Files
FastGPT/packages/global/core/workflow/utils.ts
T
Archer 76d6234de6 V4.14.7 features (#6406)
* Agent features (#6345)

* Test agent (#6220)

* squash: compress all commits into one

* feat: plan response in ui

* response ui

* perf: agent config

* merge

* tool select ux

* perf: chat ui

* perf: agent editform

* tmp code

* feat: save chat

* Complete agent parent  (#6049)

* add role and tools filling

* add: file-upload

---------

Co-authored-by: xxyyh <2289112474@qq>

* perf: top agent code

* top agent (#6062)

Co-authored-by: xxyyh <2289112474@qq>

* fix: ts

* skill editor ui

* ui

* perf: rewrite type with zod

* skill edit ui

* skill agent (#6089)

* cp skill chat

* rebase fdf933d
 and add skill chat

* 1. skill 的 CRUD
2. skill 的信息渲染到前端界面

* solve comment

* remove chatid and chatItemId

* skill match

* perf: skill manage

* fix: ts

---------

Co-authored-by: xxyyh <2289112474@qq>
Co-authored-by: archer <545436317@qq.com>

* fix: ts

* fix: loop import

* skill tool config (#6114)

Co-authored-by: xxyyh <2289112474@qq>

* feat: load tool in agent

* skill memory (#6126)

Co-authored-by: xxyyh <2289112474@qq>

* perf: agent skill editor

* perf: helperbot ui

* agent code

* perf: context

* fix: request context

* agent usage

* perf: agent context and pause

* perf: plan response

* Test agent sigle skill (#6184)

* feat:top box fill

* prompt fix

---------

Co-authored-by: xxyyh <2289112474@qq>

* perf: agent chat ui

* Test agent new (#6219)

* have-replan

* agent

---------

Co-authored-by: xxyyh <2289112474@qq>

* fix: ts

---------

Co-authored-by: YeYuheng <57035043+YYH211@users.noreply.github.com>
Co-authored-by: xxyyh <2289112474@qq>

* feat: consolidate agent and MCP improvements

This commit consolidates 17 commits including:
- MCP tools enhancements and fixes
- Agent system improvements and optimizations
- Auth limit and prompt updates
- Tool response compression and error tracking
- Simple app adaptation
- Code quality improvements (TypeScript, ESLint, Zod)
- Version type migration to schema
- Remove deprecated useRequest2
- Add LLM error tracking
- Toolset ID validation fixes

---------

Co-authored-by: YeYuheng <57035043+YYH211@users.noreply.github.com>
Co-authored-by: xxyyh <2289112474@qq>

* fix: transform avatar copy;perf: filter invalid tool

* update llm response storage time

* fix: openapi schema

* update skill desc

* feat: cache hit data

* i18n

* lock

* chat logs support error filter & user search (#6373)

* chat log support searching by user name

* support error filter

* fix

* fix overflow

* optimize

* fix init script

* fix

* perf: get log users

* updat ecomment

* fix: ts

* fix: test

---------

Co-authored-by: archer <545436317@qq.com>

* Fix: agent  (#6376)

* Agent features (#6345)

* Test agent (#6220)

* squash: compress all commits into one

* feat: plan response in ui

* response ui

* perf: agent config

* merge

* tool select ux

* perf: chat ui

* perf: agent editform

* tmp code

* feat: save chat

* Complete agent parent  (#6049)

* add role and tools filling

* add: file-upload

---------

Co-authored-by: xxyyh <2289112474@qq>

* perf: top agent code

* top agent (#6062)

Co-authored-by: xxyyh <2289112474@qq>

* fix: ts

* skill editor ui

* ui

* perf: rewrite type with zod

* skill edit ui

* skill agent (#6089)

* cp skill chat

* rebase fdf933d
 and add skill chat

* 1. skill 的 CRUD
2. skill 的信息渲染到前端界面

* solve comment

* remove chatid and chatItemId

* skill match

* perf: skill manage

* fix: ts

---------

Co-authored-by: xxyyh <2289112474@qq>
Co-authored-by: archer <545436317@qq.com>

* fix: ts

* fix: loop import

* skill tool config (#6114)

Co-authored-by: xxyyh <2289112474@qq>

* feat: load tool in agent

* skill memory (#6126)

Co-authored-by: xxyyh <2289112474@qq>

* perf: agent skill editor

* perf: helperbot ui

* agent code

* perf: context

* fix: request context

* agent usage

* perf: agent context and pause

* perf: plan response

* Test agent sigle skill (#6184)

