llmoptimize 2.1.1

Reduce LLM API costs by 90% with automatic tracking and AI-powered recommendations

AIOptimize - Reduce LLM API Costs by 90%

Drop-in SDK that automatically tracks costs, recommends cheaper models, and optimizes AI workflows.

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🚀 Quick Start

pip install llmoptimize

import llmoptimize

# Your code works exactly the same
import openai
client = openai.OpenAI()
response = client.chat.completions.create(
    model="gpt-4",
    messages=[{"role": "user", "content": "Hello!"}]
)

# See your costs and savings
llmoptimize.report()

Output:

💰 COST REPORT
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Total Calls:     47
Total Cost:      $2.34
Potential Savings: $2.11 (90%)

💡 RECOMMENDATIONS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
✓ Use gpt-3.5-turbo instead of gpt-4 for simple tasks
✓ Estimated savings: $1.85/day

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✨ Features

🎯 Magic Mode (Default)

Zero code changes - just import llmoptimize and it works.

🤖 AI-Powered Recommendations

Smart analysis of each API call with confidence scores and reasoning.

📊 Comprehensive Tracking

• Real-time cost tracking
• Token usage analytics
• Model performance insights
• Automatic report generation

🔍 Code Auditing

Analyze Python code BEFORE running to find optimization opportunities.

🎭 Agent Optimization

Track multi-step AI agent workflows with loop detection and context optimization.

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🎁 Free Trial

100 calls with full access to all features - no credit card required.

After 100 calls, choose your plan:

• Starter: 200/month - Unlimited calls + dashboard

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📦 Supported Providers

✅ OpenAI (GPT-4, GPT-4o, o1, o3, embeddings) ✅ Anthropic (Claude 3, Claude 3.5) ✅ Google (Gemini 1.5, 2.0) ✅ Groq (Llama, Mixtral, Gemma) ✅ Mistral (Large, Small, Nemo) ✅ Cohere (Command R+)

72+ models tracked automatically.

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🔐 Privacy & Security

✅ No prompt content sent - Only categories ✅ API keys stay local - Never sent to our servers ✅ Anonymized data only - Random session IDs ✅ GDPR compliant - Full data export available

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📝 License

Proprietary - See LICENSE file.

Free 100-call trial included. Paid license required for continued use.

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🤝 Support

• 📧 Email: [e-mail]
• 📚 Docs: Full documentation
• 🐛 Issues: GitHub Issues

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Made with ❤️ by llmOptimize Team