Process response class for managing chat processing

Usage

process(
  prompts = list(),
  responses = list(),
  completed = integer(0),
  file = character(0),
  type = NULL,
  progress = logical(0),
  input_type = character(0),
  chunk_size = integer(0),
  workers = integer(0),
  beep = logical(0),
  echo = logical(0),
  state = list()
)

Arguments

prompts: List of prompts to process
responses: List to store responses
completed: Integer indicating number of completed prompts
file: Path to save state file (.rds)
type: Type specification for structured data extraction
progress: Whether to show progress bars (default: TRUE)
input_type: Type of input ("vector" or "list")
chunk_size: Size of chunks for parallel processing
workers: Number of parallel workers
beep: Play sound on completion (default: TRUE)
echo: Whether to echo messages during processing (default: FALSE)
state: Internal state tracking

Value

Returns an S7 class object of class "process" that represents a collection of prompts and their responses from chat models. The object contains all input parameters as properties and provides methods for:

Extracting text responses via texts() (includes structured data when a type specification is provided)
Accessing full chat objects via chats()
Tracking processing progress via progress()

The process object manages prompt processing and tracks completion status.

Examples

if (FALSE) { # ellmer::has_credentials("openai")
# Create a chat processor
chat <- chat_sequential(chat_openai())

# Process a batch of prompts
response <- chat$process(list(
  "What is R?",
  "Explain base R versus tidyverse",
  "Explain vectors, lists, and data frames"
))

# Check the progress if interrupted
response$progress()

# Return the responses as a vector or list
response$texts()

# Return the chat objects
response$chats()
}