query_llm_for_roles

Sends a prompt to the OpenAI API to classify dataset variables into anonymization roles
for use with the sdcMicro package. If the API key is not provided or set via
`Sys.getenv("OPENAI_API_KEY")`, the function will prompt for it interactively.

internal

Data from statistical agencies and other institutions are mostly
confidential. This package, introduced in Templ, Kowarik and Meindl (2017) <doi:10.18637/jss.v067.i04>, can be used for the generation of anonymized
(micro)data, i.e. for the creation of public- and scientific-use files.
The theoretical basis for the methods implemented can be found in Templ (2017) <doi:10.1007/978-3-319-50272-4>.
Various risk estimation and anonymization methods are included. Note that the package
includes a graphical user interface published in Meindl and Templ (2019) <doi:10.3390/a12090191> that allows to use various methods of this
package.

Matthias Templ

sdcMicro

Statistical Disclosure Control Methods for Anonymization of Data
and Risk Estimation

Bernhard Meindl

Alexander Kowarik

Johannes Gussenbauer

Organisation For Economic Co-Operation And Development 

Statistics Netherlands 

Pascal Heus 

query_llm_for_roles function

<dl><dt>prompt</dt>
<dd>A character string prompt for the LLM.</dd>
<dt>model</dt>
<dd>The OpenAI model to use (e.g., "gpt-4").</dd>
<dt>api_key</dt>
<dd>Optional. If not provided, defaults to environment variable OPENAI_API_KEY.</dd></dl>

Arguments

Author

#' Query LLM to Classify Variable Roles — query_llm_for_roles

<dl>

<dt>prompt</dt>
<dd>A character string prompt for the LLM.</dd>


<dt>model</dt>
<dd>The OpenAI model to use (e.g., "gpt-4").</dd>


<dt>api_key</dt>
<dd>Optional. If not provided, defaults to environment variable OPENAI_API_KEY.</dd>

</dl>

#' Query LLM to Classify Variable Roles

query_llm_for_roles: #' Query LLM to Classify Variable Roles

Description

Usage

Value

Arguments

Author