration"
-msgstr "验证码错误或过期"
-
-msgid "captcha"
-msgstr "验证码"
+msgstr "生成问题"
--- a/apps/locales/zh_Hant/LC_MESSAGES/django.po
+++ b/apps/locales/zh_Hant/LC_MESSAGES/django.po
@ -7663,13 +7663,4 @@ msgid "Field: {name} No value set"
 msgstr "欄位: {name} 未設定值"

 msgid "Generate related"
-msgstr "生成問題"
-
-msgid "Obtain graphical captcha"
-msgstr "獲取圖形驗證碼"
-
-msgid "Captcha code error or expiration"
-msgstr "驗證碼錯誤或過期"
-
-msgid "captcha"
-msgstr "驗證碼"
+msgstr "生成問題"
--- a/apps/setting/models_provider/constants/model_provider_constants.py
+++ b/apps/setting/models_provider/constants/model_provider_constants.py
@ -19,8 +19,6 @@ from setting.models_provider.impl.kimi_model_provider.kimi_model_provider import
 from setting.models_provider.impl.ollama_model_provider.ollama_model_provider import OllamaModelProvider
 from setting.models_provider.impl.openai_model_provider.openai_model_provider import OpenAIModelProvider
 from setting.models_provider.impl.qwen_model_provider.qwen_model_provider import QwenModelProvider
-from setting.models_provider.impl.regolo_model_provider.regolo_model_provider import \
-    RegoloModelProvider
 from setting.models_provider.impl.siliconCloud_model_provider.siliconCloud_model_provider import \
    SiliconCloudModelProvider
 from setting.models_provider.impl.tencent_cloud_model_provider.tencent_cloud_model_provider import \
@ -57,4 +55,3 @@ class ModelProvideConstants(Enum):
    aliyun_bai_lian_model_provider = AliyunBaiLianModelProvider()
    model_anthropic_provider = AnthropicModelProvider()
    model_siliconCloud_provider = SiliconCloudModelProvider()
-    model_regolo_provider = RegoloModelProvider()
--- a/apps/setting/models_provider/impl/aliyun_bai_lian_model_provider/aliyun_bai_lian_model_provider.py
+++ b/apps/setting/models_provider/impl/aliyun_bai_lian_model_provider/aliyun_bai_lian_model_provider.py
@ -51,23 +51,6 @@ model_info_list = [ModelInfo('gte-rerank',
                             _("Universal text vector is Tongyi Lab's multi-language text unified vector model based on the LLM base. It provides high-level vector services for multiple mainstream languages around the world and helps developers quickly convert text data into high-quality vector data."),
                             ModelTypeConst.EMBEDDING, aliyun_bai_lian_embedding_model_credential,
                             AliyunBaiLianEmbedding),
-                   ModelInfo('qwen3-0.6b', '', ModelTypeConst.LLM, aliyun_bai_lian_llm_model_credential,
-                             BaiLianChatModel),
-                   ModelInfo('qwen3-1.7b', '', ModelTypeConst.LLM, aliyun_bai_lian_llm_model_credential,
-                             BaiLianChatModel),
-                   ModelInfo('qwen3-4b', '', ModelTypeConst.LLM, aliyun_bai_lian_llm_model_credential,
-                             BaiLianChatModel),
-                   ModelInfo('qwen3-8b', '', ModelTypeConst.LLM, aliyun_bai_lian_llm_model_credential,
-                             BaiLianChatModel),
-                   ModelInfo('qwen3-14b', '', ModelTypeConst.LLM, aliyun_bai_lian_llm_model_credential,
-                             BaiLianChatModel),
-                   ModelInfo('qwen3-32b', '', ModelTypeConst.LLM, aliyun_bai_lian_llm_model_credential,
-                             BaiLianChatModel),
-                   ModelInfo('qwen3-30b-a3b', '', ModelTypeConst.LLM, aliyun_bai_lian_llm_model_credential,
-                             BaiLianChatModel),
-                   ModelInfo('qwen3-235b-a22b', '', ModelTypeConst.LLM, aliyun_bai_lian_llm_model_credential,
-                             BaiLianChatModel),
-
                   ModelInfo('qwen-turbo', '', ModelTypeConst.LLM, aliyun_bai_lian_llm_model_credential,
                             BaiLianChatModel),
                   ModelInfo('qwen-plus', '', ModelTypeConst.LLM, aliyun_bai_lian_llm_model_credential,
--- a/apps/setting/models_provider/impl/aliyun_bai_lian_model_provider/credential/llm.py
+++ b/apps/setting/models_provider/impl/aliyun_bai_lian_model_provider/credential/llm.py
@ -30,29 +30,6 @@ class BaiLianLLMModelParams(BaseForm):
        precision=0)


-class BaiLianLLMStreamModelParams(BaseForm):
-    temperature = forms.SliderField(TooltipLabel(_('Temperature'),
-                                                 _('Higher values make the output more random, while lower values make it more focused and deterministic')),
-                                    required=True, default_value=0.7,
-                                    _min=0.1,
-                                    _max=1.0,
-                                    _step=0.01,
-                                    precision=2)
-
-    max_tokens = forms.SliderField(
-        TooltipLabel(_('Output the maximum Tokens'),
-                     _('Specify the maximum number of tokens that the model can generate')),
-        required=True, default_value=800,
-        _min=1,
-        _max=100000,
-        _step=1,
-        precision=0)
-
-    stream = forms.SwitchField(label=TooltipLabel(_('Is the answer in streaming mode'),
-                                                  _('Is the answer in streaming mode')),
-                               required=True, default_value=True)
-
-
 class BaiLianLLMModelCredential(BaseForm, BaseModelCredential):

    def is_valid(self, model_type: str, model_name, model_credential: Dict[str, object], model_params, provider,
@ -70,11 +47,7 @@ class BaiLianLLMModelCredential(BaseForm, BaseModelCredential):
                    return False
        try:
            model = provider.get_model(model_type, model_name, model_credential, **model_params)
-            if model_params.get('stream'):
-                for res in model.stream([HumanMessage(content=gettext('Hello'))]):
-                    pass
-            else:
-                model.invoke([HumanMessage(content=gettext('Hello'))])
+            model.invoke([HumanMessage(content=gettext('Hello'))])
        except Exception as e:
            traceback.print_exc()
            if isinstance(e, AppApiException):
@ -95,6 +68,4 @@ class BaiLianLLMModelCredential(BaseForm, BaseModelCredential):
    api_key = forms.PasswordInputField('API Key', required=True)

    def get_model_params_setting_form(self, model_name):
-        if 'qwen3' in model_name:
-            return BaiLianLLMStreamModelParams()
        return BaiLianLLMModelParams()
--- a/apps/setting/models_provider/impl/base_chat_open_ai.py
+++ b/apps/setting/models_provider/impl/base_chat_open_ai.py
@ -24,11 +24,10 @@ def _convert_delta_to_message_chunk(
        _dict: Mapping[str, Any], default_class: type[BaseMessageChunk]
 ) -> BaseMessageChunk:
    id_ = _dict.get("id")
+    reasoning_content = cast(str, _dict.get("reasoning_content") or "")
    role = cast(str, _dict.get("role"))
    content = cast(str, _dict.get("content") or "")
-    additional_kwargs: dict = {}
-    if 'reasoning_content' in _dict:
-        additional_kwargs['reasoning_content'] = _dict.get('reasoning_content')
+    additional_kwargs: dict = {'reasoning_content': reasoning_content}
    if _dict.get("function_call"):
        function_call = dict(_dict["function_call"])
        if "name" in function_call and function_call["name"] is None:
@ -133,7 +132,7 @@ class BaseChatOpenAI(ChatOpenAI):
        )

        usage_metadata: Optional[UsageMetadata] = (
-            _create_usage_metadata(token_usage) if token_usage and token_usage.get("prompt_tokens") else None
+            _create_usage_metadata(token_usage) if token_usage else None
        )
        if len(choices) == 0:
            # logprobs is implicitly None
--- a/apps/setting/models_provider/impl/gemini_model_provider/model/llm.py
+++ b/apps/setting/models_provider/impl/gemini_model_provider/model/llm.py
@ -13,7 +13,7 @@ from google.ai.generativelanguage_v1beta.types import (
    Tool as GoogleTool,
 )
 from langchain_core.callbacks import CallbackManagerForLLMRun
-from langchain_core.messages import BaseMessage, get_buffer_string
+from langchain_core.messages import BaseMessage
 from langchain_core.outputs import ChatGenerationChunk
 from langchain_google_genai import ChatGoogleGenerativeAI
 from langchain_google_genai._function_utils import _ToolConfigDict, _ToolDict
@ -22,8 +22,6 @@ from langchain_google_genai.chat_models import _chat_with_retry, _response_to_re
 from langchain_google_genai._common import (
    SafetySettingDict,
 )
-
-from common.config.tokenizer_manage_config import TokenizerManage
 from setting.models_provider.base_model_provider import MaxKBBaseModel


@ -48,18 +46,10 @@ class GeminiChatModel(MaxKBBaseModel, ChatGoogleGenerativeAI):
        return self.__dict__.get('_last_generation_info')

    def get_num_tokens_from_messages(self, messages: List[BaseMessage]) -> int:
-        try:
-            return self.get_last_generation_info().get('input_tokens', 0)
-        except Exception as e:
-            tokenizer = TokenizerManage.get_tokenizer()
-            return sum([len(tokenizer.encode(get_buffer_string([m]))) for m in messages])
+        return self.get_last_generation_info().get('input_tokens', 0)

    def get_num_tokens(self, text: str) -> int:
-        try:
-            return self.get_last_generation_info().get('output_tokens', 0)
-        except Exception as e:
-            tokenizer = TokenizerManage.get_tokenizer()
-            return len(tokenizer.encode(text))
+        return self.get_last_generation_info().get('output_tokens', 0)

    def _stream(
            self,
--- a/apps/setting/models_provider/impl/ollama_model_provider/credential/llm.py
+++ b/apps/setting/models_provider/impl/ollama_model_provider/credential/llm.py
@ -25,7 +25,7 @@ class OllamaLLMModelParams(BaseForm):
                                    _step=0.01,
                                    precision=2)

