"AI Agent" Frameworks & Workflows

The exploration of AI Agent frameworks reveals a convergence towards graph-based workflow solutions. These serve to manage deterministic control issues in the adaptive environment of generative AI. The article questions whether it is more effective to integrate AI Agents into contemporary workflow engines or vice versa, emphasizing the challenges and considerations in implementing these systems. Modern AI Agents increasingly rely on APIs with abstractions such as prompting and structured outputs, often integrating these components in dynamic, code-driven processes for effective orchestration.

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