4.8.21 feature (#3720)

* agent search demo * edit form force close image select * feat: llm params and doubao1.5 * perf: model error tip * fix: template register path * package
2025-07-21 11:43:56 +00:00 · 2025-02-08 10:44:33 +08:00
parent bb82b515e0
commit 42b2046f96
45 changed files with 896 additions and 109 deletions
--- a/docSite/content/zh-cn/docs/development/docker.md
+++ b/docSite/content/zh-cn/docs/development/docker.md
@@ -11,7 +11,7 @@ weight: 707

 1. 基础的网络知识：端口，防火墙……  
 2. Docker 和 Docker Compose 基础知识  
-3. 大模型相关接口和参数
+3. 大模型相关接口和参数  
 4. RAG 相关知识：向量模型，向量数据库，向量检索

 ## 部署架构图
@@ -211,6 +211,8 @@ docker restart oneapi

 ### 6. 配置模型

+务必先配置至少一组模型，否则系统无法正常使用。
+
 [点击查看模型配置教程](/docs/development/modelConfig/intro/)

 ## FAQ
--- a/docSite/content/zh-cn/docs/development/faq.md
+++ b/docSite/content/zh-cn/docs/development/faq.md
@@ -130,7 +130,7 @@ OneAPI 的 API Key 配置错误，需要修改`OPENAI_API_KEY`环境变量，并

 ## 四、常见模型问题

-### 如何检查模型问题
+### 如何检查模型可用性问题

 1. 私有部署模型，先确认部署的模型是否正常。
 2. 通过 CURL 请求，直接测试上游模型是否正常运行（云端模型或私有模型均进行测试）
@@ -403,3 +403,7 @@ curl --location --request POST 'https://oneapi.xxxx/v1/chat/completions' \
  "tool_choice": "auto"
 }'
 ```
+
+### 向量检索得分大于 1
+
+由于模型没有归一化导致的。目前仅支持归一化的模型。
--- a/docSite/content/zh-cn/docs/development/sealos.md
+++ b/docSite/content/zh-cn/docs/development/sealos.md
@@ -60,6 +60,10 @@ FastGPT 使用了 one-api 项目来管理模型池，其可以兼容 OpenAI 、A

 ### 3. 配置模型

+### 4. 配置模型
+
+务必先配置至少一组模型，否则系统无法正常使用。
+
 [点击查看模型配置教程](/docs/development/modelConfig/intro/)

 ## 收费
--- a/docSite/content/zh-cn/docs/development/upgrading/4821.md
+++ b/docSite/content/zh-cn/docs/development/upgrading/4821.md
@@ -0,0 +1,20 @@
+---
+title: 'V4.8.21(进行中)'
+description: 'FastGPT V4.8.21 更新说明'
+icon: 'upgrade'
+draft: false
+toc: true
+weight: 804
+---
+
+
+
+## 完整更新内容
+
+1. 
+2. 新增 - LLM 模型支持 top_p, response_format, json_schema 参数。
+3. 新增 - Doubao1.5 模型预设。
+4. 优化 - 模型未配置时错误提示。
+5. 修复 - 简易模式，切换到其他非视觉模型时候，会强制关闭图片识别。
+6. 修复 - o1,o3 模型，在测试时候字段映射未生效导致报错。
+7. 修复 - 公众号对话空指针异常。
--- a/packages/global/core/ai/model.d.ts
+++ b/packages/global/core/ai/model.d.ts
@@ -26,11 +26,16 @@ type BaseModelItemType = {
 export type LLMModelItemType = PriceType &
  BaseModelItemType & {
    type: ModelTypeEnum.llm;
+    // Model params
    maxContext: number;
    maxResponse: number;
    quoteMaxToken: number;
    maxTemperature?: number;

+    showTopP?: boolean;
+    responseFormatList?: string[];
+    showStopSign?: boolean;
+
    censor?: boolean;
    vision?: boolean;
    reasoning?: boolean;
--- a/packages/global/core/app/type.d.ts
+++ b/packages/global/core/app/type.d.ts
@@ -74,13 +74,17 @@ export type AppDetailType = AppSchema & {
 export type AppSimpleEditFormType = {
  // templateId: string;
  aiSettings: {
-    model: string;
-    systemPrompt?: string | undefined;
-    temperature?: number;
-    maxToken?: number;
-    isResponseAnswerText: boolean;
+    [NodeInputKeyEnum.aiModel]: string;
+    [NodeInputKeyEnum.aiSystemPrompt]?: string | undefined;
+    [NodeInputKeyEnum.aiChatTemperature]?: number;
+    [NodeInputKeyEnum.aiChatMaxToken]?: number;
+    [NodeInputKeyEnum.aiChatIsResponseText]: boolean;
    maxHistories: number;
-    [NodeInputKeyEnum.aiChatReasoning]?: boolean;
+    [NodeInputKeyEnum.aiChatReasoning]?: boolean; // Is open reasoning mode
+    [NodeInputKeyEnum.aiChatTopP]?: number;
+    [NodeInputKeyEnum.aiChatStopSign]?: string;
+    [NodeInputKeyEnum.aiChatResponseFormat]?: string;
+    [NodeInputKeyEnum.aiChatJsonSchema]?: string;
  };
  dataset: {
    datasets: SelectedDatasetType;
@@ -119,6 +123,10 @@ export type SettingAIDataType = {
  maxHistories?: number;
  [NodeInputKeyEnum.aiChatVision]?: boolean; // Is open vision mode
  [NodeInputKeyEnum.aiChatReasoning]?: boolean; // Is open reasoning mode
+  [NodeInputKeyEnum.aiChatTopP]?: number;
+  [NodeInputKeyEnum.aiChatStopSign]?: string;
+  [NodeInputKeyEnum.aiChatResponseFormat]?: string;
+  [NodeInputKeyEnum.aiChatJsonSchema]?: string;
 };

 // variable
--- a/packages/global/core/workflow/constants.ts
+++ b/packages/global/core/workflow/constants.ts
@@ -142,6 +142,10 @@ export enum NodeInputKeyEnum {
  aiChatVision = 'aiChatVision',
  stringQuoteText = 'stringQuoteText',
  aiChatReasoning = 'aiChatReasoning',
+  aiChatTopP = 'aiChatTopP',
+  aiChatStopSign = 'aiChatStopSign',
+  aiChatResponseFormat = 'aiChatResponseFormat',
+  aiChatJsonSchema = 'aiChatJsonSchema',

  // dataset
  datasetSelectList = 'datasets',
--- a/packages/global/core/workflow/runtime/type.d.ts
+++ b/packages/global/core/workflow/runtime/type.d.ts
@@ -221,6 +221,10 @@ export type AIChatNodeProps = {
  [NodeInputKeyEnum.aiChatIsResponseText]: boolean;
  [NodeInputKeyEnum.aiChatVision]?: boolean;
  [NodeInputKeyEnum.aiChatReasoning]?: boolean;
+  [NodeInputKeyEnum.aiChatTopP]?: number;
+  [NodeInputKeyEnum.aiChatStopSign]?: string;
+  [NodeInputKeyEnum.aiChatResponseFormat]?: string;
+  [NodeInputKeyEnum.aiChatJsonSchema]?: string;

  [NodeInputKeyEnum.aiChatQuoteRole]?: AiChatQuoteRoleType;
  [NodeInputKeyEnum.aiChatQuoteTemplate]?: string;
--- a/packages/global/core/workflow/template/system/aiChat/index.ts
+++ b/packages/global/core/workflow/template/system/aiChat/index.ts
@@ -63,14 +63,12 @@ export const AiChatModule: FlowNodeTemplateType = {
      key: NodeInputKeyEnum.aiChatTemperature,
      renderTypeList: [FlowNodeInputTypeEnum.hidden], // Set in the pop-up window
      label: '',
-      value: undefined,
      valueType: WorkflowIOValueTypeEnum.number
    },
    {
      key: NodeInputKeyEnum.aiChatMaxToken,
      renderTypeList: [FlowNodeInputTypeEnum.hidden], // Set in the pop-up window
      label: '',
-      value: undefined,
      valueType: WorkflowIOValueTypeEnum.number
    },

@@ -98,6 +96,30 @@ export const AiChatModule: FlowNodeTemplateType = {
      valueType: WorkflowIOValueTypeEnum.boolean,
      value: true
    },
+    {
+      key: NodeInputKeyEnum.aiChatTopP,
+      renderTypeList: [FlowNodeInputTypeEnum.hidden],
+      label: '',
+      valueType: WorkflowIOValueTypeEnum.number
+    },
+    {
+      key: NodeInputKeyEnum.aiChatStopSign,
+      renderTypeList: [FlowNodeInputTypeEnum.hidden],
+      label: '',
+      valueType: WorkflowIOValueTypeEnum.string
+    },
+    {
+      key: NodeInputKeyEnum.aiChatResponseFormat,
+      renderTypeList: [FlowNodeInputTypeEnum.hidden],
+      label: '',
+      valueType: WorkflowIOValueTypeEnum.string
+    },
+    {
+      key: NodeInputKeyEnum.aiChatJsonSchema,
+      renderTypeList: [FlowNodeInputTypeEnum.hidden],
+      label: '',
+      valueType: WorkflowIOValueTypeEnum.string
+    },
    // settings modal ---
    {
      ...Input_Template_System_Prompt,
@@ -108,7 +130,6 @@ export const AiChatModule: FlowNodeTemplateType = {
    Input_Template_History,
    Input_Template_Dataset_Quote,
    Input_Template_File_Link_Prompt,
-
    { ...Input_Template_UserChatInput, toolDescription: i18nT('workflow:user_question') }
  ],
  outputs: [
--- a/packages/global/core/workflow/template/system/tools.ts
+++ b/packages/global/core/workflow/template/system/tools.ts
@@ -43,14 +43,12 @@ export const ToolModule: FlowNodeTemplateType = {
      key: NodeInputKeyEnum.aiChatTemperature,
      renderTypeList: [FlowNodeInputTypeEnum.hidden], // Set in the pop-up window
      label: '',
-      value: undefined,
      valueType: WorkflowIOValueTypeEnum.number
    },
    {
      key: NodeInputKeyEnum.aiChatMaxToken,
      renderTypeList: [FlowNodeInputTypeEnum.hidden], // Set in the pop-up window
      label: '',
-      value: undefined,
      valueType: WorkflowIOValueTypeEnum.number
