model-council

name	model-council
description	Multi-model consensus system — send a query to 3+ different LLMs via OpenRouter simultaneously, then a judge model evaluates all responses and produces a winner, reasoning, and synthesized best answer. Like having a board of AI advisors. Use for important decisions, code review, research verification.
homepage	https://www.agxntsix.ai

Model Council 🏛️

Get consensus from multiple AI models on any question.

Send your query to 3+ different LLMs simultaneously via OpenRouter. A judge model evaluates all responses and produces a winner, reasoning, and synthesized best answer.

When to Use

• Important decisions — Don't trust one model's opinion
• Code review — Get multiple perspectives on architecture choices
• Research verification — Cross-check facts across models
• Creative work — Compare writing styles and pick the best
• Debugging — When one model is stuck, others might see the issue

How It Works

Your Question
    ├──→ Claude Sonnet 4    ──→ Response A
    ├──→ GPT-4o             ──→ Response B
    └──→ Gemini 2.0 Flash   ──→ Response C
                                    │
                              Judge (Opus) evaluates all
                                    │
                              ├── Winner + Reasoning
                              ├── Synthesized Best Answer
                              └── Cost Breakdown

Quick Start

# Basic usage
python3 {baseDir}/scripts/model_council.py "What's the best database for a real-time analytics dashboard?"


python3 {baseDir}/scripts/model_council.py --models  


python3 {baseDir}/scripts/model_council.py --judge  


python3 {baseDir}/scripts/model_council.py --json 


python3 {baseDir}/scripts/model_council.py --max-tokens 2000