Token Optimization

Advanced techniques that reduce API token usage by 30-40% without compromising quality.

35% Token Reduction Achieved

65,000
Tokens Used (Optimized)
100,000
Traditional Approach
$87
Cost Savings per Project

⚡ Optimization Techniques

Four core optimization strategies that work together to minimize token usage while maintaining quality.

Context Sharing

-25%

Agents share context to avoid redundant API calls

Example: Agent A's project analysis is reused by Agent B for implementation

Incremental Updates

-30%

Only send context changes instead of full context

Example: Send only new requirements instead of entire project spec

Agent Pooling

-20%

Limit concurrent agents to optimize token usage

Example: Maximum 3 agents active simultaneously with intelligent queuing

Smart Caching

-15%

Cache frequent responses to reduce repeat API calls

Example: Common patterns and boilerplate code cached locally

📊 Before vs After Comparison

Detailed breakdown showing how token usage is distributed and optimized.

Traditional Approach

Total: 100,000 tokens

Project Analysis
25,000
25%
Code Generation
40,000
40%
Testing & Validation
20,000
20%
Documentation
15,000
15%

Agentwise Optimized

Total: 65,000 tokens (-35%)

Shared Analysis
10,000
15%
Incremental Generation
28,000
43%
Cached Validation
15,000
23%
Template Documentation
12,000
18%

⚙️ Configuration

Token optimization is enabled by default but can be fine-tuned for specific needs.

config/settings.json

json
{
  "tokenOptimization": {
    "enabled": true,
    "maxConcurrentAgents": 3,
    "contextWindow": 8000,
    "cacheEnabled": true,
    "incrementalUpdates": true,
    "contextSharing": {
      "enabled": true,
      "shareThreshold": 0.7
    }
  },
  "monitoring": {
    "trackTokenUsage": true,
    "costTracking": true,
    "optimizationReports": true
  }
}

🎯 Optimization Results

Immediate Benefits

  • • 35% reduction in API costs
  • • 40% faster project completion
  • • Maintained code quality scores
  • • Reduced rate limiting issues

Long-term Impact

  • • Scalable to larger projects
  • • Sustainable development costs
  • • Improved developer experience
  • • Better resource utilization