-    num_predict = forms.SliderField(
+    max_tokens = forms.SliderField(
        TooltipLabel(_('Output the maximum Tokens'),
                     _('Specify the maximum number of tokens that the model can generate')),
        required=True, default_value=1024,
--- a/apps/setting/models_provider/impl/regolo_model_provider/init.py
+++ b/apps/setting/models_provider/impl/regolo_model_provider/init.py
@ -1,8 +0,0 @@
-# coding=utf-8
-"""
-    @project: maxkb
-    @Author：虎
-    @file： __init__.py.py
-    @date：2024/3/28 16:25
-    @desc:
-"""
--- a/apps/setting/models_provider/impl/regolo_model_provider/credential/embedding.py
+++ b/apps/setting/models_provider/impl/regolo_model_provider/credential/embedding.py
@ -1,52 +0,0 @@
-# coding=utf-8
-"""
-    @project: MaxKB
-    @Author：虎
-    @file： embedding.py
-    @date：2024/7/12 16:45
-    @desc:
-"""
-import traceback
-from typing import Dict
-
-from django.utils.translation import gettext as _
-
-from common import forms
-from common.exception.app_exception import AppApiException
-from common.forms import BaseForm
-from setting.models_provider.base_model_provider import BaseModelCredential, ValidCode
-
-
-class RegoloEmbeddingCredential(BaseForm, BaseModelCredential):
-    def is_valid(self, model_type: str, model_name, model_credential: Dict[str, object], model_params, provider,
-                 raise_exception=True):
-        model_type_list = provider.get_model_type_list()
-        if not any(list(filter(lambda mt: mt.get('value') == model_type, model_type_list))):
-            raise AppApiException(ValidCode.valid_error.value,
-                                  _('{model_type} Model type is not supported').format(model_type=model_type))
-
-        for key in ['api_key']:
-            if key not in model_credential:
-                if raise_exception:
-                    raise AppApiException(ValidCode.valid_error.value, _('{key}  is required').format(key=key))
-                else:
-                    return False
-        try:
-            model = provider.get_model(model_type, model_name, model_credential)
-            model.embed_query(_('Hello'))
-        except Exception as e:
-            traceback.print_exc()
-            if isinstance(e, AppApiException):
-                raise e
-            if raise_exception:
-                raise AppApiException(ValidCode.valid_error.value,
-                                      _('Verification failed, please check whether the parameters are correct: {error}').format(
-                                          error=str(e)))
-            else:
-                return False
-        return True
-
-    def encryption_dict(self, model: Dict[str, object]):
-        return {**model, 'api_key': super().encryption(model.get('api_key', ''))}
-
-    api_key = forms.PasswordInputField('API Key', required=True)
--- a/apps/setting/models_provider/impl/regolo_model_provider/credential/image.py
+++ b/apps/setting/models_provider/impl/regolo_model_provider/credential/image.py
@ -1,74 +0,0 @@
-# coding=utf-8
-import base64
-import os
-import traceback
-from typing import Dict
-
-from langchain_core.messages import HumanMessage
-
-from common import forms
-from common.exception.app_exception import AppApiException
-from common.forms import BaseForm, TooltipLabel
-from setting.models_provider.base_model_provider import BaseModelCredential, ValidCode
-from django.utils.translation import gettext_lazy as _, gettext
-
-
-class RegoloImageModelParams(BaseForm):
-    temperature = forms.SliderField(TooltipLabel(_('Temperature'),
-                                                 _('Higher values make the output more random, while lower values make it more focused and deterministic')),
-                                    required=True, default_value=0.7,
-                                    _min=0.1,
-                                    _max=1.0,
-                                    _step=0.01,
-                                    precision=2)
-
-    max_tokens = forms.SliderField(
-        TooltipLabel(_('Output the maximum Tokens'),
-                     _('Specify the maximum number of tokens that the model can generate')),
-        required=True, default_value=800,
-        _min=1,
-        _max=100000,
-        _step=1,
-        precision=0)
-
-
-class RegoloImageModelCredential(BaseForm, BaseModelCredential):
-    api_base = forms.TextInputField('API URL', required=True)
-    api_key = forms.PasswordInputField('API Key', required=True)
-
-    def is_valid(self, model_type: str, model_name, model_credential: Dict[str, object], model_params, provider,
-                 raise_exception=False):
-        model_type_list = provider.get_model_type_list()
-        if not any(list(filter(lambda mt: mt.get('value') == model_type, model_type_list))):
-            raise AppApiException(ValidCode.valid_error.value,
-                                  gettext('{model_type} Model type is not supported').format(model_type=model_type))
-
-        for key in ['api_key']:
-            if key not in model_credential:
-                if raise_exception:
-                    raise AppApiException(ValidCode.valid_error.value, gettext('{key}  is required').format(key=key))
-                else:
-                    return False
-        try:
-            model = provider.get_model(model_type, model_name, model_credential, **model_params)
-            res = model.stream([HumanMessage(content=[{"type": "text", "text": gettext('Hello')}])])
-            for chunk in res:
-                print(chunk)
-        except Exception as e:
-            traceback.print_exc()
-            if isinstance(e, AppApiException):
-                raise e
-            if raise_exception:
-                raise AppApiException(ValidCode.valid_error.value,
-                                      gettext(
-                                          'Verification failed, please check whether the parameters are correct: {error}').format(
-                                          error=str(e)))
-            else:
-                return False
-        return True
-
-    def encryption_dict(self, model: Dict[str, object]):
-        return {**model, 'api_key': super().encryption(model.get('api_key', ''))}
-
-    def get_model_params_setting_form(self, model_name):
-        return RegoloImageModelParams()
--- a/apps/setting/models_provider/impl/regolo_model_provider/credential/llm.py
+++ b/apps/setting/models_provider/impl/regolo_model_provider/credential/llm.py
@ -1,78 +0,0 @@
-# coding=utf-8
-"""
-    @project: MaxKB
-    @Author：虎
-    @file： llm.py
-    @date：2024/7/11 18:32
-    @desc:
-"""
-import traceback
-from typing import Dict
-
-from django.utils.translation import gettext_lazy as _, gettext
-from langchain_core.messages import HumanMessage
-
-from common import forms
-from common.exception.app_exception import AppApiException
-from common.forms import BaseForm, TooltipLabel
-from setting.models_provider.base_model_provider import BaseModelCredential, ValidCode
-
-
-class RegoloLLMModelParams(BaseForm):
-    temperature = forms.SliderField(TooltipLabel(_('Temperature'),
-                                                 _('Higher values make the output more random, while lower values make it more focused and deterministic')),
-                                    required=True, default_value=0.7,
-                                    _min=0.1,
-                                    _max=1.0,
-                                    _step=0.01,
-                                    precision=2)
-
-    max_tokens = forms.SliderField(
-        TooltipLabel(_('Output the maximum Tokens'),
-                     _('Specify the maximum number of tokens that the model can generate')),
-        required=True, default_value=800,
-        _min=1,
-        _max=100000,
-        _step=1,
-        precision=0)
-
-
-class RegoloLLMModelCredential(BaseForm, BaseModelCredential):
-
-    def is_valid(self, model_type: str, model_name, model_credential: Dict[str, object], model_params, provider,
-                 raise_exception=False):
-        model_type_list = provider.get_model_type_list()
-        if not any(list(filter(lambda mt: mt.get('value') == model_type, model_type_list))):
-            raise AppApiException(ValidCode.valid_error.value,
-                                  gettext('{model_type} Model type is not supported').format(model_type=model_type))
-
-        for key in ['api_key']:
-            if key not in model_credential:
-                if raise_exception:
-                    raise AppApiException(ValidCode.valid_error.value, gettext('{key}  is required').format(key=key))
-                else:
-                    return False
-        try:
-
-            model = provider.get_model(model_type, model_name, model_credential, **model_params)
-            model.invoke([HumanMessage(content=gettext('Hello'))])
-        except Exception as e:
-            traceback.print_exc()
-            if isinstance(e, AppApiException):
-                raise e
-            if raise_exception:
-                raise AppApiException(ValidCode.valid_error.value,
-                                      gettext(
-                                          'Verification failed, please check whether the parameters are correct: {error}').format(
-                                          error=str(e)))
-            else:
-                return False
-        return True
-
-    def encryption_dict(self, model: Dict[str, object]):
-        return {**model, 'api_key': super().encryption(model.get('api_key', ''))}
-
-    api_key = forms.PasswordInputField('API Key', required=True)
-
-    def get_model_params_setting_form(self, model_name):
-        return RegoloLLMModelParams()
--- a/apps/setting/models_provider/impl/regolo_model_provider/credential/tti.py
+++ b/apps/setting/models_provider/impl/regolo_model_provider/credential/tti.py
@ -1,89 +0,0 @@
-# coding=utf-8
-import traceback
-from typing import Dict
-
-from django.utils.translation import gettext_lazy as _, gettext
-
-from common import forms
-from common.exception.app_exception import AppApiException
-from common.forms import BaseForm, TooltipLabel
-from setting.models_provider.base_model_provider import BaseModelCredential, ValidCode
-
-
-class RegoloTTIModelParams(BaseForm):
-    size = forms.SingleSelect(
-        TooltipLabel(_('Image size'),
-                     _('The image generation endpoint allows you to create raw images based on text prompts. ')),
-        required=True,
-        default_value='1024x1024',
-        option_list=[
-            {'value': '1024x1024', 'label': '1024x1024'},
-            {'value': '1024x1792', 'label': '1024x1792'},
-            {'value': '1792x1024', 'label': '1792x1024'},
-        ],
-        text_field='label',
-        value_field='value'
-    )
-
-    quality = forms.SingleSelect(
-        TooltipLabel(_('Picture quality'), _('''       
-By default, images are produced in standard quality.
-        ''')),
-        required=True,
-        default_value='standard',
-        option_list=[
-            {'value': 'standard', 'label': 'standard'},
-            {'value': 'hd', 'label': 'hd'},
-        ],
-        text_field='label',
-        value_field='value'
-    )
-
-    n = forms.SliderField(
-        TooltipLabel(_('Number of pictures'),
-                     _('1 as default')),
-        required=True, default_value=1,
-        _min=1,
-        _max=10,
-        _step=1,
-        precision=0)
-
-
-class RegoloTextToImageModelCredential(BaseForm, BaseModelCredential):
-    api_key = forms.PasswordInputField('API Key', required=True)
-
-    def is_valid(self, model_type: str, model_name, model_credential: Dict[str, object], model_params, provider,
-                 raise_exception=False):
-        model_type_list = provider.get_model_type_list()
-        if not any(list(filter(lambda mt: mt.get('value') == model_type, model_type_list))):
-            raise AppApiException(ValidCode.valid_error.value,
-                                  gettext('{model_type} Model type is not supported').format(model_type=model_type))
-
-        for key in ['api_key']:
-            if key not in model_credential:
-                if raise_exception:
-                    raise AppApiException(ValidCode.valid_error.value, gettext('{key}  is required').format(key=key))
-                else:
-                    return False
-        try:
-            model = provider.get_model(model_type, model_name, model_credential, **model_params)
-            res = model.check_auth()
-            print(res)
-        except Exception as e:
-            traceback.print_exc()
-            if isinstance(e, AppApiException):
-                raise e
-            if raise_exception:
-                raise AppApiException(ValidCode.valid_error.value,
-                                      gettext(
