v1.0.5

Full Changelog: v1.0.4...v1.0.5

[1.0.5] - 2025-11-30

Added

• Colon-less Syntax: Objects and arrays in nested positions now use key{...} and key[...] syntax, removing redundant colons.
• Smart Flattening: Top-level nested objects are automatically flattened to dot notation (e.g., config.db{...}).
• Control Character Escaping: All control characters (ASCII 0-31) are now properly escaped to prevent binary file creation.

Improved

• Token Efficiency: Achieved up to 23.8% reduction vs JSON (GPT-4o) thanks to syntax optimizations.
• Readability: Cleaner, block-like structure for nested data.

[1.0.5] - 2025-11-30

Added

• Algorithmic Benchmark Generation: Replaced LLM-based question generation with a deterministic algorithm for consistent, reproducible benchmarks.
• Expanded Dataset: Added "products" and "feed" data to the unified dataset to simulate real-world e-commerce scenarios.
• Tricky Questions: Introduced edge cases (non-existent fields, logic traps, case sensitivity) to stress-test LLM reasoning.
• Robust Benchmark Runner: Added exponential backoff and rate limiting to handle Azure OpenAI S0 tier constraints.

Changed

• Benchmark Formats: Refined tested formats to ZON, TOON, JSON, JSON (Minified), and CSV for focused analysis.
• Documentation: Updated README and API references with the latest benchmark results (GPT-5 Nano) and accurate token counts.
• Token Efficiency: Recalculated efficiency scores based on the expanded dataset, confirming ZON's leadership (1430.6 score).

Fixed

• Rate Limiting: Resolved 429 errors during benchmarking by implementing robust retry logic and concurrency control.

Full Changelog: v1.0.4...v1.0.5