Multi-AI agent router: compare OpenAI, Anthropic & Groq responses with webhooks

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. Three AI agents run simultaneously with memory and parsing. Responses merge with detailed metrics.

Workflow Template

Webhook → Extract Parameters → Router ├→ OpenAI Agent ├→ Anthropic Agent ├→ Groq Agent → Merge → Metrics → Respond

Workflow Steps

1. Webhook receives POST with prompt and settings.
2. Parameters extracted and validated.
3. Router directs by cost, latency, or type.
4. AI agents run in parallel.
5. Results merged with metadata.
6. Metrics compute time, cost, and quality.
7. Response returns outputs and recommendation.

Setup Instructions

1. Activate Webhook with authentication.
2. Add API keys for all providers.
3. Define models, tokens, and temperature.
4. Adjust Router logic for selection.
5. Tune Metrics scoring formulas.

Prerequisites

• n8n v1.0+ instance
• API keys: OpenAI, Anthropic, Groq
• HTTP client for testing

Customization

Add providers like Gemini or Azure OpenAI. Enable routing by cost or performance.

Benefits

Auto-select efficient providers and compare model performance in real time.