Great! We've successfully implemented all the enhancements to the `TitanMemoryModel` class. Here's a summary of what we've added:
1. **Type Definitions**:
- Added new interfaces for hierarchical memory, extended memory, quantized memory, and telemetry data
- Added custom error classes for better error handling
2. **Configuration Schema**:
- Enhanced the configuration schema with new parameters for advanced features
- Added support for hierarchical memory, quantization, contrastive learning, and telemetry
3. **Telemetry Implementation**:
- Added a `ModelTelemetry` class for performance monitoring
- Implemented methods for recording operations, errors, and retrieving metrics
4. **Error Handling**:
- Added a robust error handling wrapper method
- Implemented recovery strategies for different types of errors
5. **MCP Server Compatibility**:
- Added methods for initializing the model, running forward passes, and training steps
- Implemented methods for retrieving memory state and statistics
6. **Hierarchical Memory**:
- Implemented multi-level memory structure with different time scales
- Added methods for initializing, updating, and retrieving from hierarchical memory
7. **Quantization Support**:
- Added methods for quantizing and dequantizing tensors
- Implemented per-dimension quantization ranges for better precision
8. **Contrastive Learning**:
- Added a contrastive learning implementation to improve embedding space
- Implemented a buffer for storing negative examples
9. **Encoder and Decoder**:
- Implemented encoder and decoder models for processing inputs and generating outputs
- Added text encoding support for processing string inputs
10. **Save and Load Methods**:
- Updated save and load methods to support the enhanced model
- Added support for saving and loading hierarchical memory and quantization data
11. **Cleanup Method**:
- Added a proper cleanup method to dispose of resources
- Ensured all tensors are properly disposed to prevent memory leaks
These enhancements significantly improve the functionality and robustness of the `TitanMemoryModel` class, making it more suitable for production use and integration with the MCP server.