-                                          'Verification failed, please check whether the parameters are correct: {error}').format(
-                                          error=str(e)))
-            else:
-                return False
-        return True
-
-    def encryption_dict(self, model: Dict[str, object]):
-        return {**model, 'api_key': super().encryption(model.get('api_key', ''))}
-
-    def get_model_params_setting_form(self, model_name):
-        return RegoloTTIModelParams()
--- a/apps/setting/models_provider/impl/regolo_model_provider/icon/regolo_icon_svg
+++ b/apps/setting/models_provider/impl/regolo_model_provider/icon/regolo_icon_svg
@ -1,64 +0,0 @@
-<?xml version="1.0" encoding="UTF-8" standalone="no"?>
-<svg
-   id="Livello_2"
-   data-name="Livello 2"
-   viewBox="0 0 104.4 104.38"
-   version="1.1"
-   sodipodi:docname="Regolo_logo_positive.svg"
-   width="100%" height="100%"
-   inkscape:version="1.4 (e7c3feb100, 2024-10-09)"
-   xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
-   xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
-   xmlns="http://www.w3.org/2000/svg"
-   xmlns:svg="http://www.w3.org/2000/svg">
-  <sodipodi:namedview
-     id="namedview13"
-     pagecolor="#ffffff"
-     bordercolor="#666666"
-     borderopacity="1.0"
-     inkscape:showpageshadow="2"
-     inkscape:pageopacity="0.0"
-     inkscape:pagecheckerboard="0"
-     inkscape:deskcolor="#d1d1d1"
-     inkscape:zoom="2.1335227"
-     inkscape:cx="119.05193"
-     inkscape:cy="48.511318"
-     inkscape:window-width="1920"
-     inkscape:window-height="1025"
-     inkscape:window-x="0"
-     inkscape:window-y="0"
-     inkscape:window-maximized="1"
-     inkscape:current-layer="g13" />
-  <defs
-     id="defs1">
-    <style
-       id="style1">
-      .cls-1 {
-        fill: #303030;
-      }
-
-      .cls-2 {
-        fill: #59e389;
-      }
-    </style>
-  </defs>
-  <g
-     id="Grafica"
-     transform="translate(0,-40.87)">
-    <g
-       id="g13">
-      <path
-         class="cls-1"
-         d="m 104.39,105.96 v 36.18 c 0,0.32 -0.05,0.62 -0.14,0.91 -0.39,1.27 -1.58,2.2 -2.99,2.2 H 65.08 c -1.73,0 -3.13,-1.41 -3.13,-3.13 V 113.4 c 0,-0.15 0,-0.29 0,-0.44 v -7 c 0,-1.73 1.4,-3.13 3.13,-3.13 h 36.19 c 1.5,0 2.77,1.07 3.06,2.5 0.05,0.21 0.07,0.41 0.07,0.63 z"
-         id="path1" />
-      <path
-         class="cls-1"
-         d="m 104.39,105.96 v 36.18 c 0,0.32 -0.05,0.62 -0.14,0.91 -0.39,1.27 -1.58,2.2 -2.99,2.2 H 65.08 c -1.73,0 -3.13,-1.41 -3.13,-3.13 V 113.4 c 0,-0.15 0,-0.29 0,-0.44 v -7 c 0,-1.73 1.4,-3.13 3.13,-3.13 h 36.19 c 1.5,0 2.77,1.07 3.06,2.5 0.05,0.21 0.07,0.41 0.07,0.63 z"
-         id="path2" />
-      <path
-         class="cls-2"
-         d="M 101.27,40.88 H 65.09 c -1.73,0 -3.13,1.4 -3.13,3.13 v 28.71 c 0,4.71 -1.88,9.23 -5.2,12.56 L 44.42,97.61 c -3.32,3.33 -7.85,5.2 -12.55,5.2 H 18.98 c -2.21,0 -3.99,-1.79 -3.99,-3.99 V 87.29 c 0,-2.21 1.79,-3.99 3.99,-3.99 h 20.34 c 1.41,0 2.59,-0.93 2.99,-2.2 0.09,-0.29 0.14,-0.59 0.14,-0.91 V 44 c 0,-0.22 -0.02,-0.42 -0.07,-0.63 -0.29,-1.43 -1.56,-2.5 -3.06,-2.5 H 3.13 C 1.4,40.87 0,42.27 0,44 v 7 c 0,0.15 0,0.29 0,0.44 v 28.72 c 0,1.72 1.41,3.13 3.13,3.13 h 3.16 c 2.21,0 3.99,1.79 3.99,3.99 v 11.53 c 0,2.21 -1.79,3.99 -3.99,3.99 H 3.15 c -1.73,0 -3.13,1.4 -3.13,3.13 v 36.19 c 0,1.72 1.41,3.13 3.13,3.13 h 36.19 c 1.73,0 3.13,-1.41 3.13,-3.13 V 113.4 c 0,-4.7 1.87,-9.23 5.2,-12.55 L 60,88.51 c 3.33,-3.32 7.85,-5.2 12.56,-5.2 h 28.71 c 1.73,0 3.13,-1.4 3.13,-3.13 V 44 c 0,-1.73 -1.4,-3.13 -3.13,-3.13 z"
-         id="path3" />
-    </g>
-  </g>
-</svg>
--- a/apps/setting/models_provider/impl/regolo_model_provider/model/embedding.py
+++ b/apps/setting/models_provider/impl/regolo_model_provider/model/embedding.py
@ -1,23 +0,0 @@
-# coding=utf-8
-"""
-    @project: MaxKB
-    @Author：虎
-    @file： embedding.py
-    @date：2024/7/12 17:44
-    @desc:
-"""
-from typing import Dict
-
-from langchain_community.embeddings import OpenAIEmbeddings
-
-from setting.models_provider.base_model_provider import MaxKBBaseModel
-
-
-class RegoloEmbeddingModel(MaxKBBaseModel, OpenAIEmbeddings):
-    @staticmethod
-    def new_instance(model_type, model_name, model_credential: Dict[str, object], **model_kwargs):
-        return RegoloEmbeddingModel(
-            api_key=model_credential.get('api_key'),
-            model=model_name,
-            openai_api_base="https://api.regolo.ai/v1",
-        )
--- a/apps/setting/models_provider/impl/regolo_model_provider/model/image.py
+++ b/apps/setting/models_provider/impl/regolo_model_provider/model/image.py
@ -1,19 +0,0 @@
-from typing import Dict
-
-from setting.models_provider.base_model_provider import MaxKBBaseModel
-from setting.models_provider.impl.base_chat_open_ai import BaseChatOpenAI
-
-
-class RegoloImage(MaxKBBaseModel, BaseChatOpenAI):
-
-    @staticmethod
-    def new_instance(model_type, model_name, model_credential: Dict[str, object], **model_kwargs):
-        optional_params = MaxKBBaseModel.filter_optional_params(model_kwargs)
-        return RegoloImage(
-            model_name=model_name,
-            openai_api_base="https://api.regolo.ai/v1",
-            openai_api_key=model_credential.get('api_key'),
-            streaming=True,
-            stream_usage=True,
-            extra_body=optional_params
-        )
--- a/apps/setting/models_provider/impl/regolo_model_provider/model/llm.py
+++ b/apps/setting/models_provider/impl/regolo_model_provider/model/llm.py
@ -1,38 +0,0 @@
-# coding=utf-8
-"""
-    @project: maxkb
-    @Author：虎
-    @file： llm.py
-    @date：2024/4/18 15:28
-    @desc:
-"""
-from typing import List, Dict
-
-from langchain_core.messages import BaseMessage, get_buffer_string
-from langchain_openai.chat_models import ChatOpenAI
-
-from common.config.tokenizer_manage_config import TokenizerManage
-from setting.models_provider.base_model_provider import MaxKBBaseModel
-from setting.models_provider.impl.base_chat_open_ai import BaseChatOpenAI
-
-
-def custom_get_token_ids(text: str):
-    tokenizer = TokenizerManage.get_tokenizer()
-    return tokenizer.encode(text)
-
-
-class RegoloChatModel(MaxKBBaseModel, BaseChatOpenAI):
-
-    @staticmethod
-    def is_cache_model():
-        return False
-
-    @staticmethod
-    def new_instance(model_type, model_name, model_credential: Dict[str, object], **model_kwargs):
-        optional_params = MaxKBBaseModel.filter_optional_params(model_kwargs)
-        return RegoloChatModel(
-            model=model_name,
-            openai_api_base="https://api.regolo.ai/v1",
-            openai_api_key=model_credential.get('api_key'),
-            extra_body=optional_params
-        )
--- a/apps/setting/models_provider/impl/regolo_model_provider/model/tti.py
+++ b/apps/setting/models_provider/impl/regolo_model_provider/model/tti.py
@ -1,58 +0,0 @@
-from typing import Dict
-
-from openai import OpenAI
-
-from common.config.tokenizer_manage_config import TokenizerManage
-from setting.models_provider.base_model_provider import MaxKBBaseModel
-from setting.models_provider.impl.base_tti import BaseTextToImage
-
-
-def custom_get_token_ids(text: str):
-    tokenizer = TokenizerManage.get_tokenizer()
-    return tokenizer.encode(text)
-
-
-class RegoloTextToImage(MaxKBBaseModel, BaseTextToImage):
-    api_base: str
-    api_key: str
-    model: str
-    params: dict
-
-    def __init__(self, **kwargs):
-        super().__init__(**kwargs)
-        self.api_key = kwargs.get('api_key')
-        self.api_base = "https://api.regolo.ai/v1"
-        self.model = kwargs.get('model')
-        self.params = kwargs.get('params')
-
-    @staticmethod
-    def new_instance(model_type, model_name, model_credential: Dict[str, object], **model_kwargs):
-        optional_params = {'params': {'size': '1024x1024', 'quality': 'standard', 'n': 1}}
-        for key, value in model_kwargs.items():
-            if key not in ['model_id', 'use_local', 'streaming']:
-                optional_params['params'][key] = value
-        return RegoloTextToImage(
-            model=model_name,
-            api_base="https://api.regolo.ai/v1",
-            api_key=model_credential.get('api_key'),
-            **optional_params,
-        )
-
-    def is_cache_model(self):
-        return False
-
-    def check_auth(self):
-        chat = OpenAI(api_key=self.api_key, base_url=self.api_base)
-        response_list = chat.models.with_raw_response.list()
-
-        # self.generate_image('生成一个小猫图片')
-
-    def generate_image(self, prompt: str, negative_prompt: str = None):
-        chat = OpenAI(api_key=self.api_key, base_url=self.api_base)
-        res = chat.images.generate(model=self.model, prompt=prompt, **self.params)
-        file_urls = []
-        for content in res.data:
-            url = content.url
-            file_urls.append(url)
-
-        return file_urls
--- a/apps/setting/models_provider/impl/regolo_model_provider/regolo_model_provider.py
+++ b/apps/setting/models_provider/impl/regolo_model_provider/regolo_model_provider.py
@ -1,89 +0,0 @@
-# coding=utf-8
-"""
-    @project: maxkb
-    @Author：虎
-    @file： openai_model_provider.py
-    @date：2024/3/28 16:26
-    @desc:
-"""
-import os
-
-from common.util.file_util import get_file_content
-from setting.models_provider.base_model_provider import IModelProvider, ModelProvideInfo, ModelInfo, \
-    ModelTypeConst, ModelInfoManage
-from setting.models_provider.impl.regolo_model_provider.credential.embedding import \
-    RegoloEmbeddingCredential
-from setting.models_provider.impl.regolo_model_provider.credential.llm import RegoloLLMModelCredential
-from setting.models_provider.impl.regolo_model_provider.credential.tti import \
-    RegoloTextToImageModelCredential
-from setting.models_provider.impl.regolo_model_provider.model.embedding import RegoloEmbeddingModel
-from setting.models_provider.impl.regolo_model_provider.model.llm import RegoloChatModel
-from setting.models_provider.impl.regolo_model_provider.model.tti import RegoloTextToImage
-from smartdoc.conf import PROJECT_DIR
-from django.utils.translation import gettext as _
-
-openai_llm_model_credential = RegoloLLMModelCredential()
-openai_tti_model_credential = RegoloTextToImageModelCredential()
-model_info_list = [
-    ModelInfo('Phi-4', '', ModelTypeConst.LLM,
-              openai_llm_model_credential, RegoloChatModel
-              ),
-    ModelInfo('DeepSeek-R1-Distill-Qwen-32B', '', ModelTypeConst.LLM,
-              openai_llm_model_credential,
-              RegoloChatModel),
-    ModelInfo('maestrale-chat-v0.4-beta', '',
-              ModelTypeConst.LLM, openai_llm_model_credential,
-              RegoloChatModel),
-    ModelInfo('Llama-3.3-70B-Instruct',
-              '',
-              ModelTypeConst.LLM, openai_llm_model_credential,
-              RegoloChatModel),
-    ModelInfo('Llama-3.1-8B-Instruct',
-              '',
-              ModelTypeConst.LLM, openai_llm_model_credential,
-              RegoloChatModel),
-    ModelInfo('DeepSeek-Coder-6.7B-Instruct', '',
-              ModelTypeConst.LLM, openai_llm_model_credential,
-              RegoloChatModel)
-]
-open_ai_embedding_credential = RegoloEmbeddingCredential()
-model_info_embedding_list = [
-    ModelInfo('gte-Qwen2', '',
-              ModelTypeConst.EMBEDDING, open_ai_embedding_credential,
-              RegoloEmbeddingModel),
-]
-
-model_info_tti_list = [
-    ModelInfo('FLUX.1-dev', '',
-              ModelTypeConst.TTI, openai_tti_model_credential,
-              RegoloTextToImage),
-    ModelInfo('sdxl-turbo', '',
-              ModelTypeConst.TTI, openai_tti_model_credential,
-              RegoloTextToImage),
-]
-model_info_manage = (
-    ModelInfoManage.builder()
-    .append_model_info_list(model_info_list)
-    .append_default_model_info(
-        ModelInfo('gpt-3.5-turbo', _('The latest gpt-3.5-turbo, updated with OpenAI adjustments'), ModelTypeConst.LLM,
-                  openai_llm_model_credential, RegoloChatModel
-                  ))
-    .append_model_info_list(model_info_embedding_list)
-    .append_default_model_info(model_info_embedding_list[0])
-    .append_model_info_list(model_info_tti_list)
-    .append_default_model_info(model_info_tti_list[0])
-
-    .build()
-)
-
-
-class RegoloModelProvider(IModelProvider):
-
-    def get_model_info_manage(self):
-        return model_info_manage
-
-    def get_model_provide_info(self):
-        return ModelProvideInfo(provider='model_regolo_provider', name='Regolo', icon=get_file_content(
-            os.path.join(PROJECT_DIR, "apps", "setting", 'models_provider', 'impl', 'regolo_model_provider',
-                         'icon',
-                         'regolo_icon_svg')))
--- a/apps/setting/models_provider/impl/xinference_model_provider/model/reranker.py
+++ b/apps/setting/models_provider/impl/xinference_model_provider/model/reranker.py
@ -22,9 +22,6 @@ class XInferenceReranker(MaxKBBaseModel, BaseDocumentCompressor):
    """UID of the launched model"""
    api_key: Optional[str]

