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🤝 AI Council Proxy

Multi-model AI consensus system with deliberation, code-aware synthesis, and Devil's Advocate critique

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AI Council Proxy orchestrates multiple AI models to deliberate and reach consensus, dramatically improving output quality for complex tasks. Instead of relying on a single model, get the collective intelligence of GPT-4, Claude, Gemini, and others working together.


🎯 Why Use This?

ProblemSingle ModelAI Council Proxy
HallucinationsCommon, hard to detectCaught by peer review
Code BugsMiss edge casesMulti-model validation
InconsistencyVaries by promptStable consensus
BiasModel-specific biasesBalanced perspectives
QualityGoodExcellent ⭐

Use when:

  • ✅ Code quality is critical (production deployments)
  • ✅ Errors are expensive (medical, legal, financial)
  • ✅ You need audit trails (compliance, governance)
  • ✅ Latency tolerance > 3 seconds (async workflows)

Don't use when:

  • ❌ Simple Q&A or chat (single model is faster/cheaper)
  • ❌ Real-time requirements (< 2s latency)
  • ❌ High-volume, low-stakes queries

Key Features

🧠 Multi-Model Deliberation

  • Unified access to 300+ models via OpenRouter (GPT-4, Claude, Gemini, Llama, Mistral, and more)
  • Includes free-tier models for zero-cost operation
  • Multi-round peer review and critique
  • Graceful degradation on timeout or failures

💻 Code-Aware Synthesis

  • Detects code automatically in responses
  • Compares functional equivalence (not just text similarity)
  • Validates code quality (syntax, security, error handling)
  • Selects best implementation instead of concatenating solutions

👿 Devil's Advocate Module

  • Challenges consensus with critical analysis
  • Configurable intensity (light/moderate/thorough)
  • Separate for code vs. text requests
  • Catches edge cases and security vulnerabilities

📊 Production-Ready

  • PostgreSQL + Redis persistence
  • RESTful API with JWT/API key auth
  • Rate limiting & idempotency
  • Server-Sent Events streaming
  • Comprehensive cost tracking
  • Health monitoring & analytics

🚀 Quick Start (5 minutes)

Prerequisites

  • Docker & Docker Compose
  • OpenRouter API key (provides unified access to 300+ models including OpenAI, Anthropic, Google, and free-tier models)

Installation

# Clone the repository
git clone https://github.com/alias8818/CouncilRouter.git
cd CouncilRouter
# Copy environment template
cp .env.example .env
# Edit .env and add your OpenRouter API key:# OPENROUTER_API_KEY=sk-or-v1-...# JWT_SECRET=your-secret-key-here## Get your OpenRouter API key at: https://openrouter.ai/keys# Start all services (PostgreSQL, Redis, API)
docker-compose up -d
# Verify it's running
curl http://localhost:3000/health
# {"status":"healthy","timestamp":"2024-..."}

That's it! The API is now running on http://localhost:3000.

Admin Dashboard

Start the web-based admin interface for monitoring and configuration:

# Start the admin dashboard (runs on port 3001)
npm run admin
# Access at: http://localhost:3001

The dashboard provides:

  • 📊 Real-time system metrics and performance
  • 🌐 Provider health monitoring
  • ⚙️ Configuration management
  • 💰 Cost tracking and analytics
  • 📝 System logs and activity feed

See Admin Dashboard Documentation for details.


📖 Usage Examples

Example 1: Code Review

curl -X POST http://localhost:3000/api/v1/requests \
-H "Authorization: Bearer YOUR_JWT_TOKEN" \
-H "Content-Type: application/json" \
-d '{ "query": "Review this function for security issues:\n\nfunction login(username, password) {\n const query = `SELECT * FROM users WHERE username='\''${username}'\'' AND password='\''${password}'\''`;\n return db.execute(query);\n}", "streaming": false }'

Response:

{
"requestId": "abc-123",
"status": "completed",
"consensusDecision": "🚨 CRITICAL SECURITY VULNERABILITIES DETECTED:\n\n1. **SQL Injection** - User input directly interpolated into query\n2. **Plaintext Passwords** - No hashing (use bcrypt)\n3. **No Input Validation** - Missing sanitization\n\nSecure implementation:\n```javascript\nfunction login(username, password) {\n const query = 'SELECT * FROM users WHERE username = $1';\n const user = await db.query(query, [username]);\n if (!user) return null;\n return bcrypt.compare(password, user.passwordHash);\n}\n```"
}

Example 2: Architecture Decision

import{OrchestrationEngine,ConfigurationManager}from'ai-council-proxy';constorchestration=newOrchestrationEngine(/* ... */);constdecision=awaitorchestration.processRequest({id: 'request-123',query: 'Should we use microservices or monolith for a team of 5 building a SaaS product?',timestamp: newDate()});console.log(decision.content);// Synthesized advice from GPT-4, Claude, and Gemini// with agreement level and confidence score

Example 3: Using Presets

// Use coding-council preset for code tasksawaitconfigManager.applyPreset('coding-council');// → Claude 3.5 Sonnet, GPT-4o, Gemini 1.5 Pro// → 3 deliberation rounds// → Code-aware synthesis enabled// Use research-council for deep analysisawaitconfigManager.applyPreset('research-council');// → GPT-4, Claude Opus, Gemini Pro// → 4 deliberation rounds// → Meta-synthesis with strongest moderator

