mirror of
https://github.com/tencentmusic/supersonic.git
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[improvement][headless-fe] Introduced a new configuration option in the assistant module specifically for large model applications. (#1756)
* [improvement][semantic-fe] Upgrading antd version to 5.x, extracting the batch operation button component, optimizing the interaction for system settings, and expanding the configuration generation types for list-to-select component. * [improvement][semantic-fe] Adding the ability to filter dimensions based on whether they are tags or not. * [improvement][semantic-fe] Adding the ability to edit relationships between models in the canvas. * [improvement][semantic-fe] Updating the datePicker component to use dayjs instead. * [improvement][semantic-fe] Fixing the issue with passing the model ID for dimensions in the indicator market. * [improvement][semantic-fe] Fixing the abnormal state of the popup when creating a model. * [improvement][semantic-fe] Adding permission logic for bulk operations in the indicator market. * [improvement][semantic-fe] Adding the ability to download and transpose data. * [improvement][semantic-fe] Fixing the initialization issue with the date selection component in the indicator details page when switching time granularity. * [improvement][semantic-fe] Fixing the logic error in the dimension value setting. * [improvement][semantic-fe] Fixing the synchronization issue with the question and answer settings information. * [improvement][semantic-fe] Optimizing the canvas functionality for better performance and user experience. * [improvement][semantic-fe] Optimizing the update process for drawing model relationship edges in the canvas. * [improvement][semantic-fe] Changing the line type for canvas connections. * [improvement][semantic-fe] Replacing the initialization variable from "semantic" to "headless". * [improvement][semantic-fe] Fixing the missing migration issue for default drill-down dimension configuration in model editing. Additionally, optimizing the data retrieval method for initializing fields in the model. * [improvement][semantic-fe] Updating the logic for the fieldName. * [improvement][semantic-fe] Adjusting the position of the metrics tab. * [improvement][semantic-fe] Changing the 字段名称 to 英文名称. * [improvement][semantic-fe] Fix metric measurement deletion. * [improvement][semantic-fe] UI optimization for metric details page. * [improvement][semantic-fe] UI optimization for metric details page. * [improvement][semantic-fe] UI adjustment for metric details page. * [improvement][semantic-fe] The granularity field in the time type of model editing now supports setting it as empty. * [improvement][semantic-fe] Added field type and metric type to the metric creation options. * [improvement][semantic-fe] The organization structure selection feature has been added to the permission management. * [improvement][semantic-fe] Improved user experience for the metric list. * [improvement][semantic-fe] fix update the metric list. * [improvement][headless-fe] Added view management functionality. * [improvement][headless-fe] The view management functionality has been added. This feature allows users to create, edit, and manage different views within the system. * [improvement][headless-fe] Added model editing side effect detection. * [improvement][headless-fe] Fixed the logic error in view editing. * [improvement][headless-fe] Fixed the issue with initializing dimension associations in metric settings. * [improvement][headless-fe] Added the ability to hide the Q&A settings entry point. * [improvement][headless-fe] Fixed the issue with selecting search results in metric field creation. * [improvement][headless-fe] Added search functionality to the field list in model editing. * [improvement][headless-fe] fix the field list in model editing * [improvement][headless-fe] Restructured the data for the dimension value settings interface. * [improvement][headless-fe] Added dynamic variable functionality to model creation based on SQL scripts. * [improvement][headless-fe] Added support for passing dynamic variables as parameters in the executeSql function. * [improvement][headless-fe] Resolved the issue where users were unable to select all options for dimensions, metrics, and fields in the metric generation process. * [improvement][headless-fe] Replaced the term "view" with "dataset" * [improvement][headless-fe] Added the ability to export metrics and dimensions to a specific target. * [improvement][headless-fe] Enhanced dataset creation to support the tag mode. * [improvement][headless-fe] Added tag value setting. * [improvement][headless-fe] Optimized the tag setting system. * [improvement][headless-fe] Optimized the tag setting system. * [improvement][headless-fe] Updated the data initialization for model editing to use API requests instead. * [improvement][headless-fe] Added search functionality to model management. * [improvement][headless-fe] Removed field null validation during model editing. * [improvement][headless-fe] Updated the batch operation button component. * [improvement][headless-fe] Optimized the logic for initializing indicators in dimension value settings. * [improvement][headless-fe] Adjusted the length of the input field for model editing names. * [improvement][headless-fe] Lock the version of the @ant-design/pro-table component and replace it with @ant-design/pro-components. * [improvement][headless-fe] Optimized the style of the metrics market and tags market. * [improvement][headless-fe] The quick creation of model fields now defaults to using the "comment" field for filling. * [improvement][headless-fe] The quick creation of model fields now defaults to using the "comment" field for filling * [improvement][headless-fe] The quick creation of model fields now defaults to using the "comment" field for filling. * [improvement][headless-fe] Fixed the issue where the conditions for metric measurement creation were not being saved correctly. * [improvement][headless-fe] Default value setting for hiding dimensions. * [improvement][headless-fe] Updated the file imports in the project. * [improvement][headless-fe] Adjusted the logic for displaying the tab in the theme domain. * [improvement][headless-fe] Added term management functionality. * [improvement][headless-fe] When creating a model, the current metric operator now allows for clearance. * [improvement][headless-fe] Term management interface transformation * [improvement][headless-fe] Migrating scaffold version to @umi/max * [improvement][headless-fe] remove modle column * [improvement][headless-fe] 1.Added configuration for the large language model in the agent; 2.upgraded React version from 17 to 18; 3.modified some UI effects. * [improvement][headless-fe] Added a simplified mode to the question-answering system. * [improvement][headless-fe] remove pnpm-lock * [improvement][headless-fe] add pnpm-lock * [improvement][headless-fe] Fixed the issue with passing the modelId during initialization. * [improvement][headless-fe] Fixed the issue with abnormal comments during model creation. * [improvement][headless-fe] fix build bugs * [improvement][headless-fe] change build config * [improvement][headless-fe] route config change * [improvement][headless-fe] Optimized data updating when switching domains. * [improvement][headless-fe] css change * [improvement][semantic-fe] logo css change * [improvement][semantic-fe] system config