mirror of
https://github.com/labring/FastGPT.git
synced 2026-05-02 01:02:05 +08:00
76d6234de6
* 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 * rebasefdf933dand 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 * rebasefdf933dand 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>
451 lines
14 KiB
TypeScript
451 lines
14 KiB
TypeScript
import {
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chatHistoryValueDesc,
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FlowNodeInputTypeEnum,
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FlowNodeOutputTypeEnum,
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FlowNodeTypeEnum
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} from './node/constant';
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import {
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WorkflowIOValueTypeEnum,
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NodeInputKeyEnum,
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VariableInputEnum,
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variableMap,
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VARIABLE_NODE_ID,
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NodeOutputKeyEnum
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} from './constants';
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import {
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type FlowNodeInputItemType,
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type FlowNodeOutputItemType,
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type ReferenceArrayValueType,
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type ReferenceItemValueType
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} from './type/io';
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import { type StoreNodeItemType } from './type/node';
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import type {
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VariableItemType,
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AppTTSConfigType,
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AppWhisperConfigType,
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AppScheduledTriggerConfigType,
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ChatInputGuideConfigType,
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AppChatConfigType,
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AppAutoExecuteConfigType,
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AppQGConfigType,
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AppSchemaType
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} from '../app/type';
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import { type EditorVariablePickerType } from '../../../web/components/common/Textarea/PromptEditor/type';
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import {
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defaultAutoExecuteConfig,
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defaultChatInputGuideConfig,
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defaultQGConfig,
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defaultTTSConfig,
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defaultWhisperConfig
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} from '../app/constants';
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import { IfElseResultEnum } from './template/system/ifElse/constant';
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import {
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Input_Template_File_Link,
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Input_Template_History,
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Input_Template_Stream_MODE,
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Input_Template_UserChatInput
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} from './template/input';
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import { i18nT } from '../../../web/i18n/utils';
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import { type RuntimeUserPromptType, type UserChatItemType } from '../../core/chat/type';
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import { getNanoid } from '../../common/string/tools';
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import { ChatRoleEnum } from '../../core/chat/constants';
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import { runtimePrompt2ChatsValue } from '../../core/chat/adapt';
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export const getHandleId = (
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nodeId: string,
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type: 'source' | 'source_catch' | 'target',
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key: string
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) => {
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return `${nodeId}-${type}-${key}`;
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};
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export const checkInputIsReference = (input: FlowNodeInputItemType) => {
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if (input.renderTypeList?.[input?.selectedTypeIndex || 0] === FlowNodeInputTypeEnum.reference)
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return true;
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return false;
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};
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/* node */
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export const getGuideModule = (nodes: StoreNodeItemType[]) =>
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nodes.find(
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(item) =>
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item.flowNodeType === FlowNodeTypeEnum.systemConfig ||
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// @ts-ignore (adapt v1)
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item.flowType === FlowNodeTypeEnum.systemConfig
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);
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export const splitGuideModule = (guideModules?: StoreNodeItemType) => {
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const welcomeText: string =
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guideModules?.inputs?.find((item) => item.key === NodeInputKeyEnum.welcomeText)?.value ?? '';
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const variables: VariableItemType[] =
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guideModules?.inputs.find((item) => item.key === NodeInputKeyEnum.variables)?.value ?? [];
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// Adapt old version
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const questionGuideVal = guideModules?.inputs?.find(
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(item) => item.key === NodeInputKeyEnum.questionGuide
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)?.value;
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const questionGuide: AppQGConfigType =
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typeof questionGuideVal === 'boolean'
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? { ...defaultQGConfig, open: questionGuideVal }
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: questionGuideVal ?? defaultQGConfig;
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const ttsConfig: AppTTSConfigType =
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guideModules?.inputs?.find((item) => item.key === NodeInputKeyEnum.tts)?.value ??
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defaultTTSConfig;
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const whisperConfig: AppWhisperConfigType =
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guideModules?.inputs?.find((item) => item.key === NodeInputKeyEnum.whisper)?.value ??
