Optimization Techniques

Compare different token optimization strategies

Technique	Savings	Complexity	Best For
Prompt Compression	30-40%	Low	Repeated queries
Context Truncation	25-50%	Medium	Long conversations
Smart Caching	50-70%	Low	Frequent requests
Token Pooling	20-35%	High	Multi-user systems

Implementation Steps

How to implement token optimization

Review your API logs to identify token usage patterns. Look for repeated prompts, long context histories, and opportunities for compression.

Configure your gateway to cache common prompt prefixes. Use cache: true in your config.

Set up automatic context truncation. Keep only the most recent N messages or use semantic clustering to retain important context.

Track savings over time. Fine-tune thresholds based on quality metrics and cost reduction goals.

Does token optimization affect response quality?

When done correctly, minimal impact. Aggressive truncation may reduce context awareness. Test thoroughly before production deployment.

How much can I actually save?

Typical savings range from 30-60% depending on your use case. Repeated queries benefit most from caching. Long conversations benefit from truncation.

Is prompt compression safe?

Yes, when preserving essential instructions. Remove redundant phrasing but keep core requirements. Always validate outputs after optimization.