-    @staticmethod
-    def is_cache_model():
-        return False
    @staticmethod
    def new_instance(model_type, model_name, model_credential: Dict[str, object], **model_kwargs):
        return XInferenceReranker(server_url=model_credential.get('server_url'), model_uid=model_name,
--- a/apps/setting/serializers/team_serializers.py
+++ b/apps/setting/serializers/team_serializers.py
@ -171,24 +171,6 @@ class TeamMemberSerializer(ApiMixin, serializers.Serializer):
            }
        )

-    @staticmethod
-    def get_response_body_api():
-        return openapi.Schema(
-            type=openapi.TYPE_OBJECT,
-            properties={
-                'id': openapi.Schema(type=openapi.TYPE_STRING, title=_('user id'), description=_('user id')),
-                'username': openapi.Schema(type=openapi.TYPE_STRING, title=_('Username'), description=_('Username')),
-                'email': openapi.Schema(type=openapi.TYPE_STRING, title=_('Email'), description=_('Email')),
-                'role': openapi.Schema(type=openapi.TYPE_STRING, title=_('Role'), description=_('Role')),
-                'is_active': openapi.Schema(type=openapi.TYPE_STRING, title=_('Is active'),
-                                            description=_('Is active')),
-                'team_id': openapi.Schema(type=openapi.TYPE_STRING, title=_('team id'), description=_('team id')),
-                'user_id': openapi.Schema(type=openapi.TYPE_STRING, title=_('user id'), description=_('user id')),
-                'type': openapi.Schema(type=openapi.TYPE_STRING, title=_('member type'),
-                                       description=_('member type manage|member')),
-            }
-        )
-
    @transaction.atomic
    def batch_add_member(self, user_id_list: List[str], with_valid=True):
        """
--- a/apps/setting/views/Team.py
+++ b/apps/setting/views/Team.py
@ -38,7 +38,6 @@ class TeamMember(APIView):
    @swagger_auto_schema(operation_summary=_('Add member'),
                         operation_id=_('Add member'),
                         request_body=TeamMemberSerializer().get_request_body_api(),
-                         responses=result.get_default_response(),
                         tags=[_('Team')])
    @has_permissions(PermissionConstants.TEAM_CREATE)
    @log(menu='Team', operate='Add member',
@ -54,7 +53,6 @@ class TeamMember(APIView):
        @swagger_auto_schema(operation_summary=_('Add members in batches'),
                             operation_id=_('Add members in batches'),
                             request_body=TeamMemberSerializer.get_bach_request_body_api(),
-                             responses=result.get_api_array_response(TeamMemberSerializer.get_response_body_api()),
                             tags=[_('Team')])
        @has_permissions(PermissionConstants.TEAM_CREATE)
        @log(menu='Team', operate='Add members in batches',
@ -80,7 +78,6 @@ class TeamMember(APIView):
        @swagger_auto_schema(operation_summary=_('Update team member permissions'),
                             operation_id=_('Update team member permissions'),
                             request_body=UpdateTeamMemberPermissionSerializer().get_request_body_api(),
-                             responses=result.get_default_response(),
                             manual_parameters=TeamMemberSerializer.Operate.get_request_params_api(),
                             tags=[_('Team')]
                             )
@ -96,7 +93,6 @@ class TeamMember(APIView):
        @swagger_auto_schema(operation_summary=_('Remove member'),
                             operation_id=_('Remove member'),
                             manual_parameters=TeamMemberSerializer.Operate.get_request_params_api(),
-                             responses=result.get_default_response(),
                             tags=[_('Team')]
                             )
        @has_permissions(PermissionConstants.TEAM_DELETE)
--- a/apps/setting/views/model.py
+++ b/apps/setting/views/model.py
@ -31,8 +31,7 @@ class Model(APIView):
    @action(methods=['POST'], detail=False)
    @swagger_auto_schema(operation_summary=_('Create model'),
                         operation_id=_('Create model'),
-                         request_body=ModelCreateApi.get_request_body_api(),
-                         manual_parameters=result.get_api_response(ModelCreateApi.get_request_body_api())
+                         request_body=ModelCreateApi.get_request_body_api()
        , tags=[_('model')])
    @has_permissions(PermissionConstants.MODEL_CREATE)
    @log(menu='model', operate='Create model',
@ -46,8 +45,7 @@ class Model(APIView):
    @action(methods=['PUT'], detail=False)
    @swagger_auto_schema(operation_summary=_('Download model, trial only with Ollama platform'),
                         operation_id=_('Download model, trial only with Ollama platform'),
-                         request_body=ModelCreateApi.get_request_body_api(),
-                         responses=result.get_api_response(ModelCreateApi.get_request_body_api())
+                         request_body=ModelCreateApi.get_request_body_api()
        , tags=[_('model')])
    @has_permissions(PermissionConstants.MODEL_CREATE)
    def put(self, request: Request):
@ -125,8 +123,7 @@ class Model(APIView):
        @action(methods=['PUT'], detail=False)
        @swagger_auto_schema(operation_summary=_('Update model'),
                             operation_id=_('Update model'),
-                             request_body=ModelEditApi.get_request_body_api(),
-                             responses=result.get_api_response(ModelEditApi.get_request_body_api())
+                             request_body=ModelEditApi.get_request_body_api()
            , tags=[_('model')])
        @has_permissions(PermissionConstants.MODEL_CREATE)
        @log(menu='model', operate='Update model',
@ -169,8 +166,7 @@ class Provide(APIView):
        @swagger_auto_schema(operation_summary=_('Call the supplier function to obtain form data'),
                             operation_id=_('Call the supplier function to obtain form data'),
                             manual_parameters=ProvideApi.get_request_params_api(),
-                             request_body=ProvideApi.get_request_body_api(),
-                             responses=result.get_api_response(ProvideApi.get_request_body_api())
+                             request_body=ProvideApi.get_request_body_api()
            , tags=[_('model')])
        @has_permissions(PermissionConstants.MODEL_READ)
        @log(menu='model', operate='Call the supplier function to obtain form data')
--- a/apps/smartdoc/conf.py
+++ b/apps/smartdoc/conf.py
@ -93,8 +93,7 @@ class Config(dict):
        'SANDBOX': False,
        'LOCAL_MODEL_HOST': '127.0.0.1',
        'LOCAL_MODEL_PORT': '11636',
-        'LOCAL_MODEL_PROTOCOL': "http",
-        'LOCAL_MODEL_HOST_WORKER': 1
+        'LOCAL_MODEL_PROTOCOL': "http"

    }

@ -114,8 +113,7 @@ class Config(dict):
            "ENGINE": self.get('DB_ENGINE'),
            "POOL_OPTIONS": {
                "POOL_SIZE": 20,
-                "MAX_OVERFLOW": int(self.get('DB_MAX_OVERFLOW')),
-                'RECYCLE': 30 * 60
+                "MAX_OVERFLOW": int(self.get('DB_MAX_OVERFLOW'))
            }
        }

--- a/apps/smartdoc/settings/base.py
+++ b/apps/smartdoc/settings/base.py
@ -126,10 +126,6 @@ CACHES = {
    "token_cache": {
        'BACKEND': 'common.cache.file_cache.FileCache',
        'LOCATION': os.path.join(PROJECT_DIR, 'data', 'cache', "token_cache")  # 文件夹路径
-    },
-    'captcha_cache': {
-        'BACKEND': 'common.cache.file_cache.FileCache',
-        'LOCATION': os.path.join(PROJECT_DIR, 'data', 'cache', "captcha_cache")  # 文件夹路径
    }
 }

--- a/apps/users/serializers/user_serializers.py
+++ b/apps/users/serializers/user_serializers.py
@ -6,22 +6,18 @@
    @date：2023/9/5 16:32
    @desc:
 """
-import base64
 import datetime
 import os
 import random
 import re
 import uuid

-from captcha.image import ImageCaptcha
 from django.conf import settings
 from django.core import validators, signing, cache
 from django.core.mail import send_mail
 from django.core.mail.backends.smtp import EmailBackend
 from django.db import transaction
 from django.db.models import Q, QuerySet, Prefetch
-from django.utils.translation import get_language
-from django.utils.translation import gettext_lazy as _, to_locale
 from drf_yasg import openapi
 from rest_framework import serializers

@ -34,7 +30,7 @@ from common.exception.app_exception import AppApiException
 from common.mixins.api_mixin import ApiMixin
 from common.models.db_model_manage import DBModelManage
 from common.response.result import get_api_response
-from common.util.common import valid_license, get_random_chars
+from common.util.common import valid_license
 from common.util.field_message import ErrMessage
 from common.util.lock import lock
 from dataset.models import DataSet, Document, Paragraph, Problem, ProblemParagraphMapping
@ -43,29 +39,9 @@ from function_lib.models.function import FunctionLib
 from setting.models import Team, SystemSetting, SettingType, Model, TeamMember, TeamMemberPermission
 from smartdoc.conf import PROJECT_DIR
 from users.models.user import User, password_encrypt, get_user_dynamics_permission
-
+from django.utils.translation import gettext_lazy as _, gettext, to_locale
+from django.utils.translation import get_language
 user_cache = cache.caches['user_cache']
-captcha_cache = cache.caches['captcha_cache']
-
-
-class CaptchaSerializer(ApiMixin, serializers.Serializer):
-    @staticmethod
-    def get_response_body_api():
-        return get_api_response(openapi.Schema(
-            type=openapi.TYPE_STRING,
-            title="captcha",
-            default="xxxx",
-            description="captcha"
-        ))
-
-    @staticmethod
-    def generate():
-        chars = get_random_chars()
-        image = ImageCaptcha()
-        data = image.generate(chars)
-        captcha = base64.b64encode(data.getbuffer())
-        captcha_cache.set(f"LOGIN:{chars.lower()}", chars, timeout=5 * 60)
-        return 'data:image/png;base64,' + captcha.decode()


 class SystemSerializer(ApiMixin, serializers.Serializer):
@ -95,8 +71,6 @@ class LoginSerializer(ApiMixin, serializers.Serializer):

    password = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Password")))