    },
    {
@@ -60,6 +58,30 @@ export const ToolModule: FlowNodeTemplateType = {
      valueType: WorkflowIOValueTypeEnum.boolean,
      value: true
    },
+    {
+      key: NodeInputKeyEnum.aiChatTopP,
+      renderTypeList: [FlowNodeInputTypeEnum.hidden],
+      label: '',
+      valueType: WorkflowIOValueTypeEnum.number
+    },
+    {
+      key: NodeInputKeyEnum.aiChatStopSign,
+      renderTypeList: [FlowNodeInputTypeEnum.hidden],
+      label: '',
+      valueType: WorkflowIOValueTypeEnum.string
+    },
+    {
+      key: NodeInputKeyEnum.aiChatResponseFormat,
+      renderTypeList: [FlowNodeInputTypeEnum.hidden],
+      label: '',
+      valueType: WorkflowIOValueTypeEnum.string
+    },
+    {
+      key: NodeInputKeyEnum.aiChatJsonSchema,
+      renderTypeList: [FlowNodeInputTypeEnum.hidden],
+      label: '',
+      valueType: WorkflowIOValueTypeEnum.string
+    },

    {
      ...Input_Template_System_Prompt,
--- a/packages/service/core/ai/config/provider/DeepSeek.json
+++ b/packages/service/core/ai/config/provider/DeepSeek.json
@@ -5,7 +5,7 @@
      "model": "deepseek-chat",
      "name": "Deepseek-chat",
      "maxContext": 64000,
-      "maxResponse": 4096,
+      "maxResponse": 8000,
      "quoteMaxToken": 60000,
      "maxTemperature": 1.5,
      "vision": false,
@@ -25,7 +25,7 @@
      "model": "deepseek-reasoner",
      "name": "Deepseek-reasoner",
      "maxContext": 64000,
-      "maxResponse": 4096,
+      "maxResponse": 8000,
      "quoteMaxToken": 60000,
      "maxTemperature": null,
      "vision": false,
--- a/packages/service/core/ai/config/provider/Doubao.json
+++ b/packages/service/core/ai/config/provider/Doubao.json
@@ -1,6 +1,94 @@
 {
  "provider": "Doubao",
  "list": [
+    {
+      "model": "Doubao-1.5-lite-32k",
+      "name": "Doubao-1.5-lite-32k",
+      "maxContext": 32000,
+      "maxResponse": 4000,
+      "quoteMaxToken": 32000,
+      "maxTemperature": 1,
+      "vision": false,
+      "toolChoice": true,
+      "functionCall": false,
+      "defaultSystemChatPrompt": "",
+      "datasetProcess": true,
+      "usedInClassify": true,
+      "customCQPrompt": "",
+      "usedInExtractFields": true,
+      "usedInQueryExtension": true,
+      "customExtractPrompt": "",
+      "usedInToolCall": true,
+      "defaultConfig": {},
+      "fieldMap": {},
+      "type": "llm"
+    },
+    {
+      "model": "Doubao-1.5-pro-32k",
+      "name": "Doubao-1.5-pro-32k",
+      "maxContext": 32000,
+      "maxResponse": 4000,
+      "quoteMaxToken": 32000,
+      "maxTemperature": 1,
+      "vision": false,
+      "toolChoice": true,
+      "functionCall": false,
+      "defaultSystemChatPrompt": "",
+      "datasetProcess": true,
+      "usedInClassify": true,
+      "customCQPrompt": "",
+      "usedInExtractFields": true,
+      "usedInQueryExtension": true,
+      "customExtractPrompt": "",
+      "usedInToolCall": true,
+      "defaultConfig": {},
+      "fieldMap": {},
+      "type": "llm"
+    },
+    {
+      "model": "Doubao-1.5-pro-256k",
+      "name": "Doubao-1.5-pro-256k",
+      "maxContext": 256000,
+      "maxResponse": 12000,
+      "quoteMaxToken": 256000,
+      "maxTemperature": 1,
+      "vision": false,
+      "toolChoice": true,
+      "functionCall": false,
+      "defaultSystemChatPrompt": "",
+      "datasetProcess": true,
+      "usedInClassify": true,
+      "customCQPrompt": "",
+      "usedInExtractFields": true,
+      "usedInQueryExtension": true,
+      "customExtractPrompt": "",
+      "usedInToolCall": true,
+      "defaultConfig": {},
+      "fieldMap": {},
+      "type": "llm"
+    },
+    {
+      "model": "Doubao-1.5-vision-pro-32k",
+      "name": "Doubao-1.5-vision-pro-32k",
+      "maxContext": 32000,
+      "maxResponse": 4000,
+      "quoteMaxToken": 32000,
+      "maxTemperature": 1,
+      "vision": true,
+      "toolChoice": true,
+      "functionCall": false,
+      "defaultSystemChatPrompt": "",
+      "datasetProcess": true,
+      "usedInClassify": true,
+      "customCQPrompt": "",
+      "usedInExtractFields": true,
+      "usedInQueryExtension": true,
+      "customExtractPrompt": "",
+      "usedInToolCall": true,
+      "defaultConfig": {},
+      "fieldMap": {},
+      "type": "llm"
+    },
    {
      "model": "Doubao-lite-4k",
      "name": "Doubao-lite-4k",
--- a/packages/service/core/ai/config/provider/OpenAI.json
+++ b/packages/service/core/ai/config/provider/OpenAI.json
@@ -8,6 +8,9 @@
      "maxResponse": 16000,
      "quoteMaxToken": 60000,
      "maxTemperature": 1.2,
+      "showTopP": true,
+      "responseFormatList": ["text", "json_object", "json_schema"],
+      "showStopSign": true,
      "vision": true,
      "toolChoice": true,
      "functionCall": true,
--- a/packages/service/core/ai/config/utils.ts
+++ b/packages/service/core/ai/config/utils.ts
@@ -31,10 +31,12 @@ import { delay } from '@fastgpt/global/common/system/utils';
 export const loadSystemModels = async (init = false) => {
  const getProviderList = () => {
    const currentFileUrl = new URL(import.meta.url);
-    const modelsPath = path.join(
-      path.dirname(currentFileUrl.pathname.replace(/^\/+/, '')),
-      'provider'
+    const filePath = decodeURIComponent(
+      process.platform === 'win32'
+        ? currentFileUrl.pathname.substring(1) // Remove leading slash on Windows
+        : currentFileUrl.pathname
    );
+    const modelsPath = path.join(path.dirname(filePath), 'provider');

    return fs.readdirSync(modelsPath) as string[];
  };
@@ -150,6 +152,7 @@ export const loadSystemModels = async (init = false) => {
    console.error('Load models error', error);
    // @ts-ignore
    global.systemModelList = undefined;
+    return Promise.reject(error);
  }
 };

--- a/packages/service/core/ai/utils.ts
+++ b/packages/service/core/ai/utils.ts
@@ -37,9 +37,14 @@ export const computedTemperature = ({
  return temperature;
 };

-type CompletionsBodyType =
+type CompletionsBodyType = (
  | ChatCompletionCreateParamsNonStreaming
-  | ChatCompletionCreateParamsStreaming;
+  | ChatCompletionCreateParamsStreaming
+) & {
+  response_format?: any;
+  json_schema?: string;
+  stop?: string;
+};
 type InferCompletionsBody<T> = T extends { stream: true }
  ? ChatCompletionCreateParamsStreaming
  : ChatCompletionCreateParamsNonStreaming;
@@ -53,6 +58,10 @@ export const llmCompletionsBodyFormat = <T extends CompletionsBodyType>(
    return body as InferCompletionsBody<T>;
  }

+  const response_format = body.response_format;
+  const json_schema = body.json_schema ?? undefined;
+  const stop = body.stop ?? undefined;
+
  const requestBody: T = {
    ...body,
    temperature:
@@ -62,7 +71,14 @@ export const llmCompletionsBodyFormat = <T extends CompletionsBodyType>(
            temperature: body.temperature
          })
        : undefined,
-    ...modelData?.defaultConfig
+    ...modelData?.defaultConfig,
+    response_format: response_format
+      ? {
+          type: response_format,
+          json_schema
+        }
+      : undefined,
+    stop: stop?.split('|')
  };

  // field map
--- a/packages/service/core/dataset/search/agent.ts
+++ b/packages/service/core/dataset/search/agent.ts
@@ -0,0 +1,277 @@
+import { chats2GPTMessages } from '@fastgpt/global/core/chat/adapt';
+import { ChatItemType } from '@fastgpt/global/core/chat/type';
+import { DatasetSearchModeEnum } from '@fastgpt/global/core/dataset/constants';
+import { getLLMModel } from '../../ai/model';
+import { filterGPTMessageByMaxContext } from '../../chat/utils';
+import { replaceVariable } from '@fastgpt/global/common/string/tools';
