llmwalk explores the answer-space of prompts using MLX-supported open LLMs by branching completions based on top-k, top-p, and temperature parameters.

It prioritizes likely branches in a tree search until finding the n most probable finished answers, stopping early without full enumeration. Usage involves uvx llmwalk with options like -p for prompt, -m for model, -n for answer count, and --format for JSON/CSV output.