* feat:top box fill

* prompt fix

---------

Co-authored-by: xxyyh <2289112474@qq>

* perf: agent chat ui

* Test agent new (#6219)

* have-replan

* agent

---------

Co-authored-by: xxyyh <2289112474@qq>

* fix: ts

---------

Co-authored-by: YeYuheng <57035043+YYH211@users.noreply.github.com>
Co-authored-by: xxyyh <2289112474@qq>

* feat: consolidate agent and MCP improvements

This commit consolidates 17 commits including:
- MCP tools enhancements and fixes
- Agent system improvements and optimizations
- Auth limit and prompt updates
- Tool response compression and error tracking
- Simple app adaptation
- Code quality improvements (TypeScript, ESLint, Zod)
- Version type migration to schema
- Remove deprecated useRequest2
- Add LLM error tracking
- Toolset ID validation fixes

---------

Co-authored-by: YeYuheng <57035043+YYH211@users.noreply.github.com>
Co-authored-by: xxyyh <2289112474@qq>

* 1. 把辅助生成前端上的 system prompt 加入到上下文中
2. mcp工具的前端渲染(图标)
3. 文件读取工具和文件上传进行关联
4. 添加了辅助生成返回格式出错的重试方案
5. ask 不出现在 plan 步骤中
6. 添加了辅助生成的头像和交互 UI

* fix:read_file

* helperbot ui

* ts error

* helper ui

* delete Unused import

* perf: helper bot

* lock

---------

Co-authored-by: Archer <545436317@qq.com>
Co-authored-by: xxyyh <2289112474@qq>

* fix date variable required & model auth (#6386)

* fix date variable required & model auth

* doc

* feat: add chat id to finish callback

* fix: iphone safari shareId (#6387)

* fix: iphone safari shareId

* fix: mcp file list can't setting

* fix: reason output field

* fix: skip JSON validation for HTTP tool body with variable (#6392)

* fix: skip JSON validation for HTTP tool body with variable

* doc

* workflow fitview

* perf: selecting memory

* perf: cp api

* ui

* perf: toolcall auto adapt

* fix: catch workflow error

* fix: ts

* perf: pagination type

* remove

* ignore

* update doc

* fix: simple app tool select

* add default avatar to logs user

* perf: loading user

* select dataset ui

* rename version

* feat: add global/common test

* perf: packages/global/common test

* feat: package/global/ai,app test

* add global/chat test

* global/core test

* global/core test

* feat: packages/global all test

* perf: test

* add server api test

* perf: init shell

* perf: init4150 shell

* remove invalid code

* update doc

* remove log

* fix: chat effect

* fix: plan fake tool  (#6398)

* 1. 提示词防注入功能
2. 无工具不进入 plan,防止虚拟工具生成

* Agent-dataset

* dataset

* dataset presetInfo

* prefix

* perf: prompt

---------

Co-authored-by: xxyyh <2289112474@qq>
Co-authored-by: archer <545436317@qq.com>

* fix: review

* adapt kimi2.5 think toolcall

* feat: invoke fastgpt user info (#6403)

feat: invoke fastgpt user info

* fix: invoke fastgpt user info return orgs (#6404)

* skill and version

* retry helperbot (#6405)

Co-authored-by: xxyyh <2289112474@qq>

* update template

* remove log

* doc

* update doc

* doc

* perf: internal ip check

* adapt get paginationRecords

* tool call adapt

* fix: test

* doc

* fix: agent initial version

* adapt completions v1

* feat: instrumentation check

* rename skill

* add workflow demo mode tracks (#6407)

* chore: 统一 skills 目录命名为小写

将 .claude/Skills/ 重命名为 .claude/skills/ 以保持命名一致性。

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* add workflow demo mode tracks

* code

* optimize

* fix: improve workflowDemoTrack based on PR review

- Add comment to empty catch block for maintainability
- Add @param docs to onDemoChange clarifying nodeCount usage
- Replace silent .catch with console.debug for dev debugging
- Handle appId changes by reporting old data before re-init

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

---------

Co-authored-by: archer <545436317@qq.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>

* remove repeat skill

* fix(workflow): filter out orphan edges to prevent runtime errors (#6399)

* fix(workflow): filter out orphan edges to prevent runtime errors

Runtime edges that reference non-existent nodes (orphan edges) can cause
unexpected behavior or crashes during workflow dispatch. This change adds
a pre-check to filter out such edges before execution begins, ensuring
system stability even with inconsistent graph data.

