Know Your Agent (KYA): From Zero to a Full Strengths & Weaknesses Report in Minutes
Blog post from Deepchecks
Know Your Agent (KYA) is a testing framework designed to provide comprehensive evaluation for AI agents, addressing the challenges of testing in open-ended environments where agents make autonomous decisions. It offers a structured, repeatable process that involves five steps: agentic data generation, running datasets on deployed agents, automatic logging instrumentation, full-stack evaluations with clear scores, and actionable insights. KYA ensures that AI agents are tested against diverse, realistic scenarios, allowing for the identification of failure modes and performance metrics without the need for manual test-case curation. By using KYA, teams can generate meaningful test data quickly and efficiently, run these tests on real deployed systems, and gain insights into the agents' performance through detailed logging and evaluations. This approach not only surfaces failures but also helps in understanding agent behavior, ultimately building a continuous feedback loop for iterative improvement and increased confidence in an agent's reliability before it is deployed in production.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 12 | 5,138 | 781 | 181 | +34% |
| AI Guardrails | 4 | 382 | 142 | 52 | +40% |
| AI Agents | 3 | 3,583 | 743 | 199 | -1% |
| Multi-agent systems | 2 | 380 | 114 | 51 | -10% |
| AI Coding Assistant | 1 | 1,009 | 253 | 106 | +42% |
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