add defaultValue support * [improvement][semantic-fe] tag mode wording change * [improvement][semantic-fe] fix metric edit page init error * [improvement][supersonic-fe] Updated the way chat projects are imported in supersonic-fe. * [improvement][chat-engine] Added a background silent mode for watching chat projects. * [improvement][supersonic-fe] fix proxy url * [improvement][headless-fe] agent setting update * [improvement][headless-fe] Agent configuration: Added connectivity testing for large models. * [improvement][headless-fe] Chat: Enabled integration with agent configuration. * [improvement][headless-fe] SQL formatter: Updated the import method. * [improvement][headless-fe] login fixed * [improvement][headless-fe] Agent: Optimized the logic for saving. * [improvement][headless-fe] Model management: Integrated into the main theme domain. * [improvement][headless-fe] Sensitivity: Added bulk modification functionality. * [improvement][headless-fe] wording change * [improvement][headless-fe] Prompt configuration: Added the ability to configure prompts. * [improvement][headless-fe] Added the ability to configure embedding models. * [improvement][headless-fe] hidden configure embedding models. * [improvement][headless-fe] Connection test prompt update for large language model settings. * [improvement][headless-fe] add memory review config * [improvement][headless-fe] Rollback of data structure for large language model configuration. * [improvement][headless-fe] Added dependency relationships between various items in system configuration. * [improvement][headless-fe] Added password parsing to the generation rules of system settings. * [improvement][headless-fe] Added slider parsing to the generation rules of system settings. * [improvement][headless-fe] Optimized the logic for initializing values in system settings. * [improvement][headless-fe] Optimized the time format * [improvement][headless-fe] Unified the SQL generation method for data sets to ensure consistency and improve efficiency. * [improvement][headless-fe] Added support for data sets with non-partitioned time fields * [improvement][headless-fe] Added support for editing time formats in dimension settings * [improvement][headless-fe] Rolled back the time parameter in the metric details page to its previous state * [improvement][headless-fe] Fixed the issue with hidden field validation when editing dimensions * [improvement][headless-fe] Added a connectivity test for large models in the system settings * [improvement][headless-fe] Changed the METRIC type in ChatContextType queryType to AGGREGATE * [improvement][headless-fe] Added query and batch delete operations to the terminology management feature * [improvement][headless-fe] Enhanced the memory management feature by adding sorting functionality and other optimization features. * [improvement][headless-fe] Resolved the compatibility issue with the backend service where the updatedAt and other time fields were not being properly converted to the updated_at format for sorting purposes. * [improvement][headless-fe] Added a configuration interface for large language models * [improvement][headless-fe] Introduced a new configuration option in the assistant module specifically for large model applications. --------- Co-authored-by: tristanliu <tristanliu@tencent.com>
This commit is contained in:
@@ -1,28 +1,14 @@
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import {
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Form,
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Modal,
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Input,
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Button,
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Switch,
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Tabs,
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Slider,
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InputNumber,
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Select,
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Row,
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message,
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Space,
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Tooltip,
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} from 'antd';
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import { Form, Input, Button, Switch, Tabs, Select, message, Space, Tooltip } from 'antd';
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import MainTitleMark from '@/components/MainTitleMark';
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import { AgentType } from './type';
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import { useEffect, useState } from 'react';
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import styles from './style.less';
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import { DeleteOutlined, PlusOutlined } from '@ant-design/icons';
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import { uuid, jsonParse, encryptPassword, decryptPassword } from '@/utils/utils';
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import { uuid, jsonParse } from '@/utils/utils';
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import ToolsSection from './ToolsSection';
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import globalStyles from '@/global.less';
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import { QuestionCircleOutlined } from '@ant-design/icons';
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import { testLLMConn } from '../../services/system';
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import { getLlmModelTypeList, getLlmList } from '../../services/system';
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import MemorySection from './MemorySection';
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const FormItem = Form.Item;
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@@ -43,7 +29,8 @@ const AgentForm: React.FC<Props> = ({ editAgent, onSaveAgent, onCreateToolBtnCli
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const [saveLoading, setSaveLoading] = useState(false);
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const [examples, setExamples] = useState<{ id: string; question?: string }[]>([]);
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const [activeKey, setActiveKey] = useState('basic');
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const [llmTestLoading, setLlmTestLoading] = useState<boolean>(false);
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const [modelTypeOptions, setModelTypeOptions] = useState<any[]>([]);
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const [llmConfigListOptions, setLlmConfigListOptions] = useState<any[]>([]);
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const [formData, setFormData] = useState<any>({
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enableSearch: true,
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modelConfig: {
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@@ -51,10 +38,6 @@ const AgentForm: React.FC<Props> = ({ editAgent, onSaveAgent, onCreateToolBtnCli
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provider: 'OPEN_AI',
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temperature: 0,
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},
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// embeddingStore: {
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// provider: 'MILVUS',
