Powerful Features for LLM Cost Optimization
Everything you need to reduce AI costs and protect sensitive data
💰 Intelligent Cost Optimization
Automatically select the cheapest LLM model that meets your quality requirements.
Multi-Provider Support
Compare prices across OpenAI, Anthropic, Google, Cohere, and more. Always get the best rate.
Smart Model Selection
Heuristics-based engine chooses optimal model based on task type, quality needs, and budget constraints.
Token Estimation
Accurate input/output token prediction before making API calls. No surprises on your bill.
Budget Controls
Set maximum cost limits per request. Prevent runaway spending on expensive models.
Example Savings:
$ llm-cost-opt optimize --input-tokens 1500 --output-tokens 300
{
"model_name": "gpt-4o-mini",
"estimated_cost": 0.0012,
"reason": "97% cheaper than GPT-4 with similar quality"
}See real cost savings with live LLM calls
🔒 Advanced Document Anonymization
Remove personally identifiable information (PII) before sending data to LLM APIs.
Email Masking
Automatically detects and replaces email addresses with tokens like [EMAIL_1], [EMAIL_2].
Phone Number Protection
Finds and masks phone numbers in multiple formats (international, local, mobile).
IP Address Anonymization
Detects IPv4 and IPv6 addresses and replaces them with [IP_1], [IP_2] tokens.
Reversible Mapping
Keep track of original → masked mappings to restore data after LLM processing.
Example Usage:
$ llm-cost-opt anonymize ./meeting-notes.txt --out ./anonymized.txt ✅ Anonymized 3 emails, 2 phone numbers, 1 IP address 📄 Output: anonymized.txt
Test PII detection in your browser. No signup required.
⚡ Powerful CLI Tool
Command-line interface for quick optimization and anonymization tasks.
Cross-Platform
Works on Windows, macOS, and Linux. Auto-installers included.
Pipeline-Friendly
JSON output, stdin/stdout support. Perfect for CI/CD integration.
Script Integration
Use in bash scripts, PowerShell, or any automation workflow.
🌐 REST API Server
Run as a service for team-wide cost optimization and anonymization.
FastAPI Backend
Modern, fast, OpenAPI-documented REST API. Integrates with any language.
Self-Hosted
Deploy on your infrastructure. No cloud dependency, full data control.
OpenAPI Docs
Automatic Swagger UI documentation. Easy testing and integration.
Stateless Design
Horizontally scalable. Deploy multiple instances behind load balancer.
🐍 Python Library
Integrate directly into your Python applications and AI workflows.
Drop-In Replacement
Replace OpenAI/Anthropic clients with optimized versions. One-line change.
Transparent Optimization
Automatically selects cheapest model. Your code stays the same.
Type-Safe API
Full type hints and IDE autocomplete. Catch errors before runtime.
Configurable
Customize model selection rules, budgets, quality thresholds.
Example Integration:
from llm_cost_optimizer.interceptor import OptimizedOpenAI as OpenAI client = OpenAI(api_key="...", daily_budget=10.0, anonymize=True) response = client.chat.completions.create(...) # Automatically optimized!
🛡️ Security & Privacy First
Built with security and data protection as top priorities.
No Cloud Dependency
All processing happens locally or in your VPC. We never see your data.
Zero Telemetry
No usage tracking, no phone-home. Your data stays private.
Open Architecture
Review the code, audit the package. Full transparency.
Common Use Cases
AI-Powered Apps
Reduce LLM costs by 60-90% in production chatbots, assistants, and AI features.
Data Analysis
Anonymize sensitive datasets before sending to LLMs for analysis and insights.
Document Processing
Extract information from contracts, reports, and documents with PII protection.
Customer Support
Power support chatbots while protecting customer email, phone, and personal data.
Compliance Teams
Ensure GDPR/CCPA compliance when using AI APIs with customer data.
Agencies & Consultants
Build AI solutions for clients with automatic cost optimization and data protection.
Ready to Optimize Your LLM Costs?
Join developers saving 60-90% on AI API costs