llmhelper (version 1.0.0)

build_prompt: Build a templated prompt for LLM interaction using glue

Description

This function constructs a structured prompt string by injecting user-supplied parameters into a predefined template. It leverages the glue package to replace named placeholders in the template with actual values, enabling dynamic prompt creation for LLM workflows.

Usage

build_prompt(template, ...)

Value

A single character string with all {placeholder} fields in template

replaced by the corresponding values from ....

Arguments

template

A character string containing the prompt template. Placeholders should be wrapped in {} and correspond to names provided in ....

...

Named arguments matching placeholders in template. Each name–value pair will be substituted into the template at runtime.

Author

Zaoqu Liu; Email: [e-mail]

Details

The build_prompt() function uses glue::glue_data() internally. Placeholders in template (e.g., {filename}, {threshold}) are resolved by passing a named list of parameters via .... You can include any number of placeholders in the template, as long as the corresponding argument is supplied when calling this function.

Examples

if (FALSE) {
# Define a template with placeholders
prompt_template <- "
Perform the following analysis on dataset at '{filepath}':
1. Load data from '{filepath}'
2. Normalize using method '{norm_method}'
3. Save results to '{output_dir}'

IMPORTANT: Use package::function notation for all function calls."

# Build the prompt by supplying named arguments
filled_prompt <- build_prompt(
  template     = prompt_template,
  filepath     = "/path/to/data.csv",
  norm_method  = "quantile",
  output_dir   = "/path/to/output/"
)
cat(filled_prompt)
}