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// timeOut: 60,
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// },
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agentConfig: {
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...defaultAgentConfig,
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},
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@@ -68,7 +51,7 @@ const AgentForm: React.FC<Props> = ({ editAgent, onSaveAgent, onCreateToolBtnCli
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delete sourceData.modelConfig;
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}
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const config = jsonParse(editAgent.agentConfig, {});
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const config = jsonParse(editAgent.toolConfig, {});
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const initData = {
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...sourceData,
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enableSearch: editAgent.enableSearch !== 0,
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@@ -82,26 +65,57 @@ const AgentForm: React.FC<Props> = ({ editAgent, onSaveAgent, onCreateToolBtnCli
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} else {
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form.resetFields();
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}
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queryModelTypeList();
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queryLlmList();
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}, [editAgent]);
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const queryLlmList = async () => {
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const { code, data } = await getLlmList();
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if (code === 200 && data) {
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const options = data.map((item) => {
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return {
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label: item.name,
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value: item.id,
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};
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});
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setLlmConfigListOptions(options);
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} else {
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message.error('获取模型场景类型失败');
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}
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};
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const queryModelTypeList = async () => {
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const { code, data } = await getLlmModelTypeList();
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if (code === 200 && data) {
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const options = data.map((item) => {
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return {
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label: item.name,
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value: item.type,
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description: item.description,
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};
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});
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setModelTypeOptions(options);
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} else {
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message.error('获取模型场景类型失败');
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}
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};
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const layout = {
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labelCol: { span: 4 },
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wrapperCol: { span: 16 },
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// layout: 'vertical',
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};
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const onOk = async () => {
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const values = await form.validateFields();
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setSaveLoading(true);
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const config = jsonParse(editAgent?.agentConfig, {});
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const config = jsonParse(editAgent?.toolConfig, {});
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await onSaveAgent?.({
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id: editAgent?.id,
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...(editAgent || {}),
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...values,
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agentConfig: JSON.stringify({
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...config,
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...values.agentConfig,
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debugMode: values.agentConfig?.simpleMode === true ? false : values.agentConfig?.debugMode,
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...values.toolConfig,
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debugMode: values.toolConfig?.simpleMode === true ? false : values.toolConfig?.debugMode,
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}) as any,
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examples: examples.map((example) => example.question),
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enableSearch: values.enableSearch ? 1 : 0,
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@@ -110,16 +124,6 @@ const AgentForm: React.FC<Props> = ({ editAgent, onSaveAgent, onCreateToolBtnCli
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setSaveLoading(false);
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};
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const testLLMConnect = async (params: any) => {
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setLlmTestLoading(true);
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const { code, data } = await testLLMConn(params);
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setLlmTestLoading(false);
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if (code === 200 && data) {
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message.success('连接成功');
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} else {
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message.error('模型连接失败');
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}
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};
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const tips = [
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'自定义提示词模板可嵌入以下变量,将由系统自动进行替换:',
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'-{{exemplar}} :替换成few-shot示例,示例个数由系统配置',
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@@ -140,25 +144,6 @@ const AgentForm: React.FC<Props> = ({ editAgent, onSaveAgent, onCreateToolBtnCli
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>
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<Input placeholder="请输入助理名称" />
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</FormItem>
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{/* <FormItem name={['visualConfig', 'defaultShowType']} label="问答默认格式">
