apicrusher 1.3.2

Cut AI API costs by 63-99% with intelligent routing

APICrusher - Cut AI API Costs by 63-99%

Stop bleeding money on AI APIs. APICrusher automatically routes requests to the cheapest capable model and caches responses, cutting costs by 63-99% with just 2 lines of code.

🚀 Quick Start

pip install apicrusher

# Before (expensive)
from openai import OpenAI
client = OpenAI()

# After (63-99% cheaper)
from apicrusher import OpenAI
client = OpenAI(apicrusher_key="your_key")

That's it. Your code stays the same, your costs drop dramatically.

💰 How Much Can You Save?

Your Current Usage	Monthly Cost	With APICrusher	You Save
GPT-4 for everything	$1,000	$180	$820 (82%)
Mixed GPT-4/3.5	$500	$95	$405 (81%)
Heavy API usage	$5,000	$750	$4,250 (85%)
Long conversations	$2,000	$340	$1,660 (83%)

🎯 Features

Cross-Provider Optimization (NEW in v1.3.0)

Get 99% savings by routing between providers:

from apicrusher import OpenAI

client = OpenAI(
    api_key="sk-...",                    # Your OpenAI key
    anthropic_api_key="sk-ant-...",      # Add Anthropic key (optional)
    google_api_key="...",                # Add Google key (optional)
    apicrusher_key="apc_live_..."    
)

# Simple GPT-4 queries now route to Claude Haiku automatically
# Complex queries stay on GPT-4 to preserve quality

### Universal Provider Support
Works with ALL major AI providers:
- OpenAI (GPT-4, GPT-4o, GPT-3.5, O1)
- Anthropic (Claude 3.5, Claude Opus 4.1)
- Google (Gemini 1.5, Gemini 2.0)
- Groq, Cohere, Meta, Mistral, and more

### Intelligent Model Routing
- Simple queries → Cheap models (gpt-4o-mini)
- Complex queries → Premium models (GPT-4)
- Automatic quality preservation

### Smart Caching
- Deduplicates identical requests
- Redis + in-memory fallback
- 33% average cache hit rate

### 🆕 Context Compression (NEW!)
**Stop paying to reprocess the same conversation 50 times:**

```python
# Enable context compression for long conversations
response = client.chat.completions.create(
    model="gpt-4",
    messages=conversation_history,  # 50 messages = 15,000 tokens normally
    compress_context=True  # Reduces to ~3,000 tokens automatically
)

# Features:
# - Summarizes older messages while preserving key decisions
# - Removes duplicate context automatically  
# - Compresses code blocks by 40-60%
# - Sends only deltas for continuing conversations
# - Preserves last 3 messages in full for accuracy

Context Compression Savings Example:

• Normal 20-message conversation: 150,000 tokens ($2.25)
• With compression: 35,000 tokens ($0.52)
• Savings: 77% on long conversations

Analytics & Reporting

# Get detailed savings report
client.print_savings_summary()

# Output:
# 💸 Total Saved: $127.43
# 📞 Total Calls: 1,432
# 💾 Cache Hit Rate: 34.2%
# ⚡ Optimization Rate: 91.3%

🔧 Advanced Usage

Multi-Provider Setup

from apicrusher import OpenAI

client = OpenAI(
    openai_api_key="sk-...",
    anthropic_api_key="sk-ant-...",
    google_api_key="...",
    apicrusher_key="apc_..."
)

# Automatically routes to cheapest provider
response = client.chat.completions.create(
    model="gpt-4",  # Will use gpt-4o-mini if appropriate
    messages=[{"role": "user", "content": "Format this date: 2024-01-01"}]
)

Context Compression Options

# Fine-tune compression behavior
response = client.chat.completions.create(
    model="gpt-4",
    messages=long_conversation,
    compress_context=True,
    compression_threshold=10,  # Start compressing after 10 messages
    preserve_recent=5  # Keep last 5 messages uncompressed
)

Manual Optimization Control

# Force specific model
response = client.chat.completions.create(
    model="gpt-4o-mini",  # Use this exact model
    messages=messages,
    skip_optimization=True  # Bypass routing logic
)

📊 Real-World Results

Based on actual customer usage:

• E-commerce company: Reduced costs from $8,400/mo to $1,260/mo (85% savings)
• SaaS startup: Cut API bills from $3,200/mo to $480/mo (85% savings)
• AI coding assistant: Dropped from $12,000/mo to $2,400/mo (80% savings)

🛡️ Security & Privacy

• Your API keys stay local - Never sent to our servers
• No prompt logging - Your data remains private
• Open source - Audit the code yourself
• SOC2 compliant - Enterprise-ready security

🚀 Getting Started

1. Install: pip install apicrusher
2. Get your key: Sign up at apicrusher.com
3. Add 2 lines: Replace your import and add your key
4. Save money: Watch your costs drop by 63-99%

💰 Pricing

• Free Trial: 7 days, no credit card required
• Professional: $99/month (pays for itself in hours)
• Enterprise: Custom pricing for high-volume usage

Most customers save 10-50x the subscription cost in the first month.

🤝 Support

• Email: [e-mail]
• Documentation: apicrusher.com/docs
• GitHub: github.com/apicrusher/apicrusher

License

MIT License - Use it however you want.

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Stop bleeding money on AI APIs. Start saving with APICrusher today.

Get Your Key →