mirror of
https://github.com/n8n-io/n8n.git
synced 2024-11-15 17:14:05 -08:00
439 lines
13 KiB
TypeScript
439 lines
13 KiB
TypeScript
import { NodeConnectionType, NodeOperationError } from 'n8n-workflow';
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import type {
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INodeInputConfiguration,
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INodeInputFilter,
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IExecuteFunctions,
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INodeExecutionData,
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INodeType,
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INodeTypeDescription,
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INodeProperties,
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} from 'n8n-workflow';
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import { conversationalAgentProperties } from './agents/ConversationalAgent/description';
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import { conversationalAgentExecute } from './agents/ConversationalAgent/execute';
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import { openAiFunctionsAgentProperties } from './agents/OpenAiFunctionsAgent/description';
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import { openAiFunctionsAgentExecute } from './agents/OpenAiFunctionsAgent/execute';
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import { planAndExecuteAgentProperties } from './agents/PlanAndExecuteAgent/description';
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import { planAndExecuteAgentExecute } from './agents/PlanAndExecuteAgent/execute';
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import { reActAgentAgentProperties } from './agents/ReActAgent/description';
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import { reActAgentAgentExecute } from './agents/ReActAgent/execute';
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import { sqlAgentAgentProperties } from './agents/SqlAgent/description';
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import { sqlAgentAgentExecute } from './agents/SqlAgent/execute';
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import { toolsAgentProperties } from './agents/ToolsAgent/description';
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import { toolsAgentExecute } from './agents/ToolsAgent/execute';
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import { promptTypeOptions, textFromPreviousNode, textInput } from '../../../utils/descriptions';
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// Function used in the inputs expression to figure out which inputs to
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// display based on the agent type
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function getInputs(
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agent: 'toolsAgent' | 'conversationalAgent' | 'openAiFunctionsAgent' | 'reActAgent' | 'sqlAgent',
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hasOutputParser?: boolean,
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): Array<NodeConnectionType | INodeInputConfiguration> {
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interface SpecialInput {
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type: NodeConnectionType;
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filter?: INodeInputFilter;
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required?: boolean;
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}
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const getInputData = (
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inputs: SpecialInput[],
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): Array<NodeConnectionType | INodeInputConfiguration> => {
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const displayNames: { [key: string]: string } = {
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[NodeConnectionType.AiLanguageModel]: 'Model',
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[NodeConnectionType.AiMemory]: 'Memory',
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[NodeConnectionType.AiTool]: 'Tool',
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[NodeConnectionType.AiOutputParser]: 'Output Parser',
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};
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return inputs.map(({ type, filter }) => {
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const isModelType = type === NodeConnectionType.AiLanguageModel;
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let displayName = type in displayNames ? displayNames[type] : undefined;
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if (
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isModelType &&
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['openAiFunctionsAgent', 'toolsAgent', 'conversationalAgent'].includes(agent)
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) {
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displayName = 'Chat Model';
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}
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const input: INodeInputConfiguration = {
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type,
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displayName,
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required: isModelType,
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maxConnections: [NodeConnectionType.AiLanguageModel, NodeConnectionType.AiMemory].includes(
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type as NodeConnectionType,
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)
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? 1
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: undefined,
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};
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if (filter) {
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input.filter = filter;
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}
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return input;
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});
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};
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let specialInputs: SpecialInput[] = [];
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if (agent === 'conversationalAgent') {
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specialInputs = [
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{
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type: NodeConnectionType.AiLanguageModel,
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filter: {
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nodes: [
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'@n8n/n8n-nodes-langchain.lmChatAnthropic',
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'@n8n/n8n-nodes-langchain.lmChatAwsBedrock',
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'@n8n/n8n-nodes-langchain.lmChatGroq',
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'@n8n/n8n-nodes-langchain.lmChatOllama',
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'@n8n/n8n-nodes-langchain.lmChatOpenAi',
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'@n8n/n8n-nodes-langchain.lmChatGoogleGemini',
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'@n8n/n8n-nodes-langchain.lmChatGoogleVertex',
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'@n8n/n8n-nodes-langchain.lmChatMistralCloud',
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'@n8n/n8n-nodes-langchain.lmChatAzureOpenAi',
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],
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},
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},
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{
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type: NodeConnectionType.AiMemory,
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},
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{
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type: NodeConnectionType.AiTool,
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},
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{
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type: NodeConnectionType.AiOutputParser,
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},
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];
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} else if (agent === 'toolsAgent') {
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specialInputs = [
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{
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type: NodeConnectionType.AiLanguageModel,
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filter: {
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nodes: [
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'@n8n/n8n-nodes-langchain.lmChatAnthropic',
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'@n8n/n8n-nodes-langchain.lmChatAzureOpenAi',
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'@n8n/n8n-nodes-langchain.lmChatAwsBedrock',
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'@n8n/n8n-nodes-langchain.lmChatMistralCloud',
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'@n8n/n8n-nodes-langchain.lmChatOllama',
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'@n8n/n8n-nodes-langchain.lmChatOpenAi',
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'@n8n/n8n-nodes-langchain.lmChatGroq',
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'@n8n/n8n-nodes-langchain.lmChatGoogleVertex',
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'@n8n/n8n-nodes-langchain.lmChatGoogleGemini',
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],
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},
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},
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{
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type: NodeConnectionType.AiMemory,
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},
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{
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type: NodeConnectionType.AiTool,
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required: true,
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},
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{
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type: NodeConnectionType.AiOutputParser,
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},
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];
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} else if (agent === 'openAiFunctionsAgent') {
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specialInputs = [
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{
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type: NodeConnectionType.AiLanguageModel,
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filter: {
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nodes: [
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'@n8n/n8n-nodes-langchain.lmChatOpenAi',
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'@n8n/n8n-nodes-langchain.lmChatAzureOpenAi',
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],