* fix(workflow): enhance orphan edge filtering with logging and tests

- Refactor: Extract logic to 'filterOrphanEdges' in utils.ts for better reusability
- Feat: Add performance monitoring (warn if >100ms) and comprehensive logging
- Feat: Support detailed edge inspection in debug mode
- Docs: Add JSDoc explaining causes of orphan edges (migration, manual edits)
- Test: Add unit tests covering edge cases and performance (1000 edges)

Addresses PR review feedback regarding logging, variable naming, and testing."

* move code

* move code

* add more unit test

---------

Co-authored-by: archer <545436317@qq.com>

* test

* perf: test

* add server/common/string test

* fix: resolve $ref references in MCP tool input schemas (#6395) (#6409)

* fix: resolve $ref references in MCP tool input schemas (#6395)

* add test code

---------

Co-authored-by: archer <545436317@qq.com>

* chore(docs): add fastgpt, fastgpt-plugin version choice guide (#6411)

* chore(doc): add fastgpt version description

* doc

* doc

---------

Co-authored-by: archer <545436317@qq.com>

* fix:dataset cite and description info (#6410)

* 1. 添加知识库引用(plan 步骤和直接知识库调用)
2. 提示词框中的@知识库工具
3. plan 中 step 的 description dataset_search 改为中文

* fix: i18n

* prompt

* prompt

---------

Co-authored-by: xxyyh <2289112474@qq>

* fix: tool call

* perf: workflow props

* fix: merge ECharts toolbox options instead of overwriting (#6269) (#6412)

* feat: integrate logtape and otel (#6400)

* fix: deps

* feat(logger): integrate logtape and otel

* wip(log): add basic infras logs

* wip(log): add request id and inject it into context

* wip(log): add basic tx logs

* wip(log): migrate

* wip(log): category

* wip(log): more sub category

* fix: type

* fix: sessionRun

* fix: export getLogger from client.ts

* chore: improve logs

* docs: update signoz and changelog

* change type

* fix: ts

* remove skill.md

* fix: lockfile specifier

* fix: test

---------

Co-authored-by: archer <545436317@qq.com>

* init log

* doc

* remove invalid log

* fix: review

* template

* replace new log

* fix: ts

* remove log

* chore: migrate all addLog to logtape

* move skill

* chore: migrate all addLog to logtape (#6417)

* update skill

* remove log

* fix: tool check

---------

Co-authored-by: YeYuheng <57035043+YYH211@users.noreply.github.com>
Co-authored-by: xxyyh <2289112474@qq>
Co-authored-by: heheer <heheer@sealos.io>
Co-authored-by: Finley Ge <32237950+FinleyGe@users.noreply.github.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: xuyafei1996 <54217479+xuyafei1996@users.noreply.github.com>
Co-authored-by: ToukoYui <2331631097@qq.com>
Co-authored-by: roy <whoeverimf5@gmail.com>
2026-02-12 16:37:50 +08:00

