Function reference • TheOpenAIR

All functions

add_roxygen(): Add Roxygen2 documentation to an R function

add_roxygen_prompt: Input: message content template for add_roxygen()

add_to_chatlog(): Add data to a chat log

chat(): Start or continue a chat conversation

chat_completion(): Generate Text Using the OpenAI API's Chat Endpoint

chatlog-class: chatlog class

clean_output(): Clean Output From Code Responses

clear_chatlog(): Clear a chat log

contains_r_func(): Check if a text file or character string contains an R function definition

contains_roxygen(): Check if a text file or character string contains Roxygen2 documentation

count_tokens(): Count the number of tokens in a text string

created(): Extract Created DateTime from OpenAI API response

df_to_csv(): Convert a data.frame to a CSV-formatted character string

edit_code(): Edit code based on user's input

extract_blocks(): Extract blocks of a specified type from a list of blocks

extract_blocks_content(): Extract the content parts of blocks

extract_entities(): Extract Entities from a Text

extract_entities_prompt: Input: message content template for extract_entities()

extract_r_code(): Extract R code and comments from a given input string.

extract_roxygen2(): Extract roxygen2 documentation lines from a function definition

get_chatlog(): Get the current chatlog

`%c%`: Send a message to ChatGPT and assign the response to a variable

id(): Extract ID from OpenAI API response

initialize_messages(): Initialize a new messages object for OpenAI API chat completions

install_tiktoken(): Install the tiktoken Python package

is_chatlog(): Determine if an object is a chatlog

is_json(): Check if the provided string is in valid JSON format.

is_python(): Check if a Character String Contains Valid Python Code

is_r(): Check if a character string contains valid R code

is_xml(): Check if the provided string is in valid XML format.

java_to_r(): Convert Java code to R code

java_to_r_prompt: Input: message content template for java_to_r()

messages(): Extract messages from a response object or a chatlog object

messages_content(): Extract Messages Content from OpenAI API Response

model(): Extract Model from OpenAI API response

nested_to_pipe(): Convert nested R code to pipe syntax

nested_to_pipe_prompt: Input: message content template for nested_to_pipe()

num_tokens(): Get number of tokens in a string using OpenAI's tiktoken library

num_tokens_file(): Compute total number of tokens in a text file

object(): Extract object information from OpenAI API response

openai_api_key(): Set OpenAI API Key as an Environment Variable

parse_response(): Parse a Response From the API

python_to_r(): Convert Python code to R code

python_to_r_prompt: Input: message content template for python_to_r()

r_to_python(): Convert R Code to Python Code

r_to_python_prompt: Input: message content template for r_to_python()

read_text(): Convert Text to Tidy-Text Format

read_text_batches(): Load data from text files in batches

refactor(): Refactor R Code with AI Assistance

refactor_prompt: Input: message content template for refactor()

references_to_bibtex(): Convert references in plain text to BibTeX format

references_to_bibtex_prompt: Input: message content template for references_to_bibtex()

regenerate(): Regenerate the last response in an ongoing chat

replace_file_extension(): Replace File Extension

set_chatlog(): Set up a new chatlog

split_text(): Split Text into Chunks

start_chat(): Start a new chat session

trump: Essay on How Donald Trump Became President of the United States

usage(): Extract usage data from OpenAI API response

write_code(): Write code based on user's input

write_test(): Write test for an R function

write_test_prompt: Input: message content template for write_test()