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As organizations deploy AI agents and LLM-powered applications into production, the need for evaluation frameworks that hold up under load has become critical. Without proper evaluation tools, teams struggle to measure quality improvements, catch regressions before they ship, and maintain reliable performance at scale. The right evaluation platform enables

As AI agents move into production, evaluation is no longer optional. According to LangChain's 2026 State of AI Agents report, 57% of organizations now have agents in production, with quality cited as the top barrier to deployment by 32% of respondents. Unlike traditional software, agents are non-deterministic