A plain text user prompt is the most basic form of prompt. This is equivalent to going to ChatGPT, opening a brand new chat window, and pasting in a single prompt to the conversation and taking the result as the output. This is compatible with the oldest forms of instruct models.

Options

`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.

Output

`text`	The output completion text from the LLM.
`prompt`	The raw text of the prompt that was sent up to the LLM provider.

Properties

type	LLM
needs conversation	false
uses content template	true
uses options template	true
customizable output schema	false

Prospera Platform Docs

Plain Text User Prompt

Options

Output

Properties