aegisai / docs / GEMINI_3_FEATURES.md
GEMINI_3_FEATURES.md
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🚀 AegisAI Quickstart Guide

Get AegisAI running with Gemini 3.0 in 5 minutes.

⚡ Prerequisites

📦 Installation

Step 1: Clone Repository (30 seconds)

git clone https://github.com/Thimethane/aegisai.git
cd aegisai

Step 2: Environment Setup (1 minute)

# Create environment file
cp .env.example .env

# Edit .env and add your Gemini API key
# GEMINI_API_KEY=your_gemini_3_api_key_here

Get your Gemini 3 API key:

  1. Visit https://aistudio.google.com/apikey
  2. Click "Get API key"
  3. Copy the key
  4. Paste into .env file

Step 3: Frontend Setup (2 minutes)

cd frontend

# Install dependencies
npm install

# Create frontend environment
echo "VITE_GEMINI_API_KEY=your_gemini_3_api_key_here" > .env.local

# Replace with your actual API key

Step 4: Launch! (1 minute)

# Start development server
npm run dev

🎉 Open http://localhost:3000

✅ Verify Gemini 3 Integration

Check Console Output

You should see:

✓ Gemini 3.0 Flash initialized
✓ Model: gemini-3-flash-preview
✓ Context window: 1,000,000 tokens
✓ Deep Think mode: Available
✓ Thought signatures: Enabled

Test Camera Access

  1. Browser will request camera permission → Click Allow
  2. Video feed should appear with HUD overlay
  3. Click "ACTIVATE AEGIS" button

Verify AI Analysis

After 4 seconds, console should show:

🔍 Analyzing frame #1 with Gemini 3 Flash...
✓ Analysis complete (1.2s)
{
  incident: false,
  type: "normal",
  confidence: 92,
  model_used: "gemini-3-flash-preview",
  thinking_level: "low",
  tokens_used: 456
}

🎯 Quick Test

Test 1: Normal Behavior

Action: Sit normally, type on keyboard

Expected:

  • ✅ No incident detected
  • ✅ Type: "normal"
  • ✅ Confidence: 80-95%
  • ✅ Model: Gemini 3 Flash

Test 2: Threat Detection

Action: Make gun gesture with hand

Expected (within 8 seconds):

  • ✅ Incident: true
  • ✅ Type: "violence" or "suspicious_behavior"
  • ✅ Red border on video
  • ✅ Alert sound plays
  • ✅ Response plan generated

Test 3: Deep Think Mode

Action: Trigger incident, then check console

Expected:

🧠 Escalating to Deep Think mode...
✓ Model: gemini-3-pro-preview
✓ Thinking level: high
✓ Thought process: "Evaluating three scenarios: (1) Authorized...
   (2) Potential threat... (3) False positive... Cross-referencing
   historical patterns... Conclusion: Genuine threat detected."

🎨 Dashboard Overview

┌─────────────────────────────────────────────────────────────┐
│  AEGISAI                               🟢 SYSTEM ONLINE     │
├─────────────────────────────────────────────────────────────┤
│ 📊 Scans: 42  │ 🚨 Incidents: 3 │ ⚡ Load: 24% │ 🎯 ACTIVE │
├─────────────────────────────────────────────────────────────┤
│                    │                                         │
│   📹 VIDEO FEED    │    📈 THREAT ANALYSIS CHART            │
│                    │                                         │
│   [Live Camera]    │    💡 AI THOUGHT PROCESS               │
│   + HUD Overlay    │    "Subject exhibits weapon posture... │
│                    │     Cross-referencing 45 min history"   │
│                    │                                         │
│                    │    📋 LATEST INFERENCE                  │
│                    │    Type: Violence | Conf: 94%          │
│                    │                                         │
│                    │    💬 EVENT LOG                         │
│                    │    [12:34:56] ALRT @violence           │
└─────────────────────────────────────────────────────────────┘

