Agentic workflows are AI-driven processes that autonomously complete multi-step tasks. Observing these workflows involves tracking their decision-making, tool usage, and progress in real-time. This practice is used to debug AI agents, optimize performance, and ensure safety. Developers, operations teams, and business leaders benefit by gaining transparency, reducing errors, and improving the reliability of automated systems.
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