Module engine 

Experiment engine — core async loop for autonomous parameter tuning.

ExperimentEngine orchestrates baseline evaluation, variation generation, candidate scoring, acceptance decisions, and optional SQLite persistence. Cancellation is supported via tokio_util::sync::CancellationToken.

Loop Summary

1. Evaluate the baseline configuration once to establish initial_baseline_score.
2. Ask the VariationGenerator for the next untested variation.
3. Clone the subject provider with generation overrides from the candidate snapshot.
4. Evaluate the candidate; accept if delta >= config.min_improvement.
5. On acceptance, update the progressive baseline (greedy hill-climbing).
6. Optionally persist the result to SQLite.
7. Repeat until: max experiments, wall-time limit, search exhaustion, or cancellation.

Structs

ExperimentEngine

Autonomous parameter-tuning engine.

ExperimentSessionReport

Final report produced by ExperimentEngine::run.