-    captcha = serializers.CharField(required=True, error_messages=ErrMessage.char(_("captcha")))
-
    def is_valid(self, *, raise_exception=False):
        """
        校验参数
@ -104,10 +78,6 @@ class LoginSerializer(ApiMixin, serializers.Serializer):
        :return: User information
        """
        super().is_valid(raise_exception=True)
-        captcha = self.data.get('captcha')
-        captcha_value = captcha_cache.get(f"LOGIN:{captcha.lower()}")
-        if captcha_value is None:
-            raise AppApiException(1005, _("Captcha code error or expiration"))
        username = self.data.get("username")
        password = password_encrypt(self.data.get("password"))
        user = QuerySet(User).filter(Q(username=username,
@ -139,8 +109,7 @@ class LoginSerializer(ApiMixin, serializers.Serializer):
            required=['username', 'password'],
            properties={
                'username': openapi.Schema(type=openapi.TYPE_STRING, title=_("Username"), description=_("Username")),
-                'password': openapi.Schema(type=openapi.TYPE_STRING, title=_("Password"), description=_("Password")),
-                'captcha': openapi.Schema(type=openapi.TYPE_STRING, title=_("captcha"), description=_("captcha"))
+                'password': openapi.Schema(type=openapi.TYPE_STRING, title=_("Password"), description=_("Password"))
            }
        )

--- a/apps/users/urls.py
+++ b/apps/users/urls.py
@ -6,7 +6,6 @@ app_name = "user"
 urlpatterns = [
    path('profile', views.Profile.as_view()),
    path('user', views.User.as_view(), name="profile"),
-    path('user/captcha', views.CaptchaView.as_view(), name='captcha'),
    path('user/language', views.SwitchUserLanguageView.as_view(), name='language'),
    path('user/list', views.User.Query.as_view()),
    path('user/login', views.Login.as_view(), name='login'),
--- a/apps/users/views/user.py
+++ b/apps/users/views/user.py
@ -26,7 +26,7 @@ from smartdoc.settings import JWT_AUTH
 from users.serializers.user_serializers import RegisterSerializer, LoginSerializer, CheckCodeSerializer, \
    RePasswordSerializer, \
    SendEmailSerializer, UserProfile, UserSerializer, UserManageSerializer, UserInstanceSerializer, SystemSerializer, \
-    SwitchLanguageSerializer, CaptchaSerializer
+    SwitchLanguageSerializer
 from users.views.common import get_user_operation_object, get_re_password_details

 user_cache = cache.caches['user_cache']
@ -84,7 +84,7 @@ class SwitchUserLanguageView(APIView):
                                                            description=_("language")),
                             }
                         ),
-                         responses=result.get_default_response(),
+                         responses=RePasswordSerializer().get_response_body_api(),
                         tags=[_("User management")])
    @log(menu='User management', operate='Switch Language',
         get_operation_object=lambda r, k: {'name': r.user.username})
@ -111,7 +111,7 @@ class ResetCurrentUserPasswordView(APIView):
                                                               description=_("Password"))
                             }
                         ),
-                         responses=result.get_default_response(),
+                         responses=RePasswordSerializer().get_response_body_api(),
                         tags=[_("User management")])
    @log(menu='User management', operate='Modify current user password',
         get_operation_object=lambda r, k: {'name': r.user.username},
@ -170,18 +170,6 @@ def _get_details(request):
    }


-class CaptchaView(APIView):
-
-    @action(methods=['GET'], detail=False)
-    @swagger_auto_schema(operation_summary=_("Obtain graphical captcha"),
-                         operation_id=_("Obtain graphical captcha"),
-                         responses=CaptchaSerializer().get_response_body_api(),
-                         security=[],
-                         tags=[_("User management")])
-    def get(self, request: Request):
-        return result.success(CaptchaSerializer().generate())
-
-
 class Login(APIView):

    @action(methods=['POST'], detail=False)
--- a/installer/Dockerfile
+++ b/installer/Dockerfile
@ -25,7 +25,7 @@ RUN python3 -m venv /opt/py3 && \
    pip install poetry==1.8.5 --break-system-packages && \
    poetry config virtualenvs.create false && \
    . /opt/py3/bin/activate && \
-    if [ "$(uname -m)" = "x86_64" ]; then sed -i 's/^torch.*/torch = {version = "2.6.0+cpu", source = "pytorch"}/g' pyproject.toml; fi && \
+    if [ "$(uname -m)" = "x86_64" ]; then sed -i 's/^torch.*/torch = {version = "^2.6.0+cpu", source = "pytorch"}/g' pyproject.toml; fi && \
    poetry install && \
    export MAXKB_CONFIG_TYPE=ENV && python3 /opt/maxkb/app/apps/manage.py compilemessages

@ -70,8 +70,7 @@ RUN chmod 755 /opt/maxkb/app/installer/run-maxkb.sh && \
    useradd --no-create-home --home /opt/maxkb/app/sandbox sandbox -g root && \
    chown -R sandbox:root /opt/maxkb/app/sandbox && \
    chmod g-x /usr/local/bin/* /usr/bin/* /bin/* /usr/sbin/* /sbin/* /usr/lib/postgresql/15/bin/* && \
-    chmod g+x /usr/local/bin/python* && \
-    find /etc/ -type f ! -path '/etc/resolv.conf' ! -path '/etc/hosts' | xargs chmod g-rx
+    chmod g+x /usr/local/bin/python*

 EXPOSE 8080

--- a/pyproject.toml
+++ b/pyproject.toml
@ -9,66 +9,64 @@ package-mode = false
 [tool.poetry.dependencies]
 python = ">=3.11,<3.12"
 django = "4.2.20"
-djangorestframework = "3.16.0"
+djangorestframework = "^3.15.2"
 drf-yasg = "1.21.7"
 django-filter = "23.2"
-langchain = "0.3.23"
-langchain-openai = "0.3.12"
-langchain-anthropic = "0.3.12"
-langchain-community = "0.3.21"
-langchain-deepseek = "0.1.3"
-langchain-google-genai = "2.1.2"
-langchain-mcp-adapters = "0.0.11"
-langchain-huggingface = "0.1.2"
-langchain-ollama = "0.3.2"
-langgraph = "0.3.27"
-mcp = "1.8.0"
+langchain-openai = "^0.3.0"
+langchain-anthropic = "^0.3.0"
+langchain-community = "^0.3.0"
+langchain-deepseek = "^0.1.0"
+langchain-google-genai = "^2.0.9"
+langchain-mcp-adapters = "^0.0.5"
+langchain-huggingface = "^0.1.2"
+langchain-ollama = "^0.3.0"
+langgraph = "^0.3.0"
+mcp = "^1.4.1"
 psycopg2-binary = "2.9.10"
-jieba = "0.42.1"
-diskcache = "5.6.3"
-pillow = "10.4.0"
-filetype = "1.2.0"
+jieba = "^0.42.1"
+diskcache = "^5.6.3"
+pillow = "^10.2.0"
+filetype = "^1.2.0"
 torch = "2.6.0"
-sentence-transformers = "4.0.2"
-openai = "1.72.0"
-tiktoken = "0.7.0"
-qianfan = "0.3.18"
-pycryptodome = "3.22.0"
-beautifulsoup4 = "4.13.3"
-html2text = "2024.2.26"
-django-ipware = "6.0.5"
-django-apscheduler = "0.6.2"
+sentence-transformers = "^4.0.2"
+openai = "^1.13.3"
+tiktoken = "^0.7.0"
+qianfan = "^0.3.6.1"
+pycryptodome = "^3.19.0"
+beautifulsoup4 = "^4.12.2"
+html2text = "^2024.2.26"
+django-ipware = "^6.0.4"
+django-apscheduler = "^0.6.2"
 pymupdf = "1.24.9"
 pypdf = "4.3.1"
 rapidocr-onnxruntime = "1.3.24"
-python-docx = "1.1.2"
-xlwt = "1.3.0"
-dashscope = "1.23.1"
-zhipuai = "2.1.5.20250410"
-httpx = "0.27.2"
-httpx-sse = "0.4.0"
-websockets = "13.1"
-openpyxl = "3.1.5"
-xlrd = "2.0.1"
-gunicorn = "23.0.0"
+python-docx = "^1.1.0"
+xlwt = "^1.3.0"
+dashscope = "^1.17.0"
+zhipuai = "^2.0.1"
+httpx = "^0.27.0"
+httpx-sse = "^0.4.0"
+websockets = "^13.0"
+openpyxl = "^3.1.2"
+xlrd = "^2.0.1"
+gunicorn = "^23.0.0"
 python-daemon = "3.0.1"
-boto3 = "1.37.31"
-tencentcloud-sdk-python = "3.0.1357"
-xinference-client = "1.4.1"
-psutil = "6.1.1"
-celery = { extras = ["sqlalchemy"], version = "5.5.1" }
-django-celery-beat = "2.7.0"
-celery-once = "3.0.1"
-anthropic = "0.49.0"
-pylint = "3.3.6"
-pydub = "0.25.1"
-cffi = "1.17.1"
-pysilk = "0.0.1"
-django-db-connection-pool = "1.2.5"
-opencv-python-headless = "4.11.0.86"
-pymysql = "1.1.1"
-accelerate = "1.6.0"
-captcha = "0.7.1"
+boto3 = "^1.34.160"
+tencentcloud-sdk-python = "^3.0.1209"
+xinference-client = "^1.3.0"
+psutil = "^6.0.0"
+celery = { extras = ["sqlalchemy"], version = "^5.4.0" }
+django-celery-beat = "^2.6.0"
+celery-once = "^3.0.1"
+anthropic = "^0.49.0"
+pylint = "3.1.0"
+pydub = "^0.25.1"
+cffi = "^1.17.1"
+pysilk = "^0.0.1"
+django-db-connection-pool = "^1.2.5"
+opencv-python-headless = "^4.11.0.86"
+pymysql = "^1.1.1"
+accelerate = "^1.6.0"
 [build-system]
 requires = ["poetry-core"]
 build-backend = "poetry.core.masonry.api"
--- a/ui/src/api/team.ts
+++ b/ui/src/api/team.ts
@ -36,7 +36,7 @@ const getMemberPermissions: (member_id: String) => Promise<Result<any>> = (membe
 }

 /**
- * 修改成员权限
+ * 获取成员权限
 * @param 参数 member_id
 * @param 参数 {
          "team_member_permission_list": [
--- a/ui/src/api/type/user.ts
+++ b/ui/src/api/type/user.ts
@ -37,10 +37,6 @@ interface LoginRequest {
   * 密码
   */
  password: string
-  /**
-   * 验证码
-   */
-  captcha: string
 }

