Evaluate LLM agents and tool-using workflows—task success, tool accuracy, latency/cost, safety, and regression suites. Use when shipping agent features, comparing prompts/models, or debugging agent failures.
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| Dimension | Examples |
|---|---|
| Task success | End state matches spec (binary or rubric) |
| Tool use | Correct tool, valid args, no spurious calls |
| Safety | No policy violations, no secret leakage |
| Efficiency | Tokens, latency, tool call count |
| Stability | Same input -> consistent outcome across runs |
Score 1-5 on: correctness, completeness, tone, safety. Document disagreements.
Summary table: variant | success rate | avg tools | avg latency | notes.
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