451 lines
14 KiB
TypeScript

import {
chatHistoryValueDesc,
FlowNodeInputTypeEnum,
FlowNodeOutputTypeEnum,
FlowNodeTypeEnum
} from './node/constant';
import {
WorkflowIOValueTypeEnum,
NodeInputKeyEnum,
VariableInputEnum,
variableMap,
VARIABLE_NODE_ID,
NodeOutputKeyEnum
} from './constants';
import {
type FlowNodeInputItemType,
type FlowNodeOutputItemType,
type ReferenceArrayValueType,
type ReferenceItemValueType
} from './type/io';
import { type StoreNodeItemType } from './type/node';
import type {
VariableItemType,
AppTTSConfigType,
AppWhisperConfigType,
AppScheduledTriggerConfigType,
ChatInputGuideConfigType,
AppChatConfigType,
AppAutoExecuteConfigType,
AppQGConfigType,
AppSchemaType
} from '../app/type';
import { type EditorVariablePickerType } from '../../../web/components/common/Textarea/PromptEditor/type';
import {
defaultAutoExecuteConfig,
defaultChatInputGuideConfig,
defaultQGConfig,
defaultTTSConfig,
defaultWhisperConfig
} from '../app/constants';
import { IfElseResultEnum } from './template/system/ifElse/constant';
import {
Input_Template_File_Link,
Input_Template_History,
Input_Template_Stream_MODE,
Input_Template_UserChatInput
} from './template/input';
import { i18nT } from '../../../web/i18n/utils';
import { type RuntimeUserPromptType, type UserChatItemType } from '../../core/chat/type';
import { getNanoid } from '../../common/string/tools';
import { ChatRoleEnum } from '../../core/chat/constants';
import { runtimePrompt2ChatsValue } from '../../core/chat/adapt';
export const getHandleId = (
nodeId: string,
type: 'source' | 'source_catch' | 'target',
key: string
) => {
return `${nodeId}-${type}-${key}`;
};
export const checkInputIsReference = (input: FlowNodeInputItemType) => {
if (input.renderTypeList?.[input?.selectedTypeIndex || 0] === FlowNodeInputTypeEnum.reference)
return true;
return false;
};
/* node */
export const getGuideModule = (nodes: StoreNodeItemType[]) =>
nodes.find(
(item) =>
item.flowNodeType === FlowNodeTypeEnum.systemConfig ||
// @ts-ignore (adapt v1)
item.flowType === FlowNodeTypeEnum.systemConfig
);
export const splitGuideModule = (guideModules?: StoreNodeItemType) => {
const welcomeText: string =
guideModules?.inputs?.find((item) => item.key === NodeInputKeyEnum.welcomeText)?.value ?? '';
const variables: VariableItemType[] =
guideModules?.inputs.find((item) => item.key === NodeInputKeyEnum.variables)?.value ?? [];
// Adapt old version
const questionGuideVal = guideModules?.inputs?.find(
(item) => item.key === NodeInputKeyEnum.questionGuide
)?.value;
const questionGuide: AppQGConfigType =
typeof questionGuideVal === 'boolean'
? { ...defaultQGConfig, open: questionGuideVal }
: questionGuideVal ?? defaultQGConfig;
const ttsConfig: AppTTSConfigType =
guideModules?.inputs?.find((item) => item.key === NodeInputKeyEnum.tts)?.value ??
defaultTTSConfig;
const whisperConfig: AppWhisperConfigType =
guideModules?.inputs?.find((item) => item.key === NodeInputKeyEnum.whisper)?.value ??
defaultWhisperConfig;
const scheduledTriggerConfig: AppScheduledTriggerConfigType =
guideModules?.inputs?.find((item) => item.key === NodeInputKeyEnum.scheduleTrigger)?.value ??
undefined;
const chatInputGuide: ChatInputGuideConfigType =
guideModules?.inputs?.find((item) => item.key === NodeInputKeyEnum.chatInputGuide)?.value ??
defaultChatInputGuideConfig;
const instruction: string =
guideModules?.inputs?.find((item) => item.key === NodeInputKeyEnum.instruction)?.value ?? '';
const autoExecute: AppAutoExecuteConfigType =
guideModules?.inputs?.find((item) => item.key === NodeInputKeyEnum.autoExecute)?.value ??
defaultAutoExecuteConfig;
return {
welcomeText,
variables,
questionGuide,
ttsConfig,
whisperConfig,
scheduledTriggerConfig,
chatInputGuide,
instruction,
autoExecute
};
};
// Get app chat config: db > nodes
export const getAppChatConfig = ({
chatConfig,
systemConfigNode,
storeVariables,
storeWelcomeText,
isPublicFetch = false
}: {
chatConfig?: AppChatConfigType;
systemConfigNode?: StoreNodeItemType;
storeVariables?: VariableItemType[];
storeWelcomeText?: string;
isPublicFetch: boolean;
}): AppChatConfigType => {
const {
welcomeText,
variables,
questionGuide,
ttsConfig,
whisperConfig,
