build_doc_summarizer_agent: Build a Document Summarizer Agent

In LLMAgentR: Language Model Agents in R for AI Workflows and Research

Build a Document Summarizer Agent

Description

Creates an LLM-powered document summarization workflow that processes PDF, DOCX, PPTX, TXT, or plain text input and returns structured markdown summaries.

Usage

build_doc_summarizer_agent(
  llm,
  summary_template = NULL,
  chunk_size = 4000,
  overlap = 200,
  verbose = TRUE
)

Arguments

llm	A function that accepts a character prompt and returns an LLM response.
summary_template	Optional custom summary template in markdown format.
chunk_size	Maximum character length for document chunks (default: 4000).
overlap	Character overlap between chunks (default: 200).
verbose	Logical controlling progress messages (default: TRUE).

Value

A function that accepts file paths or text input and returns:

• summary - The generated markdown summary

• metadata - Document metadata if available

• chunks - Number of processing chunks used

• success - Logical indicating success

Examples

## Not run: 
# Build document summarizer agent
summarizer_agent <- build_doc_summarizer_agent(
  llm = my_llm_wrapper,
  summary_template = NULL,
  chunk_size = 4000,
  overlap = 200,
  verbose = FALSE
)

# Summarize document
final_state <- summarizer_agent("https://github.com/knowusuboaky/LLMAgentR/raw/main/\
tests/testthat/test-data/scrum.docx")

## End(Not run)

LLMAgentR documentation built on June 8, 2025, 10:02 a.m.