+import { createChatCompletion } from '../../ai/config';
+import { llmCompletionsBodyFormat } from '../../ai/utils';
+import { ChatCompletionMessageParam } from '@fastgpt/global/core/ai/type';
+import { SearchDataResponseItemType } from '@fastgpt/global/core/dataset/type';
+import { searchDatasetData } from './controller';
+
+type SearchDatasetDataProps = {
+  queries: string[];
+  histories: ChatItemType[];
+  teamId: string;
+  model: string;
+  similarity?: number; // min distance
+  limit: number; // max Token limit
+  datasetIds: string[];
+  searchMode?: `${DatasetSearchModeEnum}`;
+  usingReRank?: boolean;
+  reRankQuery: string;
+
+  /* 
+      {
+        tags: {
+          $and: ["str1","str2"],
+          $or: ["str1","str2",null] null means no tags
+        },
+        createTime: {
+          $gte: 'xx',
+          $lte: 'xxx'
+        }
+      }
+    */
+  collectionFilterMatch?: string;
+};
+
+const analyzeQuery = async ({ query, histories }: { query: string; histories: ChatItemType[] }) => {
+  const modelData = getLLMModel('gpt-4o-mini');
+
+  const systemFewShot = `
+## 知识背景
+FastGPT 是低代码AI应用构建平台，支持通过语义相似度实现精准数据检索。用户正在利用该功能开发数据检索应用。
+
+## 任务目标
+基于用户历史对话和知识背景，生成多维度检索方案，确保覆盖核心语义及潜在关联维度。
+
+## 工作流程
+1. 问题解构阶段
+   [意图识别] 提取用户问题的核心实体和关系：
+   - 显性需求：直接提及的关键词
+   - 隐性需求：可能涉及的关联概念
+   [示例] 若问题为"推荐手机"，需考虑价格、品牌、使用场景等维度
+
+2. 完整性校验阶段
+   [完整性评估] 检查是否缺失核心实体和关系：
+   - 主语完整
+   - 多实体关系准确
+   [维度扩展] 检查是否需要补充：
+   □ 时间范围 □ 地理限定 □ 比较维度 
+   □ 专业术语 □ 同义词替换 □ 场景参数
+
+3. 检索生成阶段
+   [组合策略] 生成包含以下要素的查询序列：
+   ① 基础查询（核心关键词）
+   ② 扩展查询（核心+同义词）
+   ③ 场景查询（核心+场景限定词）
+   ④ 逆向查询（相关技术/对比对象）
+
+## 输出规范
+格式要求：
+1. 每个查询为完整陈述句
+2. 包含至少1个核心词+1个扩展维度
+3. 按查询范围从宽到窄排序
+
+禁止项：
+- 使用问句形式
+- 包含解决方案描述
+- 超出话题范围的假设
+
+## 执行示例
+用户问题："如何优化数据检索速度"
+
+查询内容：
+1. FastGPT 数据检索速度优化的常用方法
+2. FastGPT 大数据量下的语义检索性能提升方案
+3. FastGPT API 响应时间的优化指标
+
+## 任务开始
+`.trim();
+  const filterHistories = await filterGPTMessageByMaxContext({
+    messages: chats2GPTMessages({ messages: histories, reserveId: false }),
+    maxContext: modelData.maxContext - 1000
+  });
+
+  const messages = [
+    {
+      role: 'system',
+      content: systemFewShot
+    },
+    ...filterHistories,
+    {
+      role: 'user',
+      content: query
+    }
+  ] as any;
+
+  const { response: result } = await createChatCompletion({
+    body: llmCompletionsBodyFormat(
+      {
+        stream: false,
+        model: modelData.model,
+        temperature: 0.1,
+        messages
+      },
+      modelData
+    )
+  });
+  let answer = result.choices?.[0]?.message?.content || '';
+
+  // Extract queries from the answer by line number
+  const queries = answer
+    .split('\n')
+    .map((line) => {
+      const match = line.match(/^\d+\.\s*(.+)$/);
+      return match ? match[1].trim() : null;
+    })
+    .filter(Boolean) as string[];
+
+  if (queries.length === 0) {
+    return [answer];
+  }
+
+  return queries;
+};
+const checkQuery = async ({
+  queries,
+  histories,
+  searchResult
+}: {
+  queries: string[];
+  histories: ChatItemType[];
+  searchResult: SearchDataResponseItemType[];
+}) => {
+  const modelData = getLLMModel('gpt-4o-mini');
+
+  const systemFewShot = `
+## 知识背景
+FastGPT 是低代码AI应用构建平台，支持通过语义相似度实现精准数据检索。用户正在利用该功能开发数据检索应用。
+
+## 查询结果
+${searchResult.map((item) => item.q + item.a).join('---\n---')}
+
+## 任务目标
+检查"检索结果"是否覆盖用户的问题，如果无法覆盖用户问题，则再次生成检索方案。
+
+## 工作流程
+1. 检查检索结果是否覆盖用户的问题
+2. 如果检索结果覆盖用户问题，则直接输出："Done"
+3. 如果无法覆盖用户问题，则结合用户问题和检索结果，生成进一步的检索方案，进行深度检索
+
+## 输出规范
+
+1. 每个查询均为完整的查询语句
+2. 通过序号来表示多个检索内容
+
+## 输出示例1
+Done
+
+## 输出示例2
+1. 环界云计算的办公地址
+2. 环界云计算的注册地址在哪里
+
+## 任务开始
+`.trim();
+  const filterHistories = await filterGPTMessageByMaxContext({
+    messages: chats2GPTMessages({ messages: histories, reserveId: false }),
+    maxContext: modelData.maxContext - 1000
+  });
+
+  const messages = [
+    {
+      role: 'system',
+      content: systemFewShot
+    },
+    ...filterHistories,
+    {
+      role: 'user',
+      content: queries.join('\n')
+    }
+  ] as any;
+  console.log(messages);
+  const { response: result } = await createChatCompletion({
+    body: llmCompletionsBodyFormat(
+      {
+        stream: false,
+        model: modelData.model,
+        temperature: 0.1,
+        messages
+      },
+      modelData
+    )
+  });
+  let answer = result.choices?.[0]?.message?.content || '';
+  console.log(answer);
+  if (answer.includes('Done')) {
+    return [];
+  }
+
+  const nextQueries = answer
+    .split('\n')
+    .map((line) => {
+      const match = line.match(/^\d+\.\s*(.+)$/);
+      return match ? match[1].trim() : null;
+    })
+    .filter(Boolean) as string[];
+
+  return nextQueries;
+};
+export const agentSearchDatasetData = async ({
+  searchRes = [],
+  tokens = 0,
+  ...props
+}: SearchDatasetDataProps & {
+  searchRes?: SearchDataResponseItemType[];
+  tokens?: number;
+}) => {
+  const query = props.queries[0];
+
+  const searchResultList: SearchDataResponseItemType[] = [];
+  let searchQueries: string[] = [];
+
+  // 1. agent 分析问题
+  searchQueries = await analyzeQuery({ query, histories: props.histories });
+
+  // 2. 检索内容 + 检查
+  let retryTimes = 3;
+  while (true) {
+    retryTimes--;
+    if (retryTimes < 0) break;
+
+    console.log(searchQueries, '--');
+    const { searchRes: searchRes2, tokens: tokens2 } = await searchDatasetData({
+      ...props,
+      queries: searchQueries
+    });
+    // console.log(searchRes2.map((item) => item.q));
+    // deduplicate and merge search results
+    const uniqueResults = searchRes2.filter((item) => {
+      return !searchResultList.some((existingItem) => existingItem.id === item.id);
+    });
+    searchResultList.push(...uniqueResults);
+    if (uniqueResults.length === 0) break;
+
+    const checkResult = await checkQuery({
+      queries: searchQueries,
+      histories: props.histories,
+      searchResult: searchRes2
+    });
+
+    if (checkResult.length > 0) {
+      searchQueries = checkResult;
+    } else {
+      break;
+    }
+  }
+
+  console.log(searchResultList.length);
+  return {
+    searchRes: searchResultList,
+    tokens: 0,
+    usingSimilarityFilter: false,
+    usingReRank: false
+  };
+};
--- a/packages/service/core/dataset/search/controller.ts
+++ b/packages/service/core/dataset/search/controller.ts
@@ -23,8 +23,10 @@ import json5 from 'json5';
 import { MongoDatasetCollectionTags } from '../tag/schema';
 import { readFromSecondary } from '../../../common/mongo/utils';
 import { MongoDatasetDataText } from '../data/dataTextSchema';
+import { ChatItemType } from '@fastgpt/global/core/chat/type';

 type SearchDatasetDataProps = {
+  histories?: ChatItemType[];
  teamId: string;
  model: string;
  similarity?: number; // min distance
--- a/packages/service/core/workflow/dispatch/agent/runTool/functionCall.ts
+++ b/packages/service/core/workflow/dispatch/agent/runTool/functionCall.ts
@@ -46,7 +46,15 @@ export const runToolWithFunctionCall = async (
    externalProvider,
    stream,
    workflowStreamResponse,
-    params: { temperature, maxToken, aiChatVision }
+    params: {
+      temperature,
+      maxToken,
+      aiChatVision,
+      aiChatTopP,
+      aiChatStopSign,
+      aiChatResponseFormat,
+      aiChatJsonSchema
+    }
  } = workflowProps;

  // Interactive
@@ -204,12 +212,18 @@ export const runToolWithFunctionCall = async (
  const requestBody = llmCompletionsBodyFormat(
    {
      model: toolModel.model,
-      temperature,
-      max_tokens,
+
      stream,
      messages: requestMessages,
      functions,
-      function_call: 'auto'
