[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:
tristanliu
2024-10-09 17:22:19 +08:00
committed by GitHub
parent 9ffe67c962
commit 60b0a1a1a1
11 changed files with 238 additions and 301 deletions

View File

@@ -1,28 +1,14 @@
import {
Form,
Modal,
Input,
Button,
Switch,
Tabs,
Slider,
InputNumber,
Select,
Row,
message,
Space,
Tooltip,
} from 'antd';
import { Form, Input, Button, Switch, Tabs, Select, message, Space, Tooltip } from 'antd';
import MainTitleMark from '@/components/MainTitleMark';
import { AgentType } from './type';
import { useEffect, useState } from 'react';
import styles from './style.less';
import { DeleteOutlined, PlusOutlined } from '@ant-design/icons';
import { uuid, jsonParse, encryptPassword, decryptPassword } from '@/utils/utils';
import { uuid, jsonParse } from '@/utils/utils';
import ToolsSection from './ToolsSection';
import globalStyles from '@/global.less';
import { QuestionCircleOutlined } from '@ant-design/icons';
import { testLLMConn } from '../../services/system';
import { getLlmModelTypeList, getLlmList } from '../../services/system';
import MemorySection from './MemorySection';
const FormItem = Form.Item;
@@ -43,7 +29,8 @@ const AgentForm: React.FC<Props> = ({ editAgent, onSaveAgent, onCreateToolBtnCli
const [saveLoading, setSaveLoading] = useState(false);
const [examples, setExamples] = useState<{ id: string; question?: string }[]>([]);
const [activeKey, setActiveKey] = useState('basic');
const [llmTestLoading, setLlmTestLoading] = useState<boolean>(false);
const [modelTypeOptions, setModelTypeOptions] = useState<any[]>([]);
const [llmConfigListOptions, setLlmConfigListOptions] = useState<any[]>([]);
const [formData, setFormData] = useState<any>({
enableSearch: true,
modelConfig: {
@@ -51,10 +38,6 @@ const AgentForm: React.FC<Props> = ({ editAgent, onSaveAgent, onCreateToolBtnCli
provider: 'OPEN_AI',
temperature: 0,
},
// embeddingStore: {
// provider: 'MILVUS',
// timeOut: 60,
// },
agentConfig: {
...defaultAgentConfig,
},
@@ -68,7 +51,7 @@ const AgentForm: React.FC<Props> = ({ editAgent, onSaveAgent, onCreateToolBtnCli
delete sourceData.modelConfig;
}
const config = jsonParse(editAgent.agentConfig, {});
const config = jsonParse(editAgent.toolConfig, {});
const initData = {
...sourceData,
enableSearch: editAgent.enableSearch !== 0,
@@ -82,26 +65,57 @@ const AgentForm: React.FC<Props> = ({ editAgent, onSaveAgent, onCreateToolBtnCli
} else {
form.resetFields();
}
queryModelTypeList();
queryLlmList();
}, [editAgent]);
const queryLlmList = async () => {
const { code, data } = await getLlmList();
if (code === 200 && data) {
const options = data.map((item) => {
return {
label: item.name,
value: item.id,
};
});
setLlmConfigListOptions(options);
} else {
message.error('获取模型场景类型失败');
}
};
const queryModelTypeList = async () => {
const { code, data } = await getLlmModelTypeList();
if (code === 200 && data) {
const options = data.map((item) => {
return {
label: item.name,
value: item.type,
description: item.description,
};
});
setModelTypeOptions(options);
} else {
message.error('获取模型场景类型失败');
}
};
const layout = {
labelCol: { span: 4 },
wrapperCol: { span: 16 },
// layout: 'vertical',
};
const onOk = async () => {
const values = await form.validateFields();
setSaveLoading(true);
const config = jsonParse(editAgent?.agentConfig, {});
const config = jsonParse(editAgent?.toolConfig, {});
await onSaveAgent?.({
id: editAgent?.id,
...(editAgent || {}),
...values,
agentConfig: JSON.stringify({
...config,
...values.agentConfig,
debugMode: values.agentConfig?.simpleMode === true ? false : values.agentConfig?.debugMode,
...values.toolConfig,
debugMode: values.toolConfig?.simpleMode === true ? false : values.toolConfig?.debugMode,
}) as any,
examples: examples.map((example) => example.question),
enableSearch: values.enableSearch ? 1 : 0,
@@ -110,16 +124,6 @@ const AgentForm: React.FC<Props> = ({ editAgent, onSaveAgent, onCreateToolBtnCli
setSaveLoading(false);
};
const testLLMConnect = async (params: any) => {
setLlmTestLoading(true);
const { code, data } = await testLLMConn(params);
setLlmTestLoading(false);
if (code === 200 && data) {
message.success('连接成功');
} else {
message.error('模型连接失败');
