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llmflow: Reasoning and Acting Workflow for Automated Data Analysis

Provides a framework for integrating Large Language Models (LLMs) with R programming through workflow automation. Built on the ReAct (Reasoning and Acting) architecture, enables bi-directional communication between LLMs and R environments. Features include automated code generation and execution, intelligent error handling with retry mechanisms, persistent session management, structured JSON output validation, and context-aware conversation management.

Version: 3.0.2
Depends: R (≥ 4.1.0)
Imports: callr, cli, glue, jsonlite, jsonvalidate
Suggests: ellmer, testthat (≥ 3.0.0)
Published: 2026-01-31
DOI: 10.32614/CRAN.package.llmflow
Author: Zaoqu Liu ORCID iD [aut, cre]
Maintainer: Zaoqu Liu <liuzaoqu at 163.com>
BugReports: https://github.com/Zaoqu-Liu/llmflow/issues
License: GPL (≥ 3)
URL: https://github.com/Zaoqu-Liu/llmflow
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: llmflow results

Documentation:

Reference manual: llmflow.html , llmflow.pdf

Downloads:

Package source: llmflow_3.0.2.tar.gz
Windows binaries: r-devel: not available, r-release: llmflow_3.0.2.zip, r-oldrel: llmflow_3.0.2.zip
macOS binaries: r-release (arm64): llmflow_3.0.2.tgz, r-oldrel (arm64): llmflow_3.0.2.tgz, r-release (x86_64): llmflow_3.0.2.tgz, r-oldrel (x86_64): llmflow_3.0.2.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.