I am looking to integrate the OpenAI GPT-4 model into my application. Here are the details I have:
https://xxxxxxxxxxxxxxx.openai.azure.com/
yyyyyyyyyyyyyyyyyyyyyyyy
gpt-4o
gpt-4o
2024-02-01
I edited the .Renviron
file accordingly:
AZURE_OPENAI_TASK="completions"
AZURE_OPENAI_ENDPOINT="https://xxxxxxxxxxxxxxx.openai.azure.com/"
AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4o"
AZURE_OPENAI_KEY="*******************"
AZURE_OPENAI_API_VERSION="2024-02-01"
AZURE_OPENAI_USE_TOKEN=FALSE
I want to integrate it with gptstudio
. Could someone guide me on authenticating and making API requests to this endpoint?
I tried:
library(gptstudio)
chat(service = "azure_openai", prompt = "hello", model = "gpt-4)
#> $messages
#> $messages[[1]]
#> $messages[[1]]$role
#> [1] "system"
#>
#> $messages[[1]]$content
#> As a chat bot assisting an R programmer working in the RStudio IDE it is important to tailor responses to their skill level and preferred coding style. They consider themselves to be a beginner R programmer. Provide answers with their skill level in mind.
#>
#>
#> $messages[[2]]
#> $messages[[2]]$role
#> [1] "user"
#>
#> $messages[[2]]$content
#> [1] "hello"
#> Error in `query_api_azure_openai()`:
#> ✖ Azure OpenAI API request failed. Error 400 - Bad Request
#> ℹ Visit the Azure OpenAi Error code guidance
#> (<https://help.openai.com/en/articles/6891839-api-error-code-guidance>) for
#> more details
#> ℹ You can also visit the API documentation
#> (<https://platform.openai.com/docs/guides/error-codes/api-errors>)
I would recommend Hadley Wickham's new package elmer
. It is very simple.
You can save your Azure API configuration in the .Renviron
by calling usethis::edit_r_environ()
where you can setup: AZURE_OPENAI_ENDPOINT
, AZURE_OPENAI_DEPLOYMENT_NAME
, AZURE_OPENAI_API_VERSION
and AZURE_OPENAI_KEY
.
Then you can use them to configure your chat
object:
library(elmer)
chat <- chat_azure(endpoint = Sys.getenv("AZURE_OPENAI_ENDPOINT"),
deployment_id = Sys.getenv("AZURE_OPENAI_DEPLOYMENT_NAME"),
api_version = Sys.getenv("AZURE_OPENAI_API_VERSION"),
api_key = Sys.getenv("AZURE_OPENAI_KEY"))
One example:
chat$chat("What is R?")
#> R is a programming language and free software environment used primarily for
#> statistical computing and data analysis. It was created by statisticians Ross
#> Ihaka and Robert Gentleman in 1993. The R environment provides a wide variety
#> of statistical and graphical techniques, and it is highly extensible. This
#> makes it a powerful tool for data manipulation, calculation, and graphical
#> display.
#>
#> R features include:
#> - An effective data handling and storage facility
#> - A suite of operators for calculations on arrays, in particular matrices
#> - A large, coherent, and integrated collection of intermediate tools for data
#> analysis
#> - Graphical facilities for data analysis and display, either on-screen or on
#> hardcopy
#> - A well-developed, simple, and effective programming language which includes
#> conditionals, loops, user-defined recursive functions, and input and output
#> facilities.
#>
#> R has a large and active community, with many packages available to extend its
#> capabilities. These packages are often contributed by users and cover
#> specialized areas of statistics, machine learning, bioinformatics, and more.
#> The Comprehensive R Archive Network (CRAN) is the main repository for these
#> packages. Because of its power and flexibility, R is widely used in academia,
#> research, and industry.