| %c% | Send a message to ChatGPT and assign the response to a variable |
| 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 |
| chatlog-class | chatlog class |
| chat_completion | Generate Text Using the OpenAI API's Chat Endpoint |
| clean_output | Clean Output From Code Responses |
| clear_chatlog | Clear a chat log |
| contains_roxygen | Check if a text file or character string contains Roxygen2 documentation |
| contains_r_func | Check if a text file or character string contains an R function definition |
| 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_roxygen2 | Extract roxygen2 documentation lines from a function definition |
| extract_r_code | Extract R code and comments from a given input string. |
| get_chatlog | Get the current chatlog |
| 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() |
| 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 |
| r_to_python | Convert R Code to Python Code |
| r_to_python_prompt | Input: message content template for r_to_python() |
| 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() |