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* Dashboard submenu (#4545) * add app submenu (#4452) * add app submenu * fix * width & i18n * optimize submenu code (#4515) * optimize submenu code * fix * fix * fix * fix ts * perf: dashboard sub menu * doc --------- Co-authored-by: heheer <heheer@sealos.io> * feat: value format test * doc * Mcp export (#4555) * feat: mcp server * feat: mcp server * feat: mcp server build * update doc * perf: path selector (#4556) * perf: path selector * fix: docker file path * perf: add image endpoint to dataset search (#4557) * perf: add image endpoint to dataset search * fix: mcp_server url * human in loop (#4558) * Support interactive nodes for loops, and enhance the function of merging nested and loop node history messages. (#4552) * feat: add LoopInteractive definition * feat: Support LoopInteractive type and update related logic * fix: Refactor loop handling logic and improve output value initialization * feat: Add mergeSignId to dispatchLoop and dispatchRunAppNode responses * feat: Enhance mergeChatResponseData to recursively merge plugin details and improve response handling * refactor: Remove redundant comments in mergeChatResponseData for clarity * perf: loop interactive * perf: human in loop --------- Co-authored-by: Theresa <63280168+sd0ric4@users.noreply.github.com> * mcp server ui * integrate mcp (#4549) * integrate mcp * delete unused code * fix ts * bug fix * fix * support whole mcp tools * add try catch * fix * fix * fix ts * fix test * fix ts * fix: interactive in v1 completions * doc * fix: router path * fix mcp integrate (#4563) * fix mcp integrate * fix ui * fix: mcp ux * feat: mcp call title * remove repeat loading * fix mcp tools avatar (#4564) * fix * fix avatar * fix update version * update doc * fix: value format * close server and remove cache * perf: avatar --------- Co-authored-by: heheer <heheer@sealos.io> Co-authored-by: Theresa <63280168+sd0ric4@users.noreply.github.com>
206 lines
6.6 KiB
TypeScript
206 lines
6.6 KiB
TypeScript
import type { AppChatConfigType, AppSimpleEditFormType } from '../app/type';
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import { FlowNodeTypeEnum } from '../workflow/node/constant';
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import { NodeInputKeyEnum, FlowNodeTemplateTypeEnum } from '../workflow/constants';
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import type { FlowNodeInputItemType } from '../workflow/type/io.d';
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import { getAppChatConfig } from '../workflow/utils';
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import { StoreNodeItemType } from '../workflow/type/node';
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import { DatasetSearchModeEnum } from '../dataset/constants';
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import { WorkflowTemplateBasicType } from '../workflow/type';
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import { AppTypeEnum } from './constants';
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import { AppErrEnum } from '../../common/error/code/app';
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import { PluginErrEnum } from '../../common/error/code/plugin';
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export const getDefaultAppForm = (): AppSimpleEditFormType => {
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return {
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aiSettings: {
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model: 'gpt-4o-mini',
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systemPrompt: '',
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temperature: 0,
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isResponseAnswerText: true,
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maxHistories: 6,
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maxToken: 4000,
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aiChatReasoning: true
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},
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dataset: {
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datasets: [],
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similarity: 0.4,
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limit: 3000,
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searchMode: DatasetSearchModeEnum.embedding,
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usingReRank: false,
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rerankModel: '',
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rerankWeight: 0.5,
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datasetSearchUsingExtensionQuery: true,
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datasetSearchExtensionBg: ''
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},
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selectedTools: [],
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chatConfig: {}
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};
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};
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/* format app nodes to edit form */
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export const appWorkflow2Form = ({
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nodes,
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chatConfig
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}: {
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nodes: StoreNodeItemType[];
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chatConfig: AppChatConfigType;
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}) => {
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const defaultAppForm = getDefaultAppForm();
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const findInputValueByKey = (inputs: FlowNodeInputItemType[], key: string) => {
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return inputs.find((item) => item.key === key)?.value;
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};
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nodes.forEach((node) => {
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if (
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node.flowNodeType === FlowNodeTypeEnum.chatNode ||
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node.flowNodeType === FlowNodeTypeEnum.tools
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) {
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defaultAppForm.aiSettings.model = findInputValueByKey(node.inputs, NodeInputKeyEnum.aiModel);
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defaultAppForm.aiSettings.systemPrompt = findInputValueByKey(
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node.inputs,
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NodeInputKeyEnum.aiSystemPrompt
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);
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defaultAppForm.aiSettings.temperature = findInputValueByKey(
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node.inputs,
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NodeInputKeyEnum.aiChatTemperature
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);
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defaultAppForm.aiSettings.maxToken = findInputValueByKey(
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node.inputs,
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NodeInputKeyEnum.aiChatMaxToken
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);
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defaultAppForm.aiSettings.maxHistories = findInputValueByKey(
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node.inputs,
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NodeInputKeyEnum.history
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);
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defaultAppForm.aiSettings.aiChatReasoning = findInputValueByKey(
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node.inputs,
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NodeInputKeyEnum.aiChatReasoning
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);
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defaultAppForm.aiSettings.aiChatTopP = findInputValueByKey(
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node.inputs,
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NodeInputKeyEnum.aiChatTopP
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);
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defaultAppForm.aiSettings.aiChatStopSign = findInputValueByKey(
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node.inputs,
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NodeInputKeyEnum.aiChatStopSign
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);
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defaultAppForm.aiSettings.aiChatResponseFormat = findInputValueByKey(
