Batch Evaluation Execution With Parallelization

via “batch-evaluation-execution-with-parallelization”

LLM eval and monitoring with hallucination detection.

Unique: Abstracts parallel evaluation orchestration into a single EvalRunner.run_suite() call, handling worker scheduling, result aggregation, and external API coordination. Configurable concurrency (max_parallel_evals) allows teams to balance throughput against API rate limits without manual thread management.

vs others: Simpler than building custom evaluation pipelines with concurrent.futures or Ray, but less flexible because parallelization strategy is opaque and non-configurable beyond the concurrency parameter.