Multi-AI agent router: compare OpenAI, Anthropic & Groq responses with webhooks
Needs changesWhat this workflow does
This AI workflow has 16 nodes and runs when an HTTP POST request hits its webhook URL. Along the way it connects OpenAI Chat Model, Groq Chat Model and Anthropic Chat Model.
How it runs
Trigger: When an HTTP POST request hits its webhook URL.
- Extract Input Parameters (Edit Fields (Set)): sets 3 fields: input_data, task_type, priority
- Dynamic LLM Router (Code): runs custom JavaScript code
- Route to Provider (Switch): routes items into 3 branches
- Merge: merges the data from its input branches
- OpenAI Agent (AI Agent): runs an AI agent, with model: OpenAI Model; output parser: Output Parser
- Anthropic Agent (AI Agent): runs an AI agent, with model: Anthropic Model; output parser: Output Parser
- Groq Agent (AI Agent): runs an AI agent, with model: Groq Model; output parser: Output Parser
- Calculate Performance Metrics (Code): runs custom JavaScript code
- Respond to Webhook: sends the response back to the webhook caller
Services it uses
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in OpenAI Agent (v1.7), Anthropic Agent (v1.7), Groq Agent (v1.7): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) OpenAI Agent (v1.7), Anthropic Agent (v1.7), Groq Agent (v1.7) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (11)
- Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Webhook
n8n-nodes-base.webhook - Edit Fields (Set)
n8n-nodes-base.set - Code
n8n-nodes-base.code - Switch
n8n-nodes-base.switch - AI Agent
@n8n/n8n-nodes-langchain.agent - Merge
n8n-nodes-base.merge - Respond to Webhook
n8n-nodes-base.respondToWebhook - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Groq Chat Model
@n8n/n8n-nodes-langchain.lmChatGroq - Anthropic Chat Model
@n8n/n8n-nodes-langchain.lmChatAnthropic
From the author
Introduction This workflow connects to OpenAI, Anthropic, and Groq, processing requests in parallel with automatic performance metrics. Ideal for testing speed, cost, and quality across models. How It Works Webhooks trigger parameter extraction and routing.…