Galileo unveiled Agentic Evaluations, a solution for evaluating the performance of AI agents powered by large language models (LLMs).
With Agentic Evaluations, developers gain the tools and insights needed to optimize agent performance and reliability at every step—ensuring readiness for real-world deployment.
"AI agents are unlocking a new era of innovation, but their complexity has made it difficult for developers to understand where failures occur and why," said Vikram Chatterji, CEO and co-founder of Galileo. "With LLMs driving decision-making, teams need tools to pinpoint and understand an agent's failure modes. Agentic Evaluations delivers unprecedented visibility into every action, across entire workflows, empowering developers to build, ship, and scale reliable, trustworthy AI solutions."
Galileo's Agentic Evaluations offers an end-to-end framework that offers both system-level and step-by-step evaluation, enabling developers to build reliable, resilient, and high-performing AI agents.
Key capabilities include:
- Complete Visibility into Agent Workflows: Gain a clear view of entire multi-step agent completions, from input to final action, with comprehensive tracing and simple visualizations that help developers quickly pinpoint inefficiencies and errors in agent sessions.
- Agent-Specific Metrics: Measure agent performance at every level with proprietary, research-backed metrics built to evaluate agents at multiple levels.
- LLM Planner: Assess tool selection quality and passing on the right instructions.
- Tool Calls: Assess errors in individual tool completions.
- Overall session success: Measure overall task completion and successful agentic interactions.
- Granular Cost and Latency Tracking: Optimize the cost-effectiveness of agents with aggregate tracking for cost, latency, and errors across sessions and spans.
- Seamless Integrations: Support for popular AI frameworks like LangGraph and CrewAI.
- Proactive Insights: Alerts and dashboards help developers identify systemic issues and uncover actionable insights for continuous improvement such as failed tool calls or misalignment between the final action and initial instructions.
Agentic Evaluations is now available to all Galileo users.
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