Agent Evaluation Design

advancedtestingMin 32K context

Builds repeatable evaluations for AI agents that measure task success, tool correctness, groundedness, latency, cost, and safe recovery across realistic end-to-end scenarios.

ai-agentsevaluationbenchmarksquality

Use Cases

  • Agent release gates
  • Tool-use quality measurement
  • Production agent benchmarking

Example Prompt

Design an evaluation suite for this agent. Define representative tasks, success criteria, tool assertions, cost and latency metrics, safety checks, and release thresholds.

Recommended Models

claude-opus-4-6gpt-5gemini-2-5-pro

Compatible Tools

claude-codecursorkiroany

Modalities

Input: text, code, file
→
Output: text, code

Author

OpenModels Community

@openmodelsrun