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},
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},
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{
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type: NodeConnectionType.AiMemory,
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},
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{
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type: NodeConnectionType.AiTool,
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required: true,
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},
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{
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type: NodeConnectionType.AiOutputParser,
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},
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];
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} else if (agent === 'reActAgent') {
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specialInputs = [
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{
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type: NodeConnectionType.AiLanguageModel,
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},
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{
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type: NodeConnectionType.AiTool,
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},
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{
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type: NodeConnectionType.AiOutputParser,
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},
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];
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} else if (agent === 'sqlAgent') {
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specialInputs = [
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{
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type: NodeConnectionType.AiLanguageModel,
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},
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{
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type: NodeConnectionType.AiMemory,
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},
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];
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} else if (agent === 'planAndExecuteAgent') {
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specialInputs = [
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{
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type: NodeConnectionType.AiLanguageModel,
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},
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{
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type: NodeConnectionType.AiTool,
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},
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{
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type: NodeConnectionType.AiOutputParser,
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},
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];
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}
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if (hasOutputParser === false) {
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specialInputs = specialInputs.filter(
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(input) => input.type !== NodeConnectionType.AiOutputParser,
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);
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}
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return [NodeConnectionType.Main, ...getInputData(specialInputs)];
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}
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const agentTypeProperty: INodeProperties = {
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displayName: 'Agent',
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name: 'agent',
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type: 'options',
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noDataExpression: true,
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// eslint-disable-next-line n8n-nodes-base/node-param-options-type-unsorted-items
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options: [
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{
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name: 'Tools Agent',
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value: 'toolsAgent',
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description:
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'Utilizes structured tool schemas for precise and reliable tool selection and execution. Recommended for complex tasks requiring accurate and consistent tool usage, but only usable with models that support tool calling.',
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},
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{
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name: 'Conversational Agent',
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value: 'conversationalAgent',
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description:
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'Describes tools in the system prompt and parses JSON responses for tool calls. More flexible but potentially less reliable than the Tools Agent. Suitable for simpler interactions or with models not supporting structured schemas.',
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},
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{
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name: 'OpenAI Functions Agent',
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value: 'openAiFunctionsAgent',
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description:
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"Leverages OpenAI's function calling capabilities to precisely select and execute tools. Excellent for tasks requiring structured outputs when working with OpenAI models.",
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},
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{
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name: 'Plan and Execute Agent',
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value: 'planAndExecuteAgent',
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description:
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'Creates a high-level plan for complex tasks and then executes each step. Suitable for multi-stage problems or when a strategic approach is needed.',
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},
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{
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name: 'ReAct Agent',
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value: 'reActAgent',
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description:
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'Combines reasoning and action in an iterative process. Effective for tasks that require careful analysis and step-by-step problem-solving.',
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},
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{
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name: 'SQL Agent',
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value: 'sqlAgent',
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description:
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'Specializes in interacting with SQL databases. Ideal for data analysis tasks, generating queries, or extracting insights from structured data.',
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},
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],
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default: '',
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};
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export class Agent implements INodeType {
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description: INodeTypeDescription = {
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displayName: 'AI Agent',
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name: 'agent',
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icon: 'fa:robot',
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iconColor: 'black',
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group: ['transform'],
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version: [1, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7],
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description: 'Generates an action plan and executes it. Can use external tools.',
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subtitle:
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"={{ { toolsAgent: 'Tools Agent', conversationalAgent: 'Conversational Agent', openAiFunctionsAgent: 'OpenAI Functions Agent', reActAgent: 'ReAct Agent', sqlAgent: 'SQL Agent', planAndExecuteAgent: 'Plan and Execute Agent' }[$parameter.agent] }}",
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defaults: {
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name: 'AI Agent',
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color: '#404040',
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},
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codex: {
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alias: ['LangChain', 'Chat', 'Conversational', 'Plan and Execute', 'ReAct', 'Tools'],
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categories: ['AI'],
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subcategories: {
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AI: ['Agents', 'Root Nodes'],
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},
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resources: {
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primaryDocumentation: [
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{
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url: 'https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent/',
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},
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],
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},
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},
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inputs: `={{
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((agent, hasOutputParser) => {
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${getInputs.toString()};
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return getInputs(agent, hasOutputParser)
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})($parameter.agent, $parameter.hasOutputParser === undefined || $parameter.hasOutputParser === true)
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}}`,
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outputs: [NodeConnectionType.Main],
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credentials: [
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{
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// eslint-disable-next-line n8n-nodes-base/node-class-description-credentials-name-unsuffixed
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name: 'mySql',
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required: true,
