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AgentOps is the specialized monitoring and observability platform designed specifically for autonomous AI agents. As AI agents move into production, traditional logging systems are insufficient because they only tell you what happened, not why the agent decided to take a specific action or use a certain tool. AgentOps solves this crucial problem by providing insights beyond general LLM monitoring (like LangSmith). It is like having a "dash cam + GPS + decision log" for your AI system! In this deep dive, we explain how AgentOps enables AI agent developers and production engineers to: • Track complete Agent Sessions from start to goal achievement (or failure). • Record Decision Tracking to see why an agent chose a specific tool. • Identify complex failure patterns, such as an agent choosing the wrong article because the ranking algorithm was outdated. • Analyze costs, success rates, and tool effectiveness using the Analytics Dashboard. If you are building multi-step autonomous workflows and need production reliability, AgentOps is ideal