Research Agent • LLMAgentR

What This Agent Does

build_researcher_agent() performs web search and asks an LLM to produce a research-style answer.

Workflow Diagram

Generate Mermaid PNGs

library(LLMAgentR)

my_llm_wrapper <- function(prompt, verbose = FALSE) "LLM response placeholder"

workflow <- build_researcher_agent(
  llm = my_llm_wrapper,
  tavily_search = "your-tavily-key",
  output = "both",
  direction = "LR"
)

save_mermaid_png(
  x = workflow,
  file = "pkgdown/assets/research-agent-workflow.png"
)

Step 1: Build the Agent

library(LLMAgentR)

my_llm_wrapper <- function(prompt, verbose = FALSE) "LLM response placeholder"

researcher <- build_researcher_agent(
  llm = my_llm_wrapper,
  tavily_search = NULL, # uses Sys.getenv("TAVILY_API_KEY")
  max_results = 5,
  max_tries = 3,
  backoff = 2,
  verbose = FALSE
)

Step 2: Run a Query

result <- researcher("What are recent trends in open-source LLM tooling?")
str(result)

Notes for Beginners

Set your Tavily key first: Sys.setenv(TAVILY_API_KEY = "...").
Inspect search_results in the output for source sanity checks.
Use this for research summaries, not legal/medical final advice.