+      function_call: 'auto',
+
+      temperature,
+      max_tokens,
+      top_p: aiChatTopP,
+      stop: aiChatStopSign,
+      response_format: aiChatResponseFormat,
+      json_schema: aiChatJsonSchema
    },
    toolModel
  );
--- a/packages/service/core/workflow/dispatch/agent/runTool/promptCall.ts
+++ b/packages/service/core/workflow/dispatch/agent/runTool/promptCall.ts
@@ -54,7 +54,15 @@ export const runToolWithPromptCall = async (
    externalProvider,
    stream,
    workflowStreamResponse,
-    params: { temperature, maxToken, aiChatVision }
+    params: {
+      temperature,
+      maxToken,
+      aiChatVision,
+      aiChatTopP,
+      aiChatStopSign,
+      aiChatResponseFormat,
+      aiChatJsonSchema
+    }
  } = workflowProps;

  if (interactiveEntryToolParams) {
@@ -215,10 +223,14 @@ export const runToolWithPromptCall = async (
  const requestBody = llmCompletionsBodyFormat(
    {
      model: toolModel.model,
+      stream,
+      messages: requestMessages,
      temperature,
      max_tokens,
-      stream,
-      messages: requestMessages
+      top_p: aiChatTopP,
+      stop: aiChatStopSign,
+      response_format: aiChatResponseFormat,
+      json_schema: aiChatJsonSchema
    },
    toolModel
  );
--- a/packages/service/core/workflow/dispatch/agent/runTool/toolChoice.ts
+++ b/packages/service/core/workflow/dispatch/agent/runTool/toolChoice.ts
@@ -93,7 +93,15 @@ export const runToolWithToolChoice = async (
    stream,
    externalProvider,
    workflowStreamResponse,
-    params: { temperature, maxToken, aiChatVision }
+    params: {
+      temperature,
+      maxToken,
+      aiChatVision,
+      aiChatTopP,
+      aiChatStopSign,
+      aiChatResponseFormat,
+      aiChatJsonSchema
+    }
  } = workflowProps;

  if (maxRunToolTimes <= 0 && response) {
@@ -263,12 +271,16 @@ export const runToolWithToolChoice = async (
  const requestBody = llmCompletionsBodyFormat(
    {
      model: toolModel.model,
-      temperature,
-      max_tokens,
      stream,
      messages: requestMessages,
      tools,
-      tool_choice: 'auto'
+      tool_choice: 'auto',
+      temperature,
+      max_tokens,
+      top_p: aiChatTopP,
+      stop: aiChatStopSign,
+      response_format: aiChatResponseFormat,
+      json_schema: aiChatJsonSchema
    },
    toolModel
  );
--- a/packages/service/core/workflow/dispatch/agent/runTool/type.d.ts
+++ b/packages/service/core/workflow/dispatch/agent/runTool/type.d.ts
@@ -16,12 +16,16 @@ export type DispatchToolModuleProps = ModuleDispatchProps<{
  [NodeInputKeyEnum.history]?: ChatItemType[];
  [NodeInputKeyEnum.userChatInput]: string;

+  [NodeInputKeyEnum.fileUrlList]?: string[];
  [NodeInputKeyEnum.aiModel]: string;
  [NodeInputKeyEnum.aiSystemPrompt]: string;
  [NodeInputKeyEnum.aiChatTemperature]: number;
  [NodeInputKeyEnum.aiChatMaxToken]: number;
  [NodeInputKeyEnum.aiChatVision]?: boolean;
-  [NodeInputKeyEnum.fileUrlList]?: string[];
+  [NodeInputKeyEnum.aiChatTopP]?: number;
+  [NodeInputKeyEnum.aiChatStopSign]?: string;
+  [NodeInputKeyEnum.aiChatResponseFormat]?: string;
+  [NodeInputKeyEnum.aiChatJsonSchema]?: string;
 }> & {
  messages: ChatCompletionMessageParam[];
  toolNodes: ToolNodeItemType[];
--- a/packages/service/core/workflow/dispatch/chat/oneapi.ts
+++ b/packages/service/core/workflow/dispatch/chat/oneapi.ts
@@ -89,6 +89,11 @@ export const dispatchChatCompletion = async (props: ChatProps): Promise<ChatResp
      quotePrompt,
      aiChatVision,
      aiChatReasoning = true,
+      aiChatTopP,
+      aiChatStopSign,
+      aiChatResponseFormat,
+      aiChatJsonSchema,
+
      fileUrlList: fileLinks, // node quote file links
      stringQuoteText //abandon
    }
@@ -100,6 +105,7 @@ export const dispatchChatCompletion = async (props: ChatProps): Promise<ChatResp
    return Promise.reject('The chat model is undefined, you need to select a chat model.');
  }

+  aiChatVision = modelConstantsData.vision && aiChatVision;
  stream = stream && isResponseAnswerText;
  aiChatReasoning = !!aiChatReasoning && !!modelConstantsData.reasoning;

@@ -160,17 +166,21 @@ export const dispatchChatCompletion = async (props: ChatProps): Promise<ChatResp

  const requestMessages = await loadRequestMessages({
    messages: filterMessages,
-    useVision: modelConstantsData.vision && aiChatVision,
+    useVision: aiChatVision,
    origin: requestOrigin
  });

  const requestBody = llmCompletionsBodyFormat(
    {
      model: modelConstantsData.model,
+      stream,
+      messages: requestMessages,
      temperature,
      max_tokens,
-      stream,
-      messages: requestMessages
+      top_p: aiChatTopP,
+      stop: aiChatStopSign,
+      response_format: aiChatResponseFormat as any,
+      json_schema: aiChatJsonSchema
    },
    modelConstantsData
  );
@@ -259,11 +269,7 @@ export const dispatchChatCompletion = async (props: ChatProps): Promise<ChatResp
      outputTokens: outputTokens,
      query: `${userChatInput}`,
      maxToken: max_tokens,
-      historyPreview: getHistoryPreview(
-        chatCompleteMessages,
-        10000,
-        modelConstantsData.vision && aiChatVision
-      ),
+      historyPreview: getHistoryPreview(chatCompleteMessages, 10000, aiChatVision),
      contextTotalLen: completeMessages.length
    },
    [DispatchNodeResponseKeyEnum.nodeDispatchUsages]: [
--- a/packages/service/worker/utils.ts
+++ b/packages/service/worker/utils.ts
@@ -120,7 +120,7 @@ export class WorkerPool<Props = Record<string, any>, Response = any> {

  run(data: Props) {
    // watch memory
-    addLog.debug(`${this.name} worker queueLength: ${this.workerQueue.length}`);
+    // addLog.debug(`${this.name} worker queueLength: ${this.workerQueue.length}`);

    return new Promise<Response>((resolve, reject) => {
      /* 
--- a/packages/templates/register.ts
+++ b/packages/templates/register.ts
@@ -7,7 +7,12 @@ import { AppTemplateSchemaType } from '@fastgpt/global/core/app/type';

 const getTemplateNameList = () => {
  const currentFileUrl = new URL(import.meta.url);
-  const templatesPath = path.join(path.dirname(currentFileUrl.pathname), 'src');
+  const filePath = decodeURIComponent(
+    process.platform === 'win32'
+      ? currentFileUrl.pathname.substring(1) // Remove leading slash on Windows
+      : currentFileUrl.pathname
+  );
+  const templatesPath = path.join(path.dirname(filePath), 'src');

  return fs.readdirSync(templatesPath) as string[];
 };
--- a/packages/web/components/common/MySlider/InputSlider.tsx
+++ b/packages/web/components/common/MySlider/InputSlider.tsx
@@ -27,7 +27,7 @@ const InputSlider = ({
      valLen * 0.8 + min,
      valLen * 0.985 + min
    ];
-  }, []);
+  }, [max, min]);

  return (
    <HStack zIndex={10} spacing={3}>
--- a/packages/web/i18n/en/account.json
+++ b/packages/web/i18n/en/account.json
@@ -55,6 +55,9 @@
  "model.request_auth_tip": "When making a request to a custom request address, carry the request header: Authorization: Bearer xxx to make the request.",
  "model.request_url": "Custom url",
  "model.request_url_tip": "If you fill in this value, you will initiate a request directly without passing. \nYou need to follow the API format of Openai and fill in the full request address, such as\n\nLLM: {Host}}/v1/Chat/Completions\n\nEmbedding: {host}}/v1/embeddings\n\nSTT: {Host}/v1/Audio/Transcriptions\n\nTTS: {Host}}/v1/Audio/Speech\n\nRERARARARARARARANK: {Host}}/v1/RERARARARARARARARARARANK",
+  "model.response_format": "Response format",
+  "model.show_stop_sign": "Display stop sequence parameters",
+  "model.show_top_p": "Show Top-p parameters",
