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Standardized interface layers that allow orchestration logic to communicate with model providers regardless of the implementation language.
Distinguishing note: Distinct from Model Abstraction Layers by emphasizing the cross-language compatibility of the connector interface.
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Semantic Kernel is an artificial intelligence orchestration framework designed to integrate large language models with existing codebases. It functions as an agentic workflow engine, providing a standardized interface that connects generative models to traditional application logic, data sources, and external tools to automate complex, multi-step business tasks. The platform distinguishes itself through a modular plugin architecture and a planner-based reasoning engine that decomposes high-level goals into executable sequences of functions. By utilizing a connector-based abstraction layer, it
A standardized interface layer that decouples the core orchestration logic from specific large language model providers and their proprietary API protocols.