Create a Request Skeleton — gptstudio_create

This function dynamically creates a request skeleton for different AI text generation services.

Usage

gptstudio_create_skeleton(
  service = "openai",
  prompt = "Name the top 5 packages in R.",
  history = list(list(role = "system", content = "You are an R chat assistant")),
  stream = TRUE,
  model = "gpt-3.5-turbo",
  ...
)

Arguments

service: The text generation service to use. Currently supports "openai", "huggingface", "anthropic", "google", "azure_openai", "ollama", and "perplexity".
prompt: The initial prompt or question to pass to the text generation service.
history: A list indicating the conversation history, where each element is a list with elements "role" (who is speaking; e.g., "system", "user") and "content" (what was said).
stream: Logical; indicates if streaming responses should be used. Currently, this option is not supported across all services.
model: The specific model to use for generating responses. Defaults to "gpt-3.5-turbo".
...: Additional arguments passed to the service-specific skeleton creation function.

Value

Depending on the selected service, returns a list that represents the configured request ready to be passed to the corresponding API.

Examples

if (FALSE) {
request_skeleton <- gptstudio_create_skeleton(
  service = "openai",
  prompt = "Name the top 5 packages in R.",
  history = list(list(role = "system", content = "You are an R assistant")),
  stream = TRUE,
  model = "gpt-3.5-turbo"
)
}