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name: smart-router description: Multi-tier LLM routing for cost optimization in the BidDeed.AI ecosystem. Routes tasks to appropriate model tier based on complexity, achieving 40-55% FREE tier processing. Use when making API calls, selecting models, implementing chat interfaces, or optimizing AI costs. Tiers: FREE (gemini-2.5-flash 1M context), ULTRA_CHEAP (deepseek-v3.2), CHEAP, STANDARD, PREMIUM (claude-sonnet-4), ULTRA (claude-opus-4.5).

Smart Router V5

Multi-tier LLM routing achieving 40-55% FREE tier processing through intelligent task classification.

Model Tiers

Tier	Model	Context	Cost	Use Case
FREE	gemini-2.5-flash	1M tokens	$0	Default, chat, summarization
ULTRA_CHEAP	deepseek-v3.2	128K	~$0.28/1M	Simple analysis, formatting
CHEAP	gemini-1.5-pro	2M	~$1.25/1M	Long document analysis
STANDARD	claude-haiku-4.5	200K	~$2.50/1M	Quick reasoning
PREMIUM	claude-sonnet-4	200K	~$15/1M	Complex analysis
ULTRA	claude-opus-4.5	200K	~$75/1M	Architecture, critical decisions

Routing Logic

def route_task(task: dict) -> str:
    """Route task to appropriate model tier."""
    
    complexity = task.get('complexity', 'medium')
    requires_reasoning = task.get('reasoning', False)
    token_count = task.get('estimated_tokens', 0)
    critical = task.get('critical', False)
    
    # ULTRA tier - reserved for critical decisions
    if critical or task.get('type') == 'architecture':
        return 'ULTRA'
    
    # FREE tier - default for most tasks
    if complexity == 'low' and not requires_reasoning:
        return 'FREE'
    
    # ULTRA_CHEAP - simple but needs better than free
    if complexity == 'low' and requires_reasoning:
        return 'ULTRA_CHEAP'
    
    # CHEAP - long context needed
    if token_count > 100_000:
        return 'CHEAP'
    
    # STANDARD - moderate reasoning
    if complexity == 'medium':
        return 'STANDARD'
    
    # PREMIUM - complex analysis
    return 'PREMIUM'

Task Classification

FREE Tier Tasks (Target: 40-55%)

• Chat/conversation
• Simple Q&A
• Text summarization
• Format conversion
• Basic extraction

ULTRA_CHEAP Tasks

• Structured data parsing
• Simple code generation
• Template filling
• Translation

PREMIUM/ULTRA Tasks

• Lien priority analysis (legal reasoning)
• Architecture decisions
• Complex debugging
• ML model evaluation

Configuration

// Cloudflare Worker environment
const ROUTER_CONFIG = {
  FREE: {
    model: 'gemini-2.5-flash',
    apiKey: env.GOOGLE_API_KEY,
    projectId: '171223116958',
    maxTokens: 1_000_000
  },
  ULTRA_CHEAP: {
    model: 'deepseek-v3.2',
    endpoint: 'https://api.deepseek.com/v1/chat/completions',
    apiKey: env.DEEPSEEK_API_KEY
  },
  PREMIUM: {
    model: 'claude-sonnet-4-20250514',
    apiKey: env.ANTHROPIC_API_KEY
  }
};

Cost Tracking

Log every API call to Supabase daily_metrics:

INSERT INTO daily_metrics (date, tier, calls, tokens, cost_usd)
VALUES (CURRENT_DATE, 'FREE', 1, 5000, 0.00);

Integration Points

• Chat apps: brevard-bidder-landing.pages.dev/chat
• Life OS: life-os-aiy.pages.dev/chat
• GitHub Actions: Use PREMIUM for pipeline tasks
• API endpoints: Route via Cloudflare Worker

Cost Optimization Metrics

Metric	Target	Measurement
FREE tier %	40-55%	free_calls / total_calls
Avg cost/call	<$0.01	total_cost / total_calls
Monthly spend	<$100	Sum of all tiers
Paid tier savings	25%	vs. STANDARD-only baseline