moai-formats-data

Reduce LLM token usage by encoding Python dictionaries into TOON format, which achieves 40-60% token savings. TOON compression optimizes complex datasets to fit within LLM token limits for efficient processing.

TOON encoding is a data format optimization technique that compresses complex data structures for LLM communication. It reduces token consumption by 40-60% while maintaining data integrity for efficient transmission and processing.

Speed up JSON serialization by using optimized libraries like orjson for high-performance processing. This approach ensures faster data handling and efficient serialization speed for modern applications requiring rapid data transmission.

Data validation supports custom schema rules and comprehensive schema management for YAML formats. This ensures data integrity by validating structure and enforcing custom rules during high-performance data processing.

Prepare complex datasets for LLM analysis by compressing them into TOON format, validating their structure with schema management, and ensuring they fit within token limits. This optimizes data for efficient LLM processing.

Use optimized serialization libraries like orjson when handling high-performance applications requiring faster JSON/YAML processing. Standard parsers lack the serialization speed needed for efficient data transmission in modern applications.