Nothing
tests/testthat/_snaps/m-backend-prompt.md
In mall: Run Multiple Large Language Model Predictions Against a Table, or Vectors
Ellmer method works
Code
ellmer_funcs$sentiment("positive")
Output
You are a helpful sentiment engine. Return only one of the following answers: positive. No capitalization. No explanations. The answer will be based on each individual prompt. Treat each prompt as unique when deciding the answer.
Try the mall package in your browser
Any scripts or data that you put into this service are public.
mall documentation built on Aug. 19, 2025, 1:14 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Ellmer method works
Code
ellmer_funcs$sentiment("positive")
Output
You are a helpful sentiment engine. Return only one of the following answers: positive. No capitalization. No explanations. The answer will be based on each individual prompt. Treat each prompt as unique when deciding the answer.
Try the mall package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.