AI Eval in CI Overview Test AI agents and LLM outputs the same way you test code — automated evaluations that run in CI, compare against baselines, and fail the build when quality drops. No dashboards to check manually. Just and a red or green build. When to Use - Adding quality gates before deploying AI features to production - Catching prompt regressions when system prompts or models change - Comparing model performance (GPT-4o vs Claude Sonnet vs local Llama) - Validating RAG pipeline accuracy against a test dataset - Benchmarking agent tool-calling accuracy and latency Instructions Strate…