## ----include = FALSE----------------------------------------------------------
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

## ----setup, eval=FALSE--------------------------------------------------------
# library(openaiRtools)
# 
# # Method 1: Set API key in environment (recommended)
# Sys.setenv(OPENAI_API_KEY = "your-api-key-here")
# client <- OpenAI$new()
# 
# # Method 2: Pass API key directly
# client <- OpenAI$new(api_key = "your-api-key-here")

## ----chat, eval=FALSE---------------------------------------------------------
# # Basic chat completion
# response <- client$chat$completions$create(
#   messages = list(
#     list(role = "user", content = "Hello, how are you?")
#   ),
#   model = "gpt-4"
# )
# 
# cat(response$choices[[1]]$message$content)
# 
# # With parameters
# response <- client$chat$completions$create(
#   messages = list(
#     list(role = "system", content = "You are a helpful assistant."),
#     list(role = "user", content = "What is R?")
#   ),
#   model = "gpt-4",
#   temperature = 0.7,
#   max_tokens = 200
# )

## ----embeddings, eval=FALSE---------------------------------------------------
# # Create embeddings
# response <- client$embeddings$create(
#   input = "The quick brown fox jumps over the lazy dog",
#   model = "text-embedding-ada-002"
# )
# 
# # Access embedding vector
# embedding <- response$data[[1]]$embedding
# cat("Embedding dimension:", length(embedding))

## ----images, eval=FALSE-------------------------------------------------------
# # Generate image
# response <- client$images$create(
#   prompt = "A cute baby sea otter in a spacesuit, digital art",
#   model = "dall-e-3",
#   size = "1024x1024",
#   quality = "hd"
# )
# 
# # Get image URL
# cat("Image URL:", response$data[[1]]$url)

## ----audio, eval=FALSE--------------------------------------------------------
# # Transcribe audio
# transcription <- client$audio$transcriptions$create(
#   file = "recording.mp3",
#   model = "whisper-1"
# )
# 
# cat("Transcription:", transcription$text)
# 
# # Text-to-speech
# audio_data <- client$audio$speech$create(
#   input = "Hello, this is a test of text to speech.",
#   model = "tts-1",
#   voice = "alloy"
# )
# 
# # Save to file
# writeBin(audio_data, "speech.mp3")

## ----errors, eval=FALSE-------------------------------------------------------
# tryCatch(
#   {
#     response <- client$chat$completions$create(
#       messages = list(list(role = "user", content = "Test")),
#       model = "gpt-4"
#     )
#   },
#   openai_api_error = function(e) {
#     cat("API Error:", e$message, "\n")
#     cat("Status Code:", e$status_code, "\n")
#   },
#   openai_connection_error = function(e) {
#     cat("Connection Error:", e$message, "\n")
#   },
#   error = function(e) {
#     cat("General Error:", e$message, "\n")
#   }
# )

## ----config, eval=FALSE-------------------------------------------------------
# client <- OpenAI$new(
#   api_key = "your-key",
#   base_url = "https://api.openai.com/v1",
#   organization = "org-123",
#   project = "proj-456",
#   timeout = 600
# )