LangChain and Harbor have introduced a unified stack for evaluating agents. The collaboration is aimed at helping teams test agent behavior across tasks, tools and execution paths.
Agent evaluation is difficult because success often depends on multi-step behavior rather than a single answer. Teams need to inspect trajectories, tool use, failures and final outcomes.
A more unified evaluation workflow could help developers catch regressions and compare agent designs before they reach production.