scheduledTriggerConfig,
chatInputGuide,
instruction,
autoExecute
} = splitGuideModule(systemConfigNode);
const config: AppChatConfigType = {
questionGuide,
ttsConfig,
whisperConfig,
scheduledTriggerConfig,
chatInputGuide,
instruction,
autoExecute,
...chatConfig,
variables: storeVariables ?? chatConfig?.variables ?? variables,
welcomeText: storeWelcomeText ?? chatConfig?.welcomeText ?? welcomeText
};
if (!isPublicFetch) {
config.scheduledTriggerConfig = undefined;
}
return config;
};
export const getOrInitModuleInputValue = (input: FlowNodeInputItemType) => {
if (input.value !== undefined || !input.valueType) return input.value;
if (input.defaultValue !== undefined) return input.defaultValue;
const map: Record<string, any> = {
[WorkflowIOValueTypeEnum.boolean]: false,
[WorkflowIOValueTypeEnum.number]: 0,
[WorkflowIOValueTypeEnum.string]: ''
};
return map[input.valueType];
};
export const getModuleInputUiField = (input: FlowNodeInputItemType) => {
// if (input.renderTypeList === FlowNodeInputTypeEnum.input || input.type === FlowNodeInputTypeEnum.textarea) {
// return {
// placeholder: input.placeholder || input.description
// };
// }
return {};
};
export const pluginData2FlowNodeIO = ({
nodes
}: {
nodes: StoreNodeItemType[];
}): {
inputs: FlowNodeInputItemType[];
outputs: FlowNodeOutputItemType[];
} => {
const pluginInput = nodes.find((node) => node.flowNodeType === FlowNodeTypeEnum.pluginInput);
const pluginOutput = nodes.find((node) => node.flowNodeType === FlowNodeTypeEnum.pluginOutput);
return {
inputs: pluginInput
? [
Input_Template_Stream_MODE,
...pluginInput?.inputs.map((item) => ({
...item,
...getModuleInputUiField(item),
value: getOrInitModuleInputValue(item),
canEdit: false,
renderTypeList:
item.renderTypeList[0] === FlowNodeInputTypeEnum.customVariable
? [FlowNodeInputTypeEnum.reference, FlowNodeInputTypeEnum.input]
: item.renderTypeList
}))
]
: [],
outputs: pluginOutput
? pluginOutput.inputs.map((item) => ({
id: item.key,
type: FlowNodeOutputTypeEnum.static,
key: item.key,
valueType: item.valueType,
label: item.label || item.key,
description: item.description
}))
: []
};
};
export const appData2FlowNodeIO = ({
chatConfig
}: {
chatConfig?: AppChatConfigType;
}): {
inputs: FlowNodeInputItemType[];
outputs: FlowNodeOutputItemType[];
} => {
const variableInput = !chatConfig?.variables
? []
: chatConfig.variables.map((item) => {
const renderTypeMap: Record<VariableInputEnum, FlowNodeInputTypeEnum[]> = {
[VariableInputEnum.input]: [FlowNodeInputTypeEnum.input, FlowNodeInputTypeEnum.reference],
[VariableInputEnum.textarea]: [
FlowNodeInputTypeEnum.textarea,
FlowNodeInputTypeEnum.reference
],
[VariableInputEnum.numberInput]: [FlowNodeInputTypeEnum.numberInput],
[VariableInputEnum.select]: [FlowNodeInputTypeEnum.select],
[VariableInputEnum.multipleSelect]: [FlowNodeInputTypeEnum.multipleSelect],
[VariableInputEnum.timePointSelect]: [FlowNodeInputTypeEnum.timePointSelect],
[VariableInputEnum.timeRangeSelect]: [FlowNodeInputTypeEnum.timeRangeSelect],
[VariableInputEnum.switch]: [FlowNodeInputTypeEnum.switch],
[VariableInputEnum.password]: [FlowNodeInputTypeEnum.password],
[VariableInputEnum.file]: [FlowNodeInputTypeEnum.fileSelect],
[VariableInputEnum.llmSelect]: [FlowNodeInputTypeEnum.selectLLMModel],
[VariableInputEnum.datasetSelect]: [FlowNodeInputTypeEnum.selectDataset],
[VariableInputEnum.internal]: [FlowNodeInputTypeEnum.hidden],
[VariableInputEnum.custom]: [FlowNodeInputTypeEnum.input, FlowNodeInputTypeEnum.reference]
};
return {
key: item.key,
renderTypeList: renderTypeMap[item.type] || [FlowNodeInputTypeEnum.reference],
label: item.label,
debugLabel: item.label,
description: '',
valueType: item.valueType || WorkflowIOValueTypeEnum.any,
required: item.required,
list: (item.list || item.enums)?.map((enumItem) => ({
label: enumItem.value,
value: enumItem.value
}))
};
});
return {
inputs: [
Input_Template_Stream_MODE,
Input_Template_History,
...(chatConfig?.fileSelectConfig?.canSelectFile || chatConfig?.fileSelectConfig?.canSelectImg
? [Input_Template_File_Link]
: []),
Input_Template_UserChatInput,
...variableInput
],
outputs: [
{
id: NodeOutputKeyEnum.history,
key: NodeOutputKeyEnum.history,
