交互节点开发指南

概述

FastGPT 工作流支持多种交互节点类型,允许在工作流执行过程中暂停并等待用户输入。本指南详细说明了如何开发新的交互节点。

现有交互节点类型

当前系统支持以下交互节点类型:

userSelect - 用户选择节点(单选)
formInput - 表单输入节点(多字段表单)
childrenInteractive - 子工作流交互
loopInteractive - 循环交互
paymentPause - 欠费暂停交互

交互节点架构

核心类型定义

交互节点的类型定义位于 packages/global/core/workflow/template/system/interactive/type.d.ts

// 基础交互结构
type InteractiveBasicType = {
  entryNodeIds: string[];                    // 入口节点ID列表
  memoryEdges: RuntimeEdgeItemType[];        // 需要记忆的边
  nodeOutputs: NodeOutputItemType[];         // 节点输出
  skipNodeQueue?: Array;                     // 跳过的节点队列
  usageId?: string;                          // 用量记录ID
};

// 具体交互节点类型
type YourInteractiveNode = InteractiveNodeType & {
  type: 'yourNodeType';
  params: {
    // 节点特定参数
  };
};

工作流执行机制

交互节点在工作流执行中的特殊处理(位于 packages/service/core/workflow/dispatch/index.ts:1012-1019):

// 部分交互节点不会自动重置 isEntry 标志（因为需要根据 isEntry 字段来判断是首次进入还是流程进入）
runtimeNodes.forEach((item) => {
  if (
    item.flowNodeType !== FlowNodeTypeEnum.userSelect &&
    item.flowNodeType !== FlowNodeTypeEnum.formInput &&
    item.flowNodeType !== FlowNodeTypeEnum.agent
  ) {
    item.isEntry = false;
  }
});

开发新交互响应的步骤

步骤 1: 定义节点类型

文件: packages/global/core/workflow/template/system/interactive/type.d.ts

export type YourInputItemType = {
  // 定义输入项的结构
  key: string;
  label: string;
  value: any;
  // ... 其他字段
};

type YourInteractiveNode = InteractiveNodeType & {
  type: 'yourNodeType';
  params: {
    description: string;
    yourInputField: YourInputItemType[];
    submitted?: boolean;  // 可选:是否已提交
  };
};

// 添加到联合类型
export type InteractiveNodeResponseType =
  | UserSelectInteractive
  | UserInputInteractive
  | YourInteractiveNode  // 新增
  | ChildrenInteractive
  | LoopInteractive
  | PaymentPauseInteractive;

步骤 2: 定义节点枚举（可选）

文件: packages/global/core/workflow/node/constant.ts

如果不需要添加新的节点类型，则不需要修改这个文件。

export enum FlowNodeTypeEnum {
  // ... 现有类型
  yourNodeType = 'yourNodeType',  // 新增节点类型
}

步骤 3: 创建节点模板（可选）

文件: packages/global/core/workflow/template/system/interactive/yourNode.ts

import { i18nT } from '../../../../../../web/i18n/utils';
import {
  FlowNodeTemplateTypeEnum,
  NodeInputKeyEnum,
  NodeOutputKeyEnum,
  WorkflowIOValueTypeEnum
} from '../../../constants';
import {
  FlowNodeInputTypeEnum,
  FlowNodeOutputTypeEnum,
  FlowNodeTypeEnum
} from '../../../node/constant';
import { type FlowNodeTemplateType } from '../../../type/node';

export const YourNode: FlowNodeTemplateType = {
  id: FlowNodeTypeEnum.yourNodeType,
  templateType: FlowNodeTemplateTypeEnum.interactive,
  flowNodeType: FlowNodeTypeEnum.yourNodeType,
  showSourceHandle: true,   // 是否显示源连接点
  showTargetHandle: true,   // 是否显示目标连接点
  avatar: 'core/workflow/template/yourNode',
  name: i18nT('app:workflow.your_node'),
  intro: i18nT('app:workflow.your_node_tip'),
  isTool: true,  // 标记为工具节点
  inputs: [
    {
      key: NodeInputKeyEnum.description,
      renderTypeList: [FlowNodeInputTypeEnum.textarea],
      valueType: WorkflowIOValueTypeEnum.string,
      label: i18nT('app:workflow.node_description'),
      placeholder: i18nT('app:workflow.your_node_placeholder')
    },
    {
      key: NodeInputKeyEnum.yourInputField,
      renderTypeList: [FlowNodeInputTypeEnum.custom],
      valueType: WorkflowIOValueTypeEnum.any,
      label: '',
      value: []  // 默认值
    }
  ],
  outputs: [
    {
      id: NodeOutputKeyEnum.yourResult,
      key: NodeOutputKeyEnum.yourResult,
      required: true,
      label: i18nT('workflow:your_result'),
      valueType: WorkflowIOValueTypeEnum.object,
      type: FlowNodeOutputTypeEnum.static
    }
  ]
};

