Chat Interface for gptstudio — chat • gptstudio

This function provides a high-level interface for communicating with various services and models supported by gptstudio. It orchestrates the creation, configuration, and execution of a request based on user inputs and options set for gptstudio. The function supports a range of tasks from text generation to code synthesis and can be customized according to skill level and coding style preferences.

Usage

chat(
  prompt,
  service = getOption("gptstudio.service"),
  history = list(list(role = "system", content = "You are an R chat assistant")),
  stream = FALSE,
  model = getOption("gptstudio.model"),
  skill = getOption("gptstudio.skill"),
  style = getOption("gptstudio.code_style", "no preference"),
  task = getOption("gptstudio.task", "coding"),
  custom_prompt = NULL,
  process_response = FALSE,
  session = NULL,
  ...
)

Arguments

prompt: A string containing the initial prompt or question to be sent to the model. This is a required parameter.
service: The AI service to be used for the request. If not explicitly provided, this defaults to the value set in getOption("gptstudio.service"). If the option is not set, make sure to provide this parameter to avoid errors.
history: An optional parameter that can be used to include previous interactions or context for the current session. Defaults to a system message indicating "You are an R chat assistant".
stream: A logical value indicating whether the interaction should be treated as a stream for continuous interactions. If not explicitly provided, this defaults to the value set in getOption("gptstudio.stream").
model: The specific model to use for the request. If not explicitly provided, this defaults to the value set in getOption("gptstudio.model").
skill: A character string indicating the skill or capability level of the user. This parameter allows for customizing the behavior of the model to the user. If not explicitly provided, this defaults to the value set in getOption("gptstudio.skill").
style: The coding style preferred by the user for code generation tasks. This parameter is particularly useful when the task involves generating code snippets or scripts. If not explicitly provided, this defaults to the value set in getOption("gptstudio.code_style").
task: The specific type of task to be performed, ranging from text generation to code synthesis, depending on the capabilities of the model. If not explicitly provided, this defaults to the value set in getOption("gptstudio.task").
custom_prompt: An optional parameter that provides a way to extend or customize the initial prompt with additional instructions or context.
process_response: A logical indicating whether to process the model's response. If TRUE, the response will be passed to gptstudio_response_process() for further processing. Defaults to FALSE. Refer to gptstudio_response_process() for more details.
session: An optional parameter for a shiny session object.
...: Reserved for future use.

Value

Depending on the task and processing, the function returns the response from the model, which could be text, code, or any other structured output defined by the task and model capabilities. The precise format and content of the output depend on the specified options and the capabilities of the selected model.

Examples

if (FALSE) { # \dontrun{
# Basic usage with a text prompt:
result <- chat("What is the weather like today?")

# Advanced usage with custom settings, assuming appropriate global options are set:
result <- chat(
  prompt = "Write a simple function in R",
  skill = "advanced",
  style = "tidyverse",
  task = "coding"
)

# Usage with explicit service and model specification:
result <- chat(
  prompt = "Explain the concept of tidy data in R",
  service = "openai",
  model = "gpt-4-turbo-preview",
  skill = "intermediate",
  task = "general"
)
} # }