eval-suite-planning

To plan an LLM evaluation test suite, provide feature specs and architecture guidance to determine required evaluation tools, dataset references, test structures, and thresholds for a ready-to-run evaluation plan.

You need DeepEval, Promptfoo, or RAGAS for LLM feature evaluation when your architecture preflight indicates specific testing requirements, which are determined by reading feature specs and architecture guidance.

The best way to structure datasets and tests for an LLM evaluation suite is to generate a recommended tests folder layout that includes dataset references and thresholds based on your feature specs.

Yes, you can generate a ready-to-run evaluation plan that enforces governance and quality thresholds by coordinating DeepEval, Promptfoo, and RAGAS based on architecture preflight and feature specifications.

Yes, planning an LLM evaluation suite requires architecture guidance as input, along with feature specs, to determine which evaluation tools are required and how to structure datasets and thresholds.