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defaultWhisperConfig;
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const scheduledTriggerConfig: AppScheduledTriggerConfigType =
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guideModules?.inputs?.find((item) => item.key === NodeInputKeyEnum.scheduleTrigger)?.value ??
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undefined;
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const chatInputGuide: ChatInputGuideConfigType =
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guideModules?.inputs?.find((item) => item.key === NodeInputKeyEnum.chatInputGuide)?.value ??
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defaultChatInputGuideConfig;
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const instruction: string =
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guideModules?.inputs?.find((item) => item.key === NodeInputKeyEnum.instruction)?.value ?? '';
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const autoExecute: AppAutoExecuteConfigType =
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guideModules?.inputs?.find((item) => item.key === NodeInputKeyEnum.autoExecute)?.value ??
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defaultAutoExecuteConfig;
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return {
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welcomeText,
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variables,
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questionGuide,
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ttsConfig,
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whisperConfig,
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scheduledTriggerConfig,
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chatInputGuide,
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instruction,
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autoExecute
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};
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};
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// Get app chat config: db > nodes
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export const getAppChatConfig = ({
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chatConfig,
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systemConfigNode,
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storeVariables,
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storeWelcomeText,
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isPublicFetch = false
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}: {
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chatConfig?: AppChatConfigType;
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systemConfigNode?: StoreNodeItemType;
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storeVariables?: VariableItemType[];
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storeWelcomeText?: string;
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isPublicFetch: boolean;
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}): AppChatConfigType => {
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const {
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welcomeText,
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variables,
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questionGuide,
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ttsConfig,
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whisperConfig,
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scheduledTriggerConfig,
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chatInputGuide,
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instruction,
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autoExecute
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} = splitGuideModule(systemConfigNode);
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const config: AppChatConfigType = {
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questionGuide,
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ttsConfig,
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whisperConfig,
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scheduledTriggerConfig,
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chatInputGuide,
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instruction,
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autoExecute,
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...chatConfig,
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variables: storeVariables ?? chatConfig?.variables ?? variables,
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welcomeText: storeWelcomeText ?? chatConfig?.welcomeText ?? welcomeText
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};
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if (!isPublicFetch) {
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config.scheduledTriggerConfig = undefined;
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}
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return config;
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};
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export const getOrInitModuleInputValue = (input: FlowNodeInputItemType) => {
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if (input.value !== undefined || !input.valueType) return input.value;
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if (input.defaultValue !== undefined) return input.defaultValue;
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const map: Record<string, any> = {
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[WorkflowIOValueTypeEnum.boolean]: false,
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[WorkflowIOValueTypeEnum.number]: 0,
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[WorkflowIOValueTypeEnum.string]: ''
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};
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return map[input.valueType];
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};
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export const getModuleInputUiField = (input: FlowNodeInputItemType) => {
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// if (input.renderTypeList === FlowNodeInputTypeEnum.input || input.type === FlowNodeInputTypeEnum.textarea) {
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// return {
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// placeholder: input.placeholder || input.description
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// };
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// }
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return {};
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};
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export const pluginData2FlowNodeIO = ({
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nodes
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}: {
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nodes: StoreNodeItemType[];
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}): {
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inputs: FlowNodeInputItemType[];
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outputs: FlowNodeOutputItemType[];
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} => {
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const pluginInput = nodes.find((node) => node.flowNodeType === FlowNodeTypeEnum.pluginInput);
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const pluginOutput = nodes.find((node) => node.flowNodeType === FlowNodeTypeEnum.pluginOutput);
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return {
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inputs: pluginInput
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? [
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Input_Template_Stream_MODE,
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...pluginInput?.inputs.map((item) => ({
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...item,
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...getModuleInputUiField(item),
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value: getOrInitModuleInputValue(item),