required: true,
label: i18nT('common:core.module.output.label.New context'),
description: i18nT('common:core.module.output.description.New context'),
valueType: WorkflowIOValueTypeEnum.chatHistory,
valueDesc: chatHistoryValueDesc,
type: FlowNodeOutputTypeEnum.static
},
{
id: NodeOutputKeyEnum.answerText,
key: NodeOutputKeyEnum.answerText,
required: false,
label: i18nT('common:core.module.output.label.Ai response content'),
description: i18nT('common:core.module.output.description.Ai response content'),
valueType: WorkflowIOValueTypeEnum.string,
type: FlowNodeOutputTypeEnum.static
}
]
};
};
export const toolData2FlowNodeIO = ({ nodes }: { nodes: StoreNodeItemType[] }) => {
const toolNode = nodes.find((node) => node.flowNodeType === FlowNodeTypeEnum.tool);
return {
inputs: toolNode?.inputs || [],
outputs: toolNode?.outputs || [],
toolConfig: toolNode?.toolConfig
};
};
export const toolSetData2FlowNodeIO = ({ nodes }: { nodes: StoreNodeItemType[] }) => {
const toolSetNode = nodes.find((node) => node.flowNodeType === FlowNodeTypeEnum.toolSet);
return {
inputs: toolSetNode?.inputs || [],
outputs: toolSetNode?.outputs || [],
toolConfig: toolSetNode?.toolConfig,
showSourceHandle: false,
showTargetHandle: false
};
};
export const formatEditorVariablePickerIcon = (
variables: { key: string; label: string; type?: `${VariableInputEnum}`; required?: boolean }[]
): EditorVariablePickerType[] => {
return variables.map((item) => ({
...item,
icon: item.type ? variableMap[item.type]?.icon : variableMap['input'].icon
}));
};
// Check the value is a valid reference value format: [variableId, outputId]
export const isValidReferenceValueFormat = (value: any): value is ReferenceItemValueType => {
return Array.isArray(value) && value.length === 2 && typeof value[0] === 'string';
};
/*
Check whether the value([variableId, outputId]) value is a valid reference value:
1. The value must be an array of length 2
2. The first item of the array must be one of VARIABLE_NODE_ID or nodeIds
*/
export const isValidReferenceValue = (
value: any,
nodeIds: string[]
): value is ReferenceItemValueType => {
if (!isValidReferenceValueFormat(value)) return false;
const validIdSet = new Set([VARIABLE_NODE_ID, ...nodeIds]);
return validIdSet.has(value[0]);
};
/*
Check whether the value([variableId, outputId][]) value is a valid reference value array:
1. The value must be an array
2. The array must contain at least one element
3. Each element in the array must be a valid reference value
*/
export const isValidArrayReferenceValue = (
value: any,
nodeIds: string[]
): value is ReferenceArrayValueType => {
if (!Array.isArray(value)) return false;
return value.every((item) => isValidReferenceValue(item, nodeIds));
};
export const getElseIFLabel = (i: number) => {
return i === 0 ? IfElseResultEnum.IF : `${IfElseResultEnum.ELSE_IF} ${i}`;
};
/* Get plugin runtime input user query */
export const clientGetWorkflowToolRunUserQuery = ({
pluginInputs,
variables,
files = []
}: {
pluginInputs: FlowNodeInputItemType[];
variables: Record<string, any>;
files?: RuntimeUserPromptType['files'];
}): UserChatItemType & { dataId: string } => {
const getPluginRunContent = ({
pluginInputs,
variables
}: {
pluginInputs: FlowNodeInputItemType[];
variables: Record<string, any>;
}) => {
const pluginInputsWithValue = pluginInputs.map((input) => {
const { key } = input;
let value = variables?.hasOwnProperty(key) ? variables[key] : input.defaultValue;
return {
...input,
value
};
});
return JSON.stringify(pluginInputsWithValue);
};
return {
dataId: getNanoid(24),
obj: ChatRoleEnum.Human,
value: runtimePrompt2ChatsValue({
text: getPluginRunContent({
pluginInputs: pluginInputs,
variables
}),
files
})
};
};
export const removeUnauthModels = async ({
modules,
allowedModels = new Set()
}: {
modules: AppSchemaType['modules'];
allowedModels?: Set<string>;
}) => {
if (modules) {
modules.forEach((module) => {
module.inputs.forEach((input) => {
if (input.key === 'model') {
// 如果是引用类型(selectedTypeIndex 不为 0 或 value 是数组),跳过检查
if (input.selectedTypeIndex !== 0 || Array.isArray(input.value)) {
return;
}
if (!allowedModels.has(input.value)) {
input.value = undefined;
}
}
});
});
}
return modules;
};