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<Select
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placeholder=""
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options={[
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{
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label: '文本',
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value: 'TEXT',
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},
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{
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label: '表格',
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value: 'TABLE',
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},
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{
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label: '图表',
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value: 'WIDGET',
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},
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]}
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/>
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</FormItem> */}
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<FormItem name="enableSearch" label="开启输入联想" valuePropName="checked">
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<Switch />
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</FormItem>
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@@ -184,7 +169,7 @@ const AgentForm: React.FC<Props> = ({ editAgent, onSaveAgent, onCreateToolBtnCli
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<FormItem
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name={['agentConfig', 'debugMode']}
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label="开启调试信息"
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hidden={formData?.agentConfig?.simpleMode === true}
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hidden={formData?.toolConfig?.simpleMode === true}
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tooltip="包含Schema映射、SQL生成每阶段的关键信息"
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valuePropName="checked"
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>
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@@ -238,168 +223,19 @@ const AgentForm: React.FC<Props> = ({ editAgent, onSaveAgent, onCreateToolBtnCli
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<div className={styles.agentFormContainer}>
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<div className={styles.agentFormTitle}>
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<Space>
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对话模型 <MainTitleMark />
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应用场景 <MainTitleMark />
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</Space>
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</div>
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<FormItem name={['modelConfig', 'provider']} label="接口协议">
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<Select placeholder="">
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{['OPEN_AI', 'OLLAMA'].map((item) => (
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<Select.Option key={item} value={item}>
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{item}
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</Select.Option>
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))}
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</Select>
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</FormItem>
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<FormItem name={['modelConfig', 'modelName']} label="Model Name">
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<Input placeholder="请输入语言模型名称" />
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</FormItem>
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<FormItem name={['modelConfig', 'baseUrl']} label="Base URL">
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<Input placeholder="请输入Base URL" />
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</FormItem>
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<FormItem
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name={['modelConfig', 'apiKey']}
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label="API Key"
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hidden={formData?.modelConfig?.provider === 'OLLAMA'}
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getValueFromEvent={(event) => {
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const value = event.target.value;
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return encryptPassword(value);
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}}
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getValueProps={(value) => {
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return {
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value: value ? decryptPassword(value) : '',
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};
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}}
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>
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<Input.Password placeholder="请输入API Key" visibilityToggle />
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</FormItem>
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<FormItem name={['modelConfig', 'temperature']} label="Temperature">
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<Slider
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min={0}
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max={1}
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step={0.1}
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marks={{
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0: '精准',
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1: '随机',
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}}
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/>
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</FormItem>
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<FormItem name={['modelConfig', 'timeOut']} label="超时时间(秒)">
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<InputNumber />
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</FormItem>
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{/* <div className={styles.agentFormTitle}>
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<Space>
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向量模型 <MainTitleMark />
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</Space>
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</div>
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<FormItem name={['modelConfig', 'embeddingModel', 'provider']} label="接口协议">
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<Select placeholder="">
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{[
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'OPEN_AI',
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'OLLAMA',
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'LOCAL_AI',
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'IN_MEMORY',
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'ZHIPU',
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'AZURE',
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'QIANFAN',
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'DASHSCOPE',
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].map((item) => (
