Composes a short, citable account of a run: a design header (kind, run id,
the participating agents, and a compact workflow summary), the model and
token paragraph drafted by LLMR::llm_methods_text() over the run's
call-level rows, and a one-line limits note. When no calibration is attached
and the run is not a calibrated inference, the note states that the results
are model-conditioned and are not estimates of a human population.
Usage
# S3 method for class 'agent_run'
report(x, ...)Arguments
- x
An object accepted by
as_agent_run().- ...
May include
task, a one-clause description of what the model was asked to do (spliced into the methods paragraph).
Value
An object of class agent_report: a character vector with a print
method that cat()s the lines.
Examples
if (FALSE) { # \dontrun{
a <- agent("Aria", LLMR::llm_config("groq", "openai/gpt-oss-20b"))
a$chat("Hello")
report(a, task = "to answer a factual question")
} # }