A good tutorial. Generally speaking, the harness is the environment layer between a language model and its task, such as the action set it can call, the state, the context it can see and the memory etc.

However, currently the bigger question comes to my experience during harness is actually not where we use LLM in the system, but where we do NOT use LLM in the system. And the validation of the results becomes more and more important. Any thoughts on this?