tracegauge is an open-source CLI tool that evaluates Claude Code LLM sessions on token economy, trajectory quality, and deterministic waste. It runs locally by default, providing developers with actionable insights to optimize their AI coding workflows.
tracegauge sits in PulseGate's LLM eval & observability category. It focuses on measuring and improving the efficiency and quality of Claude Code LLM sessions for developers. tracegauge is an open-source project aimed at AI developers. The project is open source (AGPL-3.0). The product ships for the command line.
Behind tracegauge is gaurav-gandhi-2411, and the product first shipped in 2026. The project is developed in the open on GitHub with 198 commits in the last 90 days. Among its 5 catalogued features are token efficiency scoring, local analysis, and deterministic waste detection.
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