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node.inputs,
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NodeInputKeyEnum.aiChatResponseFormat
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);
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defaultAppForm.aiSettings.aiChatJsonSchema = findInputValueByKey(
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node.inputs,
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NodeInputKeyEnum.aiChatJsonSchema
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);
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} else if (node.flowNodeType === FlowNodeTypeEnum.datasetSearchNode) {
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defaultAppForm.dataset.datasets = findInputValueByKey(
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node.inputs,
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NodeInputKeyEnum.datasetSelectList
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);
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defaultAppForm.dataset.similarity = findInputValueByKey(
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node.inputs,
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NodeInputKeyEnum.datasetSimilarity
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);
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defaultAppForm.dataset.limit = findInputValueByKey(
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node.inputs,
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NodeInputKeyEnum.datasetMaxTokens
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);
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defaultAppForm.dataset.searchMode =
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findInputValueByKey(node.inputs, NodeInputKeyEnum.datasetSearchMode) ||
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DatasetSearchModeEnum.embedding;
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defaultAppForm.dataset.embeddingWeight = findInputValueByKey(
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node.inputs,
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NodeInputKeyEnum.datasetSearchEmbeddingWeight
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);
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// Rerank
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defaultAppForm.dataset.usingReRank = !!findInputValueByKey(
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node.inputs,
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NodeInputKeyEnum.datasetSearchUsingReRank
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);
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defaultAppForm.dataset.rerankModel = findInputValueByKey(
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node.inputs,
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NodeInputKeyEnum.datasetSearchRerankModel
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);
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defaultAppForm.dataset.rerankWeight = findInputValueByKey(
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node.inputs,
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NodeInputKeyEnum.datasetSearchRerankWeight
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);
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// Query extension
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defaultAppForm.dataset.datasetSearchUsingExtensionQuery = findInputValueByKey(
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node.inputs,
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NodeInputKeyEnum.datasetSearchUsingExtensionQuery
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);
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defaultAppForm.dataset.datasetSearchExtensionModel = findInputValueByKey(
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node.inputs,
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NodeInputKeyEnum.datasetSearchExtensionModel
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);
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defaultAppForm.dataset.datasetSearchExtensionBg = findInputValueByKey(
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node.inputs,
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NodeInputKeyEnum.datasetSearchExtensionBg
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);
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} else if (
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node.flowNodeType === FlowNodeTypeEnum.pluginModule ||
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node.flowNodeType === FlowNodeTypeEnum.appModule ||
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node.flowNodeType === FlowNodeTypeEnum.tool ||
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node.flowNodeType === FlowNodeTypeEnum.toolSet
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) {
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if (!node.pluginId) return;
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defaultAppForm.selectedTools.push({
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id: node.nodeId,
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pluginId: node.pluginId,
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name: node.name,
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avatar: node.avatar,
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intro: node.intro || '',
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flowNodeType: node.flowNodeType,
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showStatus: node.showStatus,
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version: node.version,
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inputs: node.inputs,
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outputs: node.outputs,
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templateType: FlowNodeTemplateTypeEnum.other,
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pluginData: node.pluginData
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});
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} else if (node.flowNodeType === FlowNodeTypeEnum.systemConfig) {
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defaultAppForm.chatConfig = getAppChatConfig({
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chatConfig,
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systemConfigNode: node,
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isPublicFetch: true
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});
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}
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});
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return defaultAppForm;
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};
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export const getAppType = (config?: WorkflowTemplateBasicType | AppSimpleEditFormType) => {
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if (!config) return '';
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if ('aiSettings' in config) {
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return AppTypeEnum.simple;
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}
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if (!('nodes' in config)) return '';
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if (config.nodes.some((node) => node.flowNodeType === 'workflowStart')) {
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return AppTypeEnum.workflow;
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}
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if (config.nodes.some((node) => node.flowNodeType === 'pluginInput')) {
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return AppTypeEnum.plugin;
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}
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return '';
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};
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export const checkAppUnExistError = (error?: string) => {
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const unExistError: Array<string> = [
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AppErrEnum.unAuthApp,
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AppErrEnum.unExist,
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PluginErrEnum.unAuth,
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PluginErrEnum.unExist
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];
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if (!!error && unExistError.includes(error)) {
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return error;
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} else {
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return undefined;
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}
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};
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