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The cat.llm meta-package re-exports the core functions from cat.stack so they are available immediately after library(cat.llm). Behavior and arguments are identical to the originals — the links below point at the canonical documentation in cat.stack.

Details

classify

Classify text, images, or PDFs into predefined categories.

extract

Discover and extract categories from data when no scheme is predefined.

explore

Raw category extraction for saturation analysis.

summarize

Summarize text, images, or PDFs in several formats.

prompt_tune

Interactive, human-in-the-loop tuning of the classification system prompt.

install_cat_stack

One-time installer for the Python catstack backend.

ensure_ollama_running

Check (and optionally start) a local Ollama server before running local-model classification.

list_ollama_models

List locally installed Ollama models.

check_ollama_model

Check whether a specific Ollama model is installed locally.

pull_ollama_model

Download an Ollama model to the local installation.