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),
  workers = integer(0),
  beep = logical(0),
  echo = logical(0),
  chat_status = character(0)
)

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")
workers: Number of parallel workers
beep: Play sound on completion (default: TRUE)
echo: Whether to echo messages during processing (default: FALSE)
chat_status: Character vector tracking individual chat completion status ("pending", "completed", or "failed")

Value

Returns a "process" object with a collection of prompts and their responses from chat models. The object contains all input parameters as properties and provides access to functions for:

Extracting responses via texts()
Accessing chat objects via chats()
Tracking progress via progress()

The process object manages prompt processing and tracks completion status.

Examples

if (FALSE) { # ellmer::has_credentials("openai")
# Create chat processor
chat <- seq_chat("openai/gpt-4.1")

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

# Return responses
response$texts()

# Return chat objects
response$chats()

# Check progress if interrupted
response$progress()
}