  "model.test_model": "Model testing",
  "model.tool_choice": "Tool choice",
  "model.tool_choice_tag": "ToolCall",
--- a/packages/web/i18n/en/app.json
+++ b/packages/web/i18n/en/app.json
@@ -110,12 +110,16 @@
  "publish_success": "Publish Successful",
  "question_guide_tip": "After the conversation, 3 guiding questions will be generated for you.",
  "reasoning_response": "Output thinking",
+  "response_format": "Response format",
  "saved_success": "Saved successfully! \nTo use this version externally, click Save and Publish",
  "search_app": "Search apps",
  "setting_app": "Workflow",
  "setting_plugin": "Workflow",
+  "show_top_p_tip": "An alternative method of temperature sampling, called Nucleus sampling, the model considers the results of tokens with TOP_P probability mass quality. \nTherefore, 0.1 means that only tokens containing the highest probability quality are considered. \nThe default is 1.",
  "simple_tool_tips": "This plugin contains special inputs and is not currently supported for invocation by simple applications.",
  "source_updateTime": "Update time",
+  "stop_sign": "Stop",
+  "stop_sign_placeholder": "Multiple serial numbers are separated by |, for example: aaa|stop",
  "stream_response": "Stream",
  "stream_response_tip": "Turning this switch off forces the model to use non-streaming mode and will not output content directly. \nIn the output of the AI reply, the content output by this model can be obtained for secondary processing.",
  "temperature": "Temperature",
--- a/packages/web/i18n/en/login.json
+++ b/packages/web/i18n/en/login.json
@@ -1,20 +1,21 @@
 {
  "Chinese_ip_tip": "It is detected that you are a mainland Chinese IP, click to jump to visit the mainland China version.",
  "Login": "Login",
+  "agree": "agree",
+  "cookies_tip": " This website uses cookies to provide a better service experience. By continuing to use the site, you agree to our Cookie Policy.",
  "forget_password": "Find Password",
  "login_failed": "Login failed",
  "login_success": "Login successful",
+  "model_not_config": "It is detected that the system has not configured the model, please configure the model before using it",
  "no_remind": "Don't remind again",
  "password_condition": "Password maximum 60 characters",
  "password_tip": "Password must be at least 6 characters long and contain at least two combinations: numbers, letters, or special characters",
  "policy_tip": "By using this service, you agree to our",
  "privacy": "Privacy Policy",
+  "privacy_policy": "Privacy Policy",
  "redirect": "Jump",
  "register": "Register",
  "root_password_placeholder": "The root user password is the value of the environment variable DEFAULT_ROOT_PSW",
  "terms": "Terms",
-  "use_root_login": "Log in as root user",
-  "agree": "agree",
-  "cookies_tip": " This website uses cookies to provide a better service experience. By continuing to use the site, you agree to our Cookie Policy.",
-  "privacy_policy": "Privacy Policy"
+  "use_root_login": "Log in as root user"
 }
--- a/packages/web/i18n/zh-CN/account.json
+++ b/packages/web/i18n/zh-CN/account.json
@@ -55,6 +55,9 @@
  "model.request_auth_tip": "向自定义请求地址发起请求时候，携带请求头：Authorization: Bearer xxx 进行请求",
  "model.request_url": "自定义请求地址",
  "model.request_url_tip": "如果填写该值，则会直接向该地址发起请求，不经过 OneAPI。需要遵循 OpenAI 的 API格式，并填写完整请求地址，例如：\nLLM: {{host}}/v1/chat/completions\nEmbedding: {{host}}/v1/embeddings\nSTT: {{host}}/v1/audio/transcriptions\nTTS: {{host}}/v1/audio/speech\nRerank: {{host}}/v1/rerank",
+  "model.response_format": "响应格式",
+  "model.show_stop_sign": "展示停止序列参数",
+  "model.show_top_p": "展示 Top-p 参数",
  "model.test_model": "模型测试",
  "model.tool_choice": "支持工具调用",
  "model.tool_choice_tag": "工具调用",
--- a/packages/web/i18n/zh-CN/app.json
+++ b/packages/web/i18n/zh-CN/app.json
@@ -110,12 +110,16 @@
  "publish_success": "发布成功",
  "question_guide_tip": "对话结束后，会为你生成 3 个引导性问题。",
  "reasoning_response": "输出思考",
+  "response_format": "回复格式",
  "saved_success": "保存成功！如需在外部使用该版本，请点击“保存并发布”",
  "search_app": "搜索应用",
  "setting_app": "应用配置",
  "setting_plugin": "插件配置",
+  "show_top_p_tip": "用温度采样的替代方法，称为Nucleus采样，该模型考虑了具有TOP_P概率质量质量的令牌的结果。因此，0.1表示仅考虑包含最高概率质量的令牌。默认为 1。",
  "simple_tool_tips": "该插件含有特殊输入，暂不支持被简易应用调用",
  "source_updateTime": "更新时间",
+  "stop_sign": "停止序列",
+  "stop_sign_placeholder": "多个序列号通过 | 隔开，例如：aaa|stop",
  "stream_response": "流输出",
  "stream_response_tip": "关闭该开关，可以强制模型使用非流模式，并且不会直接进行内容输出。可以在 AI 回复的输出中，获取本次模型输出的内容进行二次处理。",
  "temperature": "温度",
--- a/packages/web/i18n/zh-CN/login.json
+++ b/packages/web/i18n/zh-CN/login.json
@@ -6,6 +6,7 @@
  "forget_password": "忘记密码?",
  "login_failed": "登录异常",
  "login_success": "登录成功",
+  "model_not_config": "检测到系统未配置模型，请先配置模型后再使用",
  "no_remind": "不再提醒",
  "password_condition": "密码最多 60 位",
  "password_tip": "密码至少 6 位，且至少包含两种组合：数字、字母或特殊字符",
--- a/packages/web/i18n/zh-Hant/account.json
+++ b/packages/web/i18n/zh-Hant/account.json
@@ -54,6 +54,9 @@
  "model.request_auth_tip": "向自訂請求地址發起請求時候，攜帶請求頭：Authorization: Bearer xxx 進行請求",
  "model.request_url": "自訂請求地址",
  "model.request_url_tip": "如果填寫該值，則會直接向該地址發起請求，不經過 OneAPI。\n需要遵循 OpenAI 的 API格式，並填寫完整請求地址，例如：\n\nLLM: {{host}}/v1/chat/completions\n\nEmbedding: {{host}}/v1/embeddings\n\nSTT: {{host}}/v1/audio/transcriptions\n\nTTS: {{host}}/v1/audio/speech\n\nRerank: {{host}}/v1/rerank",
+  "model.response_format": "響應格式",
+  "model.show_stop_sign": "展示停止序列參數",
+  "model.show_top_p": "展示 Top-p 參數",
  "model.test_model": "模型測試",
  "model.tool_choice": "支援工具調用",
  "model.tool_choice_tag": "工具調用",
--- a/packages/web/i18n/zh-Hant/app.json
+++ b/packages/web/i18n/zh-Hant/app.json
@@ -110,12 +110,16 @@
  "publish_success": "發布成功",
  "question_guide_tip": "對話結束後，會為你產生 3 個引導性問題。",
  "reasoning_response": "輸出思考",
+  "response_format": "回复格式",
  "saved_success": "保存成功！\n如需在外部使用該版本，請點擊“儲存並發布”",
  "search_app": "搜尋應用程式",
  "setting_app": "應用程式設定",
  "setting_plugin": "外掛設定",
+  "show_top_p_tip": "用溫度採樣的替代方法，稱為Nucleus採樣，該模型考慮了具有TOP_P概率質量質量的令牌的結果。\n因此，0.1表示僅考慮包含最高概率質量的令牌。\n默認為 1。",
  "simple_tool_tips": "該插件含有特殊輸入，暫不支持被簡易應用調用",
  "source_updateTime": "更新時間",
+  "stop_sign": "停止序列",
+  "stop_sign_placeholder": "多個序列號通過 | 隔開，例如：aaa|stop",
  "stream_response": "流輸出",
  "stream_response_tip": "關閉該開關，可以強制模型使用非流模式，並且不會直接進行內容輸出。\n可在 AI 回覆的輸出中，取得本次模型輸出的內容進行二次處理。",
  "temperature": "溫度",
--- a/packages/web/i18n/zh-Hant/login.json
+++ b/packages/web/i18n/zh-Hant/login.json
@@ -6,6 +6,7 @@
  "forget_password": "忘記密碼？",
  "login_failed": "登入失敗",
  "login_success": "登入成功",
+  "model_not_config": "檢測到系統未配置模型，請先配置模型後再使用",
  "no_remind": "不再提醒",
  "password_condition": "密碼最多 60 個字元",
  "password_tip": "密碼至少 6 位，且至少包含兩種組合：數字、字母或特殊字符",
--- a/projects/app/package.json
+++ b/projects/app/package.json
@@ -1,6 +1,6 @@
 {
  "name": "app",
-  "version": "4.8.20",
+  "version": "4.8.21",
  "private": false,
  "scripts": {
    "dev": "next dev",
--- a/projects/app/src/components/core/ai/AISettingModal/index.tsx
+++ b/projects/app/src/components/core/ai/AISettingModal/index.tsx
@@ -18,7 +18,8 @@ import {
  Thead,
  Tr,
  Table,
-  FlexProps
+  FlexProps,
+  Input
 } from '@chakra-ui/react';
 import { useSystemStore } from '@/web/common/system/useSystemStore';
 import { NodeInputKeyEnum } from '@fastgpt/global/core/workflow/constants';
@@ -31,13 +32,15 @@ import { getWebLLMModel } from '@/web/common/system/utils';
 import MyIcon from '@fastgpt/web/components/common/Icon';
 import dynamic from 'next/dynamic';
 import InputSlider from '@fastgpt/web/components/common/MySlider/InputSlider';
