R Observatory: Metrics for tidyprompt version 0.4.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

tidyprompt

0.4.0Package record

Prompt Large Language Models and Enhance Their Functionality

1packages depend

4.4Kdownloads / year

55.4%test coverage

13/13flavors OK

Overview

About

Maintained by Luka KoningCRAN page ↗GitHub ↗Website ↗Issues ↗Declared funder: Kennispunt Twente

Easily construct prompts and associated logic for interacting with large language models (LLMs). 'tidyprompt' introduces the concept of prompt wraps, which are building blocks that you can use to quickly turn a simple prompt into a complex one. Prompt wraps do not just modify the prompt text, but also add extraction and validation functions that will be applied to the response of the LLM. This ensures that the user gets the desired output. 'tidyprompt' can add various features to prompts and their evaluation by LLMs, such as structured output, automatic feedback, retries, reasoning modes, autonomous R function calling, and R code generation and evaluation. It is designed to be compatible with any LLM provider that offers chat completion.

Changes in 0.4.0

New prompt wrap answer_as_dataframe() for extracting tabular results via

structured output, with support for row schemas, array-of-row schemas,

and optional row-count validation.

New prompt wrap answer_as_numeric() for extracting numeric responses,

including optional minimum and maximum value validation.

send_prompt() can now directly use an 'ellmer' chat object as

the llm_provider to evaluate the prompt with (will build

an llm_provider_ellmer() under the hood)

llm_provider_ellmer() was improved to better synchronize with

the native 'ellmer' state, for instance for streaming, multimodal/image

content, and persistent chats, with clearer warnings when settings need to

be configured on the underlying ellmer chat object.

Show all changes in 0.4.0Hide the rest of the changes in 0.4.0

answer_as_json() and answer_using_tools() have broader ellmer

compatibility, including ellmer::type_from_schema(), ellmer built-in tools,

and better handling of optional or ignored tool arguments.

Chat history handling is more robust for tool and ellmer-native workflows:

tool rows are supported, non-replayable native rows (tool call and thinking rows)

are kept for inspection but not re-sent to the LLM provider, and related

metadata is normalized more reliably.

Update e-mail address of maintainer in DESCRIPTION file

(change to a personal e-mail address due to leaving the organization).

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("tidyprompt", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("KennispuntTwente/tidyprompt")

Development version from KennispuntTwente/tidyprompt. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-tidyprompt

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-tidyprompt

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-tidyprompt

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 3.3 min · r-oldrel-macos-x86_64

Status changes

OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK12 OK2026-04-25
ERROR13 OK, 1 ERROR2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.4.0

READMEYes · 899 wordsVignettesYes · 4 · dynamicNEWSYes · 100% structured · mentions 0.4.0Citation fileNoWebsiteYes · pkgdown

Help pages: 59 (4 internal)includes a package overview page
Examples that run: 64%35 run in a plain check (2 of them under a condition) · 20 never run
Exported functions with examples: 100%
Documented parameters: 92%
Return-value docs: 95%
Help pages citing references: 3%

Vignettes (4)

Creating prompt wraps HTML
Getting started HTML
Sentiment analysis in R with a LLM and 'tidyprompt' HTML
Streaming LLM responses to Shiny apps HTML

How these are measured

Downloads

4.4K

CRAN downloads in the past year

Rank #9,481 · ~12/day · ~371/mo

Releases R versions

Daily download trend is not available in this view yet.

37630 days

1K90 days

4.4K1 year

Compare downloads with other packages →

Also on108 r2u3 autocran

How downloads are counted

Repository

kennispunttwente/tidyprompt ↗Organization: KennispuntTwente

33Stars

1Forks

2Open issues

0Open PRs

5Releases

732Commits

3Commit identities

llmr-package

732 commits · Last activity 2026-09-29 · +6.5% stars, 30d · Default branch at 0.4.0.9000, ahead of CRAN 0.4.0 (checked 2026-10-18)

Responsiveness

How these are sampled

PRs merged (all time): 90%
Median days to close, 50 most recently updated closed issues: 4
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2025-10-13 · 262026-10-10 · 33

How these are measured

PracticesBeta

11 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/kennispunttwente/tidyprompt on 2026-10-18.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2026-09-29 · The repository has a site deploy workflow

pkgdown site last built 2026-09-29

CRAN release process (1)

cran-comments.md

Lint, format, editor (4)

Lint workflowjarlAirRStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

AI coding toolsBeta

This repository shows signs of AI coding tools.

GitHub Copilotfirst seen 2025-09-24
Seen in the repository: .github/copilot-instructions.md
Pull request: opened by its own account
Commits: 1 by its own account

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

22 external dependencies (excludes base and recommended)

Installing tidyprompt adds 24 packages (16 with compiled code, 20 MB of source tarballs). Heaviest: stringi 11 MB, openssl 1.1 MB, jsonlite 1.0 MB.

Depends (1)

R >= 4.1.0

Imports (10)

dplyr glue httr2 jsonlite stringrutilscli R6 rlang S7

LinkingTo (0)

none

Suggests (14)

knitr rmarkdown testthat withr here callr skimr jsonvalidate DBI ellmer coro ggplot2 mcptoolsgrid

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

Imports 1

Depends, Imports or LinkingTo, most downloaded first

llmhelper

How these are counted

Code & Tests

People & History

People (3)

Luka Koning

Tjark Van de Merwe

Author, Copyright holder

Kennispunt Twente

Funder

Releases (5)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
0.4.0Latest
record
2026-04-21 · current release · diff ↗ ·
added 2 exports
answer_as_dataframe, answer_as_numeric
0.3.0
record
2025-11-30 · diff ↗ ·
added 1 export
add_image
0.2.0
record
2025-08-25 · diff ↗ ·
added 1 export
provider_prompt_wrap
0.1.0
record
2025-08-18 · diff ↗ ·
added 4 exports
answer_as_category, answer_as_multi_category, llm_break_soft, llm_provider_ellmer
R
R 4.5.0 released · 2025-04-11
0.0.1
record
2025-01-08
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2025-01-08
Total releases: 5 / 1 yrs
License: GPL (>= 3) | file LICENSE OSI
Minimum R: ≥ 4.1.0
Download size: 271 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("tidyprompt")

Format

Koning, L., Kennispunt Twente, & Van de Merwe, T. (2026). tidyprompt: Prompt Large Language Models and Enhance Their Functionality (Version 0.4.0) [Computer software]. https://doi.org/10.32614/CRAN.package.tidyprompt

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for tidyprompt version 0.4.0 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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