Block 1 - OpenRouter Chat Model
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatOpenRouter - lmChatOpenRouter
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
A plug and play n8n workflow that adds LLM powered reasoning, planning, and action to your automations — with prompts, schemas, and full agent logic included. Ever wish...
@n8n/n8n-nodes-langchain.lmchatopenrouter, @n8n/n8n-nodes-langchain.outputparserstructured, @n8n/n8n-nodes-langchain.outputparserautofixing, n8n-nodes-base.webhook, n8n-nodes-base.noop, n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.code
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Lucas Dias.
Original n8n.io source🧠 A plug-and-play n8n workflow that adds LLM-powered reasoning, planning, and action to your automations — with prompts, schemas, and full agent logic included.
Ever wish your n8n flows could think before they act?
Now they can. Say hello to the ultimate agent-based upgrade:
"Think → Plan → Act" – fully automated. Fully intelligent.⚡
🧩 What Is This? This product is a ready-to-use AI-powered workflow template for n8n, featuring a smart “Thinking Agent” that:
🧠 Analyzes tasks 📋 Generates a step-by-step plan 🛠️ Executes actions intelligently 🧾 Returns structured JSON outputs for your next steps
Inspired by the Hugging Face agent architecture, this template gives your automations a brain before they press the red button. 🔴✅
A clean 2-step process: THINK mode → Generates structured reasoning (goal, subgoals, tools, assumptions) ACT mode → Executes subgoals step-by-step using tools and AI.
🧬 What's Inside? This isn’t just a flow — it’s a framework. You get: 🔹 Modular Agent Loop 🔹 A demonstration workflow
📝 Requirements 🔹 OpenRouter API Key (or any other provider like OpenAI, groq...)
🔹 Built-in Parsers 🧾 Structured JSON parser for reliable outputs 🪄 Natural language and unstructured parsing fallback
🛠️ Plug in your own goals, tools, and OpenRouter keys
📦 Includes a demo (e.g., “get the weather”) to get started fast
💡 Why You'll Love It ✅ Plug & Play – Drop into any existing n8n flow ✅ Tool-Aware Reasoning – Plans include which tool to use and why ✅ Composable – Build workflows like agents: Reason → Plan → Execute ✅ Customizable by anyone – Even your intern can tweak the prompts
⚙️ Agent customization
🔹 Feel free to customize the agent settings by changing the Config node. Here's the default configuration:
const config = {
THINK: {
CONTEXT: ``, // Add the necessary context to the AI.
CONSTRAINTS: [`Rule 1`, `Rule 2`], // here are the rules that your AI should follow
TOOLS: [
{
tool: "",
description: "",
},
], // add here the list of the tools that the AI will call in your backend or workflow.
},
};
return {
json: {
config: config,
input: $input.last().json,
},
};
After updating the configuration file, you will see the AI reasoning for your input. Feel free to connect with any other node creating smart tasks!
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
Showing the first 24 of 33 workflow blocks. Download the JSON for the full node graph.
| Workflow | 🧠 Build AI agents with Think-Plan-Act architecture using Llama-4 reasoning |
|---|---|
| Complexity | advanced |
| Nodes | 33 |
| Categories | Engineering, AI Chatbot |
| Author | Lucas Dias |
| Published | 08 Apr 2025 |
Use the JSON export at /data/workflows/3489/3489.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
A plug and play n8n workflow that adds LLM powered reasoning, planning, and action to your automations — with prompts, schemas, and full agent logic included. Ever wish...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Engineering, AI Chatbot use case.