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#' Predefined prompt contexts for prompt engineering
#'
#' This function holds various predefined prompt
#' contexts that can be used for prompt engineering.
#'
#'@param type specifies the type of context you wish to be returned.
#' Valid options are "simple", "actAs", "CoT" and "rbionfoExp"
#' @return A string holding the predefined context.
#' @export
promptContext <- function(type="simple"){
rbionfoExp <-"Act as an expert bioformatician and R user. Answer questions using your expertise. When providing code provide the code in triple backtics and as a single block."
simple <- "Instruction: Provide R code for the following tasks. Provide the code in triple backticks (``` and ```). Provide the code as a single block at the end of your response. Do no provide code output.\ntask:\n"
actAs <- "Instruction: Act as an expert bioformatician and R programmer. You also have a lot of knowledge about biology. Complete the following tasks, using your expertise and always provide relevant code. When providing the code in triple backticks (``` and ```). Provide the code as a single block at the end of your response.\ntask:\n"
CoT <- "Instruction: Act as an expert bioformatician and R programmer. You also have a lot of knowledge about biology. Answer questions using your expertise and always provide code. When providing code, provide the code in triple backticks (``` and ```). Provide the code as a single block at the end of your response. Let's work this out in a step by step way to be sure we have the right answer.\ntask:\n"
# argument validation
#-----------------------------------------------------------------------------
assertthat::assert_that(
assertthat::is.string(type)
)
#-----------------------------------------------------------------------------
if (!type %in% c("simple","actAs", "CoT", "rbionfoExp")){
stop ("Not a valid context. Valid contexts are: simple, actAs, CoT or rbionfoExp")
}else{
return (eval(parse(text=type)))
}
}
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