Create a configuration that includes a prompt:

Use the configuration in an LLM evaluation:

Specify multiple properties of a configuration:

Modify an existing configuration:

Create a "WolframAIAssistant" configuration to access optimized prompts and tools:

Use it to get more relevant answers:

Use an "AgentOne" configuration to access the Agent One API:

Specify a token limit to the LLM-generated text:

Specify the service and the model to use for the generation:

Specify several prompts and how to join them together before submitting them to the LLM:

Specify that the sampling should be performed at zero temperature:

Specify the maximum cumulative probability before cutting off the distribution (aka nucleus sampling):

Specify the number of top-probability tokens to sample from:

Specify one or more alternative strings that will stop the LLM generation process:

Specify a tool that the LLM can call if needed:

Specify that tool calls should attempt to use the native API mechanism:

Compare with the alternative text-based method (which performs a single call at a time):

Create a configuration with all properties set to their default value:

Unspecified properties are set to the values specified by $LLMEvaluator:

Set only the specified properties, leaving all others to the model default values: