Features
Table of contents
- Core Features
- Cost Optimization
- OpenAI Batch API Integration
- Intelligent Caching
- Reliability
- Automatic Recovery
- Data Persistence
- Management & Monitoring
- Terminal-Based Monitor
- Centralized Control
- Operation Modes
- Synchronous Mode
- Asynchronous Mode
- Cache-Only Mode
- Integration Features
- API Compatibility
- Security
- Limitations
- Batch Processing Time
- Cache Considerations
Core Features
Cost Optimization
OpenAI Batch API Integration
- Up to 50% cost reduction through batch processing
- Automatic request bundling
- Optimized batch timing
Intelligent Caching
- Zero-cost repeat query handling
- Persistent cache storage
- Hash-based request matching
Reliability
Automatic Recovery
- Resumes interrupted batch processing
- Cross-session state maintenance
- Robust error handling
Data Persistence
- MongoDB integration
- Batch status tracking
- Response caching
Management & Monitoring
Terminal-Based Monitor
- Real-time batch status viewing
- Interactive navigation
- Progress tracking
- Status filtering
Centralized Control
- Single OpenAI key management
- Batch operation monitoring
- Cache management
Operation Modes
Synchronous Mode
- Standard request-response pattern
- Immediate response delivery
- Suitable for low-volume scenarios
Asynchronous Mode
- Non-blocking operation
- Immediate acknowledgment
- Ideal for high-volume applications
Cache-Only Mode
- Offline operation capability
- Zero API calls
- Historical response serving
Integration Features
API Compatibility
- Drop-in OpenAI API replacement
- Standard endpoint support
- Compatible with existing clients
Security
- Centralized API key management
- Secure MongoDB integration
- Environment-based configuration
Limitations
Batch Processing Time
- OpenAI’s 24-hour SLA for batch processing
- Not suitable for real-time applications
- Batch timing considerations
Cache Considerations
- Storage requirements for large deployments
- Cache invalidation strategies
- Memory usage management