Find updated rate limits for API models — rate_limits_per

rate_limits_per_minute reports the rate limits for a given API model. The function returns the available requests per minute (RPM) as well as tokens per minute (TPM). Find general information at https://platform.openai.com/docs/guides/rate-limits/overview.

Usage

rate_limits_per_minute(
  model = "gpt-4o-mini",
  AI_tool = "gpt",
  api_key = get_api_key()
)

Arguments

model: Character string with the name of the completion model. Default is "gpt-4o-mini". Can take multiple values. Find available model at https://platform.openai.com/docs/models/model-endpoint-compatibility.
AI_tool: Character string specifying the AI tool from which the API is issued. Default is "gpt".
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.

Value

A tibble including variables with information about the model used, the number of requests and tokens per minute.

Examples

if (FALSE) { # \dontrun{
set_api_key()

rate_limits_per_minute()
} # }