Expertise
Model and Agent Evaluation
Agent evaluation looks beyond the final answer. It observes environments, tool permissions, behavior traces, recovery capability and long-horizon task outcomes.
Evaluation objects
- Whether the task is completed within constraints.
- Whether tool choice, parameters and call sequence are reasonable.
- Whether behavior traces contain invisible risk or ineffective loops.
- Whether failures can be identified, recovered, escalated or handed to humans.
Operating mechanism
- Build reproducible task environments and version records.
- Combine automatic verifiers, rule checks and human evaluation.
- Keep human gates and permission boundaries for high-risk actions.
- Use regression tasks to observe degradation after model, tool or prompt changes.