Terminal-Bench is an evaluation framework for testing LLM agents in realistic terminal environments. It provides reproducible task suites covering end-to-end challenges such as compiling code, training machine learning models, and setting up servers. The benchmark measures agent performance on system-level reasoning and autonomous task completion across multi-step scenarios.