+import MySelect from '@fastgpt/web/components/common/MySelect';
+import JsonEditor from '@fastgpt/web/components/common/Textarea/JsonEditor';

 const ModelPriceModal = dynamic(() =>
  import('@/components/core/ai/ModelTable').then((mod) => mod.ModelPriceModal)
 );

 const FlexItemStyles: FlexProps = {
-  mt: 5,
+  mt: 4,
  alignItems: 'center',
  h: '35px'
 };
@@ -68,7 +71,7 @@ const AIChatSettingsModal = ({
  const [refresh, setRefresh] = useState(false);
  const { feConfigs } = useSystemStore();

-  const { handleSubmit, getValues, setValue, watch } = useForm({
+  const { handleSubmit, getValues, setValue, watch, register } = useForm({
    defaultValues: defaultData
  });
  const model = watch('model');
@@ -88,6 +91,17 @@ const AIChatSettingsModal = ({
  const llmSupportTemperature = typeof selectedModel?.maxTemperature === 'number';
  const llmSupportReasoning = !!selectedModel?.reasoning;

+  const topP = watch(NodeInputKeyEnum.aiChatTopP);
+  const llmSupportTopP = !!selectedModel?.showTopP;
+
+  const stopSign = watch(NodeInputKeyEnum.aiChatStopSign);
+  const llmSupportStopSign = !!selectedModel?.showStopSign;
+
+  const responseFormat = watch(NodeInputKeyEnum.aiChatResponseFormat);
+  const jsonSchema = watch(NodeInputKeyEnum.aiChatJsonSchema);
+  const llmSupportResponseFormat =
+    !!selectedModel?.responseFormatList && selectedModel?.responseFormatList.length > 0;
+
  const tokenLimit = useMemo(() => {
    return selectedModel?.maxResponse || 4096;
  }, [selectedModel?.maxResponse]);
@@ -146,7 +160,7 @@ const AIChatSettingsModal = ({
        </Flex>

        <TableContainer
-          my={5}
+          my={4}
          bg={'primary.50'}
          borderRadius={'lg'}
          borderWidth={'1px'}
@@ -291,6 +305,110 @@ const AIChatSettingsModal = ({
            </Box>
          </Flex>
        )}
+        {llmSupportTopP && (
+          <Flex {...FlexItemStyles}>
+            <Box {...LabelStyles}>
+              <Flex alignItems={'center'}>
+                <Box mr={0.5}>Top_p</Box>
+                <QuestionTip label={t('app:show_top_p_tip')} />
+              </Flex>
+              <Switch
+                isChecked={topP !== undefined}
+                size={'sm'}
+                onChange={(e) => {
+                  setValue(NodeInputKeyEnum.aiChatTopP, e.target.checked ? 1 : undefined);
+                }}
+              />
+            </Box>
+            <Box flex={'1 0 0'}>
+              <InputSlider
+                min={0}
+                max={1}
+                step={0.1}
+                value={topP}
+                isDisabled={topP === undefined}
+                onChange={(e) => {
+                  setValue(NodeInputKeyEnum.aiChatTopP, e);
+                  setRefresh(!refresh);
+                }}
+              />
+            </Box>
+          </Flex>
+        )}
+        {llmSupportStopSign && (
+          <Flex {...FlexItemStyles}>
+            <Box {...LabelStyles}>
+              <Flex alignItems={'center'}>
+                <Box mr={0.5}>{t('app:stop_sign')}</Box>
+              </Flex>
+              <Switch
+                isChecked={stopSign !== undefined}
+                size={'sm'}
+                onChange={(e) => {
+                  setValue(NodeInputKeyEnum.aiChatStopSign, e.target.checked ? '' : undefined);
+                }}
+              />
+            </Box>
+            <Box flex={'1 0 0'}>
+              <Input
+                isDisabled={stopSign === undefined}
+                size={'sm'}
+                {...register(NodeInputKeyEnum.aiChatStopSign)}
+                placeholder={t('app:stop_sign_placeholder')}
+                bg={'myGray.25'}
+              />
+            </Box>
+          </Flex>
+        )}
+        {llmSupportResponseFormat && selectedModel?.responseFormatList && (
+          <Flex {...FlexItemStyles}>
+            <Box {...LabelStyles}>
+              <Flex alignItems={'center'}>{t('app:response_format')}</Flex>
+              <Switch
+                isChecked={responseFormat !== undefined}
+                size={'sm'}
+                onChange={(e) => {
+                  setValue(
+                    NodeInputKeyEnum.aiChatResponseFormat,
+                    e.target.checked ? selectedModel?.responseFormatList?.[0] : undefined
+                  );
+                }}
+              />
+            </Box>
+            <Box flex={'1 0 0'}>
+              <MySelect<string>
+                isDisabled={responseFormat === undefined}
+                size={'sm'}
+                bg={'myGray.25'}
+                list={selectedModel.responseFormatList.map((item) => ({
+                  value: item,
+                  label: item
+                }))}
+                value={responseFormat}
+                onchange={(e) => {
+                  setValue(NodeInputKeyEnum.aiChatResponseFormat, e);
+                }}
+              />
+            </Box>
+          </Flex>
+        )}
+        {/* Json schema */}
+        {responseFormat === 'json_schema' && (
+          <Flex {...FlexItemStyles} h="auto">
+            <Box {...LabelStyles}>
+              <Flex alignItems={'center'}>JSON Schema</Flex>
+            </Box>
+            <Box flex={'1 0 0'}>
+              <JsonEditor
+                value={jsonSchema || ''}
+                onChange={(e) => {
+                  setValue(NodeInputKeyEnum.aiChatJsonSchema, e);
+                }}
+                bg={'myGray.25'}
+              />
+            </Box>
+          </Flex>
+        )}
        {llmSupportReasoning && (
          <Flex {...FlexItemStyles} h={'25px'}>
            <Box {...LabelStyles}>
@@ -306,25 +424,6 @@ const AIChatSettingsModal = ({
            </Box>
          </Flex>
        )}
-        {showResponseAnswerText && (
-          <Flex {...FlexItemStyles} h={'25px'}>
-            <Box {...LabelStyles}>
-              <Flex alignItems={'center'}>
-                {t('app:stream_response')}
-                <QuestionTip ml={1} label={t('app:stream_response_tip')}></QuestionTip>
-              </Flex>
-              <Switch
-                isChecked={getValues(NodeInputKeyEnum.aiChatIsResponseText)}
-                size={'sm'}
-                onChange={(e) => {
-                  const value = e.target.checked;
-                  setValue(NodeInputKeyEnum.aiChatIsResponseText, value);
-                  setRefresh((state) => !state);
-                }}
-              />
-            </Box>
-          </Flex>
-        )}
        {showVisionSwitch && (
          <Flex {...FlexItemStyles} h={'25px'}>
            <Box {...LabelStyles} w={llmSupportVision ? '9rem' : 'auto'}>
@@ -349,6 +448,25 @@ const AIChatSettingsModal = ({
            </Box>
          </Flex>
        )}
+        {showResponseAnswerText && (
+          <Flex {...FlexItemStyles} h={'25px'}>
+            <Box {...LabelStyles}>
+              <Flex alignItems={'center'}>
+                {t('app:stream_response')}
+                <QuestionTip ml={1} label={t('app:stream_response_tip')}></QuestionTip>
+              </Flex>
+              <Switch
+                isChecked={getValues(NodeInputKeyEnum.aiChatIsResponseText)}
+                size={'sm'}
+                onChange={(e) => {
+                  const value = e.target.checked;
+                  setValue(NodeInputKeyEnum.aiChatIsResponseText, value);
+                  setRefresh((state) => !state);
+                }}
+              />
+            </Box>
+          </Flex>
+        )}
      </ModalBody>
      <ModalFooter>
        <Button variant={'whiteBase'} onClick={onClose}>
