Harness Routing Principles: Thick vs Thin Harness, Early Rejection, and Avoiding Unnecessary LLM Calls
The article discusses architectural principles for building a harness for AI agents, emphasizing the choice between thick and thin harnesses, early rejection of unexecutable requests, and avoiding unnecessary LLM calls. It introduces entity types and a routing pipeline to balance model capability and cost.
DeepMind
Anthropic
OpenAI



