- object
An object of either class 'gpt'
or 'chatgpt'
.
- api_key
Numerical value with your personal API key. Default setting draws
on the get_api_key()
to retrieve the API key from the R environment, so that the key is not
compromised. The API key can be added to the R environment via set_api_key()
or by using usethis::edit_r_environ()
. In the .Renviron
file, write CHATGPT_KEY=INSERT_YOUR_KEY_HERE
.
After entering the API key, close and save the .Renviron
file and restart RStudio
(ctrl + shift + F10).
Alternatively, one can use httr2::secret_make_key()
, httr2::secret_encrypt()
, and
httr2::secret_decrypt()
to scramble and decrypt the API key.
- max_tries, max_seconds
'Cap the maximum number of attempts with
max_tries
or the total elapsed time from the first request with
max_seconds
. If neither option is supplied (the default), httr2::req_perform()
will not retry' (Wickham, 2023). Default max_tries
is 16. If missing, the value of max_seconds
from the original screening conducted with tabscreen_gpt()
will be used.
- is_transient
'A predicate function that takes a single argument
(the response) and returns TRUE
or FALSE
specifying whether or not
the response represents a transient error' (Wickham, 2023). If missing, the is_transient
function from the original screening conducted with tabscreen_gpt()
will be used.
- backoff
'A function that takes a single argument (the number of failed
attempts so far) and returns the number of seconds to wait' (Wickham, 2023).
If missing, the backoff
value from the original screening conducted with tabscreen_gpt()
will be used.
- after
'A function that takes a single argument (the response) and
returns either a number of seconds to wait or NULL
, which indicates
that a precise wait time is not available that the backoff
strategy
should be used instead' (Wickham, 2023). If missing, the after
value
from the original screening conducted with tabscreen_gpt()
will be used.
- ...
Further argument to pass to the request body. See https://platform.openai.com/docs/api-reference/chat/create.
If used in the original screening in tabscreen_gpt()
, the argument(s)
must be specified here again.