 interface RegisterRequest {
--- a/ui/src/api/user.ts
+++ b/ui/src/api/user.ts
@ -27,13 +27,6 @@ const login: (
  }
  return post('/user/login', request, undefined, loading)
 }
-/**
- * 获取图形验证码
- * @returns
- */
-const getCaptcha: () => Promise<Result<string>> = () => {
-  return get('user/captcha')
-}
 /**
 * 登出
 * @param loading 接口加载器
@ -233,6 +226,5 @@ export default {
  postLanguage,
  getDingOauth2Callback,
  getlarkCallback,
-  getQrSource,
-  getCaptcha
+  getQrSource
 }
--- a/ui/src/components/ai-chat/component/chat-input-operate/index.vue
+++ b/ui/src/components/ai-chat/component/chat-input-operate/index.vue
@ -392,17 +392,7 @@ const checkMaxFilesLimit = () => {
      uploadOtherList.value.length
  )
 }
-const file_name_eq = (str: string, str1: string) => {
-  return (
-    str.replaceAll(' ', '') === str1.replaceAll(' ', '') ||
-    decodeHtmlEntities(str) === decodeHtmlEntities(str1)
-  )
-}
-function decodeHtmlEntities(str: string) {
-  const tempDiv = document.createElement('div')
-  tempDiv.innerHTML = str
-  return tempDiv.textContent || tempDiv.innerText || ''
-}
+
 const uploadFile = async (file: any, fileList: any) => {
  const { maxFiles, fileLimit } = props.applicationDetails.file_upload_setting
  // 单次上传文件数量限制
@ -428,6 +418,7 @@ const uploadFile = async (file: any, fileList: any) => {
  formData.append('file', file.raw, file.name)
  //
  const extension = file.name.split('.').pop().toUpperCase() // 获取文件后缀名并转为小写
+
  if (imageExtensions.includes(extension)) {
    uploadImageList.value.push(file)
  } else if (documentExtensions.includes(extension)) {
@ -461,35 +452,45 @@ const uploadFile = async (file: any, fileList: any) => {
    .then((response) => {
      fileList.splice(0, fileList.length)
      uploadImageList.value.forEach((file: any) => {
-        const f = response.data.filter((f: any) => file_name_eq(f.name, file.name))
+        const f = response.data.filter(
+          (f: any) => f.name.replaceAll(' ', '') === file.name.replaceAll(' ', '')
+        )
        if (f.length > 0) {
          file.url = f[0].url
          file.file_id = f[0].file_id
        }
      })
      uploadDocumentList.value.forEach((file: any) => {
-        const f = response.data.filter((f: any) => file_name_eq(f.name, file.name))
+        const f = response.data.filter(
+          (f: any) => f.name.replaceAll(' ', '') == file.name.replaceAll(' ', '')
+        )
        if (f.length > 0) {
          file.url = f[0].url
          file.file_id = f[0].file_id
        }
      })
      uploadAudioList.value.forEach((file: any) => {
-        const f = response.data.filter((f: any) => file_name_eq(f.name, file.name))
+        const f = response.data.filter(
+          (f: any) => f.name.replaceAll(' ', '') === file.name.replaceAll(' ', '')
+        )
        if (f.length > 0) {
          file.url = f[0].url
          file.file_id = f[0].file_id
        }
      })
      uploadVideoList.value.forEach((file: any) => {
-        const f = response.data.filter((f: any) => file_name_eq(f.name, file.name))
+        const f = response.data.filter(
+          (f: any) => f.name.replaceAll(' ', '') === file.name.replaceAll(' ', '')
+        )
        if (f.length > 0) {
          file.url = f[0].url
          file.file_id = f[0].file_id
        }
      })
      uploadOtherList.value.forEach((file: any) => {
-        const f = response.data.filter((f: any) => file_name_eq(f.name, file.name))
+        const f = response.data.filter(
+          (f: any) => f.name.replaceAll(' ', '') === file.name.replaceAll(' ', '')
+        )
        if (f.length > 0) {
          file.url = f[0].url
          file.file_id = f[0].file_id
--- a/ui/src/components/ai-chat/component/question-content/index.vue
+++ b/ui/src/components/ai-chat/component/question-content/index.vue
@ -200,7 +200,8 @@ onMounted(() => {})
  }
  .media-file-width {
    :deep(.el-space__item) {
-      width: 49% !important;
+      min-width: 40% !important;
+      flex-grow: 1;
    }
  }
  .media_2 {
--- a/ui/src/components/ai-chat/index.vue
+++ b/ui/src/components/ai-chat/index.vue
@ -23,7 +23,7 @@
        ref="userFormRef"
      ></UserForm>
    </div>
-    <template v-if="!(isUserInput || isAPIInput) || !firsUserInput || type === 'log'">
+    <template v-if="!isUserInput || !firsUserInput || type === 'log'">
      <el-scrollbar ref="scrollDiv" @scroll="handleScrollTop">
        <div ref="dialogScrollbar" class="ai-chat__content p-16">
          <PrologueContent
@ -80,7 +80,7 @@
            </slot>

            <el-button
-              v-if="isUserInput || isAPIInput"
+              v-if="isUserInput"
              class="user-input-button mb-8"
              type="primary"
              text
@ -153,9 +153,8 @@ const form_data = ref<any>({})
 const api_form_data = ref<any>({})
 const userFormRef = ref<InstanceType<typeof UserForm>>()
 // 用户输入
-const firsUserInput = ref(false)
+const firsUserInput = ref(true)
 const showUserInput = ref(false)
-
 // 初始表单数据（用于恢复）
 const initialFormData = ref({})
 const initialApiFormData = ref({})
@ -165,17 +164,8 @@ const isUserInput = computed(
    props.applicationDetails.work_flow?.nodes?.filter((v: any) => v.id === 'base-node')[0]
      .properties.user_input_field_list.length > 0
 )
-const isAPIInput = computed(
-  () =>
-    props.type === 'debug-ai-chat' &&
-    props.applicationDetails.work_flow?.nodes?.filter((v: any) => v.id === 'base-node')[0]
-      .properties.api_input_field_list.length > 0
-)
 const showUserInputContent = computed(() => {
-  return (
-    (((isUserInput.value || isAPIInput.value) && firsUserInput.value) || showUserInput.value) &&
-    props.type !== 'log'
-  )
+  return ((isUserInput.value && firsUserInput.value) || showUserInput.value) && props.type !== 'log'
 })
 watch(
  () => props.chatId,
@ -185,14 +175,10 @@ watch(
      firsUserInput.value = false
    } else {
      chartOpenId.value = ''
-      if (isUserInput.value) {
-        firsUserInput.value = true
-      } else if (props.type == 'debug-ai-chat' && isAPIInput.value) {
-        firsUserInput.value = true
-      }
+      firsUserInput.value = true
    }
  },
-  { deep: true, immediate: true }
+  { deep: true }
 )

 watch(
@ -252,9 +238,7 @@ function sendMessage(val: string, other_params_data?: any, chat?: chatType): Pro
            return result
          }, {})
          localStorage.setItem(`${accessToken}userForm`, JSON.stringify(newData))
-
          showUserInput.value = false
-
          if (!loading.value && props.applicationDetails?.name) {
            handleDebounceClick(val, other_params_data, chat)
            return true
@ -262,12 +246,7 @@ function sendMessage(val: string, other_params_data?: any, chat?: chatType): Pro
          throw 'err: no send'
        })
        .catch((e) => {
-          if (isAPIInput.value && props.type !== 'debug-ai-chat') {
-            showUserInput.value = false
-          } else {
-            showUserInput.value = true
-          }
-
+          showUserInput.value = true
          return false
        })
    } else {
@ -529,16 +508,14 @@ function chatMessage(chat?: any, problem?: string, re_chat?: boolean, other_para
 * @param row
 */
 function getSourceDetail(row: any) {
-  if (row.record_id) {
-    logApi.getRecordDetail(id || props.appId, row.chat_id, row.record_id, loading).then((res) => {
-      const exclude_keys = ['answer_text', 'id', 'answer_text_list']
-      Object.keys(res.data).forEach((key) => {
-        if (!exclude_keys.includes(key)) {
-          row[key] = res.data[key]
-        }
-      })
+  logApi.getRecordDetail(id || props.appId, row.chat_id, row.record_id, loading).then((res) => {
+    const exclude_keys = ['answer_text', 'id', 'answer_text_list']
+    Object.keys(res.data).forEach((key) => {
+      if (!exclude_keys.includes(key)) {
+        row[key] = res.data[key]
+      }
    })
-  }
+  })
  return true
 }

--- a/ui/src/layout/components/breadcrumb/index.vue
+++ b/ui/src/layout/components/breadcrumb/index.vue
@ -228,11 +228,6 @@ function getApplication() {
 }
 function refresh() {
  common.saveBreadcrumb(null)
-  if (isDataset.value) {
-    getDataset()
-  } else if (isApplication.value) {
-    getApplication()
-  }
 }
 onMounted(() => {
  if (!breadcrumbData.value) {
--- a/ui/src/locales/lang/en-US/views/application-workflow.ts
+++ b/ui/src/locales/lang/en-US/views/application-workflow.ts
@ -223,14 +223,14 @@ export default {
    },
    mcpNode: {
      label: 'MCP Server',
-      text: 'Call MCP Tools through SSE/Streamable HTTP',
+      text: 'Call MCP Tools through SSE',
      getToolsSuccess: 'Get Tools Successfully',
      getTool: 'Get Tools',
      tool: 'Tool',
      toolParam: 'Tool Params',
      mcpServerTip: 'Please enter the JSON format of the MCP server config',
      mcpToolTip: 'Please select a tool',
-      configLabel: 'MCP Server Config (Only supports SSE/Streamable HTTP call method)'
+      configLabel: 'MCP Server Config (Only supports SSE call method)'
    },
    imageGenerateNode: {
      label: 'Image Generation',
--- a/ui/src/locales/lang/en-US/views/user.ts
+++ b/ui/src/locales/lang/en-US/views/user.ts
@ -28,10 +28,6 @@ export default {
        requiredMessage: 'Please enter username',
        lengthMessage: 'Length must be between 6 and 20 words'
      },
-      captcha: {
-        label: 'captcha',
-        placeholder: 'Please enter the captcha'
-      },
      nick_name: {
        label: 'Name',
        placeholder: 'Please enter name'
--- a/ui/src/locales/lang/zh-CN/views/application-workflow.ts
+++ b/ui/src/locales/lang/zh-CN/views/application-workflow.ts
@ -224,14 +224,14 @@ export default {
    },
    mcpNode: {
      label: 'MCP 调用',
-      text: '通过SSE/Streamable HTTP方式执行MCP服务中的工具',
+      text: '通过SSE方式执行MCP服务中的工具',
      getToolsSuccess: '获取工具成功',
      getTool: '获取工具',
      tool: '工具',
      toolParam: '工具参数',
      mcpServerTip: '请输入JSON格式的MCP服务器配置',
      mcpToolTip: '请选择工具',
-      configLabel: 'MCP Server Config (仅支持SSE/Streamable HTTP调用方式)'
+      configLabel: 'MCP Server Config (仅支持SSE调用方式)'
    },
    imageGenerateNode: {
      label: '图片生成',
@ -266,7 +266,7 @@ export default {
      label: '文本转语音',
      text: '将文本通过语音合成模型转换为音频',
      tts_model: {
-        label: '语音合成模型'
+        label: '语音识别模型'
      },
      content: {
        label: '选择文本内容'
--- a/ui/src/locales/lang/zh-CN/views/user.ts
+++ b/ui/src/locales/lang/zh-CN/views/user.ts
@ -25,10 +25,6 @@ export default {
        requiredMessage: '请输入用户名',
        lengthMessage: '长度在 6 到 20 个字符'
      },
-      captcha: {
-        label: '验证码',
-        placeholder: '请输入验证码'
-      },
      nick_name: {
        label: '姓名',
        placeholder: '请输入姓名'
@ -37,7 +33,7 @@ export default {
        label: '邮箱',
        placeholder: '请输入邮箱',
        requiredMessage: '请输入邮箱',
-        validatorEmail: '请输入有效邮箱格式！'
+        validatorEmail: '请输入有效邮箱格式！',
      },
      phone: {
        label: '手机号',
@ -52,13 +48,13 @@ export default {
      new_password: {
        label: '新密码',
        placeholder: '请输入新密码',
-        requiredMessage: '请输入新密码'
+        requiredMessage: '请输入新密码',
      },
      re_password: {
        label: '确认密码',
        placeholder: '请输入确认密码',
        requiredMessage: '请输入确认密码',
-        validatorMessage: '密码不一致'
+        validatorMessage: '密码不一致',
      }
    }
  },
--- a/ui/src/locales/lang/zh-Hant/views/application-workflow.ts
+++ b/ui/src/locales/lang/zh-Hant/views/application-workflow.ts
@ -223,14 +223,14 @@ export default {
    },
    mcpNode: {
      label: 'MCP 調用',
-      text: '透過SSE/Streamable HTTP方式執行MCP服務中的工具',
+      text: '透過SSE方式執行MCP服務中的工具',
      getToolsSuccess: '獲取工具成功',
      getTool: '獲取工具',
      tool: '工具',
      toolParam: '工具變數',
      mcpServerTip: '請輸入JSON格式的MCP服務器配置',
      mcpToolTip: '請選擇工具',
-      configLabel: 'MCP Server Config (僅支持SSE/Streamable HTTP調用方式)'
+      configLabel: 'MCP Server Config (僅支持SSE調用方式)'
    },
    imageGenerateNode: {
      label: '圖片生成',
--- a/ui/src/locales/lang/zh-Hant/views/user.ts
+++ b/ui/src/locales/lang/zh-Hant/views/user.ts
@ -26,10 +26,6 @@ export default {
        requiredMessage: '請輸入使用者名稱',
        lengthMessage: '長度須介於 6 到 20 個字元之間'
      },
-      captcha: {
-        label: '驗證碼',
-        placeholder: '請輸入驗證碼'
-      },
      nick_name: {
        label: '姓名',
        placeholder: '請輸入姓名'
--- a/ui/src/stores/modules/user.ts
+++ b/ui/src/stores/modules/user.ts
@ -135,8 +135,8 @@ const useUserStore = defineStore({
      })
    },

