To configure an Einstein button for generating LLM responses, which two elements are required?

When configuring an Einstein button for generating LLM (Large Language Model) responses, it is essential to include specific elements that facilitate the interaction between user input and the LLM's capabilities. Among these, a field generation prompt template is critical because it provides a structured way to format the input that will be sent to the connected LLM. This template guides the LLM on how to process the input and what kind of output is expected, thereby enhancing the quality and relevance of the responses generated.

Furthermore, having a configured field is also necessary since it determines where the input data will be captured and how it will interface with the prompt template. This setup ensures that the input is appropriately directed to the model and can be processed correctly according to the defined prompt structure.

The combination of a field generation prompt template and a configured field ensures that the system is properly aligned to capture user interactions effectively and generate meaningful responses from the LLM.