AI agent chat

Connect Lmchatopenai, Memorybufferwindow, Toolserp and more with this n8n workflow. 5 nodes total.

Integrations Used (5)

Lmchatopenai

Memorybufferwindow

Toolserp

Chat

Agent

Workflow Structure (5 nodes)

100%

Langchain.chat Trigger

When chat message received

Langchain.agent

AI Agent

Langchain.lm Chat Open Ai

OpenAI Chat Model

Langchain.memory Buffer Window

Window Buffer Memory

Langchain.tool Serp Api

SerpAPI

Node Types:

default

http

trigger

Requires credentials

Prerequisites

Required Credentials (2)

OpenAI

Used by: OpenAI Chat Model

Docs

Serp

Used by: SerpAPI

Docs

Complexity

Moderate

Some experience helpful. Multiple integrations or logic.

Setup time: ~25 min

Score: 20/100

When to Use This Workflow

AI-Powered Content Creation

Automate content generation, summarization, or analysis using AI capabilities.

Save hours of manual work while maintaining quality and consistency.

Real-time Response

React instantly when events happen - new orders, form submissions, or API calls.

Zero delay between trigger and action for time-sensitive workflows.

Error Reduction

Eliminate human error from routine processes with consistent automation.

Improve accuracy and reliability across your workflows.

workflow.json

{
  "meta": {
    "instanceId": "408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9"
  },
  "nodes": [
    {
      "id": "939bb301-5e12-4d5b-9a56-61a61cca5f0d",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        640,
        460
      ],
      "parameters": {
        "model": "gpt-4o-mini",
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "8gccIjcuf3gvaoEr",
...