- Added AppConfig class to manage application configuration with environment variable support.
- Introduced JSON5 support for configuration files, allowing both .json and .json5 extensions.
- Implemented logging using Pino with pretty-printing for better readability.
- Created a MarkovStore class for efficient storage and retrieval of Markov chains with O(1) sampling.
- Developed a WorkerPool class to manage worker threads for parallel processing of tasks.
- Added methods for building chains, generating responses, and handling task submissions in the worker pool.
- Included validation for configuration using class-validator to ensure correctness.
- Established a clear structure for configuration, logging, and Markov chain management.
- Added `optimization-plan.md` detailing strategies to reduce response latency and improve training throughput.
- Enhanced performance analysis in `performance-analysis.md` with identified bottlenecks and completed optimizations.
- Created `productContext.md` summarizing project goals, user scenarios, and implementation priorities.
- Developed `markov-store.ts` for high-performance serialized chain storage with alias method sampling.
- Implemented database performance indexes in `1704067200000-AddPerformanceIndexes.ts`.
- Introduced `markov-worker.ts` for handling CPU-intensive operations in separate threads.
- Established a worker pool in `worker-pool.ts` to manage multiple worker threads efficiently.