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<Select.Option key={item} value={item}>
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{item}
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</Select.Option>
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))}
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</Select>
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</FormItem>
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<FormItem name={['modelConfig', 'embeddingModel', 'modelName']} label="Model Name">
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<Input placeholder="请输入向量模型名称" />
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</FormItem>
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{formData?.modelConfig?.embeddingModel?.provider === 'IN_MEMORY' ? (
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<>
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<FormItem name={['modelConfig', 'embeddingModel', 'modelPath']} label="模型路径">
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<Input placeholder="请输入模型路径" />
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{modelTypeOptions.map((item) => {
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return (
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<FormItem name={['chatModelConfig', item.value]} label={item.label}>
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<Select placeholder="" options={llmConfigListOptions} />
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</FormItem>
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<FormItem
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name={['modelConfig', 'embeddingModel', 'vocabularyPath']}
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label="词汇表路径"
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>
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<Input placeholder="请输入模型路径" />
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</FormItem>
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</>
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) : (
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<>
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<FormItem name={['modelConfig', 'embeddingModel', 'baseUrl']} label="Base URL">
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<Input placeholder="请输入Base URL" />
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</FormItem>
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<FormItem
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name={['modelConfig', 'embeddingModel', 'apiKey']}
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label="API Key"
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getValueFromEvent={(event) => {
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const value = event.target.value;
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return encryptPassword(value);
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}}
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getValueProps={(value) => {
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return {
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value: value ? decryptPassword(value) : '',
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};
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}}
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>
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<Input.Password placeholder="请输入API Key" visibilityToggle />
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</FormItem>
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</>
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)} */}
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);
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})}
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</div>
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),
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},
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// {
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// label: '向量库配置',
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// key: 'embeddingStore',
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// children: (
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// <div className={styles.agentFormContainer}>
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// <FormItem name={['embeddingStore', 'provider']} label="接口协议">
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// <Select placeholder="">
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// {['MILVUS', 'CHROMA', 'IN_MEMORY'].map((item) => (
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// <Select.Option key={item} value={item}>
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// {item}
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// </Select.Option>
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// ))}
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// </Select>
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// </FormItem>
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// {formData?.embeddingStore?.provider === 'IN_MEMORY' ? (
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// <>
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// <FormItem name={['embeddingStore', 'persistPath']} label="持久化路径">
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// <Input placeholder="请输入持久化路径" />
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// </FormItem>
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// </>
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// ) : (
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// <>
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// <FormItem name={['embeddingStore', 'baseUrl']} label="Base URL">
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// <Input placeholder="请输入Base URL" />
|
||||
// </FormItem>
|
||||
// <FormItem
|
||||
// name={['embeddingStore', 'apiKey']}
|
||||
// label="API Key"
|
||||
// getValueFromEvent={(event) => {
|
||||
// const value = event.target.value;
|
||||
// return encryptPassword(value);
|
||||
// }}
|
||||
// getValueProps={(value) => {
|
||||
// return {
|
||||
// value: value ? decryptPassword(value) : '',
|
||||
// };
|
||||
// }}
|
||||
// >
|
||||
// <Input.Password placeholder="请输入API Key" visibilityToggle />
|
||||
// </FormItem>
|
||||
// <FormItem name={['embeddingStore', 'timeOut']} label="超时时间(秒)">
|
||||
// <InputNumber />
|
||||
// </FormItem>
|
||||
// </>
|
||||
// )}
|
||||
// </div>
|
||||
// ),
|
||||
// },
|
||||
{
|
||||
label: '提示词配置',
|
||||
key: 'promptConfig',
|
||||
@@ -433,7 +269,7 @@ const AgentForm: React.FC<Props> = ({ editAgent, onSaveAgent, onCreateToolBtnCli
|
||||
),
|
||||
},
|
||||
{
|
||||
label: '工具管理',
|
||||
label: '工具配置',
|
||||
key: 'tools',
|
||||
children: <ToolsSection currentAgent={editAgent} onSaveAgent={onSaveAgent} />,
|
||||
},
|
||||
@@ -478,17 +314,6 @@ const AgentForm: React.FC<Props> = ({ editAgent, onSaveAgent, onCreateToolBtnCli
|
||||
<PlusOutlined /> 新增工具
|
||||
</Button>
|
||||
)}
|
||||
{activeKey === 'modelConfig' && (
|
||||
<Button
|
||||
type="primary"
|
||||
loading={llmTestLoading}
|
||||
onClick={() => {
|
||||
testLLMConnect(formData.modelConfig);
|
||||
}}
|
||||
>
|
||||
大模型连接测试
|
||||
</Button>
|
||||
)}
|
||||
</Space>
|
||||
}
|
||||
defaultActiveKey="basic"
|
||||
|
||||
Reference in New Issue
Block a user