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Evolving Agents: From Queries to Real-World Actions
The use of agents in technology is rapidly advancing, shifting from simple query-response models to sophisticated systems capable of executing real-world actions. This new generation of agents handles complex tasks that may fail, require extended execution time, or necessitate human interaction. Such workflows resemble transaction orchestration, highlighting the demand for robust model execution at scale. The platform, Temporal, serves as a critical tool for managing these agentic workflows effectively. An illustrative example includes the transition at Uber, where the organization moved from a monolithic architecture to a heavily microservices-based approach, leading to a challenging scenario of having more microservices than available engineers.