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testedBy: 'mysqlConnectionTest',
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displayOptions: {
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show: {
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agent: ['sqlAgent'],
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'/dataSource': ['mysql'],
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},
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},
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},
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{
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name: 'postgres',
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required: true,
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displayOptions: {
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show: {
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agent: ['sqlAgent'],
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'/dataSource': ['postgres'],
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},
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},
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},
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],
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properties: [
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{
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displayName:
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'Tip: Get a feel for agents with our quick <a href="https://docs.n8n.io/advanced-ai/intro-tutorial/" target="_blank">tutorial</a> or see an <a href="/templates/1954" target="_blank">example</a> of how this node works',
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name: 'notice_tip',
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type: 'notice',
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default: '',
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displayOptions: {
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show: {
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agent: ['conversationalAgent', 'toolsAgent'],
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},
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},
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},
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// Make Conversational Agent the default agent for versions 1.5 and below
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{
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...agentTypeProperty,
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options: agentTypeProperty?.options?.filter(
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(o) => 'value' in o && o.value !== 'toolsAgent',
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),
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displayOptions: { show: { '@version': [{ _cnd: { lte: 1.5 } }] } },
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default: 'conversationalAgent',
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},
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// Make Tools Agent the default agent for versions 1.6 and above
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{
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...agentTypeProperty,
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displayOptions: { show: { '@version': [{ _cnd: { gte: 1.6 } }] } },
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default: 'toolsAgent',
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},
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{
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...promptTypeOptions,
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displayOptions: {
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hide: {
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'@version': [{ _cnd: { lte: 1.2 } }],
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agent: ['sqlAgent'],
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},
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},
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},
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{
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...textFromPreviousNode,
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displayOptions: {
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show: { promptType: ['auto'], '@version': [{ _cnd: { gte: 1.7 } }] },
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// SQL Agent has data source and credentials parameters so we need to include this input there manually
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// to preserve the order
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hide: {
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agent: ['sqlAgent'],
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},
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},
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},
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{
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...textInput,
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displayOptions: {
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show: {
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promptType: ['define'],
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},
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hide: {
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agent: ['sqlAgent'],
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},
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},
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},
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{
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displayName: 'For more reliable structured output parsing, consider using the Tools agent',
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name: 'notice',
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type: 'notice',
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default: '',
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displayOptions: {
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show: {
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hasOutputParser: [true],
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agent: [
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'conversationalAgent',
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'reActAgent',
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'planAndExecuteAgent',
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'openAiFunctionsAgent',
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],
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},
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},
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},
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{
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displayName: 'Require Specific Output Format',
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name: 'hasOutputParser',
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type: 'boolean',
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default: false,
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noDataExpression: true,
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displayOptions: {
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hide: {
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'@version': [{ _cnd: { lte: 1.2 } }],
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agent: ['sqlAgent'],
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},
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},
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},
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{
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displayName: `Connect an <a data-action='openSelectiveNodeCreator' data-action-parameter-connectiontype='${NodeConnectionType.AiOutputParser}'>output parser</a> on the canvas to specify the output format you require`,
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name: 'notice',
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type: 'notice',
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default: '',
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displayOptions: {
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show: {
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hasOutputParser: [true],
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agent: ['toolsAgent'],
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},
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},
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},
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...toolsAgentProperties,
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...conversationalAgentProperties,
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...openAiFunctionsAgentProperties,
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...reActAgentAgentProperties,
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...sqlAgentAgentProperties,
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...planAndExecuteAgentProperties,
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],
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};
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async execute(this: IExecuteFunctions): Promise<INodeExecutionData[][]> {
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const agentType = this.getNodeParameter('agent', 0, '') as string;
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const nodeVersion = this.getNode().typeVersion;
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if (agentType === 'conversationalAgent') {
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return await conversationalAgentExecute.call(this, nodeVersion);
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} else if (agentType === 'toolsAgent') {
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return await toolsAgentExecute.call(this);
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} else if (agentType === 'openAiFunctionsAgent') {
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return await openAiFunctionsAgentExecute.call(this, nodeVersion);
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} else if (agentType === 'reActAgent') {
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return await reActAgentAgentExecute.call(this, nodeVersion);
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} else if (agentType === 'sqlAgent') {
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return await sqlAgentAgentExecute.call(this);
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} else if (agentType === 'planAndExecuteAgent') {
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return await planAndExecuteAgentExecute.call(this, nodeVersion);
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}
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throw new NodeOperationError(this.getNode(), `The agent type "${agentType}" is not supported`);
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}
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}
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