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#' List or retrieve available model deployments
#'
#' List model deployments available through the Microsoft Foundry v1 data-plane
#' API, or retrieve metadata for one deployment by name. Use the deployment name
#' shown in the Foundry portal as the `model` value in `foundry_response()` and
#' other v1 helpers.
#'
#' @param model Character. Optional deployment name to retrieve.
#' @param api_key Character. Optional API key override.
#' @param token Character. Optional bearer token override.
#' @param endpoint Character. Optional endpoint override.
#' @param api_version Character. Optional API version query value.
#'
#' @return A tibble with model or deployment metadata and the raw model object
#' in a list-column.
#' @export
#'
#' @examples
#' \dontrun{
#' # Requires a configured Azure endpoint and credentials.
#' # Replace gpt-5-nano with an existing deployment name.
#' foundry_models()
#' foundry_models("gpt-5-nano")
#' }
foundry_models <- function(model = NULL,
api_key = NULL,
token = NULL,
endpoint = NULL,
api_version = NULL) {
path <- "models"
if (!is.null(model)) {
foundry_check_character_scalar(model, "model")
path <- paste0("models/", model)
}
req <- foundry_build_v1_request(
path = path,
method = "GET",
api_key = api_key,
token = token,
endpoint = endpoint,
api_version = api_version
)
result <- foundry_perform(req)
foundry_parse_models(result)
}
foundry_parse_models <- function(result) {
models <- result$data %||% list(result)
if (length(models) == 0L) {
return(tibble::tibble(
id = character(),
object = character(),
created = as.POSIXct(character()),
owned_by = character(),
raw_model = list()
))
}
purrr::map_dfr(models, function(model) {
tibble::tibble(
id = model$id %||% NA_character_,
object = model$object %||% NA_character_,
created = foundry_response_created_at(model$created %||% NA_real_),
owned_by = model$owned_by %||% NA_character_,
raw_model = list(model)
)
})
}
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