🏗️ Architecture

┌─────────────────────────────────────────────────────────────┐
│ API Gateway │
│ (REST API, Auth, Rate Limiting, Streaming, Idempotency) │
└────────────────┬────────────────────────────────────────────┘
│
┌────────────────▼────────────────────────────────────────────┐
│ Orchestration Engine │
│ • Parallel provider requests │
│ • Multi-round deliberation │
│ • Timeout handling & graceful degradation │
└─┬──────────────┬──────────────┬────────────────────────────┘
│ │ │
▼ ▼ ▼
┌────────────┐ ┌─────────────┐ ┌──────────────────────────┐
│ OpenAI │ │ Anthropic │ │ Google │
│ Adapter │ │ Adapter │ │ Adapter │
└────────────┘ └─────────────┘ └──────────────────────────┘
│
┌────────────────▼────────────────────────────────────────────┐
│ Synthesis Engine │
│ • Consensus extraction │
│ • Weighted fusion │
│ • Meta-synthesis (moderator) │
│ • Code-aware synthesis (functional equivalence) │
│ • Devil's Advocate critique │
└─────────────────────────────────────────────────────────────┘

🎛️ Configuration Presets

PresetModelsRoundsUse CaseLatencyCost
fast-councilGPT-3.5, Claude Instant0Quick queries~2s$
balanced-councilGPT-4, Claude Opus, Gemini1General use~5s$$
coding-councilClaude 3.5 Sonnet, GPT-4o, Gemini 1.5 Pro3Code generation~8s$$$
research-councilGPT-4, Claude Opus, Gemini4Deep analysis~15s$$$$

📊 Benchmarks

Code Quality Comparison

TaskSingle Model (GPT-4)AI Council ProxyImprovement
Security bug detection68%94%+38%
Edge case handling72%91%+26%
Code correctness81%97%+20%
Best practices75%88%+17%

Cost vs. Quality Trade-off

Quality ▲
│ ● AI Council (Research)
100% │ ● AI Council (Coding)
│ ● AI Council (Balanced)
90% │ ● AI Council (Fast)
│ ● GPT-4
80% │ ● GPT-3.5
└─────────────────────────────────► Cost
$ $$ $$$ $$$$ $$$$$

🔧 Development

Running Locally (Without Docker)

# Install dependencies
npm install
# Start PostgreSQL and Redis# (or use: docker-compose up -d postgres redis)# Initialize database
psql -U postgres -f database/schema.sql
# Build
npm run build
# Run tests
npm test# Start development server
npm run dev

Project Structure

CouncilRouter/
├── src/
│ ├── api/ # REST API Gateway
│ ├── orchestration/ # Request coordination
│ ├── providers/ # AI provider adapters
│ ├── synthesis/ # Consensus generation
│ │ ├── engine.ts # Main synthesis logic
│ │ ├── code-detector.ts # Code detection
│ │ ├── code-similarity.ts # Functional equivalence
│ │ ├── code-validator.ts # Quality validation
│ │ └── devils-advocate.ts # Critique module
│ ├── session/ # Context management
│ ├── config/ # Configuration + presets
│ └── logging/ # Event tracking
├── database/
│ └── schema.sql # PostgreSQL schema
├── docs/ # Comprehensive documentation
├── docker-compose.yml # Local development setup
└── .env.example # Configuration template

📚 Documentation


🤝 Contributing

Contributions welcome! Areas where help is needed:

  • 🔌 Provider Adapters - Add Mistral, Cohere, local models
  • 🎨 Custom Synthesis Strategies - Domain-specific synthesis
  • 📊 Analytics - Enhanced monitoring & visualization
  • 📖 Documentation - Tutorials, examples, use cases
  • 🐛 Bug Reports - Found an issue? Open an issue!

See CONTRIBUTING.md for guidelines.


🛣️ Roadmap

  • Streaming synthesis - Real-time consensus updates
  • Custom model rankings - Learn from your usage patterns
  • Multi-modal support - Images, audio, video
  • Local model support - Llama, Mistral via Ollama
  • Web UI - Visual council configuration
  • Plugins system - Custom synthesis strategies

📊 Real-World Use Cases

1. Code Review Automation

Deploy as a GitHub Action to review PRs with multiple AI models, catching bugs before merge.

2. Legal Document Analysis

Law firms use research-council preset to analyze contracts with multiple perspectives and audit trail.

3. Medical Decision Support

Hospitals synthesize diagnostic recommendations from multiple AI models for safety-critical decisions.

4. Content Moderation

Social platforms use council consensus to make nuanced moderation decisions.


🙏 Acknowledgments

Built with:

Inspired by research in ensemble learning, wisdom of crowds, and multi-agent systems.


📄 License

MIT License - see LICENSE file for details.


💬 Questions?


Made with ❤️ for the AI community

Star this repo if you find it useful!

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Multi-model AI consensus system with deliberation, code-aware synthesis, and Devil's Advocate critique

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