Maze provides a distributed runtime for LLM agents supporting ReAct-style reasoning, tool calls, and dynamic workflow execution. It includes cluster resource APIs for inspecting GPU/CPU availability across distributed nodes, content-addressed artifact stores for distributed file execution, persisted run history, and retry/timeout controls for production workloads.