Four New Agent Evaluation Metrics

Standard agentic benchmarks tell you if your agent completed the task. But they don't tell you whether the user's experience was good or whether it took 3 steps or 13 to get there.

Yesterday, we launched our Agent Evals MCP to bring evaluation into your IDE. Today, we're expanding what you can evaluate out of the box with four new agent-specific metrics that measure the dimensions that impact user experience in production.

Beyond Pass/Fail: Evaluation Metrics That Matter

These new metrics join our comprehensive suite of out-of-the-box agent evaluations, giving teams the most extensive agent measurement toolkit available:

Agent Flow - Validates whether your agent follows the intended workflow or task pipeline. When building multi-step agents, this metric helps you catch deviations from expected behavior patterns before they impact users.

Agent Efficiency - Measures execution conciseness. The difference between an agent that takes 3 steps versus 13 steps to complete a task directly impacts both user satisfaction and infrastructure costs. This metric identifies unnecessary tool calls, redundant questions, and bloated workflows.

Conversation Quality - Evaluates the overall user experience across multi-turn conversations. Goes beyond accuracy to measure whether interactions leave users satisfied or frustrated—critical for customer-facing applications.

Intent Change - Detects when users shift their goals mid-conversation. These shifts often signal gaps in your agent's ability to handle the initial request, providing clear signals for improvement.

The Most Comprehensive Agent Evaluation Platform

With today's release, Galileo offers the most extensive collection of out-of-the-box agent metrics in the industry. From foundational measures like hallucination detection and context adherence to specialized agentic metrics like tool selection accuracy and reasoning coherence, we've built the evaluation infrastructure that production agents require.

And when our out-of-the-box metrics don't cover your specific use case? Our custom metrics capabilities let you define domain-specific evaluations using natural language, with no prompting expertise required. These are the evaluation tools which are successfully improving the AI infrastructure layers at customers including HP, Comcast, NTT, ServiceTitan, and many others. 

Evaluate From Anywhere

The best part? All of these metrics, including today's new additions, are accessible directly from your IDE through our newly launched Agent Evals MCP. Generate synthetic test data, run evaluations, get automatic insights, and analyze results without context switching between your code and dashboards.

This is evaluation-driven development: comprehensive metrics where you actually build, with the flexibility to measure what matters for your specific use case.

Ready to measure what users actually experience? Start using these metrics today and explore our complete agent evaluation documentation.

Galileo helps AI teams ship production-ready agents through the industry's most comprehensive evaluation platform. Sign up free here.