Overview
The AI Council is theLAB's multi-perspective AI response system. Instead of relying on a single AI model, it queries 5 specialized models running on Ollama across your local network, then synthesizes their responses into a unified consensus using Gemma3:27b.
Each council member has a distinct role and personality, providing different perspectives on any question. This approach helps overcome single-model biases and produces more well-rounded, thoroughly analyzed answers.
Council Members
The AI Council consists of 5 specialized models, each with a unique role. Models are distributed across localhost and 192.168.1.100:
Architecture
The system uses a PHP proxy (ollama_proxy.php) to route requests to Ollama instances across the network:
Response Modes
The Council supports two response modes selectable via dropdown:
Sequential Mode
Models respond one at a time in order (1→2→3→4→5). Each response streams in real-time with a typing cursor. Good for following the "conversation" between council members and seeing how each builds on the previous.
Parallel Mode
All models are queried simultaneously using Promise.all(). Faster overall response time since all models work at once, but responses appear together when all finish.
// Council member configuration
const COUNCIL_MEMBERS = [
{
id: 'adi',
name: 'Gemma3',
fullName: 'Gemma3:12b',
endpoint: 'localhost',
model: 'gemma3:12b',
role: 'Primary Assistant',
description: 'Comprehensive analysis and detailed responses',
avatar: 'adi'
},
{
id: 'tinyllama',
name: 'Qwen3',
fullName: 'Qwen3:4b',
endpoint: '192.168.1.100',
model: 'qwen3:4b',
role: 'Quick Insights',
description: 'Fast, concise responses and key insights',
avatar: 'tinyllama'
},
// ... wizardlm, historian, strategos
];Consensus Engine
After all 5 council members respond, the Consensus Engine synthesizes their perspectives into a unified answer. This calls consensus.php which uses Gemma3:27b - a larger model capable of understanding and reconciling multiple viewpoints.
The consensus is displayed in a special green-bordered panel with streaming output. Once complete, a speaker button appears to play the consensus via TTS.
Role Prompts
Each council member receives a role-specific system prompt that shapes their personality:
const rolePrompts = {
adi: `You are Gemma3, the primary AI assistant. Provide
comprehensive, well-structured responses with clear
explanations and examples when helpful.`,
tinyllama: `You are Qwen3, focused on providing quick, concise
insights. Give clear, direct answers that capture
the key points efficiently.`,
wizardlm: `You are WizardLM, the critical analyst. Question
assumptions, present alternative viewpoints, and
provide constructive criticism.`,
historian: `You are Phi3, specializing in historical context.
Relate topics to historical precedents and trends.`,
strategos: `You are GPT-OSS STRATEGOS, the Council's staff
planner. Turn problems into clear, executable plans
with assumptions, numbered steps, verification checks,
rollback paths, and risks. Prefer commands, exact
paths, and short rationale.`
};Ollama Proxy
The ollama_proxy.php handles all communication with Ollama instances, supporting streaming responses via Server-Sent Events:
<?php
// ollama_proxy.php
header('Content-Type: text/event-stream');
header('Cache-Control: no-cache');
$input = json_decode(file_get_contents('php://input'), true);
$endpoint = $input['endpoint'] ?? 'localhost';
$model = $input['model'] ?? 'gemma3:12b';
$prompt = $input['prompt'] ?? '';
$ollamaUrl = "http://{$endpoint}:11434/api/generate";
$payload = json_encode([
'model' => $model,
'prompt' => $prompt,
'stream' => true
]);
$ch = curl_init($ollamaUrl);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, $payload);
curl_setopt($ch, CURLOPT_HTTPHEADER, ['Content-Type: application/json']);
curl_setopt($ch, CURLOPT_WRITEFUNCTION, function($ch, $data) {
echo $data;
ob_flush();
flush();
return strlen($data);
});
curl_exec($ch);
echo '[STREAM_END]';
curl_close($ch);Setup Guide
1. Install Ollama on Your Servers
# Install Ollama
curl -fsSL https://ollama.com/install.sh | sh
# Pull required models
ollama pull gemma3:12b
ollama pull gemma3:27b # For consensus
ollama pull qwen3:4b
ollama pull wizardlm2:7b
ollama pull phi3:3.8b
# Enable network access
sudo systemctl edit ollama
# Add: Environment="OLLAMA_HOST=0.0.0.0"
sudo systemctl restart ollama2. Deploy PHP Files
/var/www/ai-council/
├── index.php # Main UI (Tailwind + vanilla JS)
├── ollama_proxy.php # Ollama API proxy with streaming
└── consensus.php # Consensus engine (Gemma3:27b)3. Update Endpoints
Edit the COUNCIL_MEMBERS array to match your network. Change endpoint values to point to your Ollama servers.