Multi-LLM consensus framework for automated cell type annotation in single-cell RNA sequencing (scRNA-seq) data. The framework integrates multiple large language models including GPT, Claude, Gemini, Grok, DeepSeek, Qwen, GLM, MiniMax, and Stepfun to generate and reconcile cell type predictions through consensus voting. It provides both Python (via PyPI) and R (via CRAN) interfaces, integrates with scanpy and Seurat workflows, and targets computational biology researchers analyzing single-cell datasets.