@n8n/n8n-nodes-langchain/dist/nodes/agents/Agent/Agent.node.js

"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.Agent = void 0;
const n8n_workflow_1 = require("n8n-workflow");
const AgentV1_node_1 = require("./V1/AgentV1.node");
const AgentV2_node_1 = require("./V2/AgentV2.node");
const AgentV3_node_1 = require("./V3/AgentV3.node");
class Agent extends n8n_workflow_1.VersionedNodeType {
    constructor() {
        const baseDescription = {
            displayName: 'AI Agent',
            name: 'agent',
            icon: 'node:ai-agent',
            iconColor: 'black',
            group: ['transform'],
            description: 'Generates an action plan and executes it. Can use external tools.',
            codex: {
                alias: ['LangChain', 'Chat', 'Conversational', 'Plan and Execute', 'ReAct', 'Tools'],
                categories: ['AI'],
                subcategories: {
                    AI: ['Agents', 'Root Nodes'],
                },
                resources: {
                    primaryDocumentation: [
                        {
                            url: 'https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent/',
                        },
                    ],
                },
            },
            defaultVersion: 3.1,
            builderHint: {
                searchHint: "Wire model/memory/tools/outputParser via the SDK `subnodes` config object using factory functions (`languageModel()`, `memory()`, `tool()`, `outputParser()`). Inside subnodes, reference upstream data with `nodeJson(triggerNode, 'path')`, not `$json` — subnodes do not share the main predecessor's item context.",
                relatedNodes: [
                    {
                        nodeType: 'n8n-nodes-base.aggregate',
                        relationHint: 'Use to combine multiple items together before the agent',
                    },
                    {
                        nodeType: '@n8n/n8n-nodes-langchain.outputParserStructured',
                        relationHint: 'Attach for structured output; reference fields as $json.output.fieldName for use in subsequent nodes (conditions, storing data)',
                    },
                    {
                        nodeType: '@n8n/n8n-nodes-langchain.agentTool',
                        relationHint: 'For multi-agent systems using orchestrator pattern',
                    },
                    {
                        nodeType: '@n8n/n8n-nodes-langchain.memoryBufferWindow',
                        relationHint: 'Required for conversational workflows - connect memory to every agent that needs to recall previous messages in the conversation',
                    },
                ],
                extraTypeDefContent: [
                    {
                        content: `<patterns>
<pattern title="Agent with model, memory, structured output parser">
const chatTrigger = trigger({
  type: '@n8n/n8n-nodes-langchain.chatTrigger',
  version: 1.3,
  config: {
    name: 'Chat Trigger',
    parameters: { public: false },
    output: [{ sessionId: 'chat-session-id', chatInput: 'Hello' }]
  }
});

const model = languageModel({
  type: '@n8n/n8n-nodes-langchain.lmChatOpenAi',
  version: 1.3,
  config: {
    name: 'OpenAI Chat Model',
    parameters: { model: { __rl: true, mode: 'list', value: 'gpt-5.4' } },
    credentials: { openAiApi: { id: 'credId', name: 'OpenAI account' } }
  }
});

const parser = outputParser({
  type: '@n8n/n8n-nodes-langchain.outputParserStructured',
  version: 1.3,
  config: {
    name: 'Output Parser',
    parameters: {
      schemaType: 'fromJson',
      jsonSchemaExample: '{ "score": 75, "tier": "hot" }'
    }
  }
});

const memoryNode = memory({
  type: '@n8n/n8n-nodes-langchain.memoryBufferWindow',
  version: 1.3,
  config: {
    name: 'Conversation Memory',
    parameters: {
      sessionIdType: 'customKey',
      sessionKey: nodeJson(chatTrigger, 'sessionId'),
      contextWindowLength: 10
    }
  }
});

const agent = node({
  type: '@n8n/n8n-nodes-langchain.agent',
  version: 3.1,
  config: {
    name: 'AI Agent',
    parameters: {
      promptType: 'define',
      text: expr('{{ $json.prompt }}'),
      hasOutputParser: true,
      options: { systemMessage: 'You are an expert...' }
    },
    subnodes: { model, memory: memoryNode, outputParser: parser }
  }
});
</pattern>
</patterns>`,
                    },
                ],
            },
        };
        const nodeVersions = {
            1: new AgentV1_node_1.AgentV1(baseDescription),
            1.1: new AgentV1_node_1.AgentV1(baseDescription),
            1.2: new AgentV1_node_1.AgentV1(baseDescription),
            1.3: new AgentV1_node_1.AgentV1(baseDescription),
            1.4: new AgentV1_node_1.AgentV1(baseDescription),
            1.5: new AgentV1_node_1.AgentV1(baseDescription),
            1.6: new AgentV1_node_1.AgentV1(baseDescription),
            1.7: new AgentV1_node_1.AgentV1(baseDescription),
            1.8: new AgentV1_node_1.AgentV1(baseDescription),
            1.9: new AgentV1_node_1.AgentV1(baseDescription),
            2: new AgentV2_node_1.AgentV2(baseDescription),
            2.1: new AgentV2_node_1.AgentV2(baseDescription),
            2.2: new AgentV2_node_1.AgentV2(baseDescription),
            2.3: new AgentV2_node_1.AgentV2(baseDescription),
            3: new AgentV3_node_1.AgentV3(baseDescription),
            3.1: new AgentV3_node_1.AgentV3(baseDescription),
        };
        super(nodeVersions, baseDescription);
    }
}
exports.Agent = Agent;
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