LLM Evaluation & Validation Framework

Overview

The llm-evals skill provides a systematic framework for evaluating and monitoring Large Language Model (LLM) applications throughout the development lifecycle. It bridges the gap between ad-hoc testing and production-grade reliability by implementing rigorous evaluation pipelines, metric-driven gating, and dataset versioning.

When To Use

• Setting up automated evaluation pipelines for LLM chains.
• Developing or refining RAG (Retrieval-Augmented Generation) systems.
• Preparing LLM applications for production deployment.
• Investigating performance regressions in complex, multi-step agent trajectories.
• Defining custom rubrics for LLM-as-a-Judge scenarios.