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As AI agents become integral to modern products and workflows, engineering teams face increasing demands for reliability, quality, and scalability. Selecting the right evaluation and observability platform is crucial to ensure agents behave as intended across varied real-world scenarios. This article provides a comprehensive, technically detailed comparison of four leading

The rapid evolution of AI agents and large language models (LLMs) has created a critical need for robust observability and evaluation platforms. As organizations build increasingly complex AI systems, ensuring reliability, quality, and compliance becomes paramount. In this landscape, Maxim AI and Arize Phoenix have emerged as two prominent solutions,