}
};
const tips = [
'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:',
'-{{exemplar}} :替换成few-shot示例示例个数由系统配置',
@@ -140,25 +144,6 @@ const AgentForm: React.FC<Props> = ({ editAgent, onSaveAgent, onCreateToolBtnCli
>
<Input placeholder="请输入助理名称" />
</FormItem>
{/* <FormItem name={['visualConfig', 'defaultShowType']} label="问答默认格式">
<Select
placeholder=""
options={[
{
label: '文本',
value: 'TEXT',
},
{
label: '表格',
value: 'TABLE',
},
{
label: '图表',
value: 'WIDGET',
},
]}
/>
</FormItem> */}
<FormItem name="enableSearch" label="开启输入联想" valuePropName="checked">
<Switch />
</FormItem>
@@ -184,7 +169,7 @@ const AgentForm: React.FC<Props> = ({ editAgent, onSaveAgent, onCreateToolBtnCli
<FormItem
name={['agentConfig', 'debugMode']}
label="开启调试信息"
hidden={formData?.agentConfig?.simpleMode === true}
hidden={formData?.toolConfig?.simpleMode === true}
tooltip="包含Schema映射、SQL生成每阶段的关键信息"
valuePropName="checked"
>
@@ -238,168 +223,19 @@ const AgentForm: React.FC<Props> = ({ editAgent, onSaveAgent, onCreateToolBtnCli
<div className={styles.agentFormContainer}>
<div className={styles.agentFormTitle}>
<Space>
<MainTitleMark />
<MainTitleMark />
</Space>
</div>
<FormItem name={['modelConfig', 'provider']} label="接口协议">
<Select placeholder="">
{['OPEN_AI', 'OLLAMA'].map((item) => (
<Select.Option key={item} value={item}>
{item}
</Select.Option>
))}
</Select>
</FormItem>
<FormItem name={['modelConfig', 'modelName']} label="Model Name">
<Input placeholder="请输入语言模型名称" />
</FormItem>
<FormItem name={['modelConfig', 'baseUrl']} label="Base URL">
<Input placeholder="请输入Base URL" />
</FormItem>
<FormItem
name={['modelConfig', 'apiKey']}
label="API Key"
hidden={formData?.modelConfig?.provider === 'OLLAMA'}
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={['modelConfig', 'temperature']} label="Temperature">
<Slider
min={0}
max={1}
step={0.1}
marks={{
0: '精准',
1: '随机',
}}
/>
</FormItem>
<FormItem name={['modelConfig', 'timeOut']} label="超时时间(秒)">
<InputNumber />
</FormItem>
{/* <div className={styles.agentFormTitle}>
<Space>
向量模型 <MainTitleMark />
</Space>
</div>
<FormItem name={['modelConfig', 'embeddingModel', 'provider']} label="接口协议">
<Select placeholder="">
{[
'OPEN_AI',
'OLLAMA',
'LOCAL_AI',
'IN_MEMORY',
'ZHIPU',
'AZURE',
'QIANFAN',
'DASHSCOPE',
].map((item) => (
<Select.Option key={item} value={item}>
{item}
</Select.Option>
))}
</Select>
</FormItem>
<FormItem name={['modelConfig', 'embeddingModel', 'modelName']} label="Model Name">
<Input placeholder="请输入向量模型名称" />
</FormItem>
{formData?.modelConfig?.embeddingModel?.provider === 'IN_MEMORY' ? (
<>
<FormItem name={['modelConfig', 'embeddingModel', 'modelPath']} label="模型路径">
<Input placeholder="请输入模型路径" />
{modelTypeOptions.map((item) => {
return (
<FormItem name={['chatModelConfig', item.value]} label={item.label}>
<Select placeholder="" options={llmConfigListOptions} />
</FormItem>
<FormItem
name={['modelConfig', 'embeddingModel', 'vocabularyPath']}
label="词汇表路径"
>
<Input placeholder="请输入模型路径" />
</FormItem>
</>
) : (
<>
<FormItem name={['modelConfig', 'embeddingModel', 'baseUrl']} label="Base URL">
<Input placeholder="请输入Base URL" />
</FormItem>
<FormItem
name={['modelConfig', 'embeddingModel', '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>
</>
)} */}
);
})}
</div>
),
},
// {
// label: '向量库配置',
// key: 'embeddingStore',
// children: (
// <div className={styles.agentFormContainer}>
// <FormItem name={['embeddingStore', 'provider']} label="接口协议">
// <Select placeholder="">
// {['MILVUS', 'CHROMA', 'IN_MEMORY'].map((item) => (
// <Select.Option key={item} value={item}>
// {item}
// </Select.Option>
// ))}
// </Select>
// </FormItem>
// {formData?.embeddingStore?.provider === 'IN_MEMORY' ? (
// <>
// <FormItem name={['embeddingStore', 'persistPath']} label="持久化路径">
// <Input placeholder="请输入持久化路径" />
// </FormItem>
// </>
// ) : (
// <>
// <FormItem name={['embeddingStore', 'baseUrl']} label="Base URL">
// <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 />
</Button>
)}
{activeKey === 'modelConfig' && (
<Button
type="primary"
loading={llmTestLoading}
onClick={() => {
testLLMConnect(formData.modelConfig);
}}
>
</Button>
)}
</Space>
}
defaultActiveKey="basic"