What is Required Function Calling and Why Use It in Microsoft Semantic Kernel?
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RequriredFuntionCalling : The Required behavior makes sure the AI uses specific tools or functions to get information, rather than guessing or using what it already knows. This is useful when you want the AI to get the most accurate and up-to-date information.
Semantic Kernel has different sets of classes for function calling. One set is for the AzureOpenAI and OpenAI connectors, another for the Gemini connector, and a third for the Mistral connector.
These function-calling classes are almost the same, with only small differences, as each set is linked to the internal code of its specific AI connector. This means the same function-calling classes can't be reused across different connectors, so a new set must be created for each new AI connector.
The new function-calling approach solves this problem by being connector/service agnostic. It’s part of the Semantic Kernel’s core design and works with any AI connector that supports function-calling AI models. This makes the function-calling model reusable and flexible, allowing the same configuration and behavior to be used by different AI connectors.