LLMTest

LLMTest is an AI developer tool that automatically optimizes the prompts and model selection behind production AI features. It benchmarks your prompts across 340+ LLM models, uses an AI judge to score output quality, and can rewrite prompts using four parallel strategies to find a version that is better or cheaper on your real traffic. For teams shipping LLM-backed features, this AI developer tool addresses the ongoing cost and quality tuning that usually gets done by hand: it tracks per-flow cost and analytics, runs weekly drift detection, and provides automatic fallbacks when a model API fails or rate-limits. An Autopilot mode runs weekly background jobs that test better or cheaper models on live traffic behind five safety gates, including a 95% confidence threshold, dual-judge verification, a minimum 20% savings requirement, golden-set regression checks and length-bias detection, with a 24-hour revert on any change. It integrates with IDEs through MCP for Claude Code, Cursor, Windsurf and similar editors, and a daily model radar surfaces new releases and price changes. It is aimed at developers and engineering teams who run AI in production and want to keep prompt quality and cost tuned without manual A/B work each week. Autopilot requires an account at least 14 days old and 20+ real calls before it will act.

Auto-optimizing prompts and model selection for developers running LLM features in production