model_name

The name of the model that will be used to process the prompt.

temperature

Temperature to use with the model. The exact mathematical definition of temperature can vary depending on the model provider.

max_tokens

The maximum number of tokens to be included in the completion from the LLM provider.

cache_variants

The number of different variations to keep in the cache for this prompt. When the input data to the LLM is exactly the same, the prompt can be ‘cached’. By default only 1 variant is kept. But if your prompt is meant to do something like creative story writing or brainstorming, then you may want to increase the number of variants to say 100 or 10,000, effectively eliminating the cache system.

max_history_events

The maximum number of conversation events to include in the conversation history data fed to the bot.

text

The text containing the LLM’s response to be said back to the user

prompt

The raw text of the prompt that was sent up to the LLM provider.