chat_completion {TheOpenAIR}

Generate Text Using the OpenAI API's Chat Endpoint

Description

This function generates natural language text in a conversational style using the OpenAI API's chat endpoint. It takes a series of chat messages as input, either as a data.frame or a chatlog object, and generates a text completion based on the conversation history and the specified model parameters.

Usage

chat_completion(
  msgs,
  model = "gpt-3.5-turbo",
  temperature = NULL,
  max_tokens = NULL,
  n = NULL,
  stop = NULL,
  presence_penalty = NULL,
  frequency_penalty = NULL,
  best_of = NULL,
  logit_bias = NULL,
  stream = FALSE,
  top_p = NULL,
  user = NULL
)

Arguments

msgs

A data.frame containing the chat history to generate text from or a chatlog object.

model

A character string specifying the ID of the model to use. The default value is "gpt-3.5-turbo".

temperature

An optional numeric scalar specifying the sampling temperature to use.

max_tokens

An optional integer scalar specifying the maximum number of tokens to generate in the text.

n

An optional integer scalar specifying the number of text completions to generate.

stop

An optional character string or character vector specifying one or more stop sequences to use when generating the text.

presence_penalty

An optional numeric scalar specifying the presence penalty to use when generating the text. The default value is NULL.

frequency_penalty

An optional numeric scalar specifying the frequency penalty to use when generating the text. The default value is NULL.

best_of

An optional integer scalar specifying the number of completions to generate and return the best one. The default value is NULL.

logit_bias

An optional named numeric vector specifying the logit bias to use for each token in the generated text.

stream

An optional logical scalar specifying whether to use the streaming API. The default value is FALSE.

top_p

An optional numeric scalar specifying the top p sampling ratio. The default value is NULL.

user

A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse.

Value

A character vector containing the generated text(s).

Author(s)

Ulrich Matter [e-mail]

See Also

https://platform.openai.com/docs/ for more information on the OpenAI API.

Examples

## Not run: 
openai_api_key("your_api_key_here")
msgs_df <- data.frame(role=c("system",
"user",
"assistant",
"user"),
content=c("You are a helpful assistant",
"Who won the world series in 2020?",
"The Los Angeles Dodgers won the World Series in 2020.",
"Where was it played?"))
chat_completion(msgs_df)

## End(Not run)