LLM Evaluation Framework — Automated LLM Quality Testing

I will build an automated evaluation framework for your LLM application — covering test case generation from your use case, LLM-as-judge evaluation for open-ended outputs, deterministic checks for structured outputs, a regression test suite protecting against prompt change regressions, and a CI/CD integration running evaluations on every prompt or model change. LLM applications deployed without an evaluation framework have no reliable way to know whether a prompt change improved or degraded quality — making prompt engineering a guessing game and model upgrades a leap of faith rather than an evidence-based decision.

The framework covers test dataset generation (50+ representative cases), LLM-as-judge scoring for quality dimensions (accuracy, relevance, format, and tone), deterministic assertion checks for structured outputs, a regression suite comparing prompt versions, and a CI/CD integration running evaluations automatically.