Regtrace
Catch LLM quality drift before your users do
Regtrace launched on June 7, 2026 with 5 votes, #2,466 of 22,647 launches that month and more than 75% of that year's launches.
What it does
Open-source CLI that catches LLM quality drift before users do. Standalone binary, no Python, Node, or Docker. Every run compared against baseline automatically. Four metric pillars: factuality, format, tone, regression. NFR gates on latency/cost/coverage. Pluggable providers: Anthropic, OpenAI, Groq, Gemini, Ollama. CI-native with exit codes. MIT license, zero telemetry.
LLM Regression and Quality Gate Framework
Regtrace is a CLI tool for evaluating and benchmarking LLM outputs. It helps you detect regressions, enforce quality gates, and understand how your model performs across multiple dimensions. Install Regtrace and run your first evaluation in under 5 minutes. No API key needed for format checks. Understand the four pillars — Factuality, Format, Tone, and Regression — and how the linter-for-LLM-outputs mental model works. Download a standalone binary for Linux, macOS, or Windows. No runtime dependencies needed. How Regtrace differs from DeepEval and other LLM evaluation frameworks. Human-label-first philosophy with four deep pillars. Practical how-to recipes for CI/CD integration, metric…from regtrace-docs.vercel.app
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