-    async login(auth_type: string, username: string, password: string, captcha: string) {
-      return UserApi.login(auth_type, { username, password, captcha }).then((ok) => {
+    async login(auth_type: string, username: string, password: string) {
+      return UserApi.login(auth_type, { username, password }).then((ok) => {
        this.token = ok.data
        localStorage.setItem('token', ok.data)
        return this.profile()
--- a/ui/src/styles/md-editor.scss
+++ b/ui/src/styles/md-editor.scss
@ -6,8 +6,7 @@
  padding: 0;
  margin: 0;
  font-size: inherit;
-  word-break: break-word;
-  table {
+  table{
    display: block;
  }
  p {
--- a/ui/src/views/application/ApplicationAccess.vue
+++ b/ui/src/views/application/ApplicationAccess.vue
@ -135,4 +135,51 @@ onMounted(() => {
 })
 </script>

-<style lang="scss" scoped></style>
+<style lang="scss" scoped>
+.p-16-24 {
+  padding: 16px 24px;
+}
+
+.mb-16 {
+  margin-bottom: 16px;
+}
+
+.flex-between {
+  display: flex;
+  justify-content: space-between;
+  align-items: center;
+}
+
+.flex {
+  display: flex;
+}
+
+.align-center {
+  align-items: center;
+}
+
+.ml-8 {
+  margin-left: 8px;
+}
+
+.mr-8 {
+  margin-right: 8px;
+}
+
+.ml-12 {
+  margin-left: 12px;
+}
+
+.mr-4 {
+  margin-right: 4px;
+}
+
+.cursor {
+  cursor: pointer;
+}
+
+.icon {
+  width: 32px; // 设置图标宽度
+  height: 32px; // 设置图标高度
+}
+</style>
--- a/ui/src/views/application/component/CreateApplicationDialog.vue
+++ b/ui/src/views/application/component/CreateApplicationDialog.vue
@ -242,7 +242,6 @@ const submitHandle = async (formEl: FormInstance | undefined) => {
      }
      applicationApi.postApplication(applicationForm.value, loading).then((res) => {
        MsgSuccess(t('common.createSuccess'))
-        emit('refresh')
        if (isWorkFlow(applicationForm.value.type)) {
          router.push({ path: `/application/${res.data.id}/workflow` })
        } else {
--- a/ui/src/views/application/component/ParamSettingDialog.vue
+++ b/ui/src/views/application/component/ParamSettingDialog.vue
@ -11,7 +11,7 @@
  >
    <el-scrollbar max-height="550">
      <div class="p-16">
-        <el-form label-position="top" ref="paramFormRef" :model="form" v-loading="loading">
+        <el-form label-position="top" ref="paramFormRef" :model="form">
          <el-form-item :label="$t('views.application.applicationForm.dialog.selectSearchMode')">
            <el-radio-group
              v-model="form.dataset_setting.search_mode"
@ -81,7 +81,7 @@
                <el-input-number
                  v-model="form.dataset_setting.similarity"
                  :min="0"
-                  :max="form.dataset_setting.search_mode === 'blend' ? 2 : 1"
+                  :max="form.search_mode === 'blend' ? 2 : 1"
                  :precision="3"
                  :step="0.1"
                  :value-on-clear="0"
@ -259,20 +259,20 @@ const isWorkflowType = ref(false)

 watch(dialogVisible, (bool) => {
  if (!bool) {
-    // form.value = {
-    //   dataset_setting: {
-    //     search_mode: 'embedding',
-    //     top_n: 3,
-    //     similarity: 0.6,
-    //     max_paragraph_char_number: 5000,
-    //     no_references_setting: {
-    //       status: 'ai_questioning',
-    //       value: '{question}'
-    //     }
-    //   },
-    //   problem_optimization: false,
-    //   problem_optimization_prompt: ''
-    // }
+    form.value = {
+      dataset_setting: {
+        search_mode: 'embedding',
+        top_n: 3,
+        similarity: 0.6,
+        max_paragraph_char_number: 5000,
+        no_references_setting: {
+          status: 'ai_questioning',
+          value: '{question}'
+        }
+      },
+      problem_optimization: false,
+      problem_optimization_prompt: ''
+    }
    noReferencesform.value = {
      ai_questioning: defaultValue['ai_questioning'],
      designated_answer: defaultValue['designated_answer']
--- a/ui/src/views/function-lib/index.vue
+++ b/ui/src/views/function-lib/index.vue
@ -430,8 +430,14 @@ async function changeState(bool: Boolean, row: any) {
      row.is_active = false
      return
    }
+    const init_params = res.data.init_field_list.reduce((acc: any, item: any) => {
+      acc[item.field] = item.default_value
+      return acc
+    }, {})
    const obj = {
      is_active: bool,
+      init_params: init_params,
+      init_field_list: res.data.init_field_list
    }
    functionLibApi.putFunctionLib(row.id, obj, changeStateloading).then((res) => {})
  }
--- a/ui/src/views/login/forgot-password/index.vue
+++ b/ui/src/views/login/forgot-password/index.vue
@ -1,5 +1,5 @@
 <template>
-  <login-layout v-if="!loading" v-loading="loading || sendLoading">
+  <login-layout v-if="!loading" v-loading="loading">
    <LoginContainer
      :subTitle="
        user.themeInfo?.slogan ? user.themeInfo?.slogan : $t('views.system.theme.defaultSlogan')
--- a/ui/src/views/login/index.vue
+++ b/ui/src/views/login/index.vue
@ -34,21 +34,6 @@
              </el-input>
            </el-form-item>
          </div>
-          <div class="mb-24">
-            <el-form-item prop="captcha">
-              <div class="flex-between w-full">
-                <el-input
-                  size="large"
-                  class="input-item"
-                  v-model="loginForm.captcha"
-                  :placeholder="$t('views.user.userForm.form.captcha.placeholder')"
-                >
-                </el-input>
-
-                <img :src="identifyCode" alt="" height="38" class="ml-8 cursor border border-r-4" @click="makeCode" />
-              </div>
-            </el-form-item>
-          </div>
        </el-form>

        <el-button size="large" type="primary" class="w-full" @click="login"
@ -122,7 +107,6 @@ import { useRoute, useRouter } from 'vue-router'
 import type { FormInstance, FormRules } from 'element-plus'
 import useStore from '@/stores'
 import authApi from '@/api/auth-setting'
-import useApi from '@/api/user'
 import { MsgConfirm, MsgError, MsgSuccess } from '@/utils/message'

 import { t, getBrowserLang } from '@/locales'
@ -136,15 +120,9 @@ const { user } = useStore()
 const router = useRouter()
 const loginForm = ref<LoginRequest>({
  username: '',
-  password: '',
-  captcha: ''
+  password: ''
 })
-const identifyCode = ref<string>('')
-function makeCode() {
-  useApi.getCaptcha().then((res: any) => {
-    identifyCode.value = res.data
-  })
-}
+
 const rules = ref<FormRules<LoginRequest>>({
  username: [
    {
@ -159,13 +137,6 @@ const rules = ref<FormRules<LoginRequest>>({
      message: t('views.user.userForm.form.password.requiredMessage'),
      trigger: 'blur'
    }
-  ],
-  captcha: [
-    {
-      required: true,
-      message: t('views.user.userForm.form.captcha.placeholder'),
-      trigger: 'blur'
-    }
  ]
 })
 const loginFormRef = ref<FormInstance>()
@ -251,8 +222,7 @@ function changeMode(val: string) {
  showQrCodeTab.value = false
  loginForm.value = {
    username: '',
-    password: '',
-    captcha: ''
+    password: ''
  }
  redirectAuth(val)
  loginFormRef.value?.clearValidate()
@ -262,12 +232,7 @@ const login = () => {
  loginFormRef.value?.validate().then(() => {
    loading.value = true
    user
-      .login(
-        loginMode.value,
-        loginForm.value.username,
-        loginForm.value.password,
-        loginForm.value.captcha
-      )
+      .login(loginMode.value, loginForm.value.username, loginForm.value.password)
      .then(() => {
        locale.value = localStorage.getItem('MaxKB-locale') || getBrowserLang() || 'en-US'
        router.push({ name: 'home' })
@ -320,7 +285,6 @@ onBeforeMount(() => {
 declare const window: any

 onMounted(() => {
-  makeCode()
  const route = useRoute()
  const currentUrl = ref(route.fullPath)
  const params = new URLSearchParams(currentUrl.value.split('?')[1])
--- a/ui/src/views/login/reset-password/index.vue
+++ b/ui/src/views/login/reset-password/index.vue
@ -1,5 +1,5 @@
 <template>
-  <login-layout v-if="!loading" v-loading="loading || sendLoading">
+  <login-layout v-if="!loading" v-loading="loading">
    <LoginContainer
      :subTitle="
        user.themeInfo?.slogan ? user.themeInfo?.slogan : $t('views.system.theme.defaultSlogan')
--- a/ui/src/views/user-manage/index.vue
+++ b/ui/src/views/user-manage/index.vue
@ -214,4 +214,8 @@ onMounted(() => {
  getList()
 })
 </script>
-<style lang="scss" scoped></style>
+<style lang="scss" scoped>
+.log-table tr {
+  cursor: pointer;
+}
+</style>
--- a/ui/src/workflow/nodes/application-node/index.vue
+++ b/ui/src/workflow/nodes/application-node/index.vue
@ -238,42 +238,49 @@ const update_field = () => {
        const new_user_input_field_list = cloneDeep(
          ok.data.work_flow.nodes[0].properties.user_input_field_list
        )
-
-        const merge_api_input_field_list = (new_api_input_field_list || []).map((item: any) => {
-          const find_field = old_api_input_field_list.find(
-            (old_item: any) => old_item.variable == item.variable
-          )
-          if (find_field) {
-            return {
-              ...item,
-              value: find_field.value,
-              label:
-                typeof item.label === 'object' && item.label != null ? item.label.label : item.label
+        const merge_api_input_field_list =
+          new_api_input_field_list ||
+          [].map((item: any) => {
+            const find_field = old_api_input_field_list.find(
+              (old_item: any) => old_item.variable == item.variable
+            )
+            if (find_field) {
+              return {
+                ...item,
+                value: find_field.value,
+                label:
+                  typeof item.label === 'object' && item.label != null
+                    ? item.label.label
+                    : item.label
+              }
+            } else {
+              return item
            }
-          } else {
-            return item
-          }
-        })
+          })
        set(
          props.nodeModel.properties.node_data,
          'api_input_field_list',
          merge_api_input_field_list
        )
-        const merge_user_input_field_list = (new_user_input_field_list || []).map((item: any) => {
-          const find_field = old_user_input_field_list.find(
-            (old_item: any) => old_item.field == item.field
-          )
-          if (find_field) {
-            return {
-              ...item,
-              value: find_field.value,
-              label:
-                typeof item.label === 'object' && item.label != null ? item.label.label : item.label
+        const merge_user_input_field_list =
+          new_user_input_field_list ||
+          [].map((item: any) => {
+            const find_field = old_user_input_field_list.find(
+              (old_item: any) => old_item.field == item.field
+            )
+            if (find_field) {
+              return {
+                ...item,
+                value: find_field.value,
+                label:
+                  typeof item.label === 'object' && item.label != null
+                    ? item.label.label
+                    : item.label
+              }
+            } else {
+              return item
            }
-          } else {
-            return item
-          }
-        })
+          })
        set(
          props.nodeModel.properties.node_data,
          'user_input_field_list',
--- a/ui/src/workflow/nodes/base-node/index.vue
+++ b/ui/src/workflow/nodes/base-node/index.vue
@ -316,7 +316,7 @@ const switchFileUpload = () => {
    audio: false,
    video: false,
    other: false,
-    otherExtensions: ['PPT', 'DOC']
+    otherExtensions: ['ppt', 'doc']
  }

