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Home / Articles / AI

Evaluating AI Agents: Metrics, Traces, and Safety

A practical framework for agent evaluation

February 1, 2025AI8 min read
Evaluating AI Agents: Metrics, Traces, and Safety
AI AgentsEvaluationSafety

Agent evaluation should be systematic and repeatable. We detail task success metrics, trace-based debugging, and safety policies for agents using open-source LLMs.

Evaluation Suite

  • Task success & quality scores
  • Tool error analysis
  • Latency & cost dashboards
  • Safety policy violations

Key Industry Statistics

85%

Adoption Rate

$2.3B

Market Size

45%

Growth Rate

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Latest Trends 2024

  • AI-Powered Automation: 300% increase in adoption
  • Cloud-Native Solutions: 85% of enterprises migrating
  • Zero-Trust Security: $45B market by 2025
  • Edge Computing: 50% reduction in latency
  • MLOps Adoption: 200% growth year-over-year

Industry Insights

Market Opportunity

Global market expected to reach $500B by 2025, growing at 35% CAGR

Talent Demand

500K+ job openings for AI/DevOps engineers in 2024

Compliance

GDPR, SOC 2, and ISO 27001 certification becoming standard

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