--- a/projects/app/src/global/support/api/userRes.d.ts
+++ b/projects/app/src/global/support/api/userRes.d.ts
@@ -1,4 +1,4 @@
-import type { UserTypee } from '@fastgpt/global/support/user/type.d';
+import type { UserType } from '@fastgpt/global/support/user/type.d';
 import type { PromotionRecordSchema } from '@fastgpt/global/support/activity/type.d';
 export interface ResLogin {
  user: UserType;
--- a/projects/app/src/pageComponents/account/model/ModelConfigTable.tsx
+++ b/projects/app/src/pageComponents/account/model/ModelConfigTable.tsx
@@ -767,6 +767,51 @@ const ModelEditModal = ({
                        </Flex>
                      </Td>
                    </Tr>
+                    <Tr>
+                      <Td>
+                        <HStack spacing={1}>
+                          <Box>{t('account:model.show_top_p')}</Box>
+                        </HStack>
+                      </Td>
+                      <Td textAlign={'right'}>
+                        <Flex justifyContent={'flex-end'}>
+                          <Switch {...register('showTopP')} />
+                        </Flex>
+                      </Td>
+                    </Tr>
+                    <Tr>
+                      <Td>
+                        <HStack spacing={1}>
+                          <Box>{t('account:model.show_stop_sign')}</Box>
+                        </HStack>
+                      </Td>
+                      <Td textAlign={'right'}>
+                        <Flex justifyContent={'flex-end'}>
+                          <Switch {...register('showStopSign')} />
+                        </Flex>
+                      </Td>
+                    </Tr>
+                    <Tr>
+                      <Td>{t('account:model.response_format')}</Td>
+                      <Td textAlign={'right'}>
+                        <JsonEditor
+                          value={JSON.stringify(getValues('responseFormatList'), null, 2)}
+                          resize
+                          onChange={(e) => {
+                            if (!e) {
+                              setValue('responseFormatList', []);
+                              return;
+                            }
+                            try {
+                              setValue('responseFormatList', JSON.parse(e));
+                            } catch (error) {
+                              console.error(error);
+                            }
+                          }}
+                          {...InputStyles}
+                        />
+                      </Td>
+                    </Tr>
                  </>
                )}
                {isEmbeddingModel && (
--- a/projects/app/src/pageComponents/app/detail/SimpleApp/EditForm.tsx
+++ b/projects/app/src/pageComponents/app/detail/SimpleApp/EditForm.tsx
@@ -1,4 +1,4 @@
-import React, { useMemo, useTransition } from 'react';
+import React, { useEffect, useMemo, useTransition } from 'react';
 import {
  Box,
  Flex,
@@ -116,6 +116,25 @@ const EditForm = ({
  const tokenLimit = useMemo(() => {
    return selectedModel?.quoteMaxToken || 3000;
  }, [selectedModel?.quoteMaxToken]);
+  // Force close image select when model not support vision
+  useEffect(() => {
+    if (!selectedModel.vision) {
+      setAppForm((state) => ({
+        ...state,
+        chatConfig: {
+          ...state.chatConfig,
+          ...(state.chatConfig.fileSelectConfig
+            ? {
+                fileSelectConfig: {
+                  ...state.chatConfig.fileSelectConfig,
+                  canSelectImg: false
+                }
+              }
+            : {})
+        }
+      }));
+    }
+  }, [selectedModel]);

  return (
    <>
@@ -139,24 +158,18 @@ const EditForm = ({
                  temperature: appForm.aiSettings.temperature,
                  maxToken: appForm.aiSettings.maxToken,
                  maxHistories: appForm.aiSettings.maxHistories,
-                  aiChatReasoning: appForm.aiSettings.aiChatReasoning ?? true
+                  aiChatReasoning: appForm.aiSettings.aiChatReasoning ?? true,
+                  aiChatTopP: appForm.aiSettings.aiChatTopP,
+                  aiChatStopSign: appForm.aiSettings.aiChatStopSign,
+                  aiChatResponseFormat: appForm.aiSettings.aiChatResponseFormat,
+                  aiChatJsonSchema: appForm.aiSettings.aiChatJsonSchema
                }}
-                onChange={({
-                  model,
-                  temperature,
-                  maxToken,
-                  maxHistories,
-                  aiChatReasoning = false
-                }) => {
+                onChange={({ maxHistories = 6, aiChatReasoning = true, ...data }) => {
                  setAppForm((state) => ({
                    ...state,
                    aiSettings: {
                      ...state.aiSettings,
-                      model,
-                      temperature,
-                      maxToken,
-                      maxHistories: maxHistories ?? 6,
-                      aiChatReasoning
+                      ...data
                    }
                  }));
                }}
--- a/projects/app/src/pageComponents/app/detail/WorkflowComponents/Flow/nodes/render/RenderInput/templates/SettingLLMModel.tsx
+++ b/projects/app/src/pageComponents/app/detail/WorkflowComponents/Flow/nodes/render/RenderInput/templates/SettingLLMModel.tsx
@@ -40,7 +40,14 @@ const SelectAiModelRender = ({ item, inputs = [], nodeId }: RenderInputProps) =>
      aiChatVision:
        inputs.find((input) => input.key === NodeInputKeyEnum.aiChatVision)?.value ?? true,
      aiChatReasoning:
-        inputs.find((input) => input.key === NodeInputKeyEnum.aiChatReasoning)?.value ?? true
+        inputs.find((input) => input.key === NodeInputKeyEnum.aiChatReasoning)?.value ?? true,
+      aiChatTopP: inputs.find((input) => input.key === NodeInputKeyEnum.aiChatTopP)?.value,
+      aiChatStopSign: inputs.find((input) => input.key === NodeInputKeyEnum.aiChatStopSign)?.value,
+      aiChatResponseFormat: inputs.find(
+        (input) => input.key === NodeInputKeyEnum.aiChatResponseFormat
+      )?.value,
+      aiChatJsonSchema: inputs.find((input) => input.key === NodeInputKeyEnum.aiChatJsonSchema)
+        ?.value
    }),
    [inputs]
  );
--- a/projects/app/src/pages/_error.tsx
+++ b/projects/app/src/pages/_error.tsx
@@ -28,12 +28,12 @@ function Error() {
  return (
    <Box whiteSpace={'pre-wrap'}>
      {`出现未捕获的异常。
-1. 私有部署用户，90%由于配置文件不正确导致。
+1. 私有部署用户，90%由于配置文件不正确/模型未启用导致。
 2. 部分系统不兼容相关API。大部分是苹果的safari 浏览器导致，可以尝试更换 chrome。 
 3. 请关闭浏览器翻译功能，部分翻译导致页面崩溃。

 排除3后，打开控制台的 console 查看具体报错信息。
-如果提示 xxx undefined 的话，就是配置文件有错误。
+如果提示 xxx undefined 的话，就是配置文件有错误，或者是缺少可用模型，请确保系统内每个系列模型至少有一个可用。
 `}
    </Box>
  );
--- a/projects/app/src/pages/api/core/ai/model/test.ts
+++ b/projects/app/src/pages/api/core/ai/model/test.ts
@@ -16,6 +16,7 @@ import { reRankRecall } from '@fastgpt/service/core/ai/rerank';
 import { aiTranscriptions } from '@fastgpt/service/core/ai/audio/transcriptions';
 import { isProduction } from '@fastgpt/global/common/system/constants';
 import * as fs from 'fs';
+import { llmCompletionsBodyFormat } from '@fastgpt/service/core/ai/utils';

 export type testQuery = { model: string };

@@ -57,22 +58,23 @@ export default NextAPI(handler);

 const testLLMModel = async (model: LLMModelItemType) => {
  const ai = getAIApi({});
-  const response = await ai.chat.completions.create(
+  const requestBody = llmCompletionsBodyFormat(
    {
      model: model.model,
      messages: [{ role: 'user', content: 'hi' }],
