compute-token-stats-rust-ultra

You can compute token counts and costs from large Claude SSE logs by piping the JSONL file contents directly into an optimized Rust binary for ultra-fast processing.

The best way to analyze massive JSONL files for LLM cost analysis is using optimized Rust binaries, which provide high-performance token computation and deterministic task execution compared to Python-based methods.

No, this token computation method does not require any external dependencies, utilizing self-contained optimized Rust binaries to process Codex and Claude SSE logs directly from stdin.

Yes, you can compare Rust-based token computation with Python-based methods, as the Skill provides deterministic task execution and performance comparisons for analyzing massive JSONL SSE logs.

You process Codex SSE logs for token usage tracking by piping the log file to the Rust binary via stdin, which rapidly calculates token counts and estimated costs to identify resource consumption.