🔧 Configuration

Enable Deep Think Mode

// frontend/src/constants.ts

export const CONFIG = {
  // Use Gemini 3 Pro for all analysis
  DEFAULT_MODEL: 'gemini-3-pro-preview',
  
  // Enable extended reasoning
  DEFAULT_THINKING_LEVEL: 'high',
  
  // Show AI's thought process
  ENABLE_THOUGHT_TRANSPARENCY: true,
  
  // High-quality image analysis
  MEDIA_RESOLUTION: 'high'
};

Cost Optimization Mode

export const CONFIG = {
  // Use faster, cheaper Gemini 3 Flash
  DEFAULT_MODEL: 'gemini-3-flash-preview',
  
  // Quick analysis
  DEFAULT_THINKING_LEVEL: 'low',
  
  // Standard quality
  MEDIA_RESOLUTION: 'medium'
};

🐳 Docker Alternative

Prefer containers? One command deployment:

# Build and run
docker-compose up -d

# Check status
docker-compose ps

# View logs
docker-compose logs -f

Access at http://localhost:3000

🆘 Troubleshooting

Issue: "Gemini API Key Invalid"

Solution:

# Verify key is set
cat .env | grep GEMINI_API_KEY

# Ensure no extra quotes or spaces
GEMINI_API_KEY=AIzaSy...  # Correct
GEMINI_API_KEY="AIzaSy..." # Wrong (remove quotes)

Issue: Camera Not Working

Solution:

  1. Check browser permissions: chrome://settings/content/camera
  2. Use HTTPS (camera requires secure context)
  3. Try different browser (Chrome/Edge recommended)

Issue: "Model Not Found"

Solution:

# Ensure using Gemini 3 models
# Check frontend/src/services/geminiService.ts

const MODEL_NAME = 'gemini-3-flash-preview';  // Correct
// NOT 'gemini-2.0-flash-exp' (old model)

Issue: Console Shows Errors

Solution:

# Clear cache and reinstall
rm -rf node_modules package-lock.json
npm install
npm run dev

📊 Performance Expectations

Normal Operation (Gemini 3 Flash)

Metric Expected Value
Frame analysis time 1-2 seconds
Accuracy 90-94%
False positives < 8%
Cost per hour (900 frames) ~$0.18
Memory usage < 300MB

Deep Think Mode (Gemini 3 Pro)

Metric Expected Value
Frame analysis time 3-5 seconds
Accuracy 94-96%
False positives < 5%
Cost per hour ~$2.88
Memory usage < 400MB

🎓 Next Steps

Learn More

Production Deployment

Development

✅ Success Checklist

Before moving to production, verify:

  • ✅ Gemini 3 Flash initialized successfully
  • ✅ Camera access working
  • ✅ Threat detection working (test with gun gesture)
  • ✅ Dashboard updating in real-time
  • ✅ No console errors (warnings OK)
  • ✅ Thought transparency showing AI reasoning
  • ✅ Response time < 3 seconds
  • ✅ Confidence scores reasonable (> 70%)

💡 Pro Tips

Optimize for Speed

// Use Flash model with low thinking
model: 'gemini-3-flash-preview',
thinkingLevel: 'low',
mediaResolution: 'medium'
// → 3x faster, 6x cheaper

Optimize for Accuracy

// Use Pro model with deep think
model: 'gemini-3-pro-preview',
thinkingLevel: 'high',
mediaResolution: 'high'
// → 30% more accurate, better reasoning

Adaptive Configuration

// Let AegisAI automatically choose
// based on threat level and scene complexity
ENABLE_ADAPTIVE_MODEL_SELECTION: true
// → Best balance of speed, cost, and accuracy

🎉 You're Ready!

AegisAI is now running with Gemini 3.0

Next: Try the Full Stack Mode to unlock:

  • Incident storage and history
  • Automated response execution
  • Multi-user support
  • Advanced analytics

Questions? Check docs/ or open an issue

Happy Monitoring! 🛡️

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