      stream: false,
      max_tokens: 10
    },
-    {
-      ...(model.requestUrl ? { path: model.requestUrl } : {}),
-      headers: model.requestAuth
-        ? {
-            Authorization: `Bearer ${model.requestAuth}`
-          }
-        : undefined
-    }
+    model
  );
+  const response = await ai.chat.completions.create(requestBody, {
+    ...(model.requestUrl ? { path: model.requestUrl } : {}),
+    headers: model.requestAuth
+      ? {
+          Authorization: `Bearer ${model.requestAuth}`
+        }
+      : undefined
+  });

  const responseText = response.choices?.[0]?.message?.content;

--- a/projects/app/src/pages/api/core/dataset/searchTest.ts
+++ b/projects/app/src/pages/api/core/dataset/searchTest.ts
@@ -15,6 +15,7 @@ import { NextAPI } from '@/service/middleware/entry';
 import { ReadPermissionVal } from '@fastgpt/global/support/permission/constant';
 import { CommonErrEnum } from '@fastgpt/global/common/error/code/common';
 import { useIPFrequencyLimit } from '@fastgpt/service/common/middle/reqFrequencyLimit';
+import { agentSearchDatasetData } from '@fastgpt/service/core/dataset/search/agent';

 async function handler(req: NextApiRequest) {
  const {
@@ -59,6 +60,7 @@ async function handler(req: NextApiRequest) {
  });

  const { searchRes, tokens, ...result } = await searchDatasetData({
+    histories: [],
    teamId,
    reRankQuery: rewriteQuery,
    queries: concatQueries,
--- a/projects/app/src/pages/login/index.tsx
+++ b/projects/app/src/pages/login/index.tsx
@@ -29,6 +29,7 @@ import { GET } from '@/web/common/api/request';
 import { getDocPath } from '@/web/common/system/doc';
 import { getWebReqUrl } from '@fastgpt/web/common/system/utils';
 import LoginForm from '@/pageComponents/login/LoginForm/LoginForm';
+import { useToast } from '@fastgpt/web/hooks/useToast';

 const RegisterForm = dynamic(() => import('@/pageComponents/login/RegisterForm'));
 const ForgetPasswordForm = dynamic(() => import('@/pageComponents/login/ForgetPasswordForm'));
@@ -41,12 +42,13 @@ const Login = ({ ChineseRedirectUrl }: { ChineseRedirectUrl: string }) => {
  const router = useRouter();
  const { t } = useTranslation();
  const { lastRoute = '' } = router.query as { lastRoute: string };
-  const { feConfigs } = useSystemStore();
+  const { feConfigs, llmModelList } = useSystemStore();
  const [pageType, setPageType] = useState<`${LoginPageTypeEnum}`>(LoginPageTypeEnum.passwordLogin);
  const { setUserInfo } = useUserStore();
  const { setLastChatAppId } = useChatStore();
  const { isOpen, onOpen, onClose } = useDisclosure();
  const { isPc } = useSystem();
+  const { toast } = useToast();

  const {
    isOpen: isOpenCookiesDrawer,
@@ -61,6 +63,16 @@ const Login = ({ ChineseRedirectUrl }: { ChineseRedirectUrl: string }) => {
    (res: ResLogin) => {
      setUserInfo(res.user);

+      // Check that the model is available
+      if (res.user.username === 'root' && llmModelList?.length === 0) {
+        toast({
+          status: 'warning',
+          title: t('login:model_not_config')
+        });
+        router.push('/account/model');
+        return;
+      }
+
      const decodeLastRoute = decodeURIComponent(lastRoute);
      // 检查是否是当前的 route
      const navigateTo =
--- a/projects/app/src/web/core/app/utils.ts
+++ b/projects/app/src/web/core/app/utils.ts
@@ -106,14 +106,14 @@ export function form2AppWorkflow(
      version: AiChatModule.version,
      inputs: [
        {
-          key: 'model',
+          key: NodeInputKeyEnum.aiModel,
          renderTypeList: [FlowNodeInputTypeEnum.settingLLMModel, FlowNodeInputTypeEnum.reference],
          label: '',
          valueType: WorkflowIOValueTypeEnum.string,
          value: formData.aiSettings.model
        },
        {
-          key: 'temperature',
+          key: NodeInputKeyEnum.aiChatTemperature,
          renderTypeList: [FlowNodeInputTypeEnum.hidden],
          label: '',
          value: formData.aiSettings.temperature,
@@ -123,7 +123,7 @@ export function form2AppWorkflow(
          step: 1
        },
        {
-          key: 'maxToken',
+          key: NodeInputKeyEnum.aiChatMaxToken,
          renderTypeList: [FlowNodeInputTypeEnum.hidden],
          label: '',
          value: formData.aiSettings.maxToken,
@@ -133,7 +133,7 @@ export function form2AppWorkflow(
          step: 50
        },
        {
-          key: 'isResponseAnswerText',
+          key: NodeInputKeyEnum.aiChatIsResponseText,
          renderTypeList: [FlowNodeInputTypeEnum.hidden],
          label: '',
          value: true,
@@ -143,7 +143,7 @@ export function form2AppWorkflow(
        AiChatQuoteTemplate,
        AiChatQuotePrompt,
        {
-          key: 'systemPrompt',
+          key: NodeInputKeyEnum.aiSystemPrompt,
          renderTypeList: [FlowNodeInputTypeEnum.textarea, FlowNodeInputTypeEnum.reference],
          max: 3000,
          valueType: WorkflowIOValueTypeEnum.string,
@@ -153,7 +153,7 @@ export function form2AppWorkflow(
          value: formData.aiSettings.systemPrompt
        },
        {
-          key: 'history',
+          key: NodeInputKeyEnum.history,
          renderTypeList: [FlowNodeInputTypeEnum.numberInput, FlowNodeInputTypeEnum.reference],
          valueType: WorkflowIOValueTypeEnum.chatHistory,
          label: 'core.module.input.label.chat history',
@@ -163,16 +163,16 @@ export function form2AppWorkflow(
          value: formData.aiSettings.maxHistories
        },
        {
-          key: 'userChatInput',
+          key: NodeInputKeyEnum.userChatInput,
          renderTypeList: [FlowNodeInputTypeEnum.reference, FlowNodeInputTypeEnum.textarea],
          valueType: WorkflowIOValueTypeEnum.string,
          label: i18nT('common:core.module.input.label.user question'),
          required: true,
          toolDescription: i18nT('common:core.module.input.label.user question'),
-          value: [workflowStartNodeId, 'userChatInput']
+          value: [workflowStartNodeId, NodeInputKeyEnum.userChatInput]
        },
        {
-          key: 'quoteQA',
+          key: NodeInputKeyEnum.aiChatDatasetQuote,
          renderTypeList: [FlowNodeInputTypeEnum.settingDatasetQuotePrompt],
          label: '',
          debugLabel: i18nT('common:core.module.Dataset quote.label'),
@@ -197,6 +197,34 @@ export function form2AppWorkflow(
          label: '',
          valueType: WorkflowIOValueTypeEnum.boolean,
          value: formData.aiSettings.aiChatReasoning
+        },
+        {
+          key: NodeInputKeyEnum.aiChatTopP,
+          renderTypeList: [FlowNodeInputTypeEnum.hidden],
+          label: '',
+          valueType: WorkflowIOValueTypeEnum.number,
+          value: formData.aiSettings.aiChatTopP
+        },
+        {
+          key: NodeInputKeyEnum.aiChatStopSign,
+          renderTypeList: [FlowNodeInputTypeEnum.hidden],
+          label: '',
+          valueType: WorkflowIOValueTypeEnum.string,
+          value: formData.aiSettings.aiChatStopSign
+        },
+        {
+          key: NodeInputKeyEnum.aiChatResponseFormat,
+          renderTypeList: [FlowNodeInputTypeEnum.hidden],
+          label: '',
+          valueType: WorkflowIOValueTypeEnum.string,
+          value: formData.aiSettings.aiChatResponseFormat
+        },
+        {
+          key: NodeInputKeyEnum.aiChatJsonSchema,
+          renderTypeList: [FlowNodeInputTypeEnum.hidden],
+          label: '',
+          valueType: WorkflowIOValueTypeEnum.string,
+          value: formData.aiSettings.aiChatJsonSchema
        }
      ],
      outputs: AiChatModule.outputs