Dynamically Switch Between LLMs

Name: Dynamically Switch Between LLMs
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Author: Free N8N

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AI / Machine Learningaiautomationdynamiclanguage modelllmopenai

Switch between different LLM models dynamically based on conditions.

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About This Workflow

Overview

This workflow demonstrates how to dynamically select and utilize different Large Language Models (LLMs) within an n8n automation. It allows you to switch between various OpenAI models based on an index, providing flexibility for different tasks and cost optimizations.

Key Features

Dynamically select LLM models using a code node.
Route requests to specific LLM nodes based on selected model.
Handles potential errors during LLM selection and execution.
Allows for conditional logic based on LLM response quality.

How To Use

Import this workflow into your n8n instance.
Configure the OpenAI API credentials by clicking on the relevant nodes and entering your API key.
The 'Set LLM index' node determines which LLM will be used. You can manually set the llm_index or use an expression to dynamically determine it.
The workflow will then attempt to use the selected LLM for processing.

Apps Used

automation

dynamic

language model

llm

openai

Workflow JSON

{
  "id": "23b16797-729b-49c7-aa53-bbdddef460a9",
  "name": "Dynamically Switch Between LLMs",
  "nodes": 0,
  "category": "AI / Machine Learning",
  "status": "active",
  "version": "1.0.0"
}

Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.