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canEdit: false,
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renderTypeList:
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item.renderTypeList[0] === FlowNodeInputTypeEnum.customVariable
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? [FlowNodeInputTypeEnum.reference, FlowNodeInputTypeEnum.input]
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: item.renderTypeList
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}))
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]
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: [],
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outputs: pluginOutput
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? pluginOutput.inputs.map((item) => ({
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id: item.key,
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type: FlowNodeOutputTypeEnum.static,
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key: item.key,
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valueType: item.valueType,
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label: item.label || item.key,
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description: item.description
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}))
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: []
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};
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};
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export const appData2FlowNodeIO = ({
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chatConfig
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}: {
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chatConfig?: AppChatConfigType;
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}): {
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inputs: FlowNodeInputItemType[];
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outputs: FlowNodeOutputItemType[];
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} => {
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const variableInput = !chatConfig?.variables
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? []
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: chatConfig.variables.map((item) => {
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const renderTypeMap: Record<VariableInputEnum, FlowNodeInputTypeEnum[]> = {
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[VariableInputEnum.input]: [FlowNodeInputTypeEnum.input, FlowNodeInputTypeEnum.reference],
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[VariableInputEnum.textarea]: [
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FlowNodeInputTypeEnum.textarea,
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FlowNodeInputTypeEnum.reference
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],
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[VariableInputEnum.numberInput]: [FlowNodeInputTypeEnum.numberInput],
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[VariableInputEnum.select]: [FlowNodeInputTypeEnum.select],
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[VariableInputEnum.multipleSelect]: [FlowNodeInputTypeEnum.multipleSelect],
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[VariableInputEnum.timePointSelect]: [FlowNodeInputTypeEnum.timePointSelect],
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[VariableInputEnum.timeRangeSelect]: [FlowNodeInputTypeEnum.timeRangeSelect],
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[VariableInputEnum.switch]: [FlowNodeInputTypeEnum.switch],
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[VariableInputEnum.password]: [FlowNodeInputTypeEnum.password],
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[VariableInputEnum.file]: [FlowNodeInputTypeEnum.fileSelect],
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[VariableInputEnum.llmSelect]: [FlowNodeInputTypeEnum.selectLLMModel],
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[VariableInputEnum.datasetSelect]: [FlowNodeInputTypeEnum.selectDataset],
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[VariableInputEnum.internal]: [FlowNodeInputTypeEnum.hidden],
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[VariableInputEnum.custom]: [FlowNodeInputTypeEnum.input, FlowNodeInputTypeEnum.reference]
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};
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return {
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key: item.key,
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renderTypeList: renderTypeMap[item.type] || [FlowNodeInputTypeEnum.reference],
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label: item.label,
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debugLabel: item.label,
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description: '',
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valueType: item.valueType || WorkflowIOValueTypeEnum.any,
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required: item.required,
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list: (item.list || item.enums)?.map((enumItem) => ({
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label: enumItem.value,
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value: enumItem.value
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}))
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};
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});
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return {
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inputs: [
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Input_Template_Stream_MODE,
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Input_Template_History,
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...(chatConfig?.fileSelectConfig?.canSelectFile || chatConfig?.fileSelectConfig?.canSelectImg
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? [Input_Template_File_Link]
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: []),
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Input_Template_UserChatInput,
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...variableInput
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],
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outputs: [
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{
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id: NodeOutputKeyEnum.history,
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key: NodeOutputKeyEnum.history,
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required: true,
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label: i18nT('common:core.module.output.label.New context'),
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description: i18nT('common:core.module.output.description.New context'),
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valueType: WorkflowIOValueTypeEnum.chatHistory,
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valueDesc: chatHistoryValueDesc,
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type: FlowNodeOutputTypeEnum.static
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},
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{
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id: NodeOutputKeyEnum.answerText,
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key: NodeOutputKeyEnum.answerText,
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required: false,
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label: i18nT('common:core.module.output.label.Ai response content'),
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description: i18nT('common:core.module.output.description.Ai response content'),
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valueType: WorkflowIOValueTypeEnum.string,
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type: FlowNodeOutputTypeEnum.static
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}
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]
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};
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};
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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;
|
|
};
|