步骤 4: 创建节点执行逻辑或在需要处理交互逻辑的节点上增加新逻辑

文件: packages/service/core/workflow/dispatch/interactive/yourNode.ts

import { DispatchNodeResponseKeyEnum } from '@fastgpt/global/core/workflow/runtime/constants';
import type {
  DispatchNodeResultType,
  ModuleDispatchProps
} from '@fastgpt/global/core/workflow/runtime/type';
import type { NodeInputKeyEnum } from '@fastgpt/global/core/workflow/constants';
import { NodeOutputKeyEnum } from '@fastgpt/global/core/workflow/constants';
import type { YourInputItemType } from '@fastgpt/global/core/workflow/template/system/interactive/type';
import { chatValue2RuntimePrompt } from '@fastgpt/global/core/chat/adapt';

type Props = ModuleDispatchProps<{
  [NodeInputKeyEnum.description]: string;
  [NodeInputKeyEnum.yourInputField]: YourInputItemType[];
}>;

type YourNodeResponse = DispatchNodeResultType<{
  [NodeOutputKeyEnum.yourResult]?: Record<string, any>;
}>;

export const dispatchYourNode = async (props: Props): Promise<YourNodeResponse> => {
  const {
    histories,
    node,
    params: { description, yourInputField },
    query,
    lastInteractive
  } = props;
  const { isEntry } = node;

  // 第一阶段:非入口节点或不是对应的交互类型,返回交互请求
  if (!isEntry || lastInteractive?.type !== 'yourNodeType') {
    return {
      [DispatchNodeResponseKeyEnum.interactive]: {
        type: 'yourNodeType',
        params: {
          description,
          yourInputField
        }
      }
    };
  }

  // 第二阶段:处理用户提交的数据
  node.isEntry = false;  // 重要:重置入口标志

  const { text } = chatValue2RuntimePrompt(query);
  const userInputVal = (() => {
    try {
      return JSON.parse(text);  // 根据实际格式解析
    } catch (error) {
      return {};
    }
  })();

  return {
    data: {
      [NodeOutputKeyEnum.yourResult]: userInputVal
    },
    // 移除当前交互的历史记录(最后2条)
    [DispatchNodeResponseKeyEnum.rewriteHistories]: histories.slice(0, -2),
    [DispatchNodeResponseKeyEnum.toolResponses]: userInputVal,
    [DispatchNodeResponseKeyEnum.nodeResponse]: {
      yourResult: userInputVal
    }
  };
};

步骤 5: 注册节点回调

文件: packages/service/core/workflow/dispatch/constants.ts

import { dispatchYourNode } from './interactive/yourNode';

export const callbackMap: Record<FlowNodeTypeEnum, any> = {
  // ... 现有节点
  [FlowNodeTypeEnum.yourNodeType]: dispatchYourNode,
};

步骤 6: 创建前端渲染组件

6.1 聊天界面交互组件

文件: projects/app/src/components/core/chat/components/Interactive/InteractiveComponents.tsx

export const YourNodeComponent = React.memo(function YourNodeComponent({
  interactiveParams: { description, yourInputField, submitted },
  defaultValues = {},
  SubmitButton
}: {
  interactiveParams: YourInteractiveNode['params'];
  defaultValues?: Record<string, any>;
  SubmitButton: (e: { onSubmit: UseFormHandleSubmit<Record<string, any>> }) => React.JSX.Element;
}) {
  const { handleSubmit, control } = useForm({
    defaultValues
  });

  return (
    <Box>
      <DescriptionBox description={description} />
      <Flex flexDirection={'column'} gap={3}>
        {yourInputField.map((input) => (
          <Box key={input.key}>
            {/* 渲染你的输入组件 */}
            <Controller
              control={control}
              name={input.key}
              render={({ field: { onChange, value } }) => (
                <YourInputComponent
                  value={value}
                  onChange={onChange}
                  isDisabled={submitted}
                />
              )}
            />
          </Box>
        ))}
      </Flex>

      {!submitted && (
        <Flex justifyContent={'flex-end'} mt={4}>
          <SubmitButton onSubmit={handleSubmit} />
        </Flex>
      )}
    </Box>
  );
});

6.2 工作流编辑器节点组件

文件: projects/app/src/pageComponents/app/detail/WorkflowComponents/Flow/nodes/NodeYourNode.tsx

import React, { useMemo } from 'react';
import { type NodeProps } from 'reactflow';
import { Box, Button } from '@chakra-ui/react';
import NodeCard from './render/NodeCard';
import { type FlowNodeItemType } from '@fastgpt/global/core/workflow/type/node.d';
import Container from '../components/Container';
import RenderInput from './render/RenderIn

workflow-interactive-dev

Como adicionar

Cole no README do seu repo

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