benchmark-framework

To benchmark cognitive reasoning patterns, prepare an experiment_config.yaml defining problem domains, patterns, and criteria, then run the benchmark runner to evaluate patterns like ToT, BoT, and SRC across controlled experiments.

Cognitive reasoning pattern evaluation collects metrics on quality, cost, time, and confidence. These results are stored in a ChromaDB-backed store to enable trend analysis and cross-project comparison across domains.

Yes, the framework supports A/B/C testing across domains such as optimization, exploration, diagnosis, security, and governance, using reproducible experimental designs with randomization and baseline controls to evaluate patterns.

After running experiments, review the generated reports and analyze the results stored in the ChromaDB-backed store to gain trend insights and compare trade-offs across different cognitive reasoning patterns.

To ensure reproducibility when evaluating reasoning patterns, use the framework's experimental design support, which facilitates controlled experiments with defined problem sets, randomization, and baseline controls.

Yes, the framework uses a ChromaDB-backed store to centralize the collection and storage of benchmark metrics, enabling cross-domain analysis and trend tracking for cognitive reasoning pattern evaluation.