🚀 Open Source AI Optimizer

Reduce Your AI Costs by 70%

WOOSAILibrary optimizes OpenAI API calls with intelligent token compression and caching

0
% Cost Reduction
0
Tokens (vs 530)
$700
Saved per 1M tokens
pip install woosailibrary

Real-Time Token Optimization

1,000+
Global Developers
$50K+
Total Savings
10M+
Tokens Optimized
70%
Avg Savings

Real Token Savings Demo

See how WoosAI reduces costs with the same query

❌ Without WoosAI

Direct OpenAI API
Query: "인공지능 비용 절감에 대해 설명해주세요"
Input: 30 tokens
Output: 500 tokens
Total: 530 tokens
Cost: $0.001

✅ With WoosAI

Optimized
Same Query: "인공지능 비용 절감에 대해 설명해주세요"
Input: 69 tokens Compressed
Output: 100 tokens Optimized
Total: 169 tokens
Cost: $0.0003
💰

361 Tokens Saved (68% reduction)

$0.0007 per request × 1,000,000 = $700 annual savings

How It Works

Three-layer optimization for maximum savings

🗜️

Input Compression

Intelligent text compression reduces input tokens by 30-50% while preserving meaning and context

30-50% savings
🎯

Output Optimization

Smart prompting techniques generate concise, high-quality responses with fewer tokens

20-40% savings
💾

Smart Caching

LRU cache eliminates redundant API calls for identical or similar requests

Up to 100% savings
📊

Real-time Analytics

Track token usage, cost savings, and optimization performance in real-time

Full visibility
530 tokens
⬇️
169 tokens

Concise, optimized response

100 tokens
97%

Cache Hit Rate

Saved Today $47.23
Total Requests 1,247

Who Uses WoosAI?

Get Started in 3 Steps

1

Install

pip install woosailibrary
2

Initialize

from woosailibrary import WoosAI ai = WoosAI(api_key="your-key")
3

Use

response = ai.chat.completions.create( model="gpt-3.5-turbo", messages=[...] )
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