This workflow follows the Agent → Chat Trigger recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"name": "My workflow",
"nodes": [
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"typeVersion": 1.4,
"position": [
-256,
-48
],
"id": "715bdb04-8c6c-4d24-a184-5ce644f231a6",
"name": "When chat message received"
},
{
"parameters": {
"promptType": "define",
"text": "hellonhi",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 3.1,
"position": [
-48,
-48
],
"id": "da849eb7-b65c-4daa-a07e-025239842509",
"name": "AI Agent"
},
{
"parameters": {
"path": "025cb870-9484-48b2-8e93-3bcfc8b0c656",
"options": {}
},
"type": "n8n-nodes-base.webhook",
"typeVersion": 2.1,
"position": [
-560,
144
],
"id": "a4edb0c8-4986-4ff9-af7f-ddb9dcd495ad",
"name": "Webhook"
},
{
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "claude-sonnet-4-5-20250929",
"cachedResultName": "Claude Sonnet 4.5"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
"typeVersion": 1.3,
"position": [
-64,
144
],
"id": "7f3a5603-980e-4a35-8ce9-3bd948547b82",
"name": "Anthropic Chat Model"
}
],
"connections": {
"When chat message received": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"Anthropic Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1",
"binaryMode": "separate"
},
"versionId": "f90366a3-d77d-494a-851d-179544d84f91",
"meta": {
"templateCredsSetupCompleted": true
},
"id": "L9iCJtMWiI9E0hQG",
"tags": []
}
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
Trial. Uses chatTrigger, agent, lmChatAnthropic. Chat trigger; 4 nodes.
Source: https://github.com/nishchithkulal/discord-reminder-bot/blob/dd5338ea5f3760b55db2422afc6f0d44bb41badd/workflows/trial.json — original creator credit. Request a take-down →
Related workflows
Workflows that share integrations, category, or trigger type with this one. All free to copy and import.
This workflow is designed to intelligently route user queries to the most suitable large language model (LLM) based on the type of request received in a chat environment. It uses structured classifica
This workflow dynamically chooses between two new powerful Anthropic models — Claude Opus 4 and Claude Sonnet 4 — to handle user queries, based on their complexity and nature, maintaining scalability
This automation helps marketing and sales teams define their Ideal Customer Profile (ICP) using real LinkedIn profiles of current high-fit customers. By enriching and analyzing profile data, it genera
XML (Extensible Markup Language) engineering is a foundational technique in modern software and system architecture. It enables the structured creation, storage, and exchange of messages—such as syste
This workflow builds a conversational AI chatbot agent using Claude 3.7 Sonnet model with the new . It enhances standard LLM capabilities with Anthropic’s features: Web Search and Think: