Unverified50% confidenceFactExact time
Agent evaluations (Evals) fall into two categories: automated evaluation (e.g., LLM-as-judge, rule matching) and human evaluation
1
Sources
50%
Confidence
Long-term
Relevance
9/27/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe pragmatic approach to Agent verification is layered composition: use rule guardrails and human approval before execution, monitor resources and apply circuit breaking during execution, and persist traces after execution combined with LLM judging and offline evaluation for continuous regression.73% similarUnverifiedAgent evaluation systems are evolving from 'process correctness' toward 'outcome correctness'.73% similarUnverifiedAgentic Index 是评估模型作为智能体能力的综合性排行榜，关注模型在真实工作流中的表现，考察维度包括工具调用、多步推理与规划、长上下文处理、代码执行与调试73% similarVerifiedThe five-dimensional metric framework for Agent evaluation includes: integrity (task success rate), speed (execution efficiency), economy (cost control), stability (reliability), and safety (risk prevention and control).72% similarUnverifiedAgent activity is listed separately as an audit subject, reflecting the platform's emphasis on Agent observability.71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/953098API
curl https://kongchang.com/api/v1/knowledge/claims/953098MCP
get_claim(id=953098)