![]() ![]() ![]() If you're using gpt-4 you'd want to to set this limit to something much higher. CTXLIM puts an upper bound on the input, by default 2750 tokens, which leaves ~1346 tokens for the response, however, even using OpenAI's tokenizer this can be off by a few tokens (see: 'openai-cookbook'). For instance, gpt-3.5-turbo has a limit of 4096 tokens. What does STATGPT_CTXLIM do? Each OpenAI model comes with a token limitation shared between input and response. What does OPENAI_TEMPERATURE do? Temperature ranges 0-2 and controls the level of randomness and creativity in output, with values at or close to 0 being nearly deterministic. It also uses the R packages reticulate, httr, and jsonlite. StatGPT requires Open AI's tiktoken and therefore Python 3.8 or higher. Sys.setenv(STATGPT_CTXLIM = 2750) # Input context limit (optional default ~2750 tokens)Īlternatively, you can set persistent keys in your. Sys.setenv(STATGPT_DEBUG = 0) # Debug logging (optional default: 0) Sys.setenv(OPENAI_TEMPERATURE = 0.25) # Temperature (optional default 0.25) The following steps represent a minimal workflow for using Python with RStudio Connect via the reticulate package, whether you are using the RStudio IDE on your local machine or RStudio Workbench (previously RStudio Server Pro). Sys.setenv(OPENAI_MODEL = "gpt-3.5-turbo") # Model (optional default: gpt-3.5-turbo) Sys.setenv(OPENAI_API_KEY = "your api key here") # API key ![]()
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