  if (form_data.value.file_upload_enable) {
--- a/ui/src/workflow/nodes/form-node/index.ts
+++ b/ui/src/workflow/nodes/form-node/index.ts
@ -4,28 +4,6 @@ class FormNode extends AppNode {
  constructor(props: any) {
    super(props, FormNodeVue)
  }
-  get_node_field_list() {
-    const result = []
-    const fields = this.props.model.properties?.config?.fields || []
-
-    try {
-      this.props.model.properties.node_data.form_field_list.forEach((item: any) => {
-        if (!fields.some((f: any) => f.value === item.field)) {
-          fields.push({
-            value: item.field,
-            label: typeof item.label == 'string' ? item.label : item.label.label
-          })
-        }
-      })
-    } catch (e) {}
-    result.push({
-      value: this.props.model.id,
-      label: this.props.model.properties.stepName,
-      type: this.props.model.type,
-      children: fields
-    })
-    return result
-  }
 }
 export default {
  type: 'form-node',
--- a/ui/src/workflow/nodes/mcp-node/index.vue
+++ b/ui/src/workflow/nodes/mcp-node/index.vue
@ -59,149 +59,135 @@
    <h5 class="title-decoration-1 mb-8">
      {{ $t('views.applicationWorkflow.nodes.mcpNode.toolParam') }}
    </h5>
-    <template v-if="form_data.tool_params[form_data.params_nested]">
-      <div class="p-8-12" v-if="!form_data.mcp_tool">
-        <el-text type="info">{{ $t('common.noData') }}</el-text>
-      </div>
-      <div v-else class="border-r-4 p-8-12 mb-8 layout-bg lighter">
-        <el-form
-          ref="dynamicsFormRef"
-          label-position="top"
-          v-loading="loading"
-          require-asterisk-position="right"
-          :hide-required-asterisk="true"
-          v-if="form_data.mcp_tool"
-          @submit.prevent
+    <div
+      class="border-r-4 p-8-12 mb-8 layout-bg lighter"
+      v-if="form_data.tool_params[form_data.params_nested]"
+    >
+      <el-form
+        ref="dynamicsFormRef"
+        label-position="top"
+        v-loading="loading"
+        require-asterisk-position="right"
+        :hide-required-asterisk="true"
+        v-if="form_data.mcp_tool"
+        @submit.prevent
+      >
+        <el-form-item
+          v-for="item in form_data.tool_form_field" :key="item.field"
+          :required="item.required"
        >
-          <el-form-item
-            v-for="item in form_data.tool_form_field"
-            :key="item.field"
-            :required="item.required"
-          >
-            <template #label>
-              <div class="flex-between">
-                <div>
-                  <TooltipLabel :label="item.label.label" :tooltip="item.label.attrs.tooltip" />
-                  <span v-if="item.required" class="danger">*</span>
-                </div>
-                <el-select
-                  :teleported="false"
-                  v-model="item.source"
-                  size="small"
-                  style="width: 85px"
-                  @change="form_data.tool_params[form_data.params_nested] = {}"
-                >
-                  <el-option
-                    :label="$t('views.applicationWorkflow.nodes.replyNode.replyContent.reference')"
-                    value="referencing"
-                  />
-                  <el-option
-                    :label="$t('views.applicationWorkflow.nodes.replyNode.replyContent.custom')"
-                    value="custom"
-                  />
-                </el-select>
+          <template #label>
+            <div class="flex-between">
+              <div>
+                <TooltipLabel :label="item.label.label" :tooltip="item.label.attrs.tooltip" />
+                <span v-if="item.required" class="danger">*</span>
              </div>
-            </template>
-            <el-input
-              v-if="item.source === 'custom' && item.input_type === 'TextInput'"
-              v-model="form_data.tool_params[form_data.params_nested][item.label.label]"
-            />
-            <el-input-number
-              v-else-if="item.source === 'custom' && item.input_type === 'NumberInput'"
-              v-model="form_data.tool_params[form_data.params_nested][item.label.label]"
-            />
-            <el-switch
-              v-else-if="item.source === 'custom' && item.input_type === 'SwitchInput'"
-              v-model="form_data.tool_params[form_data.params_nested][item.label.label]"
-            />
-            <el-input
-              v-else-if="item.source === 'custom' && item.input_type === 'JsonInput'"
-              v-model="form_data.tool_params[form_data.params_nested][item.label.label]"
-              type="textarea"
-            />
-            <NodeCascader
-              v-if="item.source === 'referencing'"
-              ref="nodeCascaderRef2"
-              :nodeModel="nodeModel"
-              class="w-full"
-              :placeholder="$t('views.applicationWorkflow.variable.placeholder')"
-              v-model="form_data.tool_params[form_data.params_nested][item.label.label]"
-            />
-          </el-form-item>
-        </el-form>
-      </div>
-    </template>
-    <template v-else>
-      <div class="p-8-12"  v-if="!form_data.mcp_tool">
-        <el-text type="info">{{ $t('common.noData') }}</el-text>
-      </div>
-      <div v-else class="border-r-4 p-8-12 mb-8 layout-bg lighter">
-        <el-form
-          ref="dynamicsFormRef"
-          label-position="top"
-          v-loading="loading"
-          require-asterisk-position="right"
-          :hide-required-asterisk="true"
-          v-if="form_data.mcp_tool"
-          @submit.prevent
+              <el-select :teleported="false" v-model="item.source" size="small"
+                         style="width: 85px"
+                         @change="form_data.tool_params[form_data.params_nested] = {}">
+                <el-option
+                  :label="$t('views.applicationWorkflow.nodes.replyNode.replyContent.reference')"
+                  value="referencing"
+                />
+                <el-option
+                  :label="$t('views.applicationWorkflow.nodes.replyNode.replyContent.custom')"
+                  value="custom"
+                />
+              </el-select>
+            </div>
+          </template>
+          <el-input
+            v-if="item.source === 'custom' && item.input_type === 'TextInput'"
+            v-model="form_data.tool_params[form_data.params_nested][item.label.label]"
+          />
+          <el-input-number
+            v-else-if="item.source === 'custom' && item.input_type === 'NumberInput'"
+            v-model="form_data.tool_params[form_data.params_nested][item.label.label]"
+          />
+          <el-switch
+            v-else-if="item.source === 'custom' && item.input_type === 'SwitchInput'"
+            v-model="form_data.tool_params[form_data.params_nested][item.label.label]"
+          />
+          <el-input
+            v-else-if="item.source === 'custom' && item.input_type === 'JsonInput'"
+            v-model="form_data.tool_params[form_data.params_nested][item.label.label]"
+            type="textarea"
+          />
+          <NodeCascader
+            v-if="item.source === 'referencing'"
+            ref="nodeCascaderRef2"
+            :nodeModel="nodeModel"
+            class="w-full"
+            :placeholder="$t('views.applicationWorkflow.variable.placeholder')"
+            v-model="form_data.tool_params[form_data.params_nested][item.label.label]"
+          />
+        </el-form-item>
+      </el-form>
+    </div>
+    <div
+      v-else
+      class="border-r-4 p-8-12 mb-8 layout-bg lighter"
+    >
+      <el-form
+        ref="dynamicsFormRef"
+        label-position="top"
+        v-loading="loading"
+        require-asterisk-position="right"
+        :hide-required-asterisk="true"
+        v-if="form_data.mcp_tool"
+        @submit.prevent
+      >
+        <el-form-item
+          v-for="item in form_data.tool_form_field" :key="item.field"
+          :required="item.required"
        >
-          <el-form-item
-            v-for="item in form_data.tool_form_field"
-            :key="item.field"
-            :required="item.required"
-          >
-            <template #label>
-              <div class="flex-between">
-                <div>
-                  <TooltipLabel :label="item.label.label" :tooltip="item.label.attrs.tooltip" />
-                  <span v-if="item.required" class="danger">*</span>
-                </div>
-                <el-select
-                  :teleported="false"
-                  v-model="item.source"
-                  size="small"
-                  style="width: 85px"
-                >
-                  <el-option
-                    :label="$t('views.applicationWorkflow.nodes.replyNode.replyContent.reference')"
-                    value="referencing"
-                  />
-                  <el-option
-                    :label="$t('views.applicationWorkflow.nodes.replyNode.replyContent.custom')"
-                    value="custom"
-                  />
-                </el-select>
+          <template #label>
+            <div class="flex-between">
+              <div>
+                <TooltipLabel :label="item.label.label" :tooltip="item.label.attrs.tooltip" />
+                <span v-if="item.required" class="danger">*</span>
              </div>
-            </template>
-            <el-input
-              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-if="item.source === 'referencing'"
-              ref="nodeCascaderRef2"
-              :nodeModel="nodeModel"
-              class="w-full"
-              :placeholder="$t('views.applicationWorkflow.variable.placeholder')"
-              v-model="form_data.tool_params[item.label.label]"
-            />
-          </el-form-item>
-        </el-form>
-      </div>
-    </template>
+              <el-select :teleported="false" v-model="item.source" size="small"
+                         style="width: 85px">
+                <el-option
+                  :label="$t('views.applicationWorkflow.nodes.replyNode.replyContent.reference')"
+                  value="referencing"
+                />
+                <el-option
+                  :label="$t('views.applicationWorkflow.nodes.replyNode.replyContent.custom')"
+                  value="custom"
+                />
+              </el-select>
+            </div>
+          </template>
+          <el-input
+            v-if="item.source === 'custom' && item.input_type === 'TextInput'"
+            v-model="form_data.tool_params[item.label.label]"
+          />
+          <el-input-number
+            v-else-if="item.source === 'custom' && item.input_type === 'NumberInput'"
+            v-model="form_data.tool_params[item.label.label]"
+          />
+          <el-switch
+            v-else-if="item.source === 'custom' && item.input_type === 'SwitchInput'"
+            v-model="form_data.tool_params[item.label.label]"
+          />
+          <el-input
+            v-else-if="item.source === 'custom' && item.input_type === 'JsonInput'"
+            v-model="form_data.tool_params[item.label.label]"
+            type="textarea"
+          />
+          <NodeCascader
+            v-if="item.source === 'referencing'"
+            ref="nodeCascaderRef2"
+            :nodeModel="nodeModel"
+            class="w-full"
+            :placeholder="$t('views.applicationWorkflow.variable.placeholder')"
+            v-model="form_data.tool_params[item.label.label]"
+          />
+        </el-form-item>
+      </el-form>
+    </div>
  </NodeContainer>
 </template>
 <script setup lang="ts">
@ -266,10 +252,6 @@ function getTools() {
    .then((res: any) => {
      form_data.value.mcp_tools = res.data
      MsgSuccess(t('views.applicationWorkflow.nodes.mcpNode.getToolsSuccess'))
-      // 修改了json，刷新mcp_server
-      form_data.value.mcp_server = form_data.value.mcp_tools.filter(
-        (item: any) => item.name === form_data.value.mcp_tool
-      )[0].server
    })
 }

@ -337,7 +319,7 @@ function changeTool() {
      } else if (args_schema.properties[item].type === 'object') {
        input_type = 'JsonInput'
      }
-      console.log(args_schema.properties[item])
+      console.log(args_schema.properties[item]);
      form_data.value.tool_form_field.push({
        field: item,
        label: {