Your AI Agent Is Failing – You Just Can’t See Where

Deepchecks Know Your Agent (KYA) suite provides a comprehensive evaluation framework for multi-agent AI applications, pinpointing specific components that cause failures in complex workflows. The suite addresses the challenge of agentic evaluation by offering detailed insights into each component's performance, rather than just the final output. It achieves this through a detailed breakdown of multi-turn sessions, scoring both quality and system metrics for each span, and highlighting operational and reasoning failures. The case study of an Academic Research Assistant built with Google ADK illustrates how Deepchecks can isolate issues in the coordination of sub-agents, such as the Academic Web Search Agent, which struggles with vague queries and synthesis of results. The platform's ability to analyze failures at both the span and session levels allows users to quickly identify and address the root causes of underperformance, providing actionable recommendations for improvement. This approach contrasts traditional methods that often overlook the nuanced reasons behind an agent's failure to meet user expectations.

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