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* refactor: remove ModelProviderIdType and update related types (#5549) * perf: model provider * fix eval create split (#5570) * git rebase --continuedoc * add more variable types (#5540) * variable types * password * time picker * internal var * file * fix-test * time select default value & range * password & type render * fix * fix build * fix * move method * split date select * icon * perf: variable code * prompt editor add markdown plugin (#5556) * editor markdown * fix build * pnpm lock * add props * update code * fix list * editor ui * fix variable reset (#5586) * perf: variables type code * customize lexical indent (#5588) * perf: multiple selector * perf: tab plugin * doc * refactor: update workflow constants to use ToolTypeEnum (#5491) * refactor: replace FlowNodeTemplateTypeEnum with string literals in workflow templates * perf: tool type --------- Co-authored-by: archer <545436317@qq.com> * update doc * fix: make table's row more natural while dragging it (#5596) * feat: add APIGetTemplate function and refactor template fetching logic (#5498) * feat: add APIGetTemplate function and refactor template fetching logic * chore: adjust the code * chore: update sdk --------- Co-authored-by: FinleyGe <m13203533462@163.com> * perf init system * doc * remove log * remove i18n * perf: variables render --------- Co-authored-by: Ctrlz <143257420+ctrlz526@users.noreply.github.com> Co-authored-by: heheer <heheer@sealos.io> Co-authored-by: 伍闲犬 <whoeverimf5@gmail.com> Co-authored-by: FinleyGe <m13203533462@163.com>
200 lines
6.5 KiB
TypeScript
200 lines
6.5 KiB
TypeScript
import type { AppChatConfigType, AppSimpleEditFormType } from '../app/type';
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import { FlowNodeTypeEnum } from '../workflow/node/constant';
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import { FlowNodeTemplateTypeEnum, NodeInputKeyEnum } 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 { type StoreNodeItemType } from '../workflow/type/node';
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import { DatasetSearchModeEnum } from '../dataset/constants';
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import { type WorkflowTemplateBasicType } from '../workflow/type';
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import { AppTypeEnum } from './constants';
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import appErrList from '../../common/error/code/app';
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import pluginErrList 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: '',
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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: true,
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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.agent
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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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toolConfig: node.toolConfig
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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 formatToolError = (error?: any) => {
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if (!error || typeof error !== 'string') return;
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const errorText = appErrList[error]?.message